T-ITS Editorial Board
Editor in Chief
Dr. Azim Eskandarian (Fellow of ASME) is a Professor and Head of the Mechanical Engineering Department at Virginia Tech since August 2015. Prior to that, he was a Professor of Engineering and Applied Science at The George Washington University (GWU) and the founding Director of the Center for Intelligent Systems Research (1996-2015), the director of the “Transportation Safety and Security” University Area of Excellence (2002-2015), and the co-founder of the National Crash Analysis Center (1992) and its Director (1998-2002 & 5/2013-7/2015). Earlier, he was an Assistant Professor at Pennsylvania State University, York, PA (1989-92) and worked as an engineer/project manager in industry (1983-89.) He has 30 years of experience in dynamics and control, intelligent systems, and applied mechanics, with applications in intelligent vehicles, vehicle dynamics and control, automotive safety, neuro-engineering, and robotics. He received his BS (1982), MS (1983), and D.Sc. (1991) in Mechanical Engineering from GWU, Virginia Tech, and GWU, respectively. He is the Chief Editor and co-author of the Handbook of Intelligent Vehicles, 3 other edited volumes and author/co-author of over 150 papers, 1 book, 7 book chapters, and 1 Patent.
Intelligent and Autonomous Vehicles
Vehicle Dynamics and Control
Advanced Driver Assistance Systems
Dr. Angelos Amditis is Research Director in the Institute of Communication and Computer Systems (ICCS), and member of its Board of Directors. He is the founder and the Head of the I-SENSE Group. He is the President and one of the founding members of ITS Hellas and the Chairman of the EUROVR Association. He is representing ICCS at ERTICO where he is also a member of its Supervisory Board, of its Strategy Committee and of the Electromobility and Automation Task Forces. He is the writer of several peer reviewed journal articles, book chapters and conference papers. He has participated in more than 80 projects in the last 15 years and he is currently the coordinator of the following projects: FABRIC (www.fabric-project.eu/), AutoNet2030 (http://www.autonet2030.eu/), INACHUS (http://www.inachus.eu/), RECONASS (http://www.reconass.eu/), ROBO-SPECT (http://www.robo-spect.eu/) and SENSKIN (http://www.senskin.eu/).
2. Cooperative Systems
3. Automated Transport Systems
4. Smart Mobility
Bart De Schutter
Bart De Schutter is full professor at the Delft Center for Systems and Control of Delft University of Technology in Delft, The Netherlands. He received the PhD degree in Applied Sciences in 1996, at K.U.Leuven, Belgium. Bart De Schutter is associate editor of Automatica and senior editor of the IEEE Transactions on Intelligent Transportation Systems. His current research interests include freeway and urban traffic control, control of large-scale transportation networks, intelligent vehicles, control of hybrid systems, multi-agent systems, and optimization.
1. Traffic management and control
2. Control of large-scale transportation networks
3. Cooperative vehicle infrastructure systems
4. Optimization and logistics
Chelsea C. White III
Chelsea C. White III is the Schneider National Chair of Transportation & Logistics H. Milton Stewart School of Industrial & Systems Engineering at the Georgia Institute of Technology. He received his Ph.D. from the University of Michigan in 1974 in Computer, Information, and Control Engineering. His has served as President of the IEEE Systems, Man, and Cybernetics Society (1992 � 93), received the Norbert Wiener Award in1999 and the Joseph G.Wohl Outstanding Career Award in 2005, both from the IEEE SMC Society, and an IEEE Third Millennium Medal. He is the recipient of the 2008 IEEE ITS Society Outstanding Research Award. He is a Fellow of the IEEE, a Fellow of INFORMS, and the founding chair of the IEEE TAB Committee on ITS (now the IEEE ITS Society). He is the former Editor of the IEEE Transactions on SMC, Parts A and C, and was the founding Editor of the IEEE Transactions on ITS. He has published primarily in the areas of the control of finite stochastic systems and knowledge-based decision support systems. His most recent research interests include freight transportation and the control of logistics and supply chain systems.
1. Markov decision processes
2. Freight transportation
4. Supply chain systems
Technology (TU Wien) and Director of the Christian Doppler Laboratory for Wireless Technologies for Sustainable Mobility. He received the Dipl-Ing. degree in Electrical Engineering from TU Wien in 1992 and the Dr.-Ing. degree from Ruhr-University of Bochum in 1998, respectively. He is a Senior Member of IEEE, Member of EURASIP and VDE. He is the author/coauthor of 6 book chapters and over 250 papers.
For more information: http://www.nt.tuwien.ac.at/about-us/staff/christoph-mecklenbraeuker/
1. Vehicular Channels: V2V and V2I
2. Dependable Connectivity for Intelligent Transport Systems
3. Ultrawideband Radio and Millimeter Waves for In-vehicle Sensor Networks
4. Nearfield Systems: RFID and Wireless Power Transfer
Cristina Olaverri Monreal
Cristina Olaverri Monreal is a Professor at the Johannes Kepler University, Linz, Austria, holding the BMK endowed Professorship and Chair for Sustainable Transport Logistics 4.0.
She received her Masters and PhD degrees from the Ludwig-Maximilians-Universit�t (LMU) in Munich, Germany in cooperation with BMW. She has been working internationally in the industry and in the academia, on studying solutions for an efficient and effective transportation, focusing particularly on minimizing the barrier between users and road systems. To this end, she relies on the automation, wireless communication and sensing technologies that pertain to the field of Intelligent Transportation Systems (ITS). She is the current president elect of the IEEE ITS Society. She has been recognized for her dedicated contribution to continuing education in the field of ITS with the 2017 IEEE Educational Activities Board Meritorious Achievement Award in Continuing Education.
For more information, see webpage
1. Sustainable Transportation
2. Human Factors
3. Driving Simulation Tools
4. Human Machine Interaction
Elisabeth Uhlemann is an Associate Professor of Communications Systems at M�lardalen University, Sweden, where she is also the vice dean of research and research education. She received her PhD degree from Chalmers University of Technology in 2004. She has worked with Volvo Technology on connected vehicles, contributed to the European ITS communications architecture produced within COMeSafety and she has served as a technical expert in ETSI TC ITS. She has held visiting positions at Uni. South Australia, TU Berlin and Uni. Canterbury, New Zealand. She is a Research Grant Reviewer for Vinnova, Sweden�s innovation agency, in the area of vehicular electronics, software and communications, serves as a senior editor for IEEE VT Magazine in the area of Connected Vehicles and associate editor for IET Electronics Letters. She is also vice chair of the Swedish IEEE VT/COM/IT chapter.
1. Communications (intervehicle and vehicle-to-road- side)
3. Reliability & Quality Assurance
4. Sensors (infrastructure and vehicle-based)
Erik Strom is a Professor of Electrical Engineering at Chalmers University of Technology, Gothenburg, Sweden. Dr. Str�m currently heads the Division of Communications, Antennas, and Optical Networks, is the Director of ChaseOn, a Vinnova Competence Center focused on antenna system, and the Director of Chalmers� Area of Advance Information and Communication Technologies. He received his M.S. degree from the Royal Institute of Technology (KTH), Stockholm, Sweden, in 1990, and the Ph.D. degree from the University of Florida, Gainesville, in 1994, both in electrical engineering. He is a Fellow of the IEEE, and the recipient of Chalmers Pedagogical Prize in 1998, the Chalmers Ph.D. Supervisor of the Year award in 2009, and the Chalmers Area of Advance Award in 2020.
For more information, see http://www.chalmers.se/en/staff/Pages/erik-strom.aspx
2. Signal Processing
3. Antenna Systems
Fei-Yue Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. Currently, he is the Director of the State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences and the President of CAA Supervision Council. He was the past EiC of IEEE Transactions on ITS, Founding EiC of IEEE ITS magazine and the President of IEEE ITS Society. He is EiC of IEEE Transactions on Computational Social Systems, Founding EiC of IEEE/CAA Journal of Automatica Sinica and Chinese Journal of Command and Control. Dr. Wang has been elected as Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China and was awarded the Outstanding Scientist by ACM for his research contributions in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009, 2011 and 2015, and IEEE SMC Norbert Wiener Award in 2014.
For more information: http://sourcedb.ia.cas.cn/en/iaexpert/200908/t20090804_2310468.html
1. Intelligent and Autonomous Vehicles
2. Traffic Management and Control
3. Traffic Signal Control Optimization
4. Traffic Sensing and Perception
Hani S. Mahmassani
Dr. Hani S. Mahmassani holds the William A. Patterson Distinguished Chair in Transportation at Northwestern University, where he is the Director of the Northwestern University Transportation Center. He specializes in traffic science, network modeling and algorithms, transportation-telecommunications interactions, dynamic system management, and real-time operation of logistics and distribution systems. He received the 2010 IEEE Outstanding Intelligent Transportation Systems Application Award, recognizing pioneering contributions to development of dynamic network modeling software (DYNASMART). He has served as principal investigator on numerous funded research projects sponsored by international, national, state, and metropolitan agencies and private industry. He received his PhD from the Massachusetts Institute of Technology in transportation systems and his MS in transportation engineering from Purdue University.
For more information: http://www.transportation.northwestern.edu/mahmassani/
Hesham A. Rakha
Hesham A. Rakha is the Samuel Reynolds Pritchard Professor of Engineering in the Charles E. Via, Jr. Department of Civil and Environmental Engineering, a Courtesy Professor in the Bradley Department of Electrical and Computer Engineering, and directs the Center for Sustainable Mobility at the Virginia Tech Transportation Institute. He holds a B.Sc. degree in Civil and Engineering from Cairo University (1987), M.Sc. and Ph.D. degrees in Civil and Environmental Engineering from Queen�s University, Kingston, Ontario in 1990 and 1993, respectively. His research focuses on large-scale transportation system optimization, modeling and assessment. He works on optimizing transportation system operations, including vehicle routing, developing various network and traffic signal control algorithms, developing freeway control strategies (speed harmonization and ramp metering), and optimizing vehicle motion (lateral and longitudinal) to reduce their energy consumption while ensuring their safety. Dr. Rakha and his researchers apply machine-learning techniques, as needed, in the development of the control systems that can adapt to the dynamic changes in the surrounding environment. In the area of large-scale transportation system modeling, Dr. Rakha and his researchers have expanded the domain of knowledge (in traveler and driver behavior modeling) and developed a suite of multi-modal agent-based transportation modeling tools, including the INTEGRATION microscopic traffic simulation software. This software was used to evaluate the first dynamic route guidance system, TravTek in Orlando, Florida; to model the Greater Salt Lake City area in preparation for the 2002 Winter Olympic Games; to model Beijing in preparation for the 2008 Summer Olympic Games; to optimize and evaluate the performance of alternative traveler incentive strategies to reduce network-wide energy consumption in the Greater Los Angeles area; and to develop and test an Eco-Cooperative Automated Control (Eco-CAC) system. In the area of transportation system assessment, Dr. Rakha and his researchers continue to develop the theory and models needed to quantify the efficiency, safety, energy, and environmental impacts of these systems. In this domain, Dr. Rakha�s distinctive technical contributions is in the area of transportation energy modeling and optimization. Specifically, he has developed various vehicle energy and fuel consumption models that are used world-wide to assess the energy and environmental impacts of Intelligent Transportation System (ITS) applications and emerging Connected Automated Vehicle (CAV) systems. The models include the VT-Micro, VT-Meso, the Virginia Tech Comprehensive Fuel consumption Model (VT-CPFM), the VT-CPEM, and the VT-CPHEM models. He is an IEEE Fellow and the author/coauthor of 5 books, 228 refereed journal publications, and 257 refereed conference publications. He has over 14,750 citations (Google Scholar) and an h-index of 60.
For more information see webpage https://sites.google.com/a/vt.edu/hrakha/.
1. Traffic Flow Modeling and Control
2. Connected/Automated Vehicle Control
3. Vehicle Energy Consumption and Emission Modeling
4. Transportation System Safety Modeling
Hussein Dia is Associate Professor at Swinburne University of Technology in Melbourne, Australia. He is a Civil Engineer with leadership credentials in ITS and Transport Modeling. He has 30 years of engineering experience in the public and private sectors. He previously held a number of senior ITS positions including Director, ITS Research Laboratory at the University of Queensland; Director, ITS Australia; and Technical Leader, ITS at AECOM. His interests are in next generation smart infrastructure systems and the convergence of technology, infrastructure and human elements in urban environments. Hussein received his Bachelor and Masters degrees from Purdue University, and his PhD from Monash University. His standing in this field is demonstrated by more than 100 publications including a book on ITS. He is a Chartered Professional Engineer, Fellow of the American Society of Civil Engineers, Fellow of Engineers Australia, and Fellow of the Institute of Transportation Engineers.
1. Smart mobility
2. Traffic and transport modelling and simulation
3. Network management and optimization
4. Traveler information and dynamic driver behavior models
Lily Elefteriadou is the Director of the UF Transportation Institute (UFTI), and the Barbara Goldsby Professor of Civil Engineering at the University of Florida. She received her Ph.D. from the New York University�s Polytechnic Institute in 1994, her MS from Auburn University in 1990, and her Graduate Diploma from Aristotle University, Thessaloniki, Greece, in 1987. She has received several awards for her research including the 2021 ARTBA SS. Steinberg Award and the 2019 ASCE Harland Bartholomew Award. She is the author of a textbook on Traffic Flow Theory and more than 300 papers and reports.
For more information, see webpage
1. Traffic Flow Modeling
2. Traffic Simulation
3. Traffic Management with Autonomous and Connected Vehicles
4. Highway Capacity Analysis
Matthew Barth (Member 1990, Senior Member 2000, Fellow 2014) is the Yeager Families Professor at the College of Engineering, University of California-Riverside. He is part of the intelligent systems faculty in Electrical and Computer Engineering and is also serving as the Director for the Center for Environmental Research and Technology (CE-CERT), UCR�s largest multi-disciplinary research center. He received his B.S. degree in Electrical Engineering/Computer Science from the University of Colorado in 1984, and M.S. (1985) and Ph.D. (1990) degrees in Electrical and Computer Engineering from the University of California, Santa Barbara. Dr. Barth joined the University of California-Riverside in 1991, conducting research in Intelligent Systems. Dr. Barth�s research focuses on applying engineering system concepts and automation technology to Transportation Systems, and in particular how it relates to energy and air quality issues. His current research interests include ITS and the Environment, Transportation/Emissions Modeling, Vehicle Activity Analysis, Advanced Navigation Techniques, Electric Vehicle Technology, and Advanced Sensing and Control. Dr. Barth is active with the U.S. Transportation Research Board serving in a variety of roles in several committees, including the Committee on ITS and the Committee on Transportation Air Quality. He was awarded the TRB Pyke Johnson Award for TRB outstanding paper in 2007. In 2011, he was one of the winners of the Connected Vehicle Technology Challenge sponsored by U.S. Department of Transportation�s Research and Innovative Technology Administration (RITA). He has also served on a number of National Research Council (NRC) Committees. Dr. Barth has also been active in IEEE Intelligent Transportation System Society for many years, participating in conferences as a presenter, invited session organizer, session moderator, reviewer, associate editor of the Transactions of ITS, and member of the IEEE ITSS Board of Governors. He was the IEEE ITSS Vice President for Conferences from 2011-2012, President-Elect for 2013, President for 2014-2015, and is currently serving as Past President for 2016.
1. ITS and the Environment
2. Transportation/Emissions Modeling
3. Vehicle Activity Analysis
4. Advanced Navigation Techniques
Mauro Da Lio
Mauro Da Lio received the Laurea degree in mechanical engineering from the University of Padova, Padova, Italy, in 1986. He is currently a Full Professor of mechanical systems with the University of Trento, Trento, Italy. Formerly, he was with an off- shore oil research company in underwater robotics (EUREKA project). He has been involved in several EU framework programme 6 and 7 projects (PReVENT, SAFERIDER, interactIVe, VERITAS, adaptIVe, and NoTremor). His earlier research activity was on modeling, simulation, and optimal control of vehicles (including motorcycles). More recently, his focus has shifted to the modeling of human sensory�motor control, particularly drivers (but also motor-impaired people) and to the engineering to artificial cognitive systems and robotics (in particular artificial co-drivers).
1. Advanced Drivers Assistance Systems
2. Automated Driving
3. Vehicle Dynamics and Control
4. Robotics and Human-Robot Interaction
Meng Lu - Strategic Innovation Manager, at Peek Traffic B.V. (Dynniq Group), The Netherlands. PhD at LTH (Faculty of Engineering), Lund University, Sweden (2007); Master's title and degree of Engineering in The Netherlands (2002) and P.R. China (1995). Senior Member of IEEE. Editor/author/co-author of 3 books and around 100 papers. Member, Editorial Board of IET (Institution of Engineering and Technology) Intelligent Transport Systems since 2007. Previously, Program Manager at the Dutch Institute of Advanced Logistics, The Netherlands (2011-2015), and Visiting Professor at the National Laboratory for Automotive Safety and Energy, Tsinghua University, P.R. China (2009-2010). Active involvement in European research and innovation projects since 2005 in the domains of (C-)ITS, logistics, and energy, as Coordinator, WP Leader and/or Partner. Involved for The Netherlands in ISO/TC 204 and CEN since 2016. Contribution to standardization activities of IEEE, TISA and 5G PPP.
1. C-ITS (Cooperative ITS)
2. V2X Communication
3. Traffic Signal Control and Management
4. Digital Infrastructure Supported Automated Driving
Nanning Zheng graduated from the Department of Electrical Engineering of Xi�an Jiaotong University (XJTU), Xi�an, China in 1975, and received the M.S. degree in Information and Control Engineering from XJTU in 1981 and Ph.D. degree in Electrical Engineering from Keio University, Yokohama, Japan in 1985. He is currently a professor in the Institute of Artificial Intelligence and Robotics, XJTU. He is a member of Chinese Academy of Engineering (1999) and IEEE Fellow (2005). Dr. Zheng received several awards, including the Second Prize for National Technological Invention Award, the Second Prize for National Science and Technology Progress Award, and the Prize for Science and Technology Progress of Ho Leung Ho Lee Foundation. Dr. Zheng is the Chinese representative on the Governing Board of the International Association for Pattern Recognition, a member of the Experts Advisory Committee of the Microsoft Asia Research Institute, the President of Chinese Association of Automation from 2013, the leader of Steering Group of Experts of one Major Research Plan of the National Natural Science Foundation of China, and the director of the Advisory Committee of Experts of one National Science and Technology Major Project from 2011. He was the President of XJTU from 2003 to 2014.
1. Pattern Recognition
2. Computer Vision
3. Image Processing
4. Intelligent Systems
Nikos Papanikolopoulos, an IEEE Fellow, received his Ph.D. in electrical and computer engineering from Carnegie Mellon University, in 1992. Currently, Papanikolopoulos is a Distinguished McKnight University Professor in the Department of Computer Science at the University of Minnesota and director of the Center for Distributed Robotics and SECTTRA. He has authored or coauthored more than 350 journal and conference papers in the above areas, including 70 refereed journal papers.
1. Computer Vision
2. Intelligent Transportation Systems
3. Autonomous Vehicles
Rajesh Rajamani obtained his M.S. and Ph.D. degrees from the University of California at Berkeley in 1991 and 1993 respectively and his B.Tech degree from the Indian Institute of Technology at Madras in 1989. He is currently the Benjamin Y.H. Liu-TSI Endowed Chair Professor at the University of Minnesota and Associate Director (Research) of the Minnesota Robotics Institute.
Dr. Rajamani is the author of Vehicle Dynamics and Control (Springer) which is a popular book that receives more than 400 citations each year. He has co-authored over 275 refereed papers and is a co-inventor on 17 patents/ patent applications. Dr. Rajamani is a Fellow of ASME and has been a recipient of the CAREER award from the National Science Foundation, the Ralph Teetor Award from SAE, the O. Hugo Schuck Award from the American Automatic Control Council, and a number of best paper awards from journals and conferences. Several inventions from his laboratory have been commercialized through start-up ventures co-founded by industry executives.
1. Vehicle Dynamics and Control
2. Filtering, Estimation and Fault Diagnostics
3. Sensors for ITS Applications
4. Vulnerable Road Users
Silvia Siri is Associate Professor of Automatic Control at the University of Genova, Italy. She received her Masters and PhD degrees from the University of Genova in 2002 and 2006, respectively. Her research interests deal with modelling, optimization and control of complex dynamical systems, in the area of traffic, logistics and energy systems. She is co-author of more than 120 papers in international journals, international books and international conference proceedings and she is also co-author of a Springer monograph. She has taken part in many editorial activities, as Associate Editor of the IEEE Transactions on Intelligent Transport Systems, Associate Editor of the IEEE Transactions on Automation Science and Engineering and as member of the International Program Committee or Associate Editor of numerous international conferences and events in the area of automatic control, operations research and transportation systems. She is member of some IEEE and IFAC Technical Committees and since 2019 she has been Member of the Board of Governors of the IEEE Intelligent Transportation Systems Society.
For more information, see webpage :
1. Traffic modelling
2. Traffic control
3. Freight operations planning
4. Electric mobility
5. Sustainable mobility
6. Smart cities
Simona Sacone is Associate Professor of Automatic Control at the Department of Informatics, Bioengineering, Robotics and Systems Engineering of the University of Genova where she teaches Systems Theory, Identification and Estimation Techniques, and Optimization and Control of Logistic Systems and where she acts as the coordinator of the PhD Course on Systems Engineering.
She is Associate Editor of the IEEE Control Systems Magazine and of the IEEE Transactions on Intelligent Transportation Systems. She is member of the IFAC Technical Committees 7.4 on Transportation Systems and 1.3 on Discrete Event and Hybrid Systems.
She is one of the authors of the book �Freeway Traffic Modelling and Control�, by A. Ferrara, S. Siri and S. Sacone, in: Advances in Industrial Control, Springer, 2018. She has authored and co-authored more than 150 papers published on international journals, international books and international conference proceedings.
Since 2019 she is member of the Board of Governors of the IEEE Intelligent Transportation Systems Society
1. Traffic Flow Modeling and Control
2. Transportation Networks Modeling and Optimization
3. Ports and Terminals Planning and Control
Yaobin Chen is a Chancellor�s Professor of Electrical and Computer Engineering and Director of Transportation Active Safety Institute (TASI) in the Purdue School of Engineering and Technology at Indiana University�Purdue University Indianapolis (IUPUI). He received his M.S. and PhD degrees from Rensselaer Polytechnic Institute, Troy, New York in 1986 and 1988, respectively and his B.S. degree from Nanjing Institute of Technology, China, in 1982. He is a senior member of IEEE, and a member of SAE and ASEE. He is an author/co-author of over 150 papers published in refereed journals and conference proceedings and a co-editor of a research book in his research field.
1. Advanced vehicle active safety systems;
2. Automated driving and connected vehicles;
3. Naturalist driving data analytics for ITS/IV;
4. Electric and hybrid vehicles.
Dr. Yibing Wang received his Ph.D. degree in Control Theory and Applications from Tsinghua University, China, in 1998. He was a senior researcher with the Dynamic Systems and Simulation Laboratory, Department of Production Engineering and Management, Technical University of Crete, Greece, from 1999 to 2007. He was a Senior Lecturer at the Department of Civil Engineering, Monash University, Australia from 2007 to 2013. He was elected by the Zhejiang QianRen Program in China in 2012, and joined Zhejiang University, China, as a full professor in 2013. His research interests include traffic flow modeling, freeway traffic surveillance, ramp metering, route guidance, urban traffic signal control, vehicular ad hoc networks (VANETs). From 2000 to 2008, he participated in several European projects on freeway traffic surveillance and control, and collaborated with transportation research and practice professionals from Greece, Germany, the U.K., Belgium, Italy, and the Netherlands. In 2012 he was awarded a research grant by the prestigious Discovery program of the Australian Research Council (ARC). Dr. Wang is a member of IEEE, an Associate Editor for the IEEE Transactions on Intelligent Transportation Systems, and an Associate Editor for Transportation Research Part C: Emerging Technologies. He is a member of the Traffic Flow Theory Committee of the Transportation Research Board (TRB) of the US National Academy, a member of the IFAC (International Federation of Automatic Control) Technical Committee on Transportation Systems, and a member of the Advisory Committee of the European Project NEARCTIS (Network of Excellence for Advanced Road Cooperative Traffic management in the Information Society, 2009-2013). He was a Program Co-Chair of the 17th International Conference on Intelligent Transportation Systems (Qingdao, China, 2014), Program Chair of the 13th IEEE International Conference on Intelligent Transportation Systems (Madeira Island, Portugal, 2010), and a vice program chair of the 9th IEEE International Conference on Intelligent Transportation Systems (Toronto, Canada, 2006).
For more information: http://tcrl.zju.edu.cn/news.asp?id=2013-7-8-9-21-86
Contact email: email@example.com
1. traffic flow modeling and control with connected vehicles;
2. freeway traffic surveillance (state estimation and prediction);
3. freeway traffic control (ramp metering, variable speed limit control, lane changing control, route guidance);
4. urban traffic modeling, surveillance and signal control.
Ada Che (M?14) received his B.S. and Ph.D. degrees from Xi?an Jiaotong University, Xi?an, China in 1994 and 1999, respectively. He worked in University of Technology of Troyes, University of Blaise Pascal, and University of Evry Val d?Essonne, France, as a post-doctoral fellow, ATER and visiting professor. He is currently a professor of Operations Management at Northwestern Polytechnical University, Xi?an, China. He is the author or co-author of more than 80 papers in international journals and conference proceedings, such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Naval Research Logistics, IEEE Transactions on Automation Science and Engineering, and European Journal of Operational Research. He is currently AE of Journal of Industrial and Management Optimization. He is the recipient of the only Best Paper Award at 2012 IEEE International Conference on Networking, Control and Sensing. He is in the list of 2014 Elsevier Most Cited Chinese Researchers.
1. Modeling, optimization and control of transportation and logistics systems
2. Bus lanes reservation and optimization
3. Scheduling in robotic transportation systems
4. Applications of evolutionary algorithms in transportation
Albert Y.S. Lam (S’03–M’10–SM’16) received the BEng degree (First Class Honors) in Information Engineering and the PhD degree in Electrical and Electronic Engineering (EEE) from the University of Hong Kong (HKU), Hong Kong, in 2005 and 2010, respectively. He was a postdoctoral scholar at the Department of Electrical Engineering and Computer Sciences of University of California, Berkeley, CA, USA, in 2010–12. He was a research assistant professor at the Department of Computer Science of Hong Kong Baptist University and EEE of HKU in 2012–15 and 21015–17, respectively. Now he is the Chief Scientist and the Chief Technology Officer at Fano Labs, and an adjunct assistant professor at EEE of HKU. He is a Croucher research fellow. He is a member of IEEE’s Intelligent Transportation Systems Society, Computational Intelligence Society, Communications Society, and Power & Energy Society. He has authored/co-authored more than 70 refereed papers.
1. Management of autonomous and connected vehicles
2. Vehicle-to-grid system
3. Smart city
4. Artificial intelligence and evolutionary computation
Alfredo Nunez is an Assistant Professor in the field of Data-based Maintenance for Railway Infrastructure at Department of Engineering Structures, Delft University of Technology in The Netherlands. He received his PhD degree in Electrical Engineering from University of Chile, Santiago, Chile, in 2010. He was a postdoctoral researcher with the Delft Center for Systems and Control. He is a Senior Member of IEEE. He is the author/coauthor of over a hundred international journal papers and international conference papers. He is in the Editorial Board of the journal Applied Soft Computing. His current research interests include the maintenance of railway infrastructures, intelligent conditioning monitoring in railway systems, computational intelligence, big data, risk analysis, and optimization.
1. Railway Engineering
2. Monitoring of Railway Infrastructure
3. Maintenance Operations in Railway Systems
4. Intelligent Transportation Systems
Dr. Ali Hajbabaie is an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering at NC State University. He is primarily associated with the �Transportation Systems� and �Computing and Systems� groups within the Department. He is also an assistant professor in the Operations Research Program at NC State University.
Dr. Hajbabaie was an Assistant Professor at the Civil and Environmental Engineering Department at Washington State University for five years, where he was the founding director of Smart City Lab for Transportation Systems. He received B.Sc. and M.Sc. degrees from Sharif University of Technology, Tehran, Iran in 2003 and 2006, respectively. He also received an M.Sc. degree in industrial engineering and a Ph.D. degree in civil engineering from the University of Illinois at Urbana-Champaign, in 2011 and 2012, respectively.
Dr. Hajbabaie is interested in real-time optimization of large-scale traffic systems. His research is focused on traffic operations and control in the presence of connected human-driven and self-driving cars. Dr. Hajbabaie has served as the Secretary of the Work Zone Traffic Control standing committee of the Transportation Research Board (TRB) of the National Academies of Sciences, Engineering, and Medicine since 2014 and as the Chair of the Asset Management Subcommittee of the Traffic Signal Systems Committee of the TRB.
For more information, please refer to:
University Profile: https://www.ccee.ncsu.edu/people/ahajbab/
Google Scholar: https://scholar.google.com/citations?user=FsmP-asAAAAJ&hl=en&oi=ao
1- Distributed optimization in large-scale traffic systems
2- Connected and automated vehicles
3- Traffic operations and control
Ali Hassan Sodhro
Ali Hassan Sodhro is a Lecturer in the Department of Computer and Systems Sciences, at the Mid Sweden University, �stersund, Sweden. He is the head of research and international collaboration committee at Sukkur IBA University, Sukkur, Sindh, Pakistan. He is also a visiting scientists at Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology (CAS, SIAT) under CAS President�s International Fellowship Initiative (PIFI) 2019/2021 Shenzhen, China. He is an assistant professor in Electrical Engineering Department of Sukkur IBA University (SIBAU), Sukkur, Sindh Pakistan. Moreover, he is a visiting researcher at Department of Computer Science, Electrical and Space Engineering, Lule� University of Technology, Lule�, Sweden.
He was a Lecturer in the in Electrical Engineering Department of Sukkur IBA University (SIBAU), Sukkur, Sindh Pakistan, 2009-2016. He was also a visiting Lecturer at Applied IT department, Gothenburg University (GU), Gothenburg, Sweden. He was a postdoctoral fellow at the Computer and Information Science Department, Link�ping University (LiU), Link�ping, Sweden 2018-2020. Prior to LiU he was an Erasmus Mundus�s postdoctoral researcher at Decision & Information Sciences for Production Systems (DISP) lab, at University Lumiere Lyon2, Lyon, France, under SMARTLINK Project 2017-2018. He completed his Ph.D. in Computer Applications Technology at Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology (CAS, SIAT), 2016. He holds Master�s and Bachelor�s degrees in Communication Systems and Networks (CSN) and Telecommunication Engineering from Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan (2010) and (2008) respectively. His research interests are smart transportation especially Internet of Vehicles (IoVs) for pervasive healthcare, intelligent and energy-efficient communication systems, Internet of Things and 5G networks for smart transportation, smart healthcare and smart medical cities.
1. 5G-enabled Intelligent and Smart Transportation Systems
2. Energy-efficient and Battery-aware smart and pervasive healthcare applications
3. QoS and QoE optimization algorithms, Media Transmission over high speed wireless networks
4. Artificial Intelligence for resource allocation and authentication in next generation networks
Andreas Hegyi is a Professor at Delft University of Technology in the Netherlands. Andreas Hegyi received his M.Sc. degree in Electrical Engineering in 1998 and the Ph.D. in 2004, both from the Delft University of Technology, The Netherlands. From 2004 to 2007 he was a postdoctoral researcher at Delft University of Technology and at Ghent University. He is the author/coauthor of over 100 papers. He is a member of IEEE and IEEE-ITSS, member of IFAC-CTS, and has served as Program Chair of the IEEE-ITSC 2013 conference and as General Chair of the IXth TRISTAN symposium 2016, and IPC member of various other conferences. Dr. Hegyi is Associate Editor of IEEE Transactions on Intelligent Transportation Systems and member of the Editorial Board of Transportation Research Part C.
For more information see webpage:
1. Traffic Flow Modeling and Control
2. Connected and cooperative vehicles
3. Traffic state estimation
4. Traffic data analysis
Anh-Tu Nguyen is an Associate Professor at the INSA Hauts-de-France engineering school, Polytechnic University of Hauts-de-France, Valenciennes, France. He is also a researcher at the laboratory LAMIH-CNRS, UMR 8201, Valenciennes, France.
He was a postdoctoral researcher at the laboratories LAMIH-CNRS, Valenciennes, France (2014-2016) and LS2N-CNRS, Nantes, France (2016- 2018). He completed his Ph.D. in Automatic Control at the University of Valenciennes (2013) in collaboration with Valeo Group. He was a research engineer at the French Institute of Petroleum, Paris, France (2010). He holds
an engineering degree and a Master degree both in Automatic Control from Grenoble Institute of Technology, Grenoble, France (2009). Dr. Nguyen was a visiting researcher at various international institutions: European Center for Soft Computing, Spain (2014), University of Electro-Communications, Japan (2014), Tokyo Institute of Technology, Japan (2015), Beihang University, China (2017, 2019), Shanghai Maritime University, China (2017). His research interests include robust control and estimation, intelligent and fuzzy control systems, human-machine shared control with a strong emphasis on mechatronics applications, in which he has contributed over 60 papers in international journals and conferences. Dr. Nguyen was a recipient of the four-year grant for scientific excellence (PEDR) from the French Ministry of Higher Education, Research and Innovation (2020-2024), the Academic Excellence Scholarship dedicated to exceptional PFIEV students (2007-2009). He serves as a Topic Editor for the international journal Applied Science, and Guest Editor for various journals such as IET Intelligent Transport Systems, IET Control Theory & Applications, SAE International Journal of Connected and Automated Vehicles, Electronics.
For more information, please refer to the webpage: https://sites.google.com/view/anh-tu-nguyen
1. Robust control and estimation, fault detection and diagnosis, fault-tolerant control
2. Vehicle dynamics and control
3. Intelligent and fuzzy control systems
4. Human-machine shared control for mechatronic systems, intelligent vehicles
5. Human-in-the-loop control in ITS
Antonio Bucchiarone is Senior Researcher within the DAS Research Unit at Fondazione Bruno Kessler (FBK) of Trento. His main research interests include: Self-Adaptive (Collective) Systems, Domain Specific Languages for Socio-Technical System, and AI planning techniques for Automatic and Runtime Service Composition. He received a PhD in Computer Science and Engineering from the IMT School for Advanced Studies Lucca in 2008 and since 2004 he has been a collaborator of Formal Methods and Tools Group at ISTI-CNR of Pisa (Italy). Moreover, he has been visiting at Nokia Siemens Networks in Lisbon involved in a research project on Software Architectures for Embedded Systems. He has been actively involved in various European research projects in the field of Self-Adaptive Systems, Smart Mobility, Smart Constructions and Service-Oriented Computing. He was the general chair of the 12th IEEE International Conference on Self-Adaptive and Self Organizing Systems (SASO 2018) and part the Program Committees of various international conferences the field of Self-Adaptative Systems (SASO), Service-Oriented Computing (ICSOC), and Software Architecture (ACM SAC).
1. Smart Mobility
2. Self Adaptive (Collective) Systems
3. Domain Sepcific Languages for Socio-Technical Systems
4. Multi-Agent based modeling simulation
Baris Fidan (M?02, SM?11) is an associate professor at the Mechanical and Mechatronics Engineering Department, University of Waterloo, Canada. He is cross-apponted with the departments of Systems Design Engineering and Electrical and Computer Engineering. He received the B.S. degrees in electrical engineering and mathematics from Middle East Technical University, Turkey in 1996, the M.S. degree in electrical engineering from Bilkent University, Turkey in 1998, and the Ph.D. degree in electrical engineering at the University of Southern California, USA in 2003. He worked at the University of Southern California in 2004 as a postdoctoral research fellow, and at the National ICT Australia and the Research School of Information Sciences and Engineering of the Australian National University in 2005-2009 as researcher/senior researcher. His research interests include control and coordination multi-vehicle systems, sensor networks, cooperative target localization, adaptive and nonlinear control of vehicular systems, cooperative and adaptive system identification, high performance and hypersonic flight control, platooning and cruise control, emergency maneuvering. He has coauthored one textbook, one edited book, one MATLAB toolbox, and more than hundred publications in prestigious refereed journals/ books/ conferences. He has served as an associate editor of 2 journals, and as a program committee member of several conferences.
1. Adaptive Control / Vehicle Control Systems
2. Vehicular Localization and Navigation
3. Target tracking, information fusion, decision and estimation, filtering
4. Intelligent Vehicles and Cooperative Autonomous Driving
Benjamin Seibold is an Associate Professor of Mathematics at Temple University. He received his Dr.rer.nat. from the University of Kaiserslautern, Germany, and was an Instructor at the Massachusetts Institute of Technology. He works in Applied and Computational Mathematics, with a specific focus on traffic modeling and efficient computational methods for flow equations. His research has been funded by the National Science Foundation via DMS Applied Mathematics, DMS Computational Mathematics, and CNS Cyber-Physical Systems, and he is the recipient of the 2013 Greenshields Prize, awarded by the Transportation Research Board.
1. Traffic flow modeling
2. Computational methods
3. Calibration and validation of macroscopic models
4. Autonomous vehicles
Beshah Ayalew is a Professor of Automotive Engineering at the Clemson University-International Center for Automotive Research. He received his MS (2000) and Ph.D. (2005) degrees in Mechanical Engineering from Penn State University. His interest and expertise is in control systems and dynamics with applications in automated and connected vehicle traffic systems and energy systems. Dr. Ayalew received SAE's Ralph R. Teetor Educational Award (2014), the Clemson University Board of Trustees Award for Faculty Excellence (2012), and the NSF CAREER Award (2011). He was a recipient of the Penn State Alumni Association Dissertation Award (2005). He is a Fellow of ASME, and a member of IEEE?s Control Systems Society, and SAE. He has authored/co-authored more than 150 refereed papers.
1. Control and Estimation of Autonomous and Connected Vehicles
2. Traffic Flow Modeling and Control
3. Vehicle Dynamics and Control
Biagio Ciuffo is a Scientific Officer of the European Commission, Joint Research Centre working in the Sustainable Transport Unit of the Institute for Energy and Transport (Ispra, Italy). He received his Masters and PhD from the University of Naples Federico II, Napoli, Italy, in 2004 and 2008 respectively. He is author/co-author of more than 50 papers in peer-reviewed journals and conference proceedings in transportation engineering and acts as reviewer for several international journals and conferences. For his research activities on the calibration of traffic simulation models he was awarded with the 2012 Greenshields Prize from the Transportation Research Board of the US National Academy of Science and with the 2013 Prize of the SimSub Committee of the Transportation Research Board of the US National Academy of Science.
1. Traffic modelling and simulation
2. Emissions from transport
3. Transport policies
4. Management of modeling uncertainties
Bindeshwar Singh received the B. E. degree in electrical engineering from Madan Mohan Malviya Engineering College, Gorakhpur, Uttar Pradesh, India, in 1999, and M. Tech. in electrical engineering (power systems) from the Indian Institute of Technology (IITR), Roorkee, Uttaranchal, India, in 2001. He received the Ph. D. degree in electrical engineering (power system) from Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India, in 2017. Presently, he is an assistant professor (Stage-III) in the department of electrical engineering, Kamla Nehru Institute of Technology, Sultanpur-228118, U. P. India, where he has been since August 2009. His areas of research interest are optimal placement, sizing, and properly coordinated control of DG, Electric Vehicles and FACTS controllers in power systems.
He also serve as Associate Editor Member in International Transaction on Electrical Energy Systems-Wiley Publication-SCIE (2017-2020), Associate Editor Member in IET Circuits, Devices & Systems-SCIE (2017-onwards), Associate Editor Member in Korean Journal of Electrical Engineering and Technology-JEET-SCIE (2017-2019), Associate Editor Member in Engineering Reports-SCIE, Wiley Publication (2019-onwards), Associate Editor Member in Journal of Electrical Engineering & Technology�Springer Publication-SCIE (2019-onwards). Editor Board Member in Electric Power Components & Systems-SCIE-Taylor and Francis Journals (2016-onwards), and Editor Board Member in American Research Journal of Electrical Engineering (2019-onwards).
He also received Best Associate Editor Awards in Journal of Electrical Engineering and Technology (JEET), SCIE, Springer Publication (2019), Gold Medal at Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India, in 2018, Best Paper Award in UPCON 2018 at Madan Mohan Malviya University of Technological, Gorakhpur, India, Outstanding Reviewer Award from International Journal of Electrical Power and Energy System-Elsevier Journal (SCIE), Reviewer Award from Applied Energy-Elsevier Journal (SCIE), etc.
For more information, please refer to the webpage
Institute Profile: https://www.knit.ac.in/ee/employee/Dr. Bindeshwar Singh
Orcid ID: https://orcid.org/0000-0002-5956-8114
Scopus ID: https://scopus.com/Bindeshwar Singh
Mendeley ID: https://Mendeley.com/Bindeshwar Singh
Google Scholar ID: https://scholar.google.co.in/bindeshwar singh
Publons ID: https://publons.com/Bindeshwar Singh
1. Artificial Intelligence and Machine learning Optimization Techniques
2. Smart Cities Operations and Managements
3. Electricity and Transportation Networks Interoperability
4. Multi-Objective Optimizations for Electricity
5. Hybrid Optimization Techniques for Electricity
Changxu (Sean) Wu
Changxu (Sean) Wu received his Ph.D. degree in Industrial and Operational Engineering from the University of Michigan-Ann Arbor (2007). He is currently an Associate Professor of Department of Industrial and System Engineering at the State University of New York (SUNY)-Buffalo, starting from August 2007. Dr. Wu directs the Cognitive System Lab and Center for Healthy Mobility at SUNY, and he is interested in integrating cognitive science and engineering system design, especially modeling human cognition system with its applications in system design, improving transportation safety, promoting human performance in human-machine interaction, and inventing innovative sustainable and smart energy systems with human in the loop. He has published over 90 papers in the field including 56 journal papers, 35 conference papers, 1 book chapter, and 2 patents in intelligent system design authorized. The journal papers include IEEE Transactions on Systems, Man, and Cybernetics (Part A), IEEE Transactions on Intelligent Transportations Systems, Psychological Review, ACM Transactions on Computer-Human Interaction, International Journal of Human-Computer Studies, as well as several other journals. He has served as the Associate Editor for IEEE Transactions on Intelligent Transportations Systems for over 4 years and is the current Chair of Human Performance Modeling Technical Group of Human Factors and Ergonomics Society (HFES) in USA.
1. Human factors in transportation
2. Human performance modeling
3. Driver behavior modeling, driver workload, and drinking and driving
4. Pedestrian behavior and its modeling
Chen Lv is an Assistant Professor at School of Mechanical and Aerospace Engineering, Nanyang Technological University, and the Cluster Director in Future Mobility Solutions at ERI@N, Singapore. He received his PhD degree at Department of Automotive Engineering, Tsinghua University, China in January 2016. He was a joint PhD researcher at EECS Dept., University of California, Berkeley, USA during 2014-2015, and worked as a Research Fellow at Advanced Vehicle Engineering Center, Cranfield
University, UK during 2016-2018. He joined NTU and founded the Automated Driving and Human-Machine System (AutoMan) Research Group since June 2018. His research focuses on automated driving, human-machine system, and intelligent transportation systems, where he has contributed 2 books, 2 book chapters, over 100 papers and obtained 12 granted patents and 1 technology disclosure.
Dr. Lv serves as an Academic Editor/Editorial Board Member for International Journal of Vehicle Autonomous Systems, SAE International Journal of Electrified Vehicles, Frontiers in Mechanical Engineering, etc. and a Guest Editor for IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Industrial Informatics, IEEE Intelligent Transportation Systems Magazine, Applied Energy, IEEE Sensors Journal and etc. He received many awards and honors, selectively including the Highly Commended Paper Award of IMechE UK in 2012, the Japan NSK Outstanding Mechanical Engineering Paper Award in 2014, the China SAE Outstanding Paper Award in 2015, the 1st Class Award of China Automotive Industry Scientific and Technological Invention in 2015, Tsinghua University Graduate Student Academic Rising Star Nomination Award in 2015, Tsinghua University Outstanding Doctoral Thesis Award in 2016, the Seal of Excellence of EU H2020 Marie Sk?odowska-Curie Actions in 2017, the Best Workshop/Special Session Paper Award of IEEE Intelligent Vehicle Symposium in 2018, Automotive Innovation Best Paper Award in 2020, and Winner of the INTERPRET Challenge in NeurIPS 2020 competitions.
1. Automated driving, human-like decision making and control
2. Intelligent transportation systems, cyber-physical systems
3. Connected and autonomous vehicles, game-theoretic decision-making
4. Human-machine systems, human-in-the-loop AI
5. Intelligent electrified vehicles, co-design optimization
Chenglu Wen is an Associate Professor of School of Information Science and Engineering at Xiamen University and Associate Head of the Department of Cognitive Science. She received her Ph. D. degree from China Agricultural University in 2009. From 2007 to 2009, she did joint Ph. D program at Michigan State University. From 2018 to 2019, she is a visiting researcher with Purdue University. She is a senior member of IEEE. She is the author/coauthor over 50 papers. She serves as Associate Editor of IEEE Geoscience and Remote Sensing Letter, and guest editor of Sensors Journal.
1. LIDAR Remote Sensing
2. 3D Point Cloud Processing
3. High Definition Map for Autonomous Driving
4. Multi-sensor Calibration and Fusion
Choon Ki Ahn
Choon Ki Ahn received the B.S. and M.S. degrees in the School of electrical engineering from Korea University, Seoul, Korea, in 2000 and 2002, respectively. He received the Ph.D. degree in the School of electrical engineering and computer science from Seoul National University, Seoul, Korea, in 2006. He is currently a Full Professor with the School of electrical engineering, Korea University, Seoul, Korea. In 2016, he was ranked #1 in Electrical/Electronic Engineering and #2 in entire areas of Engineering among Korean young professors based on paper quality. In 2017, he received the Presidential Young Scientist Award from the President of South Korea. In 2019 and 2020, he received the Research Excellence Award from Korea University (Top 3% Professor of Korea University in Research). He has been on the editorial board of leading international journals, including the IEEE Systems, Man, and Cybernetics Magazine; IEEE Transactions on Neural Networks and Learning Systems; IEEE Transactions on Fuzzy Systems; IEEE Transactions on Systems, Man, and Cybernetics: Systems; IEEE Transactions on Automation Science and Engineering; IEEE Systems Journal; Nonlinear Dynamics; Aerospace Science and Technology; Artificial Intelligence Review; and other top-tier journals. He was the recipient of the Highly Cited Researcher (HCR) Award in Engineering by Web of Science, Clarivate Analytics.
1. Intelligent Control and Estimation for Vehicles
2. Multi-Sensor and Filter Fusion
3. Cyber-Physical Vehicle Systems
4. Connected and Autonomous Vehicles under Cyber Attacks
Christian Claudel is an Assistant Professor of Civil, Architectural and Environmental Engineering at the University of Texas at Austin and the director of the Mobile Automation and Sensing Systems lab. He received his Masters and PhD from University of California Berkeley in 2009 and 2010 respectively and his BSc degree from Ecole Normale Superieure de Lyon in 2004. He is the author/coauthor of over 25 papers and 4 patents.
1. Highway traffic control
2. Highway traffic modeling
4. Unmanned Aerial Vehicles
Christos G. Panayiotou
Christos G. Panayiotou is a Professor with the Electrical and Computer Engineering (ECE) Department at the University of Cyprus (UCY). He is also the Deputy Director of the KIOS Research and Innovation Center of Excellence for which he is also a founding member. He has received a B.Sc. and a Ph.D. degree in Electrical and Computer Engineering from the University of Massachusetts at Amherst, in 1994 and 1999 respectively. He also received an MBA from the Isenberg School of Management, at the aforementioned university in 1999. He is the author/coauthor of more than 200 papers in International Journals and Conferences.
1. Traffic flow modeling, control and simulation
2. Connected vehicles and communication protocols
3. Sensing and fault diagnosis
4. Intelligent logistics
Christos S. Ioakimidis
Christos S. Ioakimidis was born in Thessaloniki, Greece. He is the European Research Area (ERA) Chair Holder and Research Director of the ?Net-Zero Energy efficiency on City Districts? Unit at the Faculty of Engineering, University of Mons (UMONS), Mons, Belgium. He holds a BSc/Dip.Ing in Mechanical Engineering, Greece (1994), a MSc in Mechanical & Aerospace Engineering, USA (1996), a PhD in Mechanical & Chemical Engineering, U.K. (2001) and an MBA in Finacial Eningeering, Greece (2007). Previously has been a Research Professor in various well-known Universities/Research Institutions in Europe (UD-Spain, DUTH- Greece, etc) and USA. Recipient of national, international awards with more than 155 articles in international journals and conferences under peer-reviewed. Has been a researcher at MIT (USA), IST (Portugal), CNR (Italy), GUT (Poland), (HWU, U.K.) etc and visiting professor at AIT (AT), CERTH/ITI (GR) with a research experience (24 years) that includes 42 research projects of total budget of9.5. ME funded by regional, national and international governmental, public and private organizations. His research interests are in the new field of Complex Smart Energy and Transport Systems towards a Sustainable Smart District/City (Cyber Physical System of Systems, CPSoS) covering topics such as: Transport management, transport modeling and policy, sustainable mobility (including e-mobility), demand side management, energy efficiency on houses-buildings, energy and electricity markets, smart grids, energy and transport systems integration and interaction (RES, mRES, EVs, storage), Gamification, serious games, entrepreneurship and SMEs, innovation/green economy.
For more information see webpage:
Contact email: firstname.lastname@example.org
1. Sustainable Mobility (e-mobility, multimodal, bike/scooter/car pooling-sharing, autonomous, etc)
2. Intelligent Transportation Infrastructure and Systems
3. Complex Energy and Transport Business Models with Planning for intelligent interaction of Grid and Vehicles (including e-vehicles)
4. Urban Monitoring, Data and Emissions (i.e., IoT)
Chunxiao (Tricia) Chigan
Chunxiao (Tricia) Chigan is presently an Associate Professor of Electrical and Computer Engineering at University of Massachusetts Lowell. Her research interests include Cyber Security & Information Assurance, Vehicular Ad Hoc Networks, Cognitive Radio Networks & Security, Wireless Ad Hoc and Sensor Networks & Security, and Vehicle-To-Grid (V2G) Communications. Dr. Chigan?s research is sponsored by National Science Foundation (NSF), US Army Communications-Electronics Research Development and Engineering Center (CERDEC), US Army Research Lab (ARL), as well as the Innovation Center of EATON Corp. Prior to joining UMass Lowell in 2012, she was an Associate Professor with the department of Electrical and Computer Engineering at Michigan Tech. She received the PhD degree in Electrical Engineering from the State University of New York, Stony Brook in 2002. Dr. Chigan is a recipient of the National Science Foundation CAREER Award (2007). She is the author/coauthor of over 60 papers.
1. Vehicle-to-Vehicle & Vehicle-to-Infrastructure Communications and Networking
2. Security and Privacy of Vehicular Ad Hoc Networks (VANETs)
3. VANET-enhanced Intelligent Transportation Systems
4. VANET-enabled Information Systems (Data Fusion, Data Mining) and Applications (Smart Driving, Autonomous Driving)
Chunzhao Guo is a Researcher with the Toyota Central R&D Labs., Inc., Japan. Previously, he was an assistant professor at the Toyota Technological Institute. He received his B.S. degree in Control Science and Engineering and Ph.D. degree in Pattern Recognition and Intelligent System from University of Science and Technology of China in 2002 and 2007, respectively. He is a Member of IEEE. He is the author/coauthor of 1 book, 3 book chapters and over 60 papers. He has been awarded many times. in various international conferences and academic activities. He was an Associate Editor/Guest Editor for several journals and conferences.
For more information see webpage:
1. Pattern Recognition and Machine Learning
2. Computer Vision and Sensor Fusion
3. Perception, Decision and Planning
4. Automated Driving and Advanced Driver Assistance Systems
Dan Work is an assistant professor in the Department of Civil and Environmental Engineering, the Department of Electrical and Computer Engineering (courtesy), and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He earned a Bachelor of Science degree (2006) from the Ohio State University, and a Master of Science (2007) and Ph.D. (2010) from the University of California, Berkeley, each in civil engineering. Work was a guest researcher at Microsoft Research, Redmond in 2010 and a visiting researcher at Nokia Research Center, Palo Alto from 2008-2010 prior to joining the faculty at Illinois. Prof. Work?s honors and awards include the CAREER Award from the National Science Foundation (2014) the Faculty Fellow Award from the National Center for Super Computing Applications (2014), and the IEEE Intelligent Transportation Systems Society Best Dissertation Award (2011).
1. Traffic estimation
2. Transportation systems data analytics
3. Traffic flow modeling and control
Dengfeng Sun is an Associate Professor in School of Aeronautics and Astronautics at Purdue University, West Lafayette, Indiana. Before joining Purdue, he was an Associate Scientist with University of California Santa Cruz at NASA Ames Research Center. He received a bachelor's degree in precision instruments and mechanology from Tsinghua University in China, a master's degree in industrial and systems engineering from the Ohio State University, and a PhD degree in civil engineering from University of California at Berkeley. Dr. Sun's research interests include control and optimization of large scale systems and their applications in transportation and aerospace engineering.
1. Distributed control and optimization
2. Air Transportation System
3. Unmanned Aerial Vehicle System
4. Intelligent transportation systems
Denis Fernando Wolf
Denis Fernando Wolf is an Associate Professor in Computer Systems Department at the University of Sao Paulo, where he is the founding director of the Mobile Robotics Laboratory. Professor Wolf received his BSc degree in Computer Science from Federal University of Sao Carlos (Brazil) in 1999 and the PhD degree in Computer Science from the University of Southern California in 2006. His main research interest is the development of robotic systems for field operations. Most of his current work focus on computer vision, sensor fusion and machine learning applied to autonomous robots and vehicles for urban, agricultural and mining applications. He is member of the IEEE ITS society, has co-authored over 100 papers in peer-reviewed journals and conference proceedings, and served as Program Chair of the International Conference on Intelligent Transportation Systems (ITSC) in 2016.
1. Automated Vehicle Operation,
2. Self-Driving Vehicles;
3. Sensing, Vision, and Perception;
4. Sensor Fusion
Dewang Chen (M?06-SM?14) received hi PhD in control theory and control engineering from the Graduate University of the Chinese Academy of Sciences in 2003. He is professor at State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University from Nov 2011 to March 2015. Since April 2015, he is a Minjiang Distinguished Professor in College of Mathematics and Computer Science, Fuzhou University. Since April 2016, he is also a dean of Rail Traffic Research Institute of Fuzhou University. His research interests include train control system, machine learning, computational intelligence and intelligent transportation systems. Dr. Chen was the visiting scholar of University of California, Berkeley in 2009, the recipient of the New Scientific Star in Beijing in 2010 and the Best Paper Award from Beijing Association for Automation and Beijing Association for Science and Technology in 2013, the winner of Young Scientist Award of Zhan Tianyou (Father of Chinese Railway) fund in 2015. He is currently serving as an active reviewer for more than 10 journals, as TPC chair/member for more than 20 conferences. He has published 3 monographs and more than 70 peer-reviewed papers (more than 20 papers are SCI indexed) and chaired over 10 technical sessions or workshops.
For more information, see webpage:
1. Intelligent Train Operation
2. Traffic Flow Modeling and Control
3. GPS Data Processing
4. High-speed Railway
Di Wu is a Professor with the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body at Hunan University, China, and the Founder of ExponentiAI Innovation. He is also the Vice Director of the Key Laboratory for Embedded and Network Computing of Hunan Province, the Director of Data Intelligence and Service Collaboration (DISCO) Lab, and the Director of DJI Innovation Lab at Hunan University. He received his Ph.D. in Computer Science from the University of California, Irvine in 2013 with interdisciplinary research background across Computer Science, Communication Engineering, Transportation Systems, Interaction Design, etc. and now holds the position as an Adjunct Researcher at the University of California Transportation Center. Prior to join Hunan University, he was a Research Staff at the Intel Collaborative Research Institute for Sustainable Connected Cites (ICRI-Cities), and a Research Associate in the Department of Computing at Imperial College London. He also had experiences as a Staff Research Associate at the University of California-Irvine, a Student Research Associate at the Stanford Research Institute, and a Visiting Researcher at IBM Research. His research interests include future networking, intelligent analytics, and smart architecture for transportation systems engineering. Dr. Wu has published more than 60 papers in highly-ranked international journals and conferences, such as IEEE T-ITS, IEEE TII, IEEE TON, IEEE TC, IEEE TMC, IEEE TPDS, IEEE INFOCOM, ACM UbiComp, TRB, etc. He has been serving as associate editor for IEEE Transactions on Intelligent Transportation Systems, guest editor for IEEE Access, active reviewer for more than 10 top-tier international journals, and TPC member for more than 20 well-known international conferences. He is a member of IEEE, ACM and CCF.
1. Future Networking: Crowdsensing, Mobile IoT/V2X, and 5G Communications
2. Intelligent Analytics: Temporal-Spatial Data, Deep Learning, and Real-Time Embedded Systems
3. Smart Architecture: Cyber-Physical-Social Systems, Cloud-Edge-End Computing, and Programmable Cities
Edmond Q. Wu
Edmond Q. Wu is an Associate Professor at the Institute of Aerospace Science & Technology, Shanghai Jiao Tong University, China. He is the funding director of the aviation brain-computer interface lab (A-BICLab). He is also a Research Professor in Science and Technology on Avionics Integration Laboratory, China National Aeronautical Radio Electronics Research Institute, Shanghai, China.
Prior to SJTU, He was a postdoctoral scholar at the The Hong Kong Polytechnic University, 2010-2013. He received the Ph.D. degree in Control theory and application from Southeast University (2009). His research interests include brain science in flight and driving, cognitive modelling and physiology in flight and driving.
For more information, please refer to the webpage
Contact: email@example.com, firstname.lastname@example.org
1. Aviation brain-computer interface
2. Human Factors in flight and driving
3. Brain cognitive science in flight and driving
4. Non-parametric statistical machine learning
5. Workload detection through functional near-infrared spectroscopy
Eleni I. Vlahogianni
Eleni I. Vlahogianni is an Associate Professor Eleni I. Vlahogianni is an Assistant Professor at the Department of Transportation Planning and Engineering of the National Technical University of Athens (NTUA). She holds a diploma in Civil Engineering (2002) and a Ph.D. from NTUA, Greece (specializing in Traffic Operations) (2006). She was a Visiting Scholar at the Institute of Transportation Studies of the University of California, Berkeley (US) (2007). Her primary research field is traffic flow analysis and forecasting. Other research fields include mobility modeling, driving analytics, ICT applications to transportation, Intelligent Transportation Systems, traffic management, advanced technologies for monitoring transportation infrastructures. Her professional and research experience includes 30 projects and 16 consultancies, in a national and European level focusing on urban mobility and traffic flow management, public transport and traffic safety. Moreover, she is an author of 70 articles in international peer reviewed journals, 7 book chapters and 90 publications in international conference proceedings with over 3800 citations (h-index 28). She is Associate Editor in the Transportation Research Part C: Emerging Technologies, the International Journal of Transportation Science and Technology, and the IEEE Intelligent Transportation Systems Magazine. She serves as a Member of the International Committee on Artificial Intelligence and Advanced Computing Applications of the Transportation Research Board. She is Chair of the IEEE ITSS Technical Committee on Smart Mobility and Transportation 5.0. She has been elected in the Board of Governors of the IEEE ITS Society (Term end December 31, 2021).
1. Traffic Flow Modeling and Short-Term Forecasting
2. Intelligent Transportation Systems and Smart Mobility
3. Transport Operations
4. Data Science and Artificial Intelligence Applications
Enrique Herrera-Viedma is a Professor of Computer Science and AI with the Department of Computer Science and Artificial Intelligence, University of Granada and currently he is the new Vice-President for Research and Knowledge Transfer. He also is the new Vice-President for Publications in IEEE SMC Society. Around 40 of his papers are classed as Highly Cited Papers in Web of Science as well as he has been identified in the list of Highly Cited Researchers published in 2015, 2016,2017, and 2018 by Clarivate Analytics in both categories Engineering and Computer Science. His h-index is 65 according to the Web of Science with more than 18.000 citations. Dr. Herrera-Viedma is an Associate Editor of core JCR journals such as the IEEE Trans. on Syst. Man and Cyb.: Systems, IEEE. Trans. on Fuzzy Systems, Knowledge Based Systems, Soft Computing, Fuzzy Optimization and Decision Making, Applied Soft Computing, Journal of Intelligent and Fuzzy Systems, Engineering Applications of Artificial Intelligence, and Information Sciences. He is the author/coauthor of two edited books and over 250 papers in international journals.
1. Decision support systems
2. Information systems in transportation
3. Fuzzy tools applied in transportation
4. Web technologies in Transportation
Evangelos I. Kaisar
Evangelos I. Kaisar is an Associate Professor & Director at Multimodal Intelligent Transportation Laboratory Systems and Director of Geomatics and Transportation Engineering Program at Florida Atlantic University. He received his Masters and Ph. D from University of Maryland at college park. He is a member of ASCE, ITE, ITS and INORMS. He is the author/co-author of 2 book chapters and over 100 refereed publications.
1. Logistics and Transportation System Design
2. Mathematical and Large Scale Simulation Modelling
3. Transportation Systems Security and Efficiency
4. Intelligent Transportation Systems
Fawzi Nashashibi, 50 years, is a Research Director, head of RITS Team at INRIA (Paris) since 2010. He has been senior researcher and Program Manager in the robotics center of Mines ParisTech since 1994. He was previously a technical manager at Light Co. (Virtual/Augmented Reality) for multimedia applications and movie making (post-production). Fawzi Nashashibi obtained a Master?s Degree in Automation, Industrial Engineering and Signal Processing (LAAS/CNRS) in 1989, a PhD in Robotics from Toulouse University prepared in (LAAS/CNRS) laboratory in 1993, and a HDR Diploma (Accreditation for research supervision) from University of Pierre et Marie Curie (Paris 6) in 2005. He played key roles in more than 50 European and national French some of which he has coordinated. He is also involved in numerous collaborations with French and international academics and industrial partners worldwide and he is also involved in several international Chairs. He is author of more than 150 publications and patents in the field of ITS and ADAS systems. From 1994 to 2016 he was the thesis director and supervisor of 30 PhD theses, and he was a PhD and HDR jury member of 57 PhD theses and HDR committees. He was also member of several laboratories evaluation committees and helped in the evaluation of French and European research projects. Since 1994 he is also a lecturer in several universities in Paris (Mines ParisTech, Paris 8 Saint-Denis, Telecom Sud Paris, INT Evry, ?) in the fields of image and signal processing, 3D perception, 3D infographics. IEEE fellow, he is also member of the IEEE ITS and Robotics & Automation Societies. He is an Associate Editor of several IEEE international conferences and member of the TRB AHB30 committee dedicated to Vehicle-Highway Automation. Since December 2015 Fawzi Nashashibi was the co-founder of AutoKAB.
For more information see webpage:
1. Autonomous vehicle navigation, perception and control
2. Cooperative driving
3. Multi-sensor fusion
4. Localization and mapping
Feng Chu is a Professor of Operations Research at the University of Evry Val d'Essonne, France and Co-leader of the Algorithmic, Operations Research, Bioinformatics et Statistical learning group of the Computing, Integrative Biology and Complex Systems Laboratory. She received her B.S. degree in Electrical Engineering from Hefei University of Technology, China in 1986, her Masters in Automation from Lorraine National Polytechnic Institute, France in 1991, her PhD in Computer Science from the University of Metz, France in 1995 and her Research Advisor Qualification (HDR) in Industrial Engineering from the University of Technology of Compi�gne, France in 2006. She is awarded by the French Ministry of Education for her Doctoral Supervision and Research Activities (PEDR) since 2005. She was selected for Foreign Hundred Talents Program of Anhui province in 2013 and is Chair Professor of Huangshan Scholars at Hefei University of Technology since 2013. She is currently serving as an Associate Editor for IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. She is an IPC member for over 40 international conferences. She is the author/coauthor over 150 papers.
1. Operations Research
2. Transportation and Logistics
3. Transportation Planning and Scheduling
Fengzhong Qu is an Associate Professor of Marine Information Science and Engineering at Zhejiang University, China. He received his PhD from University of Florida in 2009 and Masters and BSc degrees from Zhejiang University in 2005 and 2002 respectively. He is a senior member of IEEE and the author/coauthor of a book and over 40 papers.
1. V2V/V2I Communications
2. V2V/V2I Networks
3. Traffic Control
4. Traffic System Modeling
Ge Guo (M’09, SM’14), received the B.S. degree and the PhD degree from Northeastern University, Shenyang, China, in 1994 and 1998, respectively. In 1999 he joined Lanzhou University of Technology, Lanzhou, China, where he was the Director of the Institute of Intelligent Control and Robots and a Professor from July 2004 to May 2005. He then worked in Dalian Maritime University, China, as a Professor with the Department of Automation. He is now a Full Professor and head of the Research Center of Intelligent Transportation Systems, Northeastern University, China. Dr. Guo is the Managing Editor of International Journal of Systems, Control and Communications and an Associate Editor of several journals like Information Sciences, IEEE Intelligent Transportation Systems Magazine, and ACTA Automatica Sinica. He was an Outstanding Reviewer of several journals like Annual Reviews in Control, Journal of Franklin Institute, ISA Transactions, Asian Journal of Control. He was a New Century Excellent Talents in University, Ministry of Education, a Gansu Province’s Top Ten Excellent Youths, the CAA Young Scientist Award receiver, Dalian Leading Talent and Qian Jiang Scholar Professor of Zhejiang, China. He has published over 100 international journal papers and 3 monographs and was invited as Plenary Speakers in a variety of conferences. He has been serving as a project manager, PI/Co-PI and key technical contributor for many research projects in his research area. Currently, he is the PI of a State Key Project on Operation Optimization of Mobility on Demand Systems with Connected and Shared Vehicles.
1. Car-sharing and mobility systems
2. Connected vehicles and platooning
3. Travel demand and traffic prediction
4. Transportation cyber-physical systems
Gerald Ostermayer is a Professor of Communications Engineering at University of Applied Sciences Upper Austria, Head of the Research Group networks & mobility, and Head of the degree program Automotive Computing. He received his Dipl.-Ing. and Dr. degrees from University of Technology Vienna 1992 and 1998 respectively. He worked for Siemens as a Project Manager and has been with the University of Applied Sciences Upper Austria since 2005. He is a member of IEEE. He is the author/coauthor of some 70 Journal and conference papers in the fields of connected vehicles, mobile communications, and wireless sensing, and holds 7 patents.
1. Algorithms to Increase Traffic Flow
2. Traffic Simulations and Simulators
3. Applications (services) based on V2X communications
4. Modeling of Human Driving Behavior
Dr. Guojie Song is an Associate Professor in the Department of Machine Intelligence of Peking University. He completed his Ph.D. degree in EECS of Peking University (2004). He is the vice director of the Intelligent Transportation System (ITS) of Peking University. He served as the associate editor of two well-known international journals including IEEE Transaction on Big Data and Expert Systems with Applications, the industry track chair of AIED 2017, and the senior program committee member of several top conferences including WWW(2020, 2021, SPC), IJCAI(2020, 2021, SPC) and CIKM(2019, SPC), etc.
He has published over 100 papers (including about 60 CCF A/B papers), been authorized ten national invention patents, and led the writing of one monograph in the field of ITS. Two papers have been nominated as the Best Research paper Award, i.e. CIKM2019 and ADMA2020. One paper published in T-ITS has been selected as ESI paper with top citation in past six years in T-ITS journal. He led more than 20 scientific research programs, including the National Natural Science Foundation of China and the National Key Research and Development Project, etc. His research outcomes have been applied the national highway dispatching and command system. Dr. Song�s research interests are data mining, machine learning, and intelligent transportation system.
For more information, please refer to the webpage
University Profile: http://www.cis.pku.edu.cn/info/1084/1260.htm
Personal Website: https://www.gjsong-pku.cn/
Google Scholar: https://scholar.google.com/citations?hl=zh-CN&user=a832IIMAAAAJ#
1. Data Mining, Machine Learning algorithms and models
2. Graph representation learning, Graph Neural Networks
3. Intelligent Transportation System
Guoqiang Mao joined the University of Technology Sydney in February 2014 as Professor of Wireless Networking and Director of Center for Real-time Information Networks. Before that, he was with the School of Electrical and Information Engineering, the University of Sydney. He has published 3 books and over 200 papers in international conferences and journals, which have been cited more than 5500 times. He is a Fellow of IEEE and IET.
1. Traffic Flow Modeling and Control
2. Vehicular Networks
3. Advanced Sensing and Communications for ITS
4. Localization, Navigation and Routing
Guoyuan Wu is an Associate Researcher at Bourns College of Engineering � Center for Environmental Research & Technology (CE�CERT) and an Associate Adjunct Professor with the Department of Electrical & Computer Engineering (ECE) in the University of California at Riverside (UC Riverside). He is also a part-time lecturer in the Department of Civil Engineering, Cal Poly Pomona. Currently, Dr. Wu is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the Vehicle-Highway Automation Standing Committee (ACP30) of the Transportation Research Board (TRB).
Dr. Guoyuan Wu received his Ph.D. degree in Mechanical Engineering from UC Berkeley in 2010, while he had also been employed as a graduate student researcher at the California Partners for Advanced Transportation Technology (PATH). After the graduation, he was appointed as the Postdoctoral Fellow (2010 � 2012) and Assistant Research Faculty at CE-CERT, UC Riverside (2012 � 2018), respectively. His research focuses on the development and evaluation of sustainable and intelligent transportation systems (SITS), optimization and control of transportation systems (from powertrain, vehicle dynamics, to traffic flows), traffic flow modeling and simulation, and vehicle emissions and powertrain modeling.
For more information, please refer to the webpage: https://profiles.ucr.edu/app/home/profile/guoyuanw
LinkedIn: include if available Contact: email@example.com
1. Development, Deployment and Analysis of Sustainable and Intelligent Transportation Systems
2. Connected and Automated Vehicles Applications
3. Transportation Electrification
4. Mobility-as-a-Service (MaaS)
5. Active Transportation
Hai L. Vu is a Professor of Transport Engineering (Intelligent Transport Systems, ITS) in the Monash Institute of Transport Studies at Monash University, Australia. He received the B.Sc./M.Sc. and Ph.D. degrees in electrical engineering from the Technical University of Budapest, Hungary, in 1994 and 1999, respectively. After five years at the University of Melbourne, and eleven years at Swinburne University of Technology, he joined the Engineering Faculty, Monash University (Melbourne, Australia) in 2016 to lead the Intelligent Transport Systems (ITS) research in the Civil Engineering Department. He is a recipient of the 2012 prestigious research awards, the Australian Research Council (ARC) Future Fellowship as well as the Victoria Fellowship Award, and the 2019 ITS Australia National Research Award for his research and contributions in ITS. Prof. Vu has authored or coauthored over 180 scientific journals and conference papers where his research interests include modelling, performance analysis and design of complex networks, stochastic optimization and control with applications to connected autonomous vehicles and intelligent transportation.
1. V2X communications and connected networks for ITS applications
2. Connected autonomous vehicles (CAVs): deployment, operation and management
3. Integrated network management (and control) of transportation networks
4. Network modelling and travel demand management (TDM) for multimodal transportation networks
Hairong Dong is currently a Professor with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University. She received the Ph.D. degree in general and fundamental mechanics from Peking University, Beijing, China, in 2002. She was a Visiting Scholar with the University of Southampton, Southampton, U.K., in 2006; the University of Hong Kong, Pokfulam, Hong Kong, in 2008; the City University of Hong Kong, Kowloon, Hong Kong, in 2009; and the Hong Kong Polytechnic University, Kowloon, in 2010, KTH Royal Institute of Technology, Sweden, in 2011, as well as University of Birmingham, UK, in 2013, and so on. Prof. Dong is an Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Transportation Systems Magazine, and Acta Automatica Sinica, and is a Senior Member of IEEE, the co-chair of Technical Committee on Railroad Systems and Applications, and the Vice General-Secretary of Chinese Automation Association.
For additional Information see webpage: http://eaie.bjtu.edu.cn/english/view.php?tid=1106&cid=25
1. Automatic train operation and its related control theories
2. Pedestrian dynamic analysis
3. Driver assistance system and energy-saving optimization
4. Complex transportation system
Dr. Hamid Khayyam is a Senior Lecturer in the Department of Mechanical and Automotive Engineering, School of Engineering at the RMIT University, Australia. He received the B.Sc. degree (Hons.) from the University of Isfahan, the M.Sc. degree from the Iran University of Science and Technology, and the Ph.D. degree in mechanical engineering from Deakin University, Australia. He has worked in automation and energy productivity in various industrial companies for more than ten years. In his previous position, he was leading the efforts on modelling,
control and optimization of energy systems in the carbon fiber production line at Carbon Nexus, Deakin University. Dr. Khayyam�s research is focused on instituting new technologies to develop distinctive approaches for the integration of intelligent control and energy systems into transportation systems. He is an academic member of Intelligent Automation Research Group at RMIT University. Dr. Khayyam is a Senior Member of IEEE and actively involved in Power and Energy and Intelligent Transportation Systems Societies.
For more information, please refer to the webpage
University Profile: https://www.rmit.edu.au/contact/staff-contacts/academic-staff/k/khayyam-dr-hamid Research Lab: https://www.rmit.edu.au/about/schools-colleges/engineering/research/research- groups/intelligent-automation-research-group
Contact: firstname.lastname@example.org or email@example.com
1. Limited and Big Data Modelling, Control and Optimization of Complex Engineering Systems.
2. Artificial Intelligence and Machine Learning.
3. Connected and Autonomous Vehicles (Ground, Air) and Autonomous Robots.
4. Intelligent Transportation Systems, Power and Energy Systems
Hans van Lint
Hans van Lint is Antonie van Leeuwenhoek Professor of Traffic Simulation & Computing at Delft University of Technology (DUT) and Director of the Delft Integrated Traffic and Travel Laboratory (DiTTLAB.org). He received his Masters and PhD from DUT in 1997 and 2004 respectively. He is member of IEEE, two standing TRB committees, and involved in many international projects and collaborations. His research focus is on the interface between traffic flow theory & simulation and advanced data assimilation techniques. Within DiTTLAB, van Lint works on techniques to make (big) data available for traffic research and on open-source traffic simulation tools (opentrafficsim.org). He is the author/coauthor of over 150 papers to peer reviewed journals and conferences and has (co)promoted 8 PhDs thus far.
1. Traffic flow modeling and simulation
2. Traffic state estimation & prediction
3. Data assimilation
4. AI applied to transportation problems
Hilmi Berk Celikoglu
Hilmi Berk Celikoglu is a full Professor specialized in Traffic Flow Theories and Transportation Network Modeling at the Technical University of Istanbul (ITU) Department of Civil Engineering and the coordinator of the Working Group on Transportation at ITU since 2014. He received B.Sc. (2000), M.Sc. (2002), and Ph.D. (2006) degrees from ITU, where he has been with since 2002. He was a Visiting Professor at PennState Department of Computer Science & Maths, Harrisburg between 2014-2015. Dr. Celikoglu has been involved in several national and international scientific and technical projects in addition to his ongoing research on dynamic network management, transportation network modeling and optimization, traffic flow control and simulation, ITS, and railway engineering on which he has been teaching and has authored over 50 papers in peer-reviewed journals, book chapters, and conference proceedings. Dr. Celikoglu has co-organized special sessions for IEEE ITSC series, for which he has been an Associate Editor since 2011. He has served as the Workshops & Tutorial Chair of ITSC2015, the Publications Co-Chair of the ITSC2016, and the General Chair of the 19th EURO Working Group on Transportation Meeting 2016. He is the Workshops & Tutorial Chair of the 21st IEEE ITSC2018. He has been on the editorial board of the Transportation Research Part C: Emerging Technologies and the IEEE ITS Podcast, and is an Associate Editor for the IEEE Transactions on ITS and IEEE ITS Magazine. He has contributed as a Guest Editor to special issues at journals IEEE ITS Magazine, Transportation Research Part C: Emerging Technologies, and Accident Analysis & Prevention.
1. Dynamic Network Modeling and Optimization
2. Traffic Flow Modeling and Control
3. Transportation Network Planning and Design
4. Rail Traffic Control and Management
Ho Gi Jung
Ho Gi Jung is an Associate Professor of the Major of Information and Communications Engineering, Korea National University of Transportation. He received the B.E., M.E., and Ph.D. degrees in electronic engineering from Yonsei University, Seoul, South Korea, in 1995, 1997, and 2008, respectively. He was with the MANDO Corporation Global R&D H.Q. from 1997 to April 2009, where he developed environmental recognition systems for various driver assistant systems. From May 2009 to February 2011, he was with Yonsei University as a Full-Time Researcher and Research Professor. From March 2011 to July 2016, he was with Hanyang University, Seoul, South Korea, as an Assistant Professor. Since August 2016, he has been with Korea National University of Transportation. He is working on recognition systems for intelligent vehicles. His research interests include recognition systems for intelligent vehicles, next-generation vehicles, computer vision applications, and pattern recognition applications. Dr. Jung is an Associate Editor for the IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Intelligent Vehicles.
1. Computer Vision
2. Sensor Fusion-based Localization
3. Parking Assistant System
4. Image Processing and Pattern Recognition
Hoda Eldardiry is an Associate Professor of Computer Science at Virginia Tech and Director of the Machine Learning Laboratory. She received her Masters and PhD from Purdue University in 2006 and 2012 respectively and her BSc degree from Alexandria University Egypt in 2003. She is a Purdue University Distinguished Science Alumni (DSA) and a member of IEEE, IEEE Computer Society, AAAI, ACM, and SIAM. She is the inventor / coinventor on 18 patents and author/coauthor of over 35 papers
1. Artificial Intelligence
2. Machine Learning
3. Data Mining
4. Deep Learning
Dr. Hongbo Jiang is currently a Distinguished Professor and Vice Dean of the College of Computer Science and Electronic Engineering (CSEE), Hunan University. He is also the deputy director for the trusted systems and networking key laboratory of Hunan Province, the director of Hunan international technical cooperation base of high performance computing and applications. Prior to Hunan University, he was a tenured professor at Huazhong University of Science and Technology. He received his Ph.D. in Computer Science from Department of Electrical Engineering and Computer Science, Case Western Reserve University. He ever interned at IBM T. J. Watson Research Center, as well as AT&T Labs Research. He was a Hong Kong Scholar Research Fellow at The Chinese University of Hong Kong. Dr. Hongbo Jiang has been serving in the editorial board of IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Communications Magazine, ACM/Springer Wireless Networks, Wiley Security and Communication Networks, International Journal of Ad Hoc and Sensor Wireless Networks. He is an elected Fellow of IET (The Institution of Engineering and Technology), Fellow of BCS (The British Computer Society), Senior Member of ACM, Senior Member of IEEE, Distinguished Member of CCF, and Full Member of IFIP TC6 WG6.2.
1. Mobile Networks and IoT
2. Data Privacy and Analysis for Intelligent Transportation Systems
3. Vehicular Localization and Navigation
4. Edge Computing
Prof. Honghao Gao is currently with the School of Computer Engineering and Science, Shanghai University, China. He is also a Professor at Gachon University, South Korea. Prior to that, he was a Research Fellow with the Software Engineering Information Technology Institute of Central Michigan University (CMU), USA, and was also an Adjunct Professor at Hangzhou Dianzi University, China. He received the Ph.D. degree in Computer Science and started his academic career at Shanghai University in 2012. Prof. Gao is a Fellow of IET, BCS, and EAI, and a Senior Member of IEEE, CCF, and CAAI. He is the Editor-in-Chief for International Journal of Intelligent Internet of Things Computing(IJIITC), Editor for Wireless Network(WINE) and IET Wireless Sensor Systems(IET WSS), and Associate Editor for IET
Software, International Journal of Communication Systems(IJCS), Journal of Internet Technology(JIT), and Journal of Medical Imaging and Health Informatics(JMIHI). Moreover, he has broad working experiences in industry-university-research cooperation. He is a European Union Institutions appoint external expert for reviewing and monitoring EU Project, is a member of the EPSRC Peer Review Associate College for UK Research and Innovation in the UK, and is also a founding member of IEEE Computer Society Smart Manufacturing Standards Committee
1. Industrial IoT/Wireless Networks for Transportation System
2. Software Formal Verification and Testing for ITS Software
3. Service Collaborative Computing for Vehicle System
4. Artificial Intelligence and Machine Learning for Vehicle Visual
Horng Lee is a Professor of Transportation Engineering at the National University of Singapore (NUS) and Director of Transport Research Centre jointly established by NUS and Singapore Land Transport Authority (LTA). He received his PhD from University of Illinois at Chicago in 1996. He was an Honoree of 2002 TR100 Award (now known as TR35) by MIT's Technology Review. He is a Fellow of Institutions of Engineers Singapore (IES) and the inaugural batch of Chartered Engineer (CEng) of transportation engineering. He is the author/coauthor of over 350 papers. A transportation engineer by training, Professor Lee has been recognized not only by academics but also well received by government agencies and transportation industry as a thought leader. Professor Lee has been extensively quoted and frequently interviewed by local and international media (including Channel NewsAsia (CNA), MediaCorp, Phoenix Satellite TV, CCTV, Xinhua Press, Reuters, BBC, CNN, NHK, ANN (Japan), KBS, Ch8-Korea, etc.) with 400 over newspaper quotations and 100 over TV and radio interviews on annual basis) with his views and proposals on mobility, transportation policies and urban development.
1. Autonomous mobility on-demand
2. High fidelity mobility simulation
3. Freight transportation
4. Taxi operations and dispatching
Hossein Jula is a lecturer at the Department of Electrical Engineering at the California State University of Long Beach. He received his PhD from University of Southern California in 2002, MSc from Tehran University in 1994, and BSc from Sharif University in 1991. He is a senior member of IEEE and IFAC. He is the author/coauthor of three book chapters and over 30 papers. Dr. Jula?s research interests are in the areas of vehicle routing, autonomous vehicles, control of dynamical systems, logistics, optimization, and machine learning.
1. Autonomous Vehicles
2. Vehicle Routing
3. Agile Ports
Houbing Song is an Assistant Professor of Electrical Engineering and Computer Science (EE&CS) and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us) at Embry-Riddle Aeronautical University (ERAU), Daytona Beach, Florida, USA. He is an affiliated researcher with the U.S. Department of Transportation (USDOT)�s Center for Advanced Transportation Mobility (CATM) Tier 1 University Transportation Center.
He was an engineering research associate at the Texas A&M Transportation Institute in 2007. He completed his Ph.D. in Electrical Engineering at the University of Virginia (2012). He holds Master�s degrees in Civil Engineering from University of Texas at El Paso (2006). His research interests are autonomous driving, AI/machine learning-enabled intelligent transportation systems and smart cities, secure and trustworthy transportation cyber-physical systems, AND Advance Aerial Mobility.
1. Autonomous Driving
2. Artificial Intelligence and Machine Learning
3. Cybersecurity and privacy of connected and automated vehicles (CAVs)
4. Advance Aerial Mobility
Houxiang Zhang (IEEE Member 2004-IEEE Senior Member 2012) is a full Professor at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU).
Dr. Zhang received his Ph.D. degree on Mechanical and Electronic Engineering in 2003. From 2004, he worked as Postdoctoral fellow, senior researcher at the Institute of Technical Aspects of Multimodal Systems (TAMS), Department of Informatics, Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, Germany. In Feb. 2011, he finished the Habilitation on Informatics at University of
Hamburg. Dr. Zhang joined the NTNU, Norway in April 2011 where he is a Professor on Mechatronics. From 2011 to 2016, Dr. Zhang also hold a Norwegian national GIFT Professorship on product and system design funded by Norwegian Maritime Centre of Expertise. In 2019, Dr. Zhang has been elected to the member of Norwegian Academy of Technological Sciences.
Dr. Zhang has engaged into two main research areas including control, optimization and AI application especially on autonomous vehicle, and marine automation, digitalization and ship intelligence. He has applied for and coordinated more than 30 projects supported by Norwegian Research Council (NFR), German Research Council (DFG), EU, and industry. In these areas, he has published over 200 journal and conference papers as author or co-author. Dr. Zhang has received four best paper awards, and five finalist awards for best conference paper at International conference on Robotics and Automation.
Recently Dr. Zhang organizes a �Special Issue on Intelligent Transportation Systems in Epidemic Areas� with IEEE Transactions on Intelligent Transportation Systems (https://ad051eeb-2ac9- 4983-9271-c88f64105e50.filesusr.com/ugd/eaf218_5a846d78c6314d6d9259ce3c4d36af5d.pdf)
For more information, please refer to the Dr. Zhang webpage from NTNU:
Include research group website: http://org.ntnu.no/intelligentsystemslab/index.html .
LinkedIn: https://www.linkedin.com/in/houxiang-zhang-580b145/ Contact: firstname.lastname@example.org
1. Control, optimization, and human machine interaction especially on field robotics and autonomous vehicle
2. Artificial intelligence and machine learning
3. Hybrid modelling and co-simulation
4. Marine automation, digitalization and ship intelligence
Hua Huang is a Professor at the School of Computer Science, Beijing Institute of Technology, China. He is also an adjunct professor at the School of Electronics and Information Engineering, Xi?an Jiaotong University, China. He received the BS and PhD degrees from Xi?an Jiaotong University, China, in 1996 and 2006, respectively. He is the author/coauthor of over 80 papers.
For more information see webpage:
1. Image and Video Processing
2. Computer Graphics
Ioannis Papamichail received the Dipl.Ing. degree (with honors) in chemical engineering from the National Technical University of Athens, Athens, Greece, in 1998 and the M.Sc. degree (with distinction) in process systems engineering and the Ph.D. degree in chemical engineering from Imperial College London, London, U.K., in 1999 and 2002, respectively. From 1999 to 2002, he was a Research and Teaching Assistant with the Center for Process Systems Engineering, Imperial College London. From 2003 to 2004, he served his military service in Greece as a Chemical Engineer. From 2004 to 2005, he was an Adjunct Lecturer with the Dynamic Systems and Simulation Laboratory, Department of Production Engineering and Management, Technical University of Crete, Chania, Greece, where he was a Lecturer from 2005 to 2009, an Assistant Professor from 2009 to 2016 and has been an Associate Professor since 2016. In 2010, he was a Visiting Scholar with the University of California, Berkeley, CA, USA. He is the author and a coauthor of several technical papers in scientific journals and conference proceedings. His main research interests include automatic control and optimization theory and applications to traffic and transportation systems. Dr. Papamichail is an Associate Editor for IEEE Transactions on Intelligent Transportation Systems and a Member of the Editorial Advisory Board for Transportation Research Part C: Emerging Technologies. He received the 1998 Eugenidi Foundation Scholarship for Postgraduate Studies and the 2010 Transition to Practice Award from the IEEE Control Systems Society for the development and implementation of ramp metering algorithms, particularly at the Monash Freeway, Melbourne, Australia.
1. Motorway Traffic Control
2. Urban Signal Control
3. Traffic Flow Modelling
4. Public Transport Priority
Jack Haddad is an Assistant Professor of Transportation Engineering with the Civil and Environmental Engineering faculty, the Technion ? Israel Institute of Technology, and the Head of the Technion Sustainable Mobility and Robust Transportation (T-SMART) Laboratory. He received all his degrees B.Sc. (2003), M.Sc. (2006), and Ph.D. (2010) in Transportation Engineering from the Technion. He served as a post-doctoral researcher (2010-2013) at the Urban Transport Systems Laboratory (LUTS), EPFL, Switzerland. In 2008, he was a visiting Ph.D. student at the Delft Center for Systems and Control (DCSC), Delft University of Technology, the Netherlands. Dr. Haddad is a member of the IFAC Technical Committee TC7.4 Transportation Systems, and a member of the Executive Council of the Israeli Association for Automatic Control (IAAC).
1. Traffic flow modeling and control
2. Urban and freeway management
3. Autonomous vehicles
4. Sustainable and green mobility
Javier A. Barria
Javier A. Barria is an Associated Professor (Reader) with the Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering and an affiliated member of the Centre for Transportation Studies at Imperial College London. He received the Ph.D. degree in electrical and electronic engineering and the M.B.A. degree from Imperial College London in 1994 and 1997, respectively. He is a Fellow of the Institution of Engineering and Technology (IET), a Chartered Engineer in the U.K. and a member of the IEEE. He was a British Telecom Research Fellow from 2001 to 2002. He is the author/co-author of over 80 peer reviewed journals, conference proceedings, and technical reports in the research areas of his interest which include the application of distributed algorithms to monitor and solve resource allocation problems in dynamic changing networked environments; on-line anomalous behaviour detection and traffic inference for VANETS, sensor networks and power distribution networks, and the interaction of Electric Vehicles with Information and Communications networks, and Power System networks. He has been a member of the editorial board of The Computer Journal since 2008, and has been a guest editor on the ACM Transaction on Embedded Computing Systems. He is currently a member of various European countries Research Council boards. He has been the joint holder of several European Commission projects (Frameworks 5, 6 and 7) and U.K. Engineering and Physical Sciences Research Council (EPSRC) project contracts, all concerned with aspects of networked systems design, operations and management.
1. On-line monitor and inference of transportation networks micro and macro traffic/behavioural patterns.
2. Streaming data analytics: Intelligent Transportation Systems real time operations.
3. Interactions between networked vehicles and i) Communications/Information networks and ii) Power System networks.
4. Distributed resource allocation for VANETS, sensor networks and Ad hoc networks.
Javier Jesus Sanchez Medina
Javier Jesus Sanchez Medina Prof. Sanchez-Medina's alma Mater is ULPGC, in Spain. His PhD dissertation versed on the use of Genetic Algorithms, Parallel Computing and Cellular Automata based TrafficMicrosimulation to optimize the Traffic Lights Programming within an Urban Traffic Network. His research interests include mainly the application of Machine Learning, Data Mining and Parallel Computingto Intelligent Transportation Systems. He has a wide experience on the development of traffic models and simulation platforms. Javier Sanchez-Medina has been volunteering for several years at many internationalconferences related to Intelligent Transportation, Computer Science, Evolutionary Computation, etc. He is reviewer and international program committee member for some Transportation related IEEE and non-IEEE journals. He is also very active as a volunteer in the ITS Society, including responsibility posts. He has widely published his research with more than 30 international conference articles, more than 20 international journal articles and 3 research book chapters. He has also being keynote speaker at two conferences (ANT2017, SOLI2017) and distinguished lecturer at the IEEE ITSS Tunisian Chapter in November, 2016.
For more information, see webpage:
Contact: email@example.com, firstname.lastname@example.org
1. Artificial Intelligence and Machine Learning
2. Data Mining and Data Stream Mining
3. Traffic Modelling, and Control
Javier del Ser
Javier del Ser (PhD) received his first PhD degree (cum laude) in Electrical Engineering from the University of Navarra (Spain) in 2006, and a second PhD degree (cum laude, extraordinary PhD prize) in Computational Intelligence from the University of Alcala (Spain) in 2013. He is currently a Research Professor in Artificial Intelligence and leading scientist of the OPTIMA (Optimization, Modeling and Analytics) research area at TECNALIA RESEARCH & INNOVATION, Spain. He is also an adjunct professor at the University of the Basque Country (UPV/EHU), an invited research fellow at the Basque Center for Applied Mathematics (BCAM), and a senior AI advisor at the technological startup SHERPA.AI. He is also the coordinator of the Joint Research Lab (http://jrlab.science) between TECNALIA, UPV/EHU and BCAM, and the director of the TECNALIA Chair in Artificial Intelligence implemented at the University of Granada (Spain). His research interests gravitate on the use of Artificial Intelligence methods for data mining and optimization for problems emerging in Intelligent Transportation Systems, Smart Mobility and Logistics, among others. He has published more than 280 scientific articles, co-supervised 10 Ph.D. theses, edited 7 books, co-authored 9 patents and participated/led more than 40 research projects. He is an Associate Editor of tier-one journals from areas related to Data Science Artificial Intelligence, such as Information Fusion, Swarm and Evolutionary Computation and Cognitive Computation, and has served as a Guest Editor in journals from the ITS field such as IEEE Transactions on Intelligent Transportation Systems and IEEE ITS Magazine. He is a Senior Member of the IEEE, and a recipient of the Bizkaia Talent prize for his research career.
1. Machine Learning
2. Artificial Intelligence
3. Traffic Modeling and Optimization
4. Smart Mobility
Jeremy Blum is an Associate Professor of Computer Science at the Pennsylvania State University, Harrisburg. He received his Masters and Doctorate from the George Washington University in 2001 and 2005 respectively and his BA degree from Washington University in St. Louis in 1990. He is the author/coauthor of 38 papers. His paper ?Challenges of Intervehicle Ad Hoc Networks? received Top 10 Research Papers of the Decade Award from the IEEE Transactions on Intelligent Transportation Systems.
1. Statistical Modelling of Transportation Systems
2. Vehicular Communication Networks
3. Combinatorial Optimization Problems in Transportation Systems
Jing Xun (M’12, SM’14), received the B.S. degree and the PhD degree from Beijing Jiaotong University, Beijing, China, in 2004 and 2012, respectively. In 2012 he joined the State Key Laboratory (SKL) of Rail Traffic Control and Safety, Beijing Jiaotong University. He was elevated to an Associate Professor in 2016 and became the Deputy Director of Railway Operation Research Division of SKL in 2018. He has lots of experience on collaborating with international transport experts by joining international projects. From 2008 to 2009, he visited California PATH at UC Berkeley and participate in the USDOT sponsored SafeTrip 21 project. He developed algorithms for a dynamic multimodal traveler information system, which was demonstrated successfully during the 2008 ITS World Congress in New York. In 2012, He participated a joint research project led by Professor Clive Roberts of University of Birmingham. In 2017, he led a project entitled ‘Energy-efficient Automatic Train Operation (ATO)’ supported by a UK government’s Newton Fund. He collaborated with colleagues at University of Leeds and UK FIRST Group and developed speed optimization methods to improve the efficiency of ATO. As an Associate Editor for IEEE ITSC, he managed the peer review process and organized successfully one special session ‘Smart Railway’ on ITSC 2019. He also joined in the organization of several IEEE conferences such as IEEE ICIRT. In 2018, he organized the editing of a book entitled ‘10000 Scientific Problems in Transportation’ supported by the Chinese Ministry of Education. He was in charge of the review of more than 100 articles contributed by hundreds of Chinese scholars in traffic and transportation fields. Moreover, he is an Associate Editor of IEEE Open Journal of Intelligent Transportation Systems. He was a reviewer of several journals like IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C, IEEE Access, IEEE Intelligent Transportation Systems Magazine, ACTA Automatica Sinica, and Journal of the China Railway Society. He has published over 50 papers, 1 whitepaper and 1 monograph. He has been serving as a project manager, PI/Co-PI and key technical contributor for many national-level projects such as the National High-tech R&D Program supported by the Chinese Ministry of Technology, the Major Program supported by National Natural Science Foundation of China.
1. Eco driving, specializing in optimal control
2. Traffic flow theories
3. Advanced train control
4. Public transportation management
5. Data mining and data analyses
Joao P. S. Catalao
Jo�o P. S. Catal�o received the Ph.D. degree and Habilitation for Full Professor ("Agrega��o") from the University of Beira Interior (UBI), Covilha, Portugal, in 2007 and 2013, respectively. Currently, he is a Professor at the Faculty of Engineering of the University of Porto (FEUP), Porto, Portugal, and Research Coordinator at INESC TEC. He was the Primary Coordinator of the EU-funded FP7 project SiNGULAR, a 5.2-million-euro project involving 11 industry partners. He has authored or coauthored more than 800 publications, including 370 journal papers (more than 100 IEEE Transactions/Journal papers), 370 conference proceedings papers, 5 books, 41 book chapters, and 14 technical reports, with an h-index of 62, an i10-index of 290, and over 14800 citations (according to Google Scholar), having supervised more than 85 post-docs, Ph.D. and M.Sc. students. He is the Senior Editor of the IEEE TRANSACTIONS ON SMART GRID, the Promotion and Outreach (Senior) Editor of the IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY, an Editor of the IEEE TRANSACTIONS ON POWER SYSTEMS, an Associate Editor of the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, an Associate Editor of the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, an Associate Editor of the IEEE TRANSACTIONS ON CLOUD COMPUTING, an Associate Editor of the IEEE SYSTEMS JOURNAL, and an Associate Editor of the IEEE ACCESS. He is a Top Scientist in the Guide2Research Ranking, which lists only scientists having h-index equal or greater than 40. Moreover, he has won 4 Best Paper Awards at IEEE Conferences.
For more information, please refer to the webpage: https://web.fe.up.pt/~catalao/ Google Scholar Profile: http://scholar.google.pt/citations?user=bM0wV1sAAAAJ Scopus Author ID: http://www.scopus.com/authid/detail.url?authorId=57204848031 Guide2Research: http://www.guide2research.com/u/joao-p-s-catalao
Contact: email@example.com and firstname.lastname@example.org
1. Sustainable and Green Mobility
2. Electric and Hybrid Electric Vehicles
3. Expert Systems and Intelligent Agents
4. Smart Cities and Smart Grids
John (Hyoshin) Park
John (Hyoshin) Park is an Assistant Professor in the Department of Computational Data Science & Engineering at the North Carolina A&T State University (NCA&T), USA. He is the funding director of the LEarning, Active sensing, Robust optimizatioN (LEARN) Lab. He has been a Visiting Professor at NASA Jet Propulsion Laboratory, California Institute of Technology during summer (2018, 2019, and 2021). He was also a Graduate faculty at University of Massachusetts, Amherst (2017-2018). Prior to NCA&T, he was a postdoctoral scholar at the University of Massachusetts, Amherst (2015- 2016). He completed his Ph.D. in Civil Engineering at University of Maryland (2016).
He was an onsite Contractor at Turner-Fairbank Highway Research Center, FHWA (2014-2015) and a Research Scientist at Yonsei University (2010). He earned industry experience as a Research Scientist at Chungsuk Engineering Co.Ltd (2007-2010). He holds Master's degrees in Urban Planning and Engineering (2007), double majors in B.S. degree in Physics (2005) and Urban Planning and Engineering degree (2005) from Yonsei University.
His research interests are data mining and decision support for smart cities especially through active sensing and learning information in large scale transportation networks with emerging technologies.
For more information, please refer to the webpage https://johnpark.club
1. Emerging Technologies in Transportation Networks
2. Artificial Intelligence enabled Resilient Civil Systems and Emergency Response
3. Human Factors in Automated Driving
4. Connected and Autonomous Vehicle Operation
Jonathan Li is a Professor of Geomatics and Systems Design Engineering at the University of Waterloo, Canada. He received his PhD degree in geomatics engineering from the University of Cape Town in 2000. He is a Professional Engineer (P.Eng.) licensed in Ontario, Canada and a Senior Member of IEEE. He serves as chair of the ISPRS Working Group I/2 on LiDAR, Airborne and Spaceborne Optical Sensing (2016-2020) and chair of the ICA Commission on Sensor-driven Mapping (2015-2019). He also serves as an associate editor for Canadian Journal of Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. He is the author/co-author of 8 books and over 370 research papers in refereed journals and conference proceedings. He is co-inventor of over 10 patents. He received the Outstanding Achievement Award in Mobile Mapping Technology (2019).
1. Remote Sensing in Transportation
2. LiDAR in Transportation Applications
3. Mobile Mapping for Transportation Inventory
4. HD Maps for Autonomous Driving
Jose E. Naranjo
Jose E. Naranjo was born in Orense, Spain, in 1975. He received the B.E., M.E., and Ph.D. degrees in computer engineering from the Technical University of Madrid (UPM), Madrid, Spain, in 1998, 2001, and 2005, respectively. From 1999 to 2007, he was with the Industrial Automation Institute (CSIC), Madrid, in the Autopia Autonomous Driving Group. In 2007, he obtained a position of Associate Professor at the Technical University of Madrid (UPM) and since 2011 he is head of the Unit of Information Technologies in Transport of the University Institute for Automobile Research. He has participated in more than 40 research and innovation projects in the field of Intelligent Transportation Systems and is author of more than 100 papers in relevant scientific journals, national and international conferences, and patents. Prof. Naranjo is Member of IEEE and the IEEE Intelligent Transportation Systems Society, becoming active part of the Society flagship conferences ITSC and IV, as Programme Committee member as well as organizer in IV?2012, ITSC?2013 and ITSC?2015, and Associate Editor of IEEE Transactions on ITS since 2013. Dr. Naranjo has also served as Project Evaluator and Reviewer for the European Commission in the field of ICT for Intelligent Vehicles and Cooperative Systems in VII and H2020 Framework Programme.
For more information see webpage: http://insia-upm.es/research/adas/?lang=en or https://sites.google.com/site/joseeugenionaranjocv/cv
1. Autonomous Vehicles
2. Vehicular Communications
3. Intelligent Control
Jose M. Alvarez
Jose M. Alvarez is a computer vision researcher at NICTA (Australia) working on data-driven methods for large-scale road scene understanding. His areas of interest are focus on data-driven methods for real-time road scene understanding including deep-learning, semantic segmentation and spatio-temporal image sequence analysis. Jose M. Alvarez received his PhD in October 2010 from the Universitat Autonoma de Barcelona, under the supervision of Dr. Antonio M. L�pez and Prof. Theo Gevers, with a thesis entitled ?Combining Context and Appearance for Road Detection?. Subsequently, he worked as a post-doctoral researcher at the Courant Institute of Mathematical Science, New York University, with Professor Yann LeCun. Subsequently, in 2012 he joined NICTA as a computer vision researcher. During his PhD program, he visited the ISLA group at the University of Amsterdam (in 2008 and 2009) under the supervision of Prof. Theo Gevers, and the Group Research Electronics at Volkswagen (in 2010) under the supervision of Dr. Thorsten Graf. Jose M. Alvarez also has several years of industrial experience developing different systems such as an on-board multi-modal acquisition platform, or the Volumeter, a volume measurement system for uncovered loads in vehicles. As a result of his industrial experience he is co-inventor of several patents.
1. Vision-based road scene understanding
2. Deep Learning and Data-Driven algorithms for autonomous driving
3. Semantic Segmentation and Road Detection
4. Multi-modal Real-time algorithms
Dr. Jun Li a Full Professor in the School of Automation, Southeast University, Nanjing, China. He is the director of the Robotics and Intelligent Systems (RiSYS) Lab. From 2008 to 2010, he was a Postdoctoral Fellow with Southeast University. In 2014, he was a Visiting Scholar with the New Jersey Institute of Technology, Newark, NJ, USA. He has been the Principal Investigator of twenty research projects. He has published over 50+ papers on the top journals such as Automatica, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on
Cybernetics and conferences. He holds five patents that received industrial applications. His current research interests include discrete event systems, optimization and scheduling, computer vision, machine learning, autonomous vehicles, and logistics robotics.
Dr. Li has been serving as a peer reviewer of over ten international journals including IEEE T ITS. He was a recipient of the Best Ph.D. Dissertation Award of Southeast University in 2009, the Phoenix Contract-Southeast University Teaching Award in 2011, the Outstanding Young Teacher Foundation Award of Southeast University in 2014, and the Best Paper Award of the 12th IEEE International Conference on Networking, Sensing and Control in 2015. He was selected as a High-Level Talent of the Jiangsu Provincial �Six Talent Peaks� Program in 2016. He was invited to lecture in the IEEE Northern New Jersey Section, National Central University, Academic Annual Meeting of Xiamen Automation Society, and Jiangxi University of Science and Technology. He served as a Program Committee Member of several IEEE conferences and co-host of an international workshop on �Discrete Event System Control and Optimization� in Southeast University.
For more information, please refer to the webpage
University Profile: https://automation.seu.edu.cn/2019/0528/c24504a275194/page.htm LinkedIn: https://www.linkedin.com/in/jun-li-1100b698
1. Discrete Event Systems, Large-Scale Scheduling, and Optimization
2. Computer Vision and Machine Learning
3. Autonomous Vehicles, Logistics Robotics, and Human-Robot Interaction in ITS
Jun Won Choi
Jun Won Choi is an Associate Professor of Department of Electrical Engineering in Hanyang University. He received B.S and M.S. degrees at Seoul National University and Ph. D. degree at University of Illinois at Urbana-Champaign. In 2010, he joined the company Qualcomm (San Diego, USA) where he participated in research on advanced signal processing technology for the next generation wireless communications. Since 2013, he joined Electrical Engineering Department in Hanyang University as a faculty member. His research area includes signal processing, machine learning, wireless communications, intelligent vehicles, etc. He has served as an Associate Editor of IEEE Trans. Vehicular Technology and a guest Editor of IEEE Trans. Intelligent Transportation Systems for special issue: Intelligent Transportation Systems empowered by AI technologies. He is a reviewer of many technical journals including IEEE Trans. Signal Processing, IEEE Trans. Intelligent Transportation Systems, IEEE Trans. Wireless Communications, etc.
1. Machine learning for intelligent vehicle
2. Computer vision
3. Sensor fusion
Trajectory prediction and decision making for autonomous driving
Dr. Ka-Cheong Leung (S�95-M�01-SM�20) is an Associate Professor at the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China. He received the B.Eng. degree in Computer Science from the Hong Kong University of Science and Technology, Hong Kong, in 1994, the M.Sc. degree in Electrical Engineering (Computer Networks) and the Ph.D. degree in Computer Engineering from the University of Southern California, Los Angeles, California, USA, in 1997 and 2000, respectively. He was with Nokia Research Center, Nokia Inc., Irving, Texas, USA from 2001 to 2002, Texas Tech University, Lubbock, Texas, USA, from 2002 to 2005, and the University of Hong Kong, Hong Kong, from 2005 to 2019. He has authored or co-authored over 90 papers in peer-reviewed international journals, book chapters, and conference proceedings. His current research interests include smart grid, vehicle-to-grid (V2G), vehicle platooning, machine learning, future Internet, and wireless communications. Dr. Leung is an Associate Editor of the IEEE Systems Journal and ACM/Springer Wireless Networks. He has also co-guest edited a special issue of the IEEE Transactions on Network Science and Engineering. Furthermore, I am a subarea- chair of the IEEE SIG on Intelligent Internet Edge.
1. Smart Grid and Vehicle-to-Grid
2. Vehicle Platooning
3. Machine learning
4. Future Internet
5. Wireless Communications
Kunfeng Wang is a Professor with the School of Information Science and Technology, Beijing University of Chemical Technology, China. He received his B.E. degree from Beihang University (BUAA) in 2003, and his Ph.D. degree in Control Theory and Control Engineering from the Graduate University of Chinese Academy of Sciences in Beijing, China, in 2008. After that, he joined the Institute of Automation, Chinese Academy of Sciences and became an Associate Professor with The State Key Laboratory for Management and Control of Complex Systems. From December 2015 to January 2017, he was a Visiting Scholar with the School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA. In August 2019, he moved to the College of Information Science and Technology, Beijing University of Chemical Technology, as a Professor. His research interests include intelligent transportation systems, intelligent vision computing, and machine learning. He has published more than 80 papers in peer-reviewed journals and conferences, including Science Robotics, IEEE T-IP, IEEE T-ITS, and IEEE ITSC. He has received 17 China invention patents and one US patent. He is currently serving as an Associate Editor of IEEE T-ITS.
1. Intelligent visual surveillance
2. Driving environment perception
3. Ego-centric vision
4. Pattern recognition and machine learning
Kyongsu Yi received B.S. and M.S. degrees in mechanical engineering from Seoul National University, Korea, in 1985 and 1987, respectively, and a Ph.D. degree in mechanical engineering from the University of California, Berkeley, in 1992. He is currently a Professor at the School of Mechanical and Aerospace Engineering at Seoul National University, Korea and Director of the Future Mobility Technology Center, Seoul National University, Korea. He has been conducting research in the area of vehicle dynamics and control since 1990. He had received several academic awards: BEST PAPER AWARD in 2015 International Symposium on Future Active Safety Technology FAST, Gothenburg, Sweden, 2010 SAE Vincent Bendix Automotive Electronics Engineering Award, 2012 SAE World congress, CEP Best Paper Award in 18th IFAC World Congress, Milan, Italy, 2011.9.2, and Best paper Award in the International Symposium on Advanced Vehicle Control AVEC2008, Japan, 2008. He served as 2011 IEEE ITSC Program Chair, Washington DC, USA, 2011.10.5-7, Vice Chair, 7th IFAC Symposium on Advances in Automotive Control September 4-7, 2013, Tokyo, Japan, Program Chair of IEEE ITSC 2014, Tshingdao, China, and General Chair of IEEE IV Symposium 2015, Seoul, Korea. He is member of SAE, ASME, IEEE, KSME and KSAE. He is the author/coauthor of over 50 papers.
1. Vehicle Dynamics and Control
2. Active Safety and Driver Assistance Systems (ASV, DAS)
3. Autonomous Driving Systems
4. Integratd Chassis Control
Dr. Leila Hajibabai is an Assistant Professor in the Edward P. Fitts
Department of Industrial and Systems Engineering at North Carolina State
University. She was an assistant professor in the Department of Civil
Engineering at the State University of New York at Stony Brook (2017-
2019). Prior to that, she was a faculty at Washington State University. Dr.
Hajibabai has completed her Ph.D. in Civil Engineering, Transportation
Systems, at the University of Illinois at Urbana-Champaign in 2014 and has
received two M.Sc. degrees, one in Industrial Engineering (2013) and the
other in Civil Engineering (2006). Her research interests are in the areas of
systems analytics and optimization, and supply chain logistics. Her research
utilizes operations research to improve the design, performance, and maintenance of complex
transportation systems. Dr. Hajibabai is a member of INFORMS, and TRB�s standing committee
on Maintenance and Fleet Equipment. She is also a member of the Emerging Technologies
subcommittee of TRB�s Transportation Network Modeling standing committee. She is a chair of
the TRB's Young Members subcommittee of Highway Maintenance Section.
For more information, please refer to the following:
University Profile: https://www.ise.ncsu.edu/people/lhajiba/
1. Smart and Resilient City Logistics: Automation and Electric Mobility
2. Large-scale Transportation Network Optimization
3. Transportation Facility Logistics and Operations Management
4. Operations Research
Li Li is an Associate Professor of Department of Automation at Tsinghua University. He received his Masters and PhD from University of Arizona in 2003 and 2005 respectively and his BSc degree from Huazhong University of Science and Technology in 1999. He is a Senior Member of IEEE. He is the first/corresponding author of 4 books, over 50 SCI-Indexed journal papers and over 40 EI-Indexed conference papers. He had won several academic awards, including one best survey paper award in IEEE Tractions on ITS last year. He won the Outstanding Editor Award for IEEE Tractions on ITS in 2010.
For more information see webpage: http://www.au.tsinghua.edu.cn/publish/auen/1713/2011/20110715110243502852024/20110715110243502852024_.html
Contact: email@example.com or firstname.lastname@example.org
1. Traffic Data Analysis, Big Data, Social Transport
2. Traffic Flow Modeling
3. Intelligent Vehicles
4. Driving Behaviors
Dr. Lifeng Wang is a Professor in the Department of Electrical Engineering at the Fudan University, Shanghai, China. He is also a member of adaptive networks and control lab (CAN Lab). He has been served as a Review Editor for the IEEE Communications Letters (2015-2019), and received the Exemplary Editor Certificate (10% p.a.) of the IEEE Communications Letters in 2016, 2017, 2018.
He received the Ph.D degree in electrical engineering from Queen Mary, University of London, London, U.K., in 2015, and the M.S. degree from University of Electronic Science and Technology of China, Chengdu, China, in 2012. He was a Post-doctoral Research Associate at the department of electronic and electrical engineering, University College London (UCL), U.K. until 2019. In 2019, he joined the EE department, Fudan University, Shanghai, China. His current research interests include dynamic programming (reinforcement learning) with/without deep learning, multi-agent system design, control & optimization, and 5G-V2X, particularly vehicle-to-infrastructure (V2I) based platoon control design with Ultra-reliable low-latency (URLLC) communications.
For more information, please feel free to contact me or refer to the webpage
University homepage: http://www.it.fudan.edu.cn/Data/View/2979
Google Scholar: https://scholar.google.com/citations?hl=en&user=SGvwEc0AAAAJ
1. 5G based ITS design
2. Multi-agent systems
3. Dynamic programming/reinforcement learning with/without deep learning
4. ITS meets Internet of Energy (IoE)
5. UAV/drone systems
Dr. Lili Du is an associate professor in the Department of Civil and Coastal Engineering, University of Florida.
She was an assistant and then an associate professor at the Illinois Institute of Technology from 2012-2017. She also worked as a Post-doctoral Research Associate for NEXTRANS, the USDOT Region V Regional University Transportation Center at Purdue University from 2008-2012. Dr. Du completed her Ph.D. degree in Decision Sciences and Engineering Systems with a minor in Operations Research and Statistics from Rensselaer Polytechnic Institute in 2008. She also holds MS degree in Industrial Engineering from Tsinghua University in 2003 and BS degree in Mechanical Engineering from Xi'an Jiaotong University, China in 1998.
Dr. Du's research is characterized by applying operations research, network modeling, statistical and machine learning approaches into transportation system analysis and network modeling. Her current research focuses on CV/AV/CAV network impacts and platooning control, electrical vehicles, resilient civil infrastructure networks, sustainable multimodal transportation systems, mobility as services, and traffic flow analysis
1. Transportation system analysis and network modeling
2. CV/AV/CAV related network modeling and platooning control
3. Electrical vehicle related network modeling
4. Big data analytics for traffic flow analysis
5. AI applications in transportation systems
6. Resilient civil infrastructure networks
7. Mobility as a service
Lingxi Li is an Associate Professor of Electrical and Computer Engineering at Indiana University-Purdue University Indianapolis (IUPUI). He received the B.E. degree in Automation from Tsinghua University, Beijing, China, in 2000; the M.S. degree in Control Theory and Control Engineering from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2003; and the Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, in 2008. Dr. Li?s current research focuses on the modeling, analysis, control, and optimization of complex systems; intelligent transportation systems; intelligent vehicles; active safety systems; and human factors. He has authored/co-authored one book and 100+ research articles in referred journals and conferences, and received two U.S. patents. Dr. Li received multiple awards including conference best paper award, outstanding editorial service award, and university research/teaching award. He is currently serving as associate editor for IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, IEEE/CAA Journal of Automatica Sinica, and Journal of Intelligent and Connected Vehicles.
1. Active Safety Systems
2. Advanced Driver Assistance Systems
3. Traffic Systems Modeling, Control, and Optimization
4. Human Factors
Liuqing Yang is a Professor at the Department of Electrical & Computer Engineering, Colorado State University. She received her M.S. and Ph.D. degrees in electrical and computer engineering from the University of Minnesota in 2002 and 2004, respectively. Her current research interests are in areas of vehicular communications, networks, systems, standards, communications-enabled road and vehicle safety, future telematics applications, and ITS-based services. In particular, she focuses on the confluence of transportation technologies with communications technologies, which integrate interdisciplinary research. She is a Fellow of IEEE, the CPSS Department Editor for IEEE Intelligent Systems, Associate Editor for IEEE Transactions on Intelligent Transportation Systems, a BoG member of the IEEE ITSS, and the Chair of the IEEE ITSS. She has published more than 220 journal and conference papers, 2 book chapters and 1 book
1. Vehicular Communications
2. Intelligent Transportation Systems
3. Communications-enabled Road and Vehicle Safety
4. Networking and Smart Grid
Long Chen is an Associate Professor with School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China. He received the B.Sc. degree in communication engineering and the Ph.D. degree in signal and information processing from Wuhan University, Wuhan, China, in 2007 and in 2013, respectively. From October 2010 to November 2012, he was co-trained PhD Student at National University of Singapore. He received the IEEE Vehicular Technology Society 2018 Best Land Transportation Paper Award. His areas of interest include autonomous driving, robotics, artificial intelligence where he has contributed more than 70 publications. He serves as an Associate Editor for IEEE Technical Committee on Cyber-Physical Systems newsletter, and Guest Editor for IEEE Transactions on Intelligent Vehicles.
1. Autonomous Driving
2. Connected and Automated Vehicles
3. Video/Image Content Understanding
4. Machine Learning
Luis M. Bergasa
Luis M. Bergasa is a Professor in the Electrical Engineering Department at Universidad de Alcal� (Spain) and Director of Technology Transfer in this university since 2014. He was Head of his Department from 2004 to 2010. He received his Ph.D from Universidad de Alcal� in 1999 and his M.S. from Universidad Polit�cnica de Madrid in 1995. His research interests include camera-based sensing and perception for intelligent vehicles and robotics. He has authored or co-authored more than 160 refereed publications in international journals, book chapters, and conference proceedings; as well as 7 national patents and 1 PCT. He has been involved in co-founding Vision Safety Technologies Ltd, a spin-off to commercialize computer vision systems for road infrastructure inspection. He has been recipient or supervisor of 17 prizes related to robotics and automotive fields, 6 of them granted by the IEEE ITS Society. He has been Associate Editor of the IEEE Transactions on Intelligent Transportation Systems (ITS), member of the Editorial Board of International Journal of Vehicular Technology, and has served on Program/Organizing Committees in more than 15 conferences. He has been IEEE member of the RAS and ITS Societies for more than 10 years.
1. Perception for autonomous vehicles
2. Driver behaviors understanding
3. Camera-based sensing for Advanced Driver Assistant Systems
4. Scene Understanding
Mahmoud Mesbah is a Faculty Member at Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic). He has a BSc in Civil Engineering from the University of Tehran, and an MSc in Transportation Planning from Iran University of Science and Technology. He received his PhD from Monash University in 2011. He held academic positions of Lecturer and Senior Lecturer at Group of Eight Universities in Australia before joining AUT. He has published more than 70 papers in scholarly peer reviewed forums.
For more information see webpage:
1. Public Transport Modeling and Operations
2. Travel Survey Methods
3. Transportation Planning
4. Network Optimization
Mark Brackstone is a Senior Project Manager with TSS ? Transportation Simulation Systems Ltd in the U.K. He received his PhD and BSc degree in Physics from University of Southampton in 1989 and 1986 respectively. He is a Member of the IET and Inst. of Physics and Chartered Engineer as well as member of a number of TRB Committees. He is the author/coauthor of wide range of publications related to simulation, evaluation and driver behavior, and prior to his current position had spent 15 years in academia and 10 years in Industry in Consultancy and Software development.
1. Driver Behavior
2. Microscopic modelling
3. Autonomous vehicles and Driver Assistance systems (ADAS)
4. Impact assessment
Mashrur Chowdhury is the Eugene Douglas Mays Professor of Transportation in the Glenn Department of Civil Engineering at Clemson University. He is also a professor in the Department of Automotive Engineering at Clemson University and a member of the Clemson University International Center of Automotive Research (CU ICAR). Dr. Chowdhury is a Co-Director of the Complex Systems, Data Analytics and Visualization Institute (CSAVI) at Clemson University. He is a Senior Member of IEEE and a Fellow of ASCE. He is the author/co-author of 2 books and over 120 peer reviewed papers. He is a registered professional engineer in Ohio.
For more information see webpage: http://www.clemson.edu/ces/departments/ce/people/faculty/chowdhury.html
1. Connected Vehicle Technology Applications
2. Data Analytics including Big Data for Intelligent Transportation Systems
3. Wireless Communications for Intelligent Transportation Systems
4. Autonomous Vehicles
Meng Guo is a Full Professor in the The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education at Beijing University of Technology, Beijing, China.
He was an assistant professor in the National Center for Materials Service Safety at University of Science and Technology Beijing, 2016-2018. He holds his Ph.D. (2016) and Master�s (2012) degrees all in Railway and Highway Engineering at Harbin Institute of Technology. He worked as a visiting scholar in Civil Engineering at the University
of Texas at Austin for one year (2013-2014). His research interests are performance evaluation and life extension of intelligent transportation infrastructures.
1. Intelligent evaluation of sustainable transportation infrastructures
2. Emerging technologies and materials for pavement preservation and maintenance
3. Life cycle assessment of transportation infrastructure
4. Environment-friendly pavement materials and structures
5. Mechanistic modeling of fatigue cracking and durability of pavement materials
Meng Wang is Assistant Professor and Co-Director of the Electric and Automated Transport Research Lab of TU Delft. He obtained his BSc (2003) in Tsinghua University, MSc (2006) in Research Institute of Highway (RIOH) and PhD with Honor (2014) at TU Delft. Between 2006 and 2009, he worked at National ITS Engineering Center, RIOH, China. His main research interests are modeling, control design & impact assessment of automated and cooperative driving systems for safe and efficient traffic flow operations. He has authored more than 70 publications in peer-reviewed journals and conferences and has won IEEE ITS Society Best PhD Dissertation Award (2015) and IEEE ITSC Best Paper Award (2013). He plays an active role in several research projects on automated driving and traffic management under the Dutch Automated Vehicle Initiative and EU Horizon 2020 program. He has been the Associate Editors/IPC Members of the IEEE ITSS’s flagship conferences of ITSC since 2013 and IV’ since 2016 and he is the Program Chair of IEEE FISTS 2020. He serves as a member of IEEE ITSS TC on Cooperative and Automated Vehicles and TRB subcommittee Traffic Flow Modelling for Connected and Automated Vehicles. He is also a committee member of World Conference on Transport Research Society (WCTRS).
1. Cooperative Vehicle Infrastructure Systems
2. Traffic Flow Modeling and Simulation
3. Eco-driving systems
4. Traffic Safety Modeling
MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now a Distinguished Professor of Electrical and Computer Engineering. He has over 800 publications including 12 books, 500+ journal papers (400+ in IEEE Transactions), 29 book-chapters and 14 patents. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering. He is currently AE of three IEEE transactions and previously served as Editor, AE or Guest Editor for ten IEEE Transactions. He is a recipient of Humboldt Research Award for US Senior Scientists, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and Cybernetics Society. He served as General Chair, Program Chair, and other chair positions for many international conferences including 2013 IEEE International Conference on Vehicular Electronics and Safety. He is a Fellow of IEEE, International Federation of Automatic Control (IFAC) and American Association for the Advancement of Science (AAAS).
1. Petri nets and discrete event systems in transportation
2. Internet of Things and Internet of Vehicles
3. Communication and control for high-speed trains and rail networks
4. Big data analytics, cloud computing and fog computing in ITS
Mi Lu is a Full Professor in the Department of Electrical and Computer Engineering, at the Texas A&M University (TAMU), College Station, USA.
She was an associate professor in the ECE Department at TAMU, 1993-1998. Prior to that, she was an assistant professor in the ECE Department at TAMU, 1987-1993. She completed her Ph.D. in Electrical Engineering at Rice University, Houston, USA (1987). She holds master�s degree in Electrical Engineering from Rice University (1984).
Her research interests are parallel computing, image processing, AI, and their applications in intelligent transportations.
1. Computer Arithmetic
2. Parallel Computing and Distributed Processing
3. Parallel Computer Architectures and Algorithms
4. Computer Networks
5. Computational Geometry
6. Image Processing
7. AI in Intelligent Transportations
8. VLSI Algorithms
Mingyuan Gao is an Associate Professor in the College of Engineering and Technology at Southwest University, China, and a Postdoctoral Researcher in the College of Engineering and Computer Science at the Australian National University.
He was a Senior Mechanical Engineer in Siemens AG from 2011 to 2018. He completed his Ph.D. in Railway Engineering at Southwest Jiaotong University in 2015. He earned his B.S. and M.S. in Mechanical Engineering at Huazhong University of Science and Technology, China, in
2008 and 2010. His research interests include railway inspection, self-powered monitoring, energy harvesting, flexible electronics. He won the 2010 GE foundation Tech Award-First Place Award.
For more information, please refer to the webpage https://www.researchgate.net/profile/Mingyuan_Gao3
LinkedIn: https://www.linkedin.com/in/mingyuan-gao-ab548118/ Contact: email@example.com, firstname.lastname@example.org
1. Smart sensing and inspection in the railway industry
2. Self-powered monitoring of railway infrastructures
3. Energy harvesting and flexible electronics for railway transportation
Monica Nicoli is Associate Professor of Telecommunications in the Department of Management, Economics and Industrial Engineering at Politecnico di Milano, Milano, Italy, where she teaches �Localization, Navigation and Smart Mobility� and �Communication Technologies for Vehicles�. She received the M.Sc. in Telecommunication Engineering (cum laude) in 1998 and the Ph.D. in Electronic and Communication Engineering in 2002, both from Politecnico di Milano. In 2001, she was Visiting Researcher with Uppsala University, Sweden. In 2002, she joined Politecnico di Milano as a Faculty Member. Her research interests cover wireless communications and statistical signal processing for ITS, with emphasis on V2X communications, localization and navigation, cooperative and distributed systems for the Internet of Vehicles. She has co-authored over 120 journal and conference peer-reviewed papers, book chapters and patents. She is recipient of the Marisa Bellisario Award (1999), co-recipient of the Best
Student Paper Award of the IEEE Statistical Signal Processing Workshop (2018) and Best Paper Award the IET Intelligent Transport Systems Journal (2014). She served as Associate Editor of the EURASIP Journal on Wireless Communications and Networking from 2010 to 2017, and as Lead Guest Editor for the Special Issue on Localization in Mobile Wireless and Sensor Networks in 2011.
1. V2X and Cooperative ITS
2. Localization and Navigation
3. Wireless Communications
4. Signal Processing and Machine Learning
Nikolaos Bekiaris-Liberis is Assistant Professor in the department of Electrical & Computer Engineering at Technical University of Crete, Greece. He received the Ph.D. degree in Aerospace Engineering from the University of California, San Diego, in 2013. From 2013 to 2014 he was a postdoctoral researcher at the University of California, Berkeley and from 2014 to 2017 he was a research associate and adjunct professor at Technical University of Crete, Greece. From 2017 to 2019 he was a Marie Sklodowska-Curie Fellow at Technical University of Crete. He has authored/coauthored 1 book and about 100 papers. Dr. Bekiaris-Liberis received the Chancellor's Dissertation Medal in Engineering from UC San Diego, in 2014 and is the recipient of a 2016 Marie Sklodowska-Curie Individual Fellowship Grant.
1. Time-delay systems
2. Partial differential equations
3. (Cooperative) Adaptive cruise control
4. Macroscopic model-based traffic flow control/estimation
Nikolas Geroliminis is an Associate Professor at EPFL and the head of the Urban Transport Systems Laboratory (LUTS). Before joining EPFL he was an Assistant Professor on the faculty of the Department of Civil Engineering at the University of Minnesota. He has a diploma in Civil Engineering from the National Technical University of Athens (NTUA) and a MSc and Ph.D. in civil engineering from University of California, Berkeley. He is also an Associate Editor for Transportation Research part C and he also serves in the editorial board of Transportation Research part B, Journal of ITS and of many international journals and conferences. He is a member of the Transportation Research Board's Traffic Flow Theory Committee. His research interests focus primarily on urban transportation systems, traffic flow theory and control, public transportation and logistics, Optimization and Large Scale Networks. He is a recent recipient of the ERC Starting Grant ?METAFERW: Modeling and controlling traffic congestion and propagation in large-scale urban multimodal networks?
1. Traffic Flow Modeling
2. Traffic Management and Control
Peijun Ye is currently an assistant professor with the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. He received his Ph.D. in 2013 from University of Chinese Academy of Sciences, and was a visiting scholar in Department of Cognitive Science, University of California at San Diego during 2017-2018. Dr. Ye is the principal investigator of projects from National Natural Science Foundation of China and China Scholarship Council. He serves as an Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Computational Social Systems, and the Secretary for the Social and Economic Computing ACM Chapter. He is also a reviewer of the Journal of Artificial Societies and Social Simulation, Knowledge and Information Systems, IEEE/CAA Journal of Automatica Sinica, and IEEE International Conference on Intelligent Transportation Systems.
1. Multi-Agent Modeling and Simulation
2. Traffic Flow Analysis and Optimization
3. Artificial Intelligence
4. Distributed Computing
Pierluigi Pisu is an Associate Professor in the Carroll A. Campbell Jr. Graduate Engineering Center at the Clemson University International Center for Automotive Research with a joint appointment in the Holcombe Department of Electrical and Computer Engineering at Clemson University. He is the Director of the DOE GATE Hybrid Electric Powertrain Laboratory and the Creative CAR Laboratory. He received his PhD from the Ohio State University in 2002 and his MS degree from University of Genoa, Italy in 1996. He is a member of the IEEE, ASME and SAE. He holds 3 patents, and he is the author of 1 book and over 120 papers. His research interests lie in the area of functional safety, security, control and optimization of Cyber-Physical Systems for next generation of high performance and resilient connected and automated systems with emphasis in both theoretical formulation and virtual/hardware-in-the-loop validation.
For more information see webpage:
1. Resilient Control and Security for Cyber-Physical Systems
2. Functional Safety and Fault Diagnosis
3. Optimal Energy Management in Transportation
4. Prognostics and Health Management
Pu Wang is a Professor of Transportation Engineering at Central South University, China. He received his Masters and PhD from University of Notre Dame in 2007 and 2010 respectively and his BSc degree from University of Science and Technology of China in 2005. From 2010/5 to 2011/12, he worked as a Postdoc researcher at MIT. He is the author/coauthor of over 20 papers, some of which were published on Science, Nature Physics and Nature Communications.
1. Social Transportation
2. Travel Demand Modeling
3. Urban Traffic Control
4. Vehicle Routing
Pushkin Kachroo is the Lincy chaired Professor of Transportation in the Department of Electrical and Computer Engineering at UNLV. He obtained his Ph.D. in Mechanical Engineering from University of California Berkeley performing research in Vehicle Control in 1993, and obtained Ph.D. in Mathematics from Virginia Tech in the area of hyperbolic system of partial differential equations with applications to Traffic Control and Evacuation. He has authored 10 books on traffic and vehicle control. He has authored more than 160 publications that include books, research papers, and edited volumes. He has been the advisor of more than fifty graduate degrees of students, and has been P.I. or Co P.I. on projects worth more than 4 Million Dollars. He was awarded the most outstanding new professor at Virginia Tech, and also has received many teaching awards and certificates at Virginia Tech and UNLV. He received the faculty excellence award from CSUN UNLV in 2011. Dr. Kachroo was a visiting Professor at the University of California at Berkeley in 2013 under Dr. Shankar Sastry. He was the recipient of College Distinguished Researcher Award UNLV, in 2014, as well as the Barrick Distinguished Scholar Award, UNLV also in 2014.
1. Traffic Flow Modeling and Control
2. Vehicle Dynamics and Control
3. V2X Communication and Architectures
4. Performance Measures, Traffic Sensing, and Feedback Control
Qi Kang received the B.S. degree in automatic control, the M.S. degree in control theory and control engineering, and the Ph.D. degree in control theory and control engineering from Tongji University, Shanghai, China, in 2002, 2005, and 2009, respectively.
From 2007 to 2008, he was a Research Associate with the University of Illinois, Chicago, IL, USA. From 2014 to 2015, he was a Visiting Scholar with the New Jersey Institute of Technology, Newark, NJ, USA. He is currently a Professor with the Department of Control Science and Engineering and the Shanghai Institute of Intelligent Science and Technology, Tongji University. He has led or participated in over ten research projects, funded by the National Natural Science Foundation of China, the Ministry of Science and Technology of China, the Ministry of Education of China, and industry. He has over 100 publications, including three books, over 60 journal papers. He holds six patents and over ten pending ones. His research interests are in swarm intelligence, evolutionary computation, machine learning, and intelligent control and engineering optimization in transportation, energy, and water systems.
1. Swam Intelligence and Evolutionary Computation
2. Transfer Learning and Continual Learning
3. Hybrid-Augmented Intelligence
4. AI applications in transportation
Qiang Ji is a Professor of Electrical Engineering at Rensselaer Polytechnic Institute. He received his PhD in Electrical Engineering from the University of Washington in 1998. His research focuses on computer vision, probabilistic machine learning and their applications. He has extensive experience in developing computer vision techniques for real time and non-intrusive driver state/behavior analysis, recognition, and assistance. He has published over 230 papers in these areas. His research has been supported by major governmental agencies including DOT, FHWA, NSF, and DoD. Besides IEEE ITS, he also serves as an associate editor for IEEE Transactions on Affective Computing, IEEE Transactions on Cybernetics, and as a general chair or program chair for numerous international conferences/workshops. He previously served as a program director at the National Science Foundation, responsible for NSF computer vision and machine learning program, and as a member of the National Academics of Sciences? Safety Technical Expert Task Group (T-ETG) on Computer Vision, overseeing the processing and analysis of the SHRP 2 Naturalistic Driving data. He is a fellow of the IEEE and a fellow of the International Association of Pattern Recognition (IAPR).
1. Computer vision & Real-Time Image Analysis
2. Driver State and Intent Recognition
3. Advanced Driver Assistance Systems (expert systems, intelligent agents)
4. Vision-based Autonomous vehicle
Qiang Zhu is a Profssor and Chair of the Department of Computer and Information Science at the University of Michigan - Dearborn, USA. He is also the William E. Stirton Professor at the University. He is an affiliated faculty member of the Michigan Institute of Data Science (MIDAS) at the University of Michigan. He received his Ph.D. in Computer Science from the University of Waterloo in 1995. He also holds an M.Sc. from the McMaster University and an M.Eng. and a B.Sc. from the Southeast University. He has been honored as an ACM Distinguished Scientist (2013) and an IBM CAS Faculty Fellow (2003). His research has been supported by highly competitive funding sources including NSF, IBM and Ford Motor Company. He was a recipient of numerous distinguished awards/honors including 2004 IBM Faculty Award, 2003 IBM Faculty Award, 2001 UMD Distinguished Faculty Research Award, 1999 IBM University Partnership Research Award, and a number of best paper awards including the 2008 Wilkes Award from British Computer Scienty. He has published over 120 papers in peer reviewed journals and conferences. Some of his research work was included in several well-known research/text books. He has served as an Editor-in-Chief, Associate Editor, and Editorial Board member for 6 journals and a program/organizing committee member for over 150 international conferences.
1. Information Systems (databases, data integration, spatial data, security & privacy)
2. Vehicular Data/Information/Knowledge Applications
3. Big Data Analytics for Intelligent Transportation Systems
4. Telematics and Infotainment
Qing He is Professor and Vice Department Chair of Road and Railway Engineering, School of Civil Engineering at Southwest Jiaotong University (SWJTU), China. He is also the Associate Director of high-speed rail engineering lab of Ministry of Education, China. He obtained his BS and MS from SWJTU and PhD from University of Arizona. Then he worked as a postdoctoral researcher in IBM T J Watson Research Center. He was an Associate Professor at University at Buffalo (UB), The State University of New York before joined SWJTU. He�s research focuses on road and rail modeling, design and data analysis and decision making in transportation infrastructure intelligent maintenance. He is associate editor of ASCE Journal of Transportation Engineering Part A: Systems, and handling editor of Transportation Research Record. Dr. He chairs ITS group of INFORMS Transportation Science and Logistics (TSL). He has published more than 60 journal papers.
1. Road and Rail Location Design
2. Rail Data Analysis
3. Railway Inspection and Sensing Technologies
4. Maintenance Decision-Making for Transportation Infrastructure
Dr. Qingbin Gao received his B.S. degree in Mechanical Engineering from Harbin Institute of Technology, China, in 2011 and Ph.D. degree in Mechanical Engineering from University of Connecticut in 2015. He has been an Assistant Professor in the Department of Mechanical and Aerospace Engineering at California State University, Long Beach from 2015 to 2018. From 2018 till 2019, he has been an Assistant Professor in the Department of Mechanical Engineering at the University of Alabama. Starting from August 2019, he joined the School of Mechanical Engineering and Automation at the Harbin Institute of Technology (Shenzhen) as an Associate Professor.
Dr. Gao's main research focuses on the stability analysis and control synthesis of time-delay systems with applications to multi-agent systems, manufacturing, connected vehicles, human learning, power systems and vibrations. He is the recipient of the Best Conference Paper Award of the 19th International Conference on Networking, Sensing, and Control (ICNSC) in 2017 and the 6th American Society of Mechanical Engineers (ASME) Dynamic Systems and Control Conference (DSCC) in 2013
For more information regarding my publications, please refer to the webpage
Google Scholar Profile: https://scholar.google.com/citations?user=DkozDV0AAAAJ&hl=en Contact: email@example.com
1. Stability and Control of Time-delay Systems
2. Multi-agent Systems
3. Connected Vehicles and Smart Transportation
Qingpeng Zhang is an Assistant Professor at the City University of Hong Kong. He received the B.S. degree in Automation from Huazhong University of Science and Technology in 2009, and the M.S. degree in Industrial Engineering and the Ph.D. degree in Systems and Industrial Engineering with a minor in Management Information Systems from The University of Arizona, in 2011 and 2012, respectively. Prior to joining CityU, he worked as a Postdoctoral Research Associate with The Tetherless World Constellation at Rensselaer Polytechnic Institute. His research interests include social informatics and social computing, complex networks, healthcare analytics, semantic social networks, and web science.
1. Social Informatics and Social Computing
2. Complex Systems
3. Network Science
4. Healthcare Analytics
Qixiang Ye(M'10-SM'15) is a full professor with the University of Chinese Academy of Sciences since 2009. He is the funding director of the pattern recognition and intelligent system development (Pri-SDL) lab. He received the B.S. and M.S. degrees in mechanical and electrical engineering from Harbin Institute of Technology, China, in 1999 and 2001, respectively, and the Ph.D. degree from the Institute of Computing Technology, Chinese Academy of Sciences in 2006. He was a visiting assistant professor with the Institute of Advanced Computer Studies (UMIACS), University of Maryland, College Park until 2013 and a visiting scholar of Duke University EECS in 2016. His research
interests include visual object detection and machine learning, especially pedestrian and sign detection for intelligent transportation systems. With more than 100 papers published in refereed conferences and journals including IEEE T-ITS, TIP, TNN, T-PAMI, CVPR, ICCV, ECCV, AAAI, and NeurIPS. Dr. Ye received the Sony Outstanding Paper Award and the LuJiaXi Young Researcher Award. He is an SPC of IJCAI 2020 and 2021 and a senior member of IEEE.
For more information please kindly refer to the webpage:
University Profile: http://people.ucas.ac.cn/~qxye?language=en
Contact: Email: firstname.lastname@example.org
1. Computer Vision and Pattern Recognition
2. Machine Learning
3. Object Detection in Intelligent Transportation Systems
4. Smart Cities
Reza Arghandeh is a Full Professor in the Department of Computer Science, Electrical Engineering, and Mathematical Sciences at the Western Norway University of Applied Sciences, Bergen, Norway. He is the funding director of the collaborative intelligent infrastructure lab (CI2Lab). He is also a Research Professor in the Electrical and Computer Department at FAMU-FSU College of Engineering, Florida State University, Tallahassee, USA. Moreover, he is a senior data scientist with StormGeo company, in Bergen, Norway. He was an assistant professor in the ECE Department, Center for Advanced Power Systems, Florida State University, 2015-2018. Prior to FSU, He was a postdoctoral scholar at the University of California, Berkeley, EECS Dept 2013-2015. He completed his Ph.D. in Electrical Engineering at Virginia Tech. He holds Master’s degrees in Industrial and System Engineering from Virginia Tech (2013) and in Energy Systems from the University of Manchester (2008). Dr. Arghandeh's research interests are data analysis and decision support for smart cities especially electricity and transportation networks.
1. Electricity and Transportation Networks Interoperability
2. Infrastructure Resilience and Emergency Management
3. Artificial Intelligence and Machine Learning
4. Smart Cities Operation and Management
Reza Langari (SM?02) received his B.Sc., M.Sc., and Ph.D. degrees from University of California, Berkeley, CA, USA, in 1981, 1983, and 1991, respectively. He was with Measurex Corporation (1984-1985); Integrated Systems, Inc. (1985-1986), and Insight Development Corporation (1987-1989) prior to starting his academic career with Texas A&M University, College Station, TX, USA, in September 1991. Dr. Langari is the author/co-author of 5 books and over 200 technical papers. He has also served as an Associate Editor of the IEEE Transactions on Fuzzy Systems, the IEEE Transactions on Vehicular Technologies, and the ASME Journal of Dynamic Systems, Measurement, and Control.
For more information see webpage https://engineering.tamu.edu/mechanical/profiles/langari-reza.html
1. Automated Vehicles
2. Hybrid and Electric Vehicles
3. Connected Vehicles; V2V/V2I
4. Vehicle Dynamics and Control
Dr. Reza Malekian (CEng) is a Full-Professor in the Department of Computer Science, Malmö University, Sweden and an Extraordinary Professor and immediate past head of Advanced Sensor Networks Research Group in Department of Electrical, Electronic, and Computer Engineering, University of Pretoria. His research focuses on Internet of Things and connectivity in Intelligent Transportation Systems. Having many years’ experience in teaching and research in both the university and the industry sectors, he has maintained an active research programme and provided supervision and mentorship to several doctoral students and postdoctoral fellows, under industry and government funding. He has published over 170 scholarly articles, conference papers, and book chapters and some of his articles are highly cited on the Web of Science and ranked among the top 1% based on the highly cited threshold for the academic field. He is Chartered Engineer (CEng) and a Fellow of the British Computer Society. He is serving as Associate Editor for IEEE Transaction on Intelligent Transportation Systems and IEEE Internet of Things Journal. He was also a guest editor for IEEE Transactions on Industrial Informatics, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Journal, and Elsevier Computer Networks.
1. Connected vehicles
2. Vehicle platooning
3. Traffic Flow Modeling and road safety
4. Vehicular networks
Riad Hammoud is senior principal researcher at BAE Systems (Burlington, MA) since Feb 2012, working on image/video exploitation and robotics, and serving as Principal Investigator, Proposal Writer and Algorithm/Team lead. He holds a PhD degree in Computer Visiooin & Robotics from INRIA (Grenoble, France), and a Master degree in Control of Systems from UTC (Compiegne, France) since February 2001 and July 1997, respectively. While at Dynavox Technologies (2009-2011) he developed a free-head motion eye gaze tracking system for folks with motor disabilities to communicate via eye-gaze. At Delphi Automotive Systems (2003-2009) he developed video-based advanced driver support systems including driver fatigue & distraction detection and adaptive forward-collision warning. Dr. Riad I. Hammoud has been a collaborating researcher at MIT and a member of the MIT Team on the DARPA Robotics Challenge (DRC) in 2013. Dr. Riad Hammoud served as Guest Editor of 4 special issues of IJCV and CVIU journals. He serves also on the TPC and as Area Chair of several computer vision conferences including EEE CVPR, AVSS and WACV. He authored 70+ publications including 5 Springer book, 12 journal articles, and 12 US patents.
1. Computer vision
2. Video Exploitation
3. Autonomy and Robotics
Rob M.P. Goverde
Rob M.P. Goverde is a Professor of Railway Traffic Management & Operations and Director of the Digital Rail Traffic Lab at Delft University of Technology, the Netherlands. He received his MSc degree in Mathematics from Utrecht University in 1993, his PDEng degree in Mathematical Modeling and Decision Support from Delft University of Technology in 1996, and his PhD degree in Railway Operations from Delft University of Technology in 2005. His research interests include railway operations, railway timetabling, railway traffic management, train control, and railway signaling. He is also Editor-in-Chief of the Journal of Rail Transport Planning & Management, board member of the International Association of Railway Operations Research (IAROR), and Fellow of the Institution of Railway Signal Engineers (FIRSE).
1. Railway traffic management
2. Railway transportation planning
3. Train control
4. Railway signaling
Ronghui Liu is an Associate Professor at the Institute for Transport Studies, University of Leeds, UK. She received her BSc from Peking University, China in 1986 and PhD from Cambridge University, UK in 1991. Her research areas span a number of themes in the field of transport studies: in vehicle dynamics and traffic microsimulaton model developments; in traffic control theory and algorithms; in travel behaviour and Intelligent mobility; in stochastic models and reliability analysis; in public transport operations and controls; in timetabling and schedule coordination; and in train control and railway traffic management systems. She is particularly interested in the interrelationships between these themes, and methodologies for estimation, design and evaluation of their network-wide effects. She is the author/co-author of over 200 papers including publications in leading international journals of the field such as in Transportation Science, Transportation Research Part A, B, C and E, Transportation, Transportmetrica, Physica A, Networks and Spatial Economics, and Science of the Total Environment. She is the co-editor a book on Artificial Transportation Systems Simulation following a series IEEE-ITS special sessions on the subject.
1. Vehicle dynamics simulation and traffic signal control
2. Train simulation and railway traffic management
3. Network assignment and simulation modelling
4. Public transport operations and control
Rosaldo J. F. Rossetti
Rosaldo J. F. Rossetti is an Assistant Professor with the Department of Informatics Engineering, and a Senior Research Fellow as well as a member of the Directive Board of the Artificial Intelligence and Computer Science Laboratory, University of Porto, Portugal. He received the Civil Engineering degree from UFC, in 1995, and both MSc and PhD degrees in Computer Science from UFRGS, Brazil, in 1998 and 2002, respectively. He carried out his doctoral thesis as a graduate research student at Leeds University?s Institute for Transport Studies, UK, within the Network Modelling Group. Dr. Rossetti served as BoG Member of IEEE ITS Society during term 2011-2013. Currently, he serves as Chair of the ATS and Simulation Technical Activities sub-committee, Associate Editor of IEEE Transactions on ITS, ITS Department Editor of IEEE Intelligent Systems, and member of the Steering Committee of IEEE Smart Cities Initiative. He is also member of the Technical Committee on Intelligent Industrial Systems of IEEE Systems, Man, and Cybernetics Society. Dr. Rossetti will be the General Chair for the IEEE ITSC 2016, the flagship conference of IEEE ITS Society. Besides IEEE, he is also member of ACM, APPIA, and Founder Member of the Portuguese-Brazilian Society for Modelling and Simulation.
1. Multi-Agent Systems in Traffic and Transportation
2. Behavioural Modelling, human factors, and Social Simulation
3. Artificial Transportation Systems and Simulation
4. Future mobility paradigms and smartification of urban transportation
Rui Xiong received the M.Sc. degree in vehicle engineering and the Ph.D. degree in mechanical engineering from Beijing Institute of Technology, Beijing, China, in 2010 and 2014, respectively.
He is a Professor and director of advanced energy storage and application laboratory with the Beijing Institute of Technology, Beijing, China. From 2019 to 2020, he was a Visiting Professor at the Massachusetts Institute of Technology, Cambridge, MA, USA. Since 2017, he has been an Adjunct Professor in the Faculty of Science, Engineering and Technology, Swinburne University of
Technology, Melbourne, Australia. He has conducted extensive research and authored more than 100 journal papers. His research interests include intelligent electrified vehicle, batteries, machine learning and energy storage.
Dr. Xiong is a Fellow of the Institution of Engineering and Technology (IET), he has been continuously selected as the HIGHLY CITED RESEARCHER from Clarivate Analytics from 2018, 2019 and 2020 (noticed by Email), Most Cited Chinese Researchers from Elsevier in 2019. He was a recipient of the National Science Fund of China for Excellent Young Scholars in 2019, the First Prize of Natural Science Award of the Ministry of Education of China in 2018 and the First Prize of the Chinese Automobile Industry Science and Technology Invention Award in 2018. He serves as an Associate Editor for the IET Power Electronics, IET Intelligent Transport Systems, and on the Editorial Board for the Applied Energy and Electrical Engineering. He is the Conference Chair of the 2017 International Symposium on Electric Vehicles (ISEV 2017), in Stockholm, Sweden, the 2018 and 2019 International Conference on Electric and Intelligent Vehicles (ICEIV 2018 and ICEIV2019), in Australia and Norway, respectively.
1. Intelligent electrified vehicle and Smart transportation
2. Batteries and intelligent management
3. Artificial Intelligence and Machine Learning
4. Smart city and energy storage
S.C. Wong is Associate Dean of Engineering and Chair Professor of Transportation Engineering, and holds Francis S Y Bong Professorship in Engineering, at the University of Hong Kong. He was Head of Department of Civil Engineering from 2011-2017. He received his B.Sc.(Eng.) and M.Phil. degrees from the University of Hong Kong, and Ph.D. from University College London. His research interests include the optimization of traffic signal settings, continuum modeling for traffic equilibrium problems, traffic flow theory, traffic management and control, transportation planning and network modeling, and road safety. He received the Best Paper Award (Editors' Choice, Outstanding Paper) from the ASCE Journal of Transportation Engineering in 2011, and an Outstanding Researcher Award in 2009 and Outstanding Young Researcher Award in 2000 from the University of Hong Kong. Professor Wong is currently Editor-in-Chief of Transportmetrica A: Transport Science, and International Journal of Sustainable Transportation; Editor of Transportmetrica B: Transport Dynamics; Area Editor of Journal of Transportation Safety & Security; Associate Editor of IEEE Transactions on Intelligent Transportation Systems, Analytic Methods in Accident Research, and Travel Behaviour and Society; and Editorial Board Member of Transportation Research Part B, Accident Analysis and Prevention, Transport Reviews, Journal of Intelligent Transportation Systems, ASCE Journal of Urban Planning and Development, International Journal of Shipping and Transport Logistics, etc. He was member of Committee of Application of Advanced Technologies in Transportation of ASCE, USA, and A1C05 Network Modeling Committee and AHB45 Committee on Traffic Flow Theory and Characteristics, Transportation Research Board, USA, and International Scientific Committee of the Eastern Asian Society for Transportation Studies.
1. Traffic Signal Control
2. Network Modeling
3. Traffic Flow Modeling
4. Traffic Safety
SK Hafizul Islam
SK Hafizul Islam received M.Sc. degree in applied mathematics from Vidyasagar University, Midnapore, India, in 2006, and M.Tech. degree in computer application and Ph.D. degree in Computer Science and Engineering in 2009 and 2013, respectively, from Indian Institute of Technology [IIT (ISM)] Dhanbad, Jharkhand, India, under the INSPIRE Fellowship Ph.D. Program (funded by the Department of Science and Technology, Government of India). He is currently an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani (IIIT Kalyani), West Bengal, India. Before joining the IIIT Kalyani, he was an Assistant Professor with the Department of Computer Science and Information
Systems, Birla Institute of Technology and Science, Pilani (BITS Pilani), Rajasthan, India. He has more than seven years of teaching and ten years of research experience. He has authored or co-authored 110 research papers in journals and conference proceedings of international reputes. He is an Associate Editor for �IEEE Systems Journal�, �IEEE Access�, �International Journal of Communication Systems (Wiley)�, �Telecommunication Systems (Springer)�, �Security and Privacy (Wiley)�, �Array- Journal (Elsevier)� and Technical Committee Member of �Computer Communications (Elsevier)�. He was a reviewer in many reputed international journals and conferences. He is a senior member of IEEE and a member of ACM. He was the recipient of the University Gold Medal, the S. D. Singha Memorial Endowment Gold Medal, and the Sabitri Parya Memorial Endowment Gold Medal from Vidyasagar University, in 2006. He was also the recipient of the University Gold Medal from IIT(ISM) Dhanbad in 2009 and the OPERA award from BITS Pilani in 2015.
For more information, please refer to the webpage
Personal Profile: https://sites.google.com/site/hafi786/
Google Scholar: https://scholar.google.co.in/citations?user=ip3ClBIAAAAJ&hl=en
Institute Profile: http://iiitkalyani.ac.in/php/facultymainpage/skh.html
1. Intelligent Transport Security
2. Internet of Vehicles
3. Cloud Security,
4. Information & Network Security,
5. IoT & Blockchain Security
Dr. Sahil Garg is a currently a Postdoctoral Research Fellow at �cole de technologie sup�rieure (�TS), Montreal, Canada; and a MITACS Intern at the Global AI Accelerator, Ericsson, Montreal. He got his Ph.D. degree from Thapar Institute of Engineering and Technology, India, in 2018; where he was the recipient of a prestigious Visvesvaraya PhD fellowship from the Ministry of Electronics & Information Technology, Government of India. He is also a visiting researcher with the School of Computer Science and Engineering (SCSE) at the Nanyang Technological University (NTU) Singapore. His research interests are mainly in the areas of Machine Learning, Big Data Analytics, Knowledge Discovery, Cloud Computing, Internet of Things, Software Defined Networking, and Vehicular Ad-hoc Networks. He has over 80 publications in high ranked Journals and Conferences, including 50+ top-tier journal papers and 30+ reputed conference articles. He has been awarded the IEEE ICC best paper award in 2018 at Kansas City, Missouri. He is currently a Managing Editor of Springer's Human-centric Computing and Information Sciences (HCIS) journal. He is also an Associate Editor of IEEE Network Magazine, IEEE Systems Journal, Elsevier's Future Generation Computer Systems (FGCS), Elsevier's Applied Soft Computing (ASoC), and Wiley's International Journal of Communication Systems (IJCS). In addition, he also serves as the Workshops and Symposia Officer for the IEEE ComSoc Emerging Technology Initiative on Aerial Communications. He guest edited/editing a number of special issues in top-cited journals including IEEE Transactions on Intelligent Transportation Systems (T-ITS), IEEE Transactions on Industrial Informatics (TII), IEEE Internet of Things (IoT) Journal, IEEE Network Magazine, Future Generation Computer Systems (Elsevier), Neural Computing and Applications (Springer), etc. He also serves as the special sessions/workshop chair and publication chair for CCCI'20 and ICICC'20, respectively. He is also the workshop chair/publicity co-chair for several IEEE/ACM conferences including IEEE Infocom, IEEE Globecom, IEEE ICC, ACM MobiCom, etc. He is a member of IEEE, ACM, and IAENG; and also actively involved in various technical societies including IEEE Communications Society, IEEE Computer Society, IEEE Industrial Electronics Society, IEEE Smart Grid Community, etc.
For more information, please refer to the webpage:
Scholar Link: https://scholar.google.com/citations?user=2dfHHwcAAAAJ&hl=en LinkedIn: https://www.linkedin.com/in/sahil-garg22/
1. Vehicular Networks
2. Security & Privacy
3. Software Defined Networking
4. Cloud Computing
5. Artificial Intelligence and Machine Learning
Samer Hani Hamdar
Samer Hani Hamdar is an Associate Professor of Civil and Environmental Engineering at the George Washington University (GW) and the Director of the GW Transportation Program. He received his Master of Science (MSc) Degree from the University of Maryland, College Park, and his Doctor of Philosophy (PhD) Degree from Northwestern University in 2004 and 2008 respectively and his Bachelor of Engineering (BE) Degree from the American University of Beirut in 2003. He is a member of the IEEE Society and the Transportation Research Board Emergency Evacuation and Traffic Flow Theory and Characteristics Committees. He is the author/co-author of more than 30 book chapters/journal publications and 30 additional conference papers.
1. Traffic Flow Theory and Control
2. Driver and Travel Behavior
3. Transportation Safety
4. Pedestrian and Crowd Dynamics
Selina Pan is a Senior Research Scientist at Toyota Research Institute, where she works on control, planning, and human-vehicle interaction for self-driving car systems. Prior to joining Toyota, she was a research scientist at Ford Research & Innovation Center. She was a postdoctoral researcher in the Dynamic Design Laboratory at Stanford University, where her research focused on ethics, driver