PUBLICATIONS

T-ITS Editorial Board  [L - Z]

Der-horng Lee

Professor Lee Der-Horng is an associate professor at the Department of Civil Engineering, National University of Singapore (NUS). Professor Lee was graduated from University of Illinois at Chicago (UIC) with his PhD degree in Civil Engineering in 1996. Prior Professor Lee was recruited to NUS as an Assistant Professor in 1999, he worked in Oak Ridge National Laboratory (ORNL) of the US Department of Energy (DOE) as a Research Fellow from 1996 to 1997 and a Researcher at the Institute of Transportation Studies at the University of California at Irvine (UCI) from 1997 to 1999. From 2004 to 2006, Professor Lee served as the Degreed Program Director of The Logistics Institute – Asia Pacific (TLI-AP), a collaborative effort between NUS and Georgia Institute of Technology (Georgia Tech) in the areas of global logistics and supply chain management. Professor Lee’s expertise includes Intelligent Transportation Systems (ITS), airport development and management, container port operations, transportation planning and development, etc. Professor Lee has authored more than 200 referred journal articles, book chapters, books, and conference papers detailing his research activities.
Professor Lee is an editor for IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Automation Science and Engineering. He also serves as a member of Editorial Advisory Board for six other international referred journals including Transportation Research Part C: Emerging Technologies (Elsevier), Transportation Research Part E: Logistics and Transportation Review (Elsevier), ASCE (American Society of Civil Engineers) Journal of Urban Planning and Development, International Journal of Sustainable Transportation (Taylor & Francis), International Journal of ITS Research (published by ITS Japan), and Journal of Remanufacturing (Springer).
Professor Lee is well-known in the international academic community of transportation and logistics. Bilingual in Mandarin and English and familiar with eastern and western cultures, Professor Lee has been frequently consulted by local and international medias, multinational corporations, financial institutions, think tanks, non-government organizations, and government agencies for policy, strategic, technical and managerial matters and issues in the areas of transportation and logistics.

Li Li

L. Li (S’05 M’06) received his Ph.D. degree in Systems and Industrial Engineering from the University of Arizona, Tucson, USA in 2005. He is currently an Associate Professor at Department of Automation, Tsinghua University, Beijing, China, working in the fields of complex and networked systems, intelligent control and sensing, intelligent transportation systems and intelligent vehicles.

Lingxi Li

Dr. Lingxi Li received his Ph.D. degree in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign in 2008.
Since August 2008, he has been with the Department of Electrical and Computer Engineering at Indiana University-Purdue University Indianapolis (IUPUI), where he is now an Assistant Professor. Since October 2008, he has also been with the Transportation Active Safety Institute (TASI) at IUPUI.
His research interests include modeling, diagnosis, and control of complex systems; fault-tolerant systems; discrete event systems; graph theory; and their applications to intelligent transportation systems, power systems, communication networks, and biological systems.
Dr. Li is currently serving as a reviewer/guest reviewer for a number of international journals and as a program committee member/program co-chair for several international conferences.

Shengbo Eben Li

Shengbo Eben Li is an associate professor in Department of Automotive Engineering at Tsinghua University. He received the M.S. and Ph.D. degrees from Tsinghua University in 2006 and 2009. He worked at Stanford University in 2007, University of Michigan from 2009 to 2011, and University of California, Berkeley, in 2015. His active research interests include powertrain energy management, battery modeling and control, optimal and distributed control/estimation, connected and automated vehicles, driver behavior and assistance, etc. He is the author of about 110 journal/conference papers (including >50 Journal papers in English, and >20 in IEEE transactions), and the inventor of over 20 patents. Dr. Li was the recipient of the Distinguished Doctoral Dissertation of Tsinghua University (2009), Award for Science and Technology of China ITS Association (2012), Award for Technological Invention in Ministry of Education (2012), National Award for Technological Invention in China (2013), Honored Funding for Beijing Excellent Youth Researcher (2013), NSK Sino-Japan Outstanding Paper in Mechanical Engineering (2014/2015), Best Student Paper Award in 2014 IEEE Intelligent Transportation System Symposium (as student advisor), Top 10 Distinguished Project Award of NSF China (2014), Best Paper Award in 14th ITS Asia Pacific Forum (2015), Yangtze River–Excellent Young Professor (2016), Excellent Young Scholar of NSF China (2016), etc. He also served as the Associate editor of IEEE Intelligent Vehicle Symposium (2012/2013), Chairman of organization committee of China ADAS symposium (2013), Member of ISC of FASTzero’17 in Japan (2017), Chairman of Local Committee of AVEC 2018, CMES Senior Member, IEEE Senior Member, etc.

For more information see webpage:

[1]Personal webpage at Tsinghua University

http://www.tsinghua.edu.cn/publish/dae/4364/2013/20130102134234810886442/20130102134234810886442_.html

[2] Other webpages in English

https://scholar.google.com/citations?user=Dxiw1K8AAAAJ&hl=en&oi=aohttps://www.researchgate.net/profile/Shengbo_Li

Contact email: lisb04@gmail.com,  lishbo@tsinghua.edu.cn

Research Areas (LIST 4 AREAS WITH HIGHEST PRIORITY 1):

1. Battery modeling and state estimation for EV/HEV, configuration optimization and energy management of electrified powertrain

2. Optimal control and estimation, distributed control and filtering for ground vehicle and road traffic

3. Driver behavior analysis and driver assistance for better safety and fuel efficiency

4. Automated vehicle control, platoon control and cooperative road-vehicle control

Zhiheng Li

Zhiheng Li is an associate professor in department of Automation, Tsinghua University. He received his PHD degree in Control Science and Engineering from Tsinghua University. He also holds the M.S. degree from Beijing Jiaotong University. He focuses his interest on the design and development of intelligent traffic signal control systems, which must meet the mixed traffic flow and saturated traffic states in China. He has published more than 30 papers in various areas of traffic control and management, including IEEE transaction on ITS, Transportation Research Board etc. He is the associate editor of IEEE Transactions on Intelligent Transportation Systems and member of Editorial Board of International Journal of Intelligent Transportation System Research. He is also the Consultant for traffic management of 29th Olympic Game in Beijing. He received the first prize of “National Award for Science and Technology Progress 2009” for his contribution to the project “Urban Traffic Control and Management System”.

Wei-Hua Lin

Wei-Hua Lin received the B.S. degree from Brigham Young University, the M.S. degree from Rensselaer Polytechnic Institute, and the Ph.D. degree from the University of California at Berkeley. He is currently an associate professor at the Department of Systems and Industrial Engineering of the University of Arizona. He has worked as a postdoctoral researcher at the PATH program of the University of California at Berkeley. His research interests are optimization in the intelligent transportation systems, logistics, and transportation network analysis.

Weiyao Lin

Weiyao Lin is an Associate Professor with the Department of Electronic Engineering, Shanghai Jiao Tong University, China. He received the B.E. and M.E. degrees from Shanghai Jiao Tong University, China, in 2003 and 2005, and the Ph.D degree from the University of Washington, Seattle, USA, in 2010, all in electrical engineering. He has authored or coauthored 100+ technical papers on top journals/conferences including TPAMI, IJCV, TIP, TMM, TCYB, TCSVT, CVPR, ACM MM, and ICCV. He holds 11 patents and has 10+ under reviewing patents. His research interests include intelligent video surveillance, trajectory analysis & traffic control, and video/image processing applications. Dr. Lin served as an associate editor for Journal of Visual Communication and Image Representation, Signal Processing: Image Communication, Circuits Systems and Signal Processing, and IEEE Access. He is an organizing committee chair of International Conference on Image and Graphics (ICIG) 2017, a general chair of the Emerging Multimedia Systems and Applications workshop in conjunction with ICME'2013, an organizer of the Emerging Techniques on Big Surveillance Data Analysis workshop in conjunction with BigMM'2015. He is a senior member of IEEE.

For more information see webpage: http://wylin2.drivehq.com

Contact: wylin@sjtu.edu.cn

Research Areas :

      1. Video surveillance

      2. Video/Image Content Understanding

      3. Visual Object Detection and Tracking

      4. Trajectory Analysis

Hans van Lint

Dr. Hans van Lint received both his Msc (Civil Engineering) and PhD (in Transportation) at TU Delft and specializes in traffic flow theory & control, traffic estimation and prediction, intelligent transport systems and advanced data assimilation and artificial intelligence techniques applied to transport problems. After receiving his Msc, Van Lint worked as a software engineer,consultant and project manager in industry and at the Municipality of Rotterdam and returned to academia in 2001, where he is currently affiliated as Associate Professor at the Transport & Planning department, Faculty of Civil Engineering, Delft University of Technology (TU Delft) and as Director of Education of the Msc Transport, Infrastructure and Logistics at TU Delft.

Mauro Da Lio

Mauro Da Lio (M’08) is a Professor of mechanical systems with the Department of Industrial Engineering, University of Trento, Trento, Italy. He received the “Laurea” Degree in mechanical engineering from the University of Padova, Italy, in 1986. He then was employed with an off-shore oil research company (ENI group) working in underwater robotics for an EU EUREKA project for three years. He moved to the University of Padova as a “Researcher” (assistant professor) in 1990. His initial research focus was on modeling and simulation of multibody mechanical systems, and, following, in vehicle dynamics and optimal control of vehicles; in particular motorcycles. He moved to the University of Trento as Associate Professor in 1998 and became Professor in 2001. His research focus shifted to the modeling of human sensory–motor control, motivated by drivers (but also including people with motor diseases like Parkinson’s’ Disease). Related to this, his research was addressed to the engineering of artificial cognitive systems and robots capable of cooperating with humans and mirroring human behaviors; in particular artificial co-drivers.

He has been involved in several EU framework programme 6 and 7 projects (PReVENT, SAFERIDER, interactIVe, VERITAS, adaptIVe, and NoTremor), developing and carrying out experiments with various types of Driver Assistance Systems and Human-System interactions.

More recently he became the coordinator of the EU Horizon2020 project Dreams4Cars, for developing artificial driving system capable of off-line learning by means of dream-like simulation states. He served the EU Commission as a reviewer and the T-ITS as associate editor.

Contact: mauro.dalio@unitn.it

Research Areas (LIST MAX 4 AREAS WITH 1 FIRST PRIORITY ETC) :

      1. Advanced Drivers Assistance Systems

      2. Automated Driving

      3. Vehicle Dynamics and Control

      4. Robotics and Human-Robot Interactions

David Llorca

Dr. David F. Llorca received the MSc and PhD degrees in Telecommunication Engineering from the University of Alcalá (UAH), Madrid, Spain, in 2003 and 2008 respectively. He is currently working as Associate Professor at the Computer Engineering Department at UAH. His research interests are mainly focused on computer vision, intelligent transportation systems, intelligent vehicles and advanced driver assistance systems. He is co-author of more than 60 publications in international refereed journals and conferences, and co-inventor in more than 10 patents.
Dr. Llorca was the recipient of the Best PhD Award by the UAH in 2008, the Best Research Award in the domain of Automotive and Vehicle Applications in Spain in 2008, the 3M Foundation Awards under the category of eSafety in 2009, the Master Thesis Award in eSafety from ADA Lectureship at the Technical University of Madrid in 2004, and the Best Telecommunication Engineering Student Award by IVECO in 2004.

Yisheng Lv

Yisheng Lv is an Associate Professor with the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. He received the B.E. and M.E. degrees from Harbin Institute of Technology, Harbin, China, in 2005 and 2007, respectively, and the Ph.D. degree in control theory and control engineering from Institute of Automation, Chinese Academy of Sciences, His research interests include deep learning & machine learning in transportation, artificial intelligence, parallel transportation systems, traffic data analysis, traffic prediction, and traffic signal control. He is the author/coauthor of over 50 papers. He received the 2015 IEEE ITS Outstanding Application Award. He is a member of Editorial Board of Acta Automatica Sinica.

For more information please see webpage: http://people.ucas.ac.cn/~lvyisheng

Contact: yisheng.lv@ia.ac.cn

Research Areas :

      1. Artificial Intelligence for Transportation

      2. Traffic Data Analysis

      3. Traffic Prediction

      4. Traffic Signal Control

Dr. Ma

Dr. Ma is an associate Professor in the school of transportation science and engineering at Beihang University. He received his Ph.D. degree from University of Washington, Seattle in 2013. His research areas mainly lie in urban transit system operation and planning, datadriven
transportation network modeling and transportation data mining. To date, he has published over 70 articles in peer-reviewed journals and conferences. He is currently serving as an active reviewer for more than 40 journals, and as a member of the TRB Artificial Intelligence and Advanced Computing Applications Committee.

Dr. Ma has been appointed as the associate editors of IET Intelligent Transport Systems and PLOS ONE. He also received several awards including Young Elite Scientist Sponsorship Program by the CAST, Beijing Outstanding Youth Talent Program, and Beijing Nova Program.

For more information please see webpage: https://www.trevorma.com

Contact: xiaolei@buaa.edu.cn

Research Areas (LIST MAX 4 AREAS WITH 1 FIRST PRIORITY ETC):

      1. Public Transportation

      2. Transportation Big Data Analytics

      3. Traffic Prediction

      4. Transportation Network Modeling

Reza Malekian

Reza Malekian, PhD. CEng. FBCS, is an Associate Professor and Head of Advanced Sensor Networks Research Group at the Department of Electrical, Electronic and Computer Engineering, University of Pretoria. Before joining the University of Pretoria he was with the University of St. Paul the Apostle in Macedonia. Having many years’ experience in teaching and research in both the university and the industry sectors, he has maintained an active research programme and provided supervision and mentorship to several master’s and doctoral students, as well as postdoctoral fellows, under industry and government funding. Dr. Malekian’s research focuses on the Internet of Things (IoT) and sensors technologies in intelligent transportation systems. He has published over 100 scholarly articles, conference papers, and book chapters and some of his articles are highly cited on the Web of Science and ranked among the top 1% based on the highly cited threshold  for the academic field. He is registered as a chartered engineer with the Engineering Council of UK, a senior member of the IEEE, and Fellow of the British Computer Society. He serves as an associate editor for the IEEE Internet of Things Journal and IET Networks.

For more information please see webpage: http://www.up.ac.za/en/eece/article/1952661/prof-r-malekian-reza

Contact: reza.malekian@ieee.org

Research Areas:

      1. Connected vehicles

      2. Vehicle platooning

      3. Traffic Flow Modeling and road safety

      4. Vehicular networks

Andreas A. Malikopoulos

Andreas A. Malikopoulos is a Professor of Mechanical Engineering at the University of Delaware (UD) and Director of the Information and Decision Science Laboratory. Before he joined UD, he was the Deputy Director and the Lead of the Sustainable Mobility Theme of the Urban Dynamics Institute at Oak Ridge National Laboratory, and a Senior Researcher with General Motors Global Research & Development. He received a Diploma in Mechanical Engineering from the National Technical University of Athens, Greece, in 2000, and M.S. and Ph.D. degrees from the Department of Mechanical Engineering at the University of Michigan, Ann Arbor, in 2004 and 2008, respectively,
Dr. Malikopoulos is one of the Vice Chairs of International Federal of Automatic Control (IFAC) Technical Committee on Smart Cities. He has been selected by the National Academy of Engineering to participate at the 2010 German-American Frontiers of Engineering (FOE) and co-organize a session in transportation at the 2016 European-American FOE Symposia. He has also been selected as a 2012 Kavli Frontiers of Science Scholar by the National Academy of Sciences.

For more information please see webpage: http://sites.udel.edu/ids-lab/
Contact: andreas@udel.edu

Research Areas:

      1. Connected and automated vehicles

      2. Decentralized stochastic control

      3. Smart cities

      4. Hybrid electric vehicles

Guoqiang Mao

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 please 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

Zhihong Mao

Dr. Mao is an Associate Professor in the Departments of Electrical and Computer Engineering and Bioengineering at the University of Pittsburgh, Pittsburgh, USA. He received his dual Bachelor’s degrees in automatic control and applied mathematics in 1995 and M.Eng. degree in intelligent control and pattern recognition in 1998 from Tsinghua University, Beijing, China, and S.M. degree in aeronautics and astronautics in 2000 and Ph.D. degree in electrical and medical engineering in 2005 from Massachusetts Institute of Technology, Cambridge, USA. He was a recipient of the NSF CAREER Award in 2010, Andrew P. Sage Best Transactions Paper Award of the IEEE Systems, Man and Cybernetics Society in 2010, and Outstanding Educator Award of Pitt Swanson School of Engineering in 2009. His research interests include control of networked and large-scale systems.

Javier Jesús Sánchez Medina

Javier Jesús Sánchez 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 Traffic Microsimulation 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 Computing to 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 international conferences related to Intelligent Transportation, Computer Science, Evolutionary Computation, etc. He is reviewer and international program committee member for some Transportation related IEEE and non-IEEE journals. He is also very active as a volunteer in the ITS Society, including responsibility posts.

He has widely published his research with more than 30 international conference articles, more than 20 international journal articles and 3 research book chapters. He has also being keynote speaker at two conferences (ANT2017, SOLI2017) and distinguished lecturer at the IEEE ITSS Tunisian Chapter in November, 2016.

For more information please see webpage: https://www.researchgate.net/profile/Javier_Sanchez-Medinahttp://orcid.org/0000-0003-2530-3182C

Contact: javier.sanchez.medina@ieee.orgjavier.sanchez@ulpgc.es

Research Areas :

      1. Artificial Intelligence and Machine Learning

      2. Data Mining and Data Stream Mining

      3. Traffic Modelling, and Control

Monica Menendez

Monica Menendez is, since 2010, the Director of the research group Traffic Engineering at ETH Zurich. Prior to that, she was a Management Consultant at Bain & Company. She joined Bain after receiving a Ph.D. and a M.Sc. in Civil and Environmental Engineering from UC Berkeley in 2006. During her studies there she received, among other awards, an NSF Fellowship and the Gordon F. Newell Award. In total, she is the recipient of more than 20 scholarships and awards from well-known and prestigious organizations, professional societies, and universities. Menendez also holds a dual degree in Civil Engineering and Architectural Engineering from the University of Miami, from where she graduated Summa Cum Laude in 2002. She is the author/co-author of over 40 peer-review journal articles and over 100 conference contributions.

For more information please see webpage: http://www.ivt.ethz.ch/en/people/person-detail.html?persid=176510

Contact: monica.menendez@ivt.baug.ethz.ch

Research Areas :

      1. Traffic Flow Theory

      2. Multimodal Transportation

      3. Urban Traffic Monitoring, Modeling, and Simulation

      4. Connected and Automated Vehicles

Mahmoud Mesbah

Mahmoud Mesbah is a Faculty Member at Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic). He has a BSc in Civil Engineering from the University of Tehran, and an MSc in Transportation Planning from Iran University of Science and Technology. He received his PhD from Monash University in 2011. He held academic positions of Lecturer and Senior Lecturer at Group of Eight Universities in Australia before joining AUT. He has published more than 70 papers in scholarly peer reviewed forums.

For more information please see webpage: http://civil.aut.ac.ir/Default,en-US,Civil,Content,SubSiteDetail,ID,160.aspx

Contact: mmesbah@aut.ac.ir

Research Areas :

      1. Public Transport Modeling and Operations

      2. Travel Survey Methods

      3. Transportation Planning

      4. Network Optimization

José E. Naranjo

José E. Naranjo received the Ms. Eng. degree in Computer Engineering in 1998 from the Technical University of Madrid (UPM), Madrid, Spain, and the PhD degree in Computer Science and Artificial Intelligencefrom the UPM in 2005.Dr. Naranjo also received the Best Dissertation Award in 2005 by UPM and by the CEA-IFAC.From 1999 to 2007, he was with the Industrial Automation Institute (Spanish Research Council), Madrid, focusing his research in autonomous driving. From 2007, he is Associate Professor of the Technical University of Madrid and from 2011 he is also Researcher at the University Institute of Automobile research (INSIA), becoming part of the Region ofMadrid Excellence Group Safety in Automobile Vehicles.Dr. Naranjo has participated in more than 40 research and innovation projects in the field of Intelligent Transportation Systems and is author of more than 100 publications and patents. His research interests include intelligent systems, intelligent and autonomous vehicles, fuzzy logic control,intelligent transport systems, usability, and accessibility.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 Framework Program.

Fawzi Nashashibi

Fawzi Nashashibi, 50 years, is a Research Director, head of RITS Team at INRIA (Paris) since 2010. He has been senior researcher and Program Manager in the robotics center of Mines ParisTech since 1994. He was previously a technical manager at Light Co. (Virtual/Augmented Reality) for multimedia applications and movie making (post-production).
Fawzi Nashashibi obtained a Master’s Degree in Automation, Industrial Engineering and Signal Processing (LAAS/CNRS) in 1989, a PhD in Robotics from Toulouse University prepared in (LAAS/CNRS) laboratory in 1993, and a HDR Diploma (Accreditation for research supervision) from University of Pierre et Marie Curie (Paris 6) in 2005.
He played key roles in more than 50 European and national French some of which he has coordinated.
He is also involved in numerous collaborations with French and international academics and industrial partners worldwide and he is also involved in several international Chairs.
He is author of more than 150 publications and patents in the field of ITS and ADAS systems.
From 1994 to 2016 he was the thesis director and supervisor of 30 PhD theses, and he was a PhD and HDR jury member of 57 PhD theses and HDR committees. He was also member of several laboratories evaluation committees and helped in the evaluation of French and European research projects.
Since 1994 he is also a lecturer in several universities in Paris (Mines ParisTech, Paris 8 Saint-Denis, Telecom Sud Paris, INT Evry, …) in the fields of image and signal processing, 3D perception, 3D infographics.
IEEE fellow, he is also member of the IEEE ITS and Robotics & Automation Societies. He is an Associate Editor of several IEEE international conferences and member of the TRB AHB30 committee dedicated to Vehicle-Highway Automation.
Since December 2015 Fawzi Nashashibi was the co-founder of AutoKAB.

For more information see webpage:

https://team.inria.fr/rits/membre/fawzi-nashashibi/
Contact: Fawzi.Nashashibi@inria.fr

Research Areas (LIST 4 AREAS WITH 1 FIRST PRIORITY ETC) :

      1. Autonomous vehicle navigation, perception and control

      2. Cooperative driving

      3. Multi-sensor fusion

      4. Localization and mapping

Sergiu Nedevschi

Sergiu Nedevschi received his MS degree in Electrical Engineering in 1975, and his PhD in Electrical Engineering in 1993 from Technical University of Cluj-Napoca, Romania. From 1976 he worked for the Research Institute for Computer Technologies from Cluj-Napoca and from 1983 for the Technical University of Cluj-Napoca. In 1998 was appointed Professor in Computer Science and founded the Image Processing and Pattern Recognition Research Laboratory at the same university. Between 2000–2004, he held the position of Head of Computer Science Department and since 2004 has become the Dean of Faculty of Automation and Computer Science. His research interests include image processing, pattern recognition, computer vision, stereovision, intelligent vehicles and driving assistance systems. He has lead more than 50 research projects and published more than 200 papers. Since 2001, he has coordinated a series of research contracts funded by Volkswagen AG, in the field of Stereovision for Driving Assistance and Autonomous Driving. He is also involved in several EU projects such as the Cooperative Intersection Safety (INTERSAFE 2). He is currently the main organizer of the IEEE Intelligent Computer Communication and Processing Conference (ICCP).

Cristina Olaverri

Cristina Olaverri Monreal graduated with a Master’s degree in Computational Linguistics, Computer Science and Phonetics from the Ludwig-Maximilians University (LMU) of Munich, and received her PhD in cooperation with BMW. She is currently a senior scientist with the Austrian Institute of Technology, Vienna, Austria, where she leads the mobile team and a lecturer at the University of Applied Sciences Technikum Wien. Her research aims to minimize the barrier between users and systems in complex, dynamic scenarios that are critical to decision-making processes, such as driving a vehicle and innovative forms of mobile and ubiquitous interaction approaches to human mobility. Additionally, Dr. Olaverri’s research interests lie in the overall efficiency of user and vehicular multi-functional systems utilization, Human Factors and Human Machine Interaction in a vehicular context, driver behavior, simulation tools and research concerning Intelligent Transportation Systems (ITS).
Previous to this position she was with the Institute of Ergonomics, Technische Universität München (TUM) and with the Instituto de Telecomunicações, University of Porto. Additionally, she worked at the University of California at Davis, SDL International and Lionbridge Technologies at Boulder, Colorado, USA.
Dr. Olaverri has been engaged as member of technical committees and referee for international conferences on Intelligent Transportation Systems and as a co-organizer of scientific events. She is the chair of the Technical Activities Committee (TC) on Human Factors in Intelligent Transportation Systems, HFITS – a sub-committee of the IEEE Intelligent Transportation Systems Society and has additionally been guest editor for the Special Issue on “Human Factors in Intelligent Vehicles” (HFIV) of IEEE Transactions on Intelligent Transportations Systems (IEEE T-ITS). She is currently the editor of the ITS Research Lab Spot Light column of the IEEE ITS Magazine, Program Co-Chair for the IEEE Intelligent Transportation Systems Conference 2015, general chair and (co-)organizer of the Human Factors in Intelligent Vehicles Workshop within the Intelligent Vehicles Symposium (HFIV’12, HFIV’13, HFIV’14, HFIV’15,) and from 2015, member of the Board of Governors (BoG) of the IEEE Intelligent Transportation Systems Society (ITSS).

Christos G. Panayiotou

Christos G. Panayiotou is an Associate 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

Nikolaos Papanikolopoulos

Nikolaos Papanikolopoulos received his Ph.D. in electrical and computer engineering from Carnegie Mellon University, Pittsburgh, PA, in 1992. Currently, he is a Professor in the Department of Computer Science at the University of Minnesota and Director of the Center for Distributed Robotics. His research interests include robotics, sensors for transportation applications, control, and computer vision. He has authored or coauthored more than 180 journal and conference papers in the above areas (forty one refereed journal papers). He was finalist for the Anton Philips Award for Best Student Paper in the 1991 IEEE Int. Conf. on Robotics and Automation and recipient of the best Video Award in the 2000 IEEE Int. Conf. on Robotics and Automation. He was a McKnight Land-Grant Professor at the University of Minnesota for the period 1995-1997 and has received the NSF Research Initiation and Early Career Development Awards. One of his papers (co-authored by O. Masoud) was awarded the IEEE VTS 2001 Best Land Transportation Paper Award.

Vincenzo Punzo

Vincenzo Punzo received the M.Sc. degree in civil engineering in 1998 and the Ph.D. degree in transportation engineering in 2002, from the University of Naples Federico II, Italy.He has been Assistant Professor in the same University from 2005 to 2011, and Senior Researcher at the European Commission Joint Research Centre, Ispra, Italy, from 2011 to 2013. Currently Dr. Punzo is Associate Professor with the Department of Civil, Building and Environmental Engineering of the University of Naples Federico II. His research interests include traffic flow theory, the modelling of road and rail transport systems, intelligent transportation systems (ITS), driving simulation and road safety, reflected by more than 70 papers in peer reviewed journals and conference proceedings and by the participation to numerous national and international research projects. Among these, he recently chaired the EU COST Action TU0903 – MULTITUDE, on the topic of the management of uncertainty in traffic simulation. Dr. Punzo is an editorial board member of Transportation Research – part C and of the International Journal of Transportation, and a Member of the Transportation Research Board’s Traffic Flow Theory and Characteristics Committee (AHB45). Recently, he has been recipient of the 2012 Greenshields Prize awarded by the TRB, and of the 2013 Best Simulation paper award by the TRB’s Traffic Simulation Subcommittee.

Fengzhong Qu

Fengzhong Qu received his B.S. and M.S. degrees from Zhejiang University, Hangzhou, China, in 2002 and 2005, respectively, both in Electrical Engineering. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Florida, Gainesville, in 2009. From 2009 to 2010, he was an adjunct research scholar with the Department of Electrical and Computer Engineering at the University of Florida. Since 2011, he has been with the Ocean College at Zhejiang University, Hangzhou, China, where he is presently an Associate Professor and Associate Chair of the Institute of Marine Information Science and Engineering. His current research interests include intelligent transportation systems, communications, and signal processing.

Hesham Rakha

Hesham Rakha(M’04) received his B.Sc. (honors) degree in civil engineering from Cairo University, Egypt in 1987 and his M.Sc. and Ph.D. degrees in civil and environmental engineering from Queen’s University in Kingston, Canada in 1990 and 1993, respectively.
He is a Professor at the Charles E. Via, Jr. Department of Civil and Environmental Engineering at Virginia Tech and the Director of the Center for Sustainable Mobility at the Virginia Tech Transportation Institute, both in Blacksburg, Virginia. His main areas of research include traffic flow theory, traffic modeling and simulation, dynamic traffic assignment, traffic control, transportation related energy and environmental modeling, and safety modeling.
Dr. Rakha has been an Associate Editor of the IEEE ITS Journal since 2009. He is a Professional Engineer in Ontario and is a member of the Institute of Transportation Engineers (ITE), the American Society of Civil Engineers (ASCE), the Institute of Electrical and Electronics Engineers (IEEE), and the Transportation Research Board (TRB). Dr. Rakha has authored/co-authored approximately 160 refereed publications, of which 83 are fully refereed journal publications.

Rosaldo Rossetti

Dr. Rosaldo Rossetti (S’00–A’03–M’04) joined the Faculty of Engineering at University of Porto, Portugal, as assistant professor in 2006, initially in the Informatics Section of the Department of Electrical and Computer Engineering. As of January 2008, however, he moved to the recently created Department of Informatics Engineering. He is also a research fellow at the Artificial Intelligence and Computer Science Lab. (LIACC), within the distributed AI and robotics group, at the same University. Dr. Rossetti received the B.Eng. (Hons) degree in civil engineering from UFC, in 2005, and both the M.Sc. and Ph.D. degrees in computer science from UFRGS, Brazil, in 1998 and 2002, respectively. He carried out most of his doctoral research as a full-time Ph.D. research student at Leeds University’s Institute for Transport Studies, Leeds, UK, within the Network Modelling Group.
Dr. Rossetti has been actively engaged as member of technical committees and as co-organiser of many scientific events related to AI, MAS, and ITS, and served as reviewer for journals such as the IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Transportation Research Part C, the Journal of the American Society of Civil Engineering, the Transactions of SCS International, and the Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. As of 2013, he is the ITS department editor of IEEE INTELLIGENT SYSTEMS, and has served as associate editor of IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS since 2011. He is currently a member of the IEEE ITS Society’s Board of Governors for the term 2011–2013, and a Co-chair of the IEEE ITS Society’s Technical Activities Committee on Artificial Transportation Systems and Simulation. Besides IEEE, he is also an active member of ACM, APPIA, and AISTI.
Dr. Rossetti’s main research interests generally include complex systems analysis, systems optimization, computer simulation, AI, and multi-agent systems (MAS). Currently, he is focusing on the application of AI techniques to tackle engineering problems, especially on using MAS-based simulation as a modelling metaphor to address issues in Intelligent Transportation Systems and urban mobility in general. Some of his ongoing projects are related to modelling and architectural issues of Artificial Transportation Systems, activity-based analysis of travel demand using MAS, AI techniques to implement optimised distributed traffic control and management, and simulators interoperability.

Bart De Schutter

Bart De Schutter received the degree in electrotechnical-mechanical engineering in 1991 and the doctoral degree in Applied Sciences (summa cum laude with congratulations of the examination jury) in 1996, both at K.U.Leuven, Belgium. Currently, he is associate professor at the Delft Center for Systems and Control of Delft University of Technology in Delft, The Netherlands. Bart De Schutter was awarded the 1998 SIAM Richard C. DiPrima Prize and the 1999 K.U.Leuven Robert Stock Prize for his PhD thesis. His current research interests include traffic control, control of large-scale transportation networks, hybrid systems control, multi-agent systems, and optimization.

Yong-Duan Song

Prof. Yong-Duan Song received his Ph.D. degree in electrical and computer engineering from Tennessee Technological University, Cookeville, USA,in 1992. He held a tenured Full Professor position with North Carolina A&T State University, Greensboro, from 1993 to 2008 and a Langley Distinguished Professor position with the National Institute of Aerospace, Hampton, VA, from 2005 to 2008. He is now the Dean of School of Automation, Chongqing University, and the Founding Director of the Institute of Smart Systems and Renewable Energy, Chongqing University. Prof. Song has received several competitive research awards from the National Science Foundation, the National Aeronautics and Space Administration, the Army Research Office, and the Office of Naval Research. His research interest covers control theory with application to transportation systems, power systems and others.

Miguel Ángel Sotelo

Miguel Ángel Sotelo received the Dr. Ing. degree in Electrical Engineering in 1996 from the Technical University of Madrid, the Ph.D. degree in Electrical Engineering in 2001 from the University of Alcalá, Alcalá de Henares, Madrid, Spain, and the Master in Business Administration (MBA) from the European Business School in 2008. From 1993 to 1994 he has been a Researcher at the Department of Electronics, University of Alcala, where he is currently an Associate Professor. His research interests include Real-time Computer Vision and Control Systems for Autonomous and Assisted Intelligent Road Vehicles, as well as Vehicle-Infrastructure cooperation. He has been recipient of the Best Research Award in the domain of Automotive and Vehicle Applications in Spain, in 2002 and 2009, and the 3M Foundation Awards in the category of eSafety in 2003 and 2004. He is a member of the Editorial Board of The Open Transportation Journal. Since 2004, he serves as Auditor and Expert at FITSA Foundation for RTD Projects in the domain of automotive applications. In 2005, he became member of the ITS-Spain Committee. Dr Sotelo has served as Project Evaluator and Reviewer for the European Commission in the field of ICT for Intelligent Vehicles and Cooperative Systems in the VI and VII Marco Program. He is co-founder and Administrator of Vision Safety Technologies Ltd, a spin-off company established in 2009 to commercialize computer vision systems for road infrastructure inspection.

Dengfeng Sun

Dengfeng Sun is an Associate Professor of Aeronautics and Astronautics at Purdue University, West Lafayette, Indiana, and a Director of the FAA Consortium in Aviation Operations Research (NEXTOR II). Before joining Purdue University, he was an Associate Scientist at NASA Ames Research Center. He received his PhD degree from University of California at Berkeley in 2008, a MS degree from the Ohio State University in 2002, and his BS degree from Tsinghua University, China, in 2000. He is a member of the AIAA Technical Committee on Guidance, Navigation, and Control, a Senior Member of AIAA, and a Member of IEEE.

He is the author/coauthor over 100 papers in control and optimization algorithms and their applications in transportation engineering and aerospace engineering.

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

Contact: dsun@purdue.edu

Research Areas:

      1. Air Transportation System

      2. Air Traffic Control and Traffic Flow Management

      3. Unmanned Aerial Vehicle System

      4. Convex Optimization in Transportation Engineering

Stelios Timotheou

Stelios Timotheou is an Assistant Professor at the Department of Electrical and Computer Engineering and a faculty member of the KIOS Research and Innovation Center of Excellence of the University of Cyprus. He holds a Dipl-Ing in Electrical and Computer Engineering (Summa Cum Laude, 2005) from the National Technical University of Athens, an MSc in Communications and Signal Processing (Distinction, 2006) and a PhD in Intelligent Systems and Networks (2010), both from the Department of Electrical and Electronic Engineering of Imperial College London. In previous appointments, he was a Research Associate at the KIOS Center of Excellence, a Visiting Lecturer at the Department of Electrical and Computer Engineering of the University of Cyprus, and a Postdoctoral Researcher at the Computer Laboratory of the University of Cambridge. Stelios has over 70 journal and conference peer-reviewed papers and book chapters published to date. He is a Senior Member of the IEEE, and a member of the ACM and the Technical Chamber of Cyprus. Stelios is the recipient of the 2017 ‘Cyprus Young Researcher in Physical Sciences & Engineering’ Award, by the Cyprus Research Promotion Foundation.

For more information see webpage: http://www.eng.ucy.ac.cy/stimotheou/

Contact: stimo@ucy.ac.cy

Research Areas:

      1. Network-wide traffic optimization

      2. Traffic state estimation

      3. V2V and V2I communications

      4. Fault diagnosis in ITS

Shiliang Sun

Shiliang Sun received the B. E. degree with honors in Automatic Control from the Department of Automatic Control, Beijing University of Aeronautics and Astronautics, and the M. E. and Ph.D. degrees with honors in Pattern Recognition and Intelligent Systems from the Department of Automation, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University. In 2004, he was awarded Microsoft Fellowship. In 2007, he joined the faculty of the Department of Computer Science and Technology, East China Normal University, and founded the Pattern Recognition and Machine Learning Research Group. Currently, he is an associate professor and the vice director of the Intelligent Information Processing Lab. From June 2009, he has been a visiting researcher at the Centre for Computational Statistics and Machine Learning, Department of Computer Science, University College London. He is a member of the IEEE, and the PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning) network of excellence.
His research interests include machine learning, pattern recognition, computer vision, brain-computer interfaces and intelligent transportation systems.

Ljubo Vlacic

Professor Ljubo Vlacic is with Griffith University’s School of Engineering and, also, is Director of its Intelligent Control Systems Laboratory. His career has included a number of positions with both industry and academia. This experience includes the design, development, field-testing and deployment of a variety of industrial control & robot systems as well as senior management positions such as, Technical Director, Project Director, Program Director and Head of School.
He graduated from the University of Sarajevo in 1973 (Control) and completed his MPhil and PhD studies in Control in 1976 and 1986 respectively. He also graduated from the Conservatorium of Music, University of Sarajevo and played violin with professional orchestras.
His research interests and contributions to research span the areas of control systems, decision theory, intelligent control and computer & systems engineering; and, the application of these methodologies to industrial automation, mechatronics, intelligent robotics, computer and communication systems, knowledge management and intelligent vehicles & transport systems.
In recognition of his research achievements Professor Vlacic has been awarded: (i) the 2004 IEE Achievement Medal, IEE United Kingdom; (ii) the 2004 Sir Lionel Hooke Award, IEE Australia; (iii) the 2000 Project Excellence Award, Engineers Australia – Queensland; and (iv) was named the 2003 Engineers Australia Queensland Professional Engineer of the Year.
He serves/has served as Associate Editor of: (i) Journal of Intelligent & Robotic Systems (since 2006); (ii) IEEE Transactions on Intelligent Transportation Systems (since 2005); (iii) International Journal of the Korean Society of Precision Engineering (since 2003); (iv) IEEE-CSS, Conference Editorial Board (since 2001); (v) Journal of Robotics and Mechatronics (1998-2003); (vi) Journal of Micromechatronics (since 1998); (vii) the Asian Journal of Control (1998-2001); and (viii) Journal on Information and Management (1995-2000). He has authored/co-authored over 140 journal and conference papers, books and book chapters.
Dr Ljubo Vlacic FIEAust FIET CPEng(Aus) RPEQ(Aus) CEng(UK)

Kunfeng Wang

Kunfeng Wang is an Associate Professor at Institute of Automation, Chinese Academy of Sciences. He received his B.E. degree from Beihang University (BUAA) in 2003, and his Ph.D. degree in Control Theory and Control Engineering from Chinese Academy of Sciences in Beijing, China, in 2008. Since 2007, he leads a team of graduate students and engineers for research and development in embedded traffic video detectors and traffic control systems based on visual feedback. His research interests include intelligent systems, traffic modeling and control, traffic video detection, pattern recognition, and machine learning. He has published more than 30 papers in peer-reviewed journals and conferences, including IEEE T-ITS, IEEE TVT, IEEE IS, IJPRAI, and IEEE ITSC. He has received 12 invention patents in China. He is now serving as Associate Editor of IEEE T-ITS and IEEE ITSC.

Yibing Wang

Dr. Yibing Wang received his Ph.D. degree in Control Theory and Applications from Tsinghua University, China, in 1998. He was a senior researcher with the Dynamic Systems and Simulation Laboratory, Department of Production Engineering and Management, Technical University of Crete, Greece, from 1999 to 2007. He was a Senior Lecturer at the Department of Civil Engineering, Monash University, Australia from 2007 to 2013. He was elected by the Zhejiang QianRen Program in China in 2012, and joined Zhejiang University, China, as a full professor in 2013. His research interests include traffic flow modeling, freeway traffic surveillance, ramp metering, route guidance, urban traffic signal control, vehicular ad hoc networks (VANETs). From 2000 to 2008, he participated in several European projects on freeway traffic surveillance and control, and collaborated with transportation research and practice professionals from Greece, Germany, the U.K., Belgium, Italy, and the Netherlands. In 2012 he was awarded a research grant by the prestigious Discovery program of the Australian Research Council (ARC). Dr. Wang is a member of IEEE, an Associate Editor for the IEEE Transactions on Intelligent Transportation Systems, and an Associate Editor for Transportation Research Part C: Emerging Technologies. He is a member of the Traffic Flow Theory Committee of the Transportation Research Board (TRB) of the US National Academy, a member of the IFAC (International Federation of Automatic Control) Technical Committee on Transportation Systems, and a member of the Advisory Committee of the European Project NEARCTIS (Network of Excellence for Advanced Road Cooperative Traffic management in the Information Society, 2009-2013). He was a Program Co-Chair of the 17th International Conference on Intelligent Transportation Systems (Qingdao, China, 2014), Program Chair of the 13th IEEE International Conference on Intelligent Transportation Systems (Madeira Island, Portugal, 2010), and a vice program chair of the 9th IEEE International Conference on Intelligent Transportation Systems (Toronto, Canada, 2006).

For more information see his university webpage in Chinese:

http://tcrl.zju.edu.cn/news.asp?id=2013-7-8-9-21-86

or the attached file in English.

Contact email: wangyibing@zju.edu.cn

Research Areas (LIST 4 AREAS WITH HIGHEST PRIORITY 1):

      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.

Denis Fernando Wolf

Denis Fernando Wolf is an Associate Professor in Computer Systems Department at the University of Sao Paulo, where he is the founding director of the Mobile Robotics Laboratory.  Professor Wolf received his BSc degree in Computer Science from Federal University of Sao Carlos (Brazil) in 1999 and the PhD degree in Computer Science from the University of Southern California in 2006. His main research interest is the development of robotic systems for field operations. Most of his current work focus on computer vision, sensor fusion and machine learning applied to autonomous robots and vehicles for urban, agricultural and mining applications. He is member of the IEEE ITS society, has co-authored over 100 papers in peer-reviewed journals and conference proceedings, and served as Program Chair of the International Conference on Intelligent Transportation Systems (ITSC) in 2016.

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.

S.C. Wong

Professor S.C. Wong is Associate Dean of Engineering and Chair Professor of Transportation Engineering, and holds Francis S Y Bong Professorship in Engineering, at the University of Hong Kong. He was Head of Department of Civil Engineering from 2011-2017. He received his B.Sc.(Eng.) and M.Phil. degrees from the University of Hong Kong, and Ph.D. from University College London. His research interests include the optimization of traffic signal settings, continuum modeling for traffic equilibrium problems, traffic flow theory, traffic management and control, transportation planning and network modeling, and road safety. He received the Best Paper Award (Editors' Choice, Outstanding Paper) from the ASCE Journal of Transportation Engineering in 2011, and an Outstanding Researcher Award in 2009 and Outstanding Young Researcher Award in 2000 from the University of Hong Kong. Professor Wong is currently Editor-in-Chief of Transportmetrica A: Transport Science, and International Journal of Sustainable Transportation; Editor of Transportmetrica B: Transport Dynamics; Area Editor of Journal of Transportation Safety & Security; Associate Editor of IEEE Transactions on Intelligent Transportation Systems, Analytic Methods in Accident Research, and  Travel Behaviour and Society; and Editorial Board Member of Transportation Research Part B, Accident Analysis and Prevention, Transport Reviews, Journal of Intelligent Transportation Systems, ASCE Journal of Urban Planning and Development, International Journal of Shipping and Transport Logistics, etc. He was member of Committee of Application of Advanced Technologies in Transportation of ASCE, USA, and A1C05 Network Modeling Committee and AHB45 Committee on Traffic Flow Theory and Characteristics, Transportation Research Board, USA, and International Scientific Committee of the Eastern Asian Society for Transportation Studies.

For more information see webpage: http://web.hku.hk/~hhecwsc

Contact: hhecwsc@hku.hk

Research Areas:

      1. Traffic Signal Control;

      2. Network Modeling;

      3. Traffic Flow Modeling;

      4. Traffic Safety.

Changxu Wu

Dr. Changxu Wu received the Ph.D. degree in industrial & operational engineering from the University of Michigan-Ann Arbor in 2007. He is interested in integrating cognitive science and engineering system design, especially modeling human cognition system with its applications in system design, designing intelligent transportation systems with human-in-the-loop, improving transportation safety and efficiency, and promoting human performance in human-machine interaction.
Dr. Wu is the Associate Editors for several journals in transportation and human factors, including IEEE Transactions on Intelligent Transportations Systems and Behaviour & Information Technology. He has published more than 26 journal papers and his work is supported by National Science Foundation (NSF) and University Transportation Research Center (UTRC). He also received the Outstanding Student Instructor Award from the American Society of Engineering Education (ASEE) at the University of Michigan in 2006.

Liuqing Yang

Dr. Liuqing Yang received her Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, in 2004. Since August 2004, she has been with the Department of Electrical and Computer Engineering at the University of Florida, Gainesville, where she is now an Associate Professor. Her general interests are in areas of communications and signal processing. Dr. Yang was the recipient of the Best Dissertation Award in the Physical Sciences & Engineering from the University of Minnesota in 2004, the Best Paper Award at the IEEE International Conference on UWB in 2006, the AFOSR Summer Faculty Fellowship in 2007, the ONR Young Investigator Program (YIP) award in 2007, and the NSF Faculty Early Career Development (CAREER) award in 2009. She is currently serving as an active reviewer for more than 10 journals, as TPC chair/member for a number of conferences, and as an associate editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems, and PHYCOM: Physical Communication. Dr. Yang is a senior IEEE member, and has been the co-chair of the Mobile Communication Networks technical committee of the IEEE ITSS and the vice chair of the IEEE Gainesville section since 2006.

Peijun Ye

Peijun Ye is currently an assistant professor with the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. He received his Ph.D. in 2013 from University of Chinese Academy of Sciences, and was a visiting scholar in Department of Cognitive Science, University of California at San Diego during 2017-2018.

Dr. Ye is the principal investigator of projects from National Natural Science Foundation of China and China Scholarship Council. He is the author/coauthor of more than 30 academic papers. He serves as an Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Computational Social Systems, and the Secretary for the Social and Economic Computing ACM Chapter. He is also an invited reviewer of the Journal of Artificial Societies and Social Simulation, Knowledge and Information Systems, IEEE/CAA Journal of Automatica Sinica, and IEEE International Conference on Intelligent Transportation Systems.

Contact: peijun_ye@hotmail.com

Research Areas(LIST MAX 4 AREAS WITH 1 FIRST PRIORITY ETC):

      1. Multi-Agent Modeling and Simulation;

      2. Traffic Flow Analysis and Optimization;

      3. Artificial Intelligence;

      4. Distributed Computing.

Mengchu Zhou

Mengchu Zhou received his B.S. degree in Electrical Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now a Distinguished Professor of Electrical and Computer Engineering. He is presently a Professor of Tongji University, Shanghai, China. His research interests are in Petri nets, sensor networks, web services, semiconductor manufacturing, transportation and energy systems. He has over 490 publications including 11 books, 240+ journal papers (majority in IEEE Transactions), and 20 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering, Editor of IEEE Transactions on Automation Science and Engineering, and Associate Editor of IEEE Transactions on Systems, Man and Cybernetics: Systems and IEEE Transactions on Industrial Informatics. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is Fellow of IEEE and Fellow of American Association for the Advancement of Science (AAAS).

Qingpeng Zhang

Qingpeng Zhang received the B.S. degree in Automation from Huazhong University of Science and Technology in 2009, and the M.S. degree in Industrial Engineering and the Ph.D. degree in Systems and Industrial Engineering from the University of Arizona, in 2011 and 2012, respectively. He is currently an Assistant Professor in the Department of Systems Engineering and Engineering Management at the City University of Hong Kong. He has worked as a postdoctoral researcher in the Tetherless World Constellation at Rensselaer Polytechnic Institute from 2012 to 2013, a Ph.D. intern at the Pacific Northwest National Laboratory in the summer of 2011, and a visiting scientist in the State Key Laboratory of Management and Control for Complex Systems at Chinese Academy of Sciences in the summer of 2010. His research interests include social computing, complex systems, network science, artificial societies and social simulation, science of team science, Web science, semantic Web, and cyber-enabled social movement organizations.

IEEE ITS Society EXCOM/BOG Meeting Minutes (accessible by EXCOM/BOG members)