PUBLICATIONS

T-ITS Editorial Board

Azim Eskandarian.jpg

Azim Eskandarian

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.

Web page: http://www.me.vt.edu/people/faculty/azim-eskandarian/

Contact: eskandarian@vt.edu

 

Research Areas:

  1. Intelligent and Autonomous Vehicles

  2. Vehicle Dynamics and Control

  3. Advanced Driver Assistance Systems

  4. Collision Avoidance

Miriam Snyder.jpg

Miriam Snyder

Editorial Assistant

University of Southern California

920 Bloom Walk, SSC 611

Los Angeles, CA 90089

Tel: +1 (213) 821-4288

E-mail: ieeeitstransactions@gmail.com

Angelos Amditis

Senior Editor

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/).

For more information: http://amditis.iccs.ntua.gr/
Contact: a.amditis@iccs.gr

Research Areas
1. Electromobility
2. Cooperative Systems
3. Automated Transport Systems
4. Smart Mobility

Bart De Schutter

Senior Editor

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.

Research areas:
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

Senior Editor

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.

Research areas:
1. Markov decision processes
2. Freight transportation
3. Logistics
4. Supply chain systems

Christoph Mecklenbrueker

Senior Editor

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.

Research Areas:
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

Fei-Yue Wang

Senior Editor

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.

Research Areas:
1. Intelligent and Autonomous Vehicles
2. Traffic Management and Control
3. Traffic Signal Control Optimization
4. Traffic Sensing and Perception

Hani S. Mahmassani

Senior Editor

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.

Hussein Dia

Senior Editor

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.

For more information: http://husseindia.com
Contact: hdia@swin.edu.au

Research Areas:
1. Smart mobility
2. Traffic and transport modelling and simulation
3. Network management and optimization
4. Traveler information and dynamic driver behavior models

Matthew Barth

Senior Editor

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.

For more information: http://www.ee.ucr.edu/~barth/
Contact: barth@ee.ucr.edu

Research Areas:
1. ITS and the Environment
2. Transportation/Emissions Modeling
3. Vehicle Activity Analysis
4. Advanced Navigation Techniques

Nanning Zheng

Senior Editor

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.

Research Areas:
1. Pattern Recognition
2. Computer Vision
3. Image Processing
4. Intelligent Systems

Nikos Papanikolopoulos

Senior Editor

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.

For more information: http://www.cs.umn.edu/~npapas
Contact: npapas@cs.umn.edu

Research Areas:
1. Computer Vision
2. Intelligent Transportation Systems
3. Autonomous Vehicles
4. Robotics

Yaobin Chen

Senior Editor

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.

For more information: http://www.engr.iupui.edu/%7Eychen/
Contact email : ychen@iupui.edu

Research Areas:
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.

Yibing Wang

Senior Editor

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).

Research Areas:
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

Associate Editor

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.

For more information, see webpage:
http://som.nwpu.edu.cn/info/1005/1050.htm
Contact: ache@nwpu.edu.cn

Research Areas:
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 Lam

Associate Editor

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.

For more information see webpage: http://www.eee.hku.hk/~ayslam
Contact albert@fano.ai, ayslam@eee.hku.hk

Research Areas:
1. Management of autonomous and connected vehicles
2. Vehicle-to-grid system
3. Smart city
4. Artificial intelligence and evolutionary computation

Alfredo Nunez

Associate Editor

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.

For more information see webpage:
http://www.alfredonunez.net
Contact: A.A.NunezVicencio@tudelft.nl

Research Areas:
1. Railway Engineering
2. Monitoring of Railway Infrastructure
3. Maintenance Operations in Railway Systems
4. Intelligent Transportation Systems

Ali Hajbabaie

Associate Editor

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.

Research Areas:
1- Distributed optimization in large-scale traffic systems
2- Connected and automated vehicles
3- Traffic operations and control

Andreas Hegyi

Associate Editor

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.

Research Areas
1. Traffic Flow Modeling and Control
2. Connected and cooperative vehicles
3. Traffic state estimation
4. Traffic data analysis

Antonio Bucchiarone

Associate Editor

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).

For more information, please refer to the webpage
http://das.fbk.eu/people/profile/bucchiarone
Contact: bucchiarone@fbk.eu

Research Areas:
1. Smart Mobility
2. Self Adaptive (Collective) Systems
3. Domain Sepcific Languages for Socio-Technical Systems
4. Multi-Agent based modeling simulation

Baris Fidan

Associate Editor

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.

For more information see webpage:
http://mme.uwaterloo.ca/~fidan/
Contact email: fidan@uwaterloo.ca

Research Areas:
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

Associate Editor

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.

For more information see webpage: https://math.temple.edu/~seibold/
Contact email: seibold@temple.edu

Research Areas:
1. Traffic flow modeling
2. Computational methods
3. Calibration and validation of macroscopic models
4. Autonomous vehicles

Beshah Ayalew

Associate Editor

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.

For more information see webpage: https://cecas.clemson.edu/ayalew/
Contact: beshah@clemson.edu

Research Areas:
1. Control and Estimation of Autonomous and Connected Vehicles
2. Traffic Flow Modeling and Control
3. Vehicle Dynamics and Control

Biagio Ciuffo

Associate Editor

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.

Research Areas
1. Traffic modelling and simulation
2. Emissions from transport
3. Transport policies
4. Management of modeling uncertainties

Bindeshwar Singh

Associate Editor

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
Contact: bindeshwar.singh2025@gmail.com

Research Areas:
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

Associate Editor

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.

For more information see webpage: http://www.acsu.buffalo.edu/~seanwu/
Contact: seanwu@buffalo.edu

Research Areas
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

Chenglu Wen

Associate Editor

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.

For more information see webpage:
http://scsc.xmu.edu.cn/clwen/clwen.html
Contact: clwen@xmu.edu.cn

Research Areas:
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

Associate Editor

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.

For more information see webpage: http://control.korea.ac.kr/
Contact: hironaka@korea.ac.kr

Research Areas:
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

Associate Editor

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.

For more information see webpage: http://www.mass-lab-ut.com/
Contact: christian.claudel@utexas.edu

Research Areas:
1. Highway traffic control
2. Highway traffic modeling
3. Sensors
4. Unmanned Aerial Vehicles

Christos G. Panayiotou

Associate Editor

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.

For more information see webpage: http://www.kios.ucy.ac.cy/christos/
Contact: christosp@ucy.ac.cy

Research Areas:
1. Traffic flow modeling, control and simulation
2. Connected vehicles and communication protocols
3. Sensing and fault diagnosis
4. Intelligent logistics

Christos S. Ioakimidis

Associate Editor

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.

Research Areas:
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

Associate Editor

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.

For more information see webpage: webpage:http://faculty.uml.edu/Tricia_Chigan/
Contact: Tricia_Chigan@uml.edu

Research Areas:
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

Associate Editor

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.

Research Areas:
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

Cristina Olaverri Monreal

Associate Editor

Cristina Olaverri Monreal graduated with a master?s degree from the Ludwig- Maximilians University (LMU) in Munich and received her PhD 2006 in cooperation with BMW. After working several years in different European countries and in the US, both within the industry and within academia she is holding the BMVIT endowed professorship and chair for sustainable transport logistics 4.0 at the Johannes Kepler University, Linz, Austria. Her research aims at studying solutions for an efficient and effective transportation focusing on minimizing the barrier between users and road systems, applying wireless communication and sensing technologies. Dr. Olaverri was the general chair of the IEEE International Conference on Vehicular Electronics and Safety (ICVES?2017), is member of the executive committee and vice-president of educational activities of the IEEE Intelligent Transportation Systems (ITS) Society, chair of the technical activities committee on Human Factors and chair of the IEEE ITS Austrian chapter. In addition, she serves as an associate editor and editorial board member of several journals in the field, including the IEEE ITS Transactions and the IEEE ITS Magazine. She has been recently 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.

Research Areas:
1. Human Factors
2. Human Machine Interaction
3. Driver Performance
4. Cognitive Engineering

Dan Work

Associate Editor

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).

For more information see webpage https://publish.illinois.edu/dbwork/
Contact dbwork@illinois.edu

Research Areas:
1. Traffic estimation
2. Transportation systems data analytics
3. Traffic flow modeling and control

Dengfeng Sun

Associate Editor

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.

For more information see webpage: http://web.ics.purdue.edu/~dsun
Contact: dsun@purdue.edu

Research Areas:
1. Distributed control and optimization
2. Air Transportation System
3. Unmanned Aerial Vehicle System
4. Intelligent transportation systems

Denis Fernando Wolf

Associate Editor

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.

For more information see webpage:
http://lrm.icmc.usp.br
Contact: denis@icmc.usp.br

Research Areas:
1. Automated Vehicle Operation,
2. Self-Driving Vehicles;
3. Sensing, Vision, and Perception;
4. Sensor Fusion

Dewang Chen

Associate Editor

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.

Research Areas
1. Intelligent Train Operation
2. Traffic Flow Modeling and Control
3. GPS Data Processing
4. High-speed Railway

Di Wu

Associate Editor

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.

For more information see webpage: https://www.ics.uci.edu/~dwu3/
Contact: dwu@hnu.edu.cn

Research Areas:
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

Eleni I. Vlahogianni

Associate Editor

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).

Research Areas:
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

Associate Editor

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.

For more information see webpage: http://decsai.ugr.es/~viedma
Contact: viedma@decsai.ugr.es

Research Areas:
1. Decision support systems
2. Information systems in transportation
3. Fuzzy tools applied in transportation
4. Web technologies in Transportation

Evangelos I. Kaisar

Associate Editor

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.

For more information see webpage: http://www.cege.fau.edu/research/mitsl.php
Contact: ekaisar@fau.edu

Research Areas:
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

Associate Editor

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.

Research Areas:
1. Autonomous vehicle navigation, perception and control
2. Cooperative driving
3. Multi-sensor fusion
4. Localization and mapping

Feng Chu

Associate Editor

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.

Research Areas:
1. Operations Research
2. Transportation and Logistics
3. Transportation Planning and Scheduling

Fengzhong Qu

Associate Editor

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.

For more information see webpage:
http://mypage.zju.edu.cn/en/jimqufzen
Contact: jimqufz@zju.edu.cn

Research Areas
1. V2V/V2I Communications
2. V2V/V2I Networks
3. Traffic Control
4. Traffic System Modeling

Ge Guo

Associate Editor

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.

Research Areas:
1. Car-sharing and mobility systems
2. Connected vehicles and platooning
3. Travel demand and traffic prediction
4. Transportation cyber-physical systems

Gerald Ostermayer

Associate Editor

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.

Research Areas:
1. Algorithms to Increase Traffic Flow
2. Traffic Simulations and Simulators
3. Applications (services) based on V2X communications
4. Modeling of Human Driving Behavior

Guojie Song

Associate Editor

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#
Contact: gjsong@pku.edu.cn

Research Areas:
1. Data Mining, Machine Learning algorithms and models
2. Graph representation learning, Graph Neural Networks
3. Intelligent Transportation System

Guoqiang Mao

Associate Editor

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.

For more information see webpage:
http://www.guoqiangmao.com
Contact: g.mao@ieee.org

Research Areas:
1. Traffic Flow Modeling and Control
2. Vehicular Networks
3. Advanced Sensing and Communications for ITS
4. Localization, Navigation and Routing

Hai Vu

Associate Editor

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.

For more information, see webpage:
https://www.monash.edu/engineering/lehaivu
Contact hai.vu@monash.edu

Research Areas:
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

Associate Editor

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.

Research areas:
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

Hamid Khayyam

Associate Editor


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.

Research Areas:
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

Associate Editor

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.

For more information see webpage: http://dittlab.tudelft.nl
Contact: j.w.c.vanlint@tudelft.nl

Research Areas
1. Traffic flow modeling and simulation
2. Traffic state estimation & prediction
3. Data assimilation
4. AI applied to transportation problems

Hesham A. Rakha

Associate Editor

Hesham A. Rakha: In addition to serving as the Samuel Reynolds Pritchard Professor of Engineering in the Charles E. Via, Jr. Department of Civil and Environmental Engineering and a Courtesy Professor in the Bradley Department of Electrical and Computer Engineering, Dr. Rakha directs the Center for Sustainable Mobility at the Virginia Tech Transportation Institute. 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. A key component of these control algorithms are the tools needed to predict the system evolution while capturing the inherent stochasticity. In this area, Dr. Rakha and his team develop and apply modeling, artificial intelligence, and statistical techniques to predict the spatiotemporal evolution of the system. Additionally, 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, one of 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.

For more information see webpage: https://sites.google.com/a/vt.edu/hrakha/
Contact: hrakha@vt.edu

Research Areas:
1. Traffic Flow Modeling and Control
2. Connected/Automated Vehicle Control
3. Vehicle Energy Consumption and Emission Modeling
4. Transportation System Safety Modeling

Hilmi Berk Celikoglu

Associate Editor

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.

For more information see webpage: http://faculty.itu.edu.tr/celikoglu/
Contact: celikoglu@itu.edu.tr

Research Areas
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

Associate Editor

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.

For more information see webpage:
http://web.yonsei.ac.kr/hgjung
Contact email : hogijung@ut.ac.kr

Research Areas:
1. Computer Vision
2. Sensor Fusion-based Localization
3. Parking Assistant System
4. Image Processing and Pattern Recognition

Hongbo Jiang

Associate Editor

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.

For more information, please refer to the webpage
https://hongbojiang2004.github.io/en/
Contact: hongbojiang2004@gmail.com

Research Areas:
1. Mobile Networks and IoT
2. Data Privacy and Analysis for Intelligent Transportation Systems
3. Vehicular Localization and Navigation
4. Edge Computing

Horng Lee

Associate Editor

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.

For more information see webpage: http://www.eng.nus.edu.sg/cee/people/ceeleedh/
Contact: dhl@nus.edu.sg

Research Areas:
1. Autonomous mobility on-demand
2. High fidelity mobility simulation
3. Freight transportation
4. Taxi operations and dispatching

Hossein Jula

Associate Editor

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.

Research Areas
1. Autonomous Vehicles
2. Vehicle Routing
3. Agile Ports
4. Optimization

Hua Huang

Associate Editor

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.

Research Areas:
1. Image and Video Processing
2. Computer Graphics

Ioannis Papamichail

Associate Editor

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.

Research Areas:
1. Motorway Traffic Control
2. Urban Signal Control
3. Traffic Flow Modelling
4. Public Transport Priority

Jack Haddad

Associate Editor

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).

For more information, see webpage:
http://haddad.net.technion.ac.il
Contact: jh@technion.ac.il

Research Areas:
1. Traffic flow modeling and control
2. Urban and freeway management
3. Autonomous vehicles
4. Sustainable and green mobility

Javier A. Barria

Associate Editor

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.

For more information see webpage: http://www.imperial.ac.uk/people/j.barria
Contact: j.barria@imperial.ac.uk

Research Areas:
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

Associate Editor

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.

Research Areas:
1. Artificial Intelligence and Machine Learning
2. Data Mining and Data Stream Mining
3. Traffic Modelling, and Control

Javier del Ser

Associate Editor

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.

Research Areas:
1. Machine Learning
2. Artificial Intelligence
3. Traffic Modeling and Optimization
4. Smart Mobility

Jeremy Blum

Associate Editor

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.

For more information see webpage:
http://cs.hbg.psu.edu/~jjb24
Contact: jjb24@psu.edu

Research Areas:
1. Statistical Modelling of Transportation Systems
2. Vehicular Communication Networks
3. Combinatorial Optimization Problems in Transportation Systems

Jing Xun

Associate Editor

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.

For more information see webpage: http://faculty.bjtu.edu.cn/8500/
Contact: jxun@bjtu.edu.cn

Research Areas:
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

Jonathan Li

Associate Editor

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).

For more information see webpage: https://uwaterloo.ca/mobile-sensing/
Contact: junli@uwaterloo.ca

Research Areas:
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

Associate Editor

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.

Research Areas
1. Autonomous Vehicles
2. Vehicular Communications
3. Intelligent Control

Jose M. Alvarez

Associate Editor

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.

For more information see webpage: http://www.josemalvarez.net
Contact: jose.alvarez@nicta.com.au

Research Areas
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

Jo�o P. S. Catal�o

Associate Editor

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.

Research Areas:
1. Sustainable and Green Mobility
2. Electric and Hybrid Electric Vehicles
3. Expert Systems and Intelligent Agents
4. Smart Cities and Smart Grids

Jun Li

Associate Editor

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
Contact: j.li@seu.edu.cn

Research Areas:
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

Associate Editor

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.

For more information, see webpage: http://spa.hanyang.ac.kr
Contact: junwchoi@hanyang.ac.kr

Research Areas:
1. Machine learning for intelligent vehicle
2. Computer vision
3. Sensor fusion
Trajectory prediction and decision making for autonomous driving

Ka-Cheong Leung

Associate Editor

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.

For more information, please refer to the webpage http://faculty.hitsz.edu.cn/liangjiachang?lang=en
Contact: kcleung@ieee.org

Research Areas:
1. Smart Grid and Vehicle-to-Grid
2. Vehicle Platooning
3. Machine learning
4. Future Internet
5. Wireless Communications

Kunfeng Wang

Associate Editor

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.

Research Areas
1. Intelligent visual surveillance
2. Driving environment perception
3. Ego-centric vision
4. Pattern recognition and machine learning

Kyongsu Yi

Associate Editor

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.

Research Areas:
1. Vehicle Dynamics and Control
2. Active Safety and Driver Assistance Systems (ASV, DAS)
3. Autonomous Driving Systems
4. Integratd Chassis Control

Leila Hajibabai

Associate Editor

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/
LinkedIn: https://www.linkedin.com/in/leila-hajibabai-77b2b06/
Contact: lhajiba@ncsu.edu

Research Areas:
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

Associate Editor

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.

Research Areas
1. Traffic Data Analysis, Big Data, Social Transport
2. Traffic Flow Modeling
3. Intelligent Vehicles
4. Driving Behaviors

Lifeng Wang

Associate Editor

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
Email: lifengwang@fudan.edu.cn

Research Areas:
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

Lingxi Li

Associate Editor

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.

For more information see webpage: http://www.engr.iupui.edu/~ll7/
Contact: LL7@iupui.edu

Research Areas:
1. Active Safety Systems
2. Advanced Driver Assistance Systems
3. Traffic Systems Modeling, Control, and Optimization
4. Human Factors

Liuqing Yang

Associate Editor

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

For more information see webpage: http://www.engr.colostate.edu/~lqyang/
Contact: lqyang@engr.colostate.edu

Research Areas
1. Vehicular Communications
2. Intelligent Transportation Systems
3. Communications-enabled Road and Vehicle Safety
4. Networking and Smart Grid

Long Chen

Associate Editor

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.

For more information see webpage:
http://www.carlib.net
Contact: lchen.whu@gmail.com

Research Areas:
1. Autonomous Driving
2. Connected and Automated Vehicles
3. Video/Image Content Understanding
4. Machine Learning

Luis M. Bergasa

Associate Editor

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.

Research Areas
1. Perception for autonomous vehicles
2. Driver behaviors understanding
3. Camera-based sensing for Advanced Driver Assistant Systems
4. Scene Understanding

Mahmoud Mesbah

Associate Editor

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.