Speaker: Yiheng Feng

Assistant Professor, Purdue University, USA

Dr. Yiheng Feng is an assistant professor at Lyles School of Civil Engineering, Purdue University. His research interests include connected and automated vehicles (CAVs) and smart transportation infrastructure, with a focus on traffic control with CAVs. He has published more than 50 research articles in top journals, including Nature Communications, Transportation Research Part B/C, and IEEE Transactions on ITS. He is the co-chair of the simulation subcommittee of traffic signal systems committee at TRB, and editorial board member of Transportation Research Part C.

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Speaker: Changliu Liu

Assistant Professor, Carnegie Mellon University, USA

Dr. Changliu Liu is an assistant professor in the Robotics Institute, School of Computer Science, Carnegie Mellon University (CMU), where she leads the Intelligent Control Lab. Prior to joining CMU, Dr. Liu was a postdoc at Stanford Intelligent Systems Laboratory. She received her Ph.D. from University of California at Berkeley and her bachelor degrees from Tsinghua University. Her research interests lie in the design and verification of intelligent systems with applications to manufacturing and transportation. She published the book “Designing robot behavior in human-robot interactions” with CRC Press in 2019. She received Amazon Research Award.

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Speaker: Andreas Malikopoulos

Associate Professor, University of Delaware, USA

Dr. Andreas Malikopoulos is the Terri Connor Kelly and John Kelly Career Development Associate Professor in the Department of Mechanical Engineering and the Director of the Sociotechnical Systems Center at the University of Delaware (UD). Prior to these appointments, 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 from the National Technical University of Athens, Greece, and his M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 2004 and 2008, respectively all in Mechanical Engineering. His research interests span several fields, including analysis, optimization, and control of cyber-physical systems; decentralized stochastic systems; stochastic scheduling and resource allocation; and learning in complex systems. Dr. Malikopoulos is the recipient of several prizes and awards, including the 2007 Dare to Dream Opportunity Grant from the University of Michigan Ross School of Business, the 2007 University of Michigan Teaching Fellow, the 2010 Alvin M. Weinberg Fellowship, the 2019 IEEE Intelligent Transportation Systems Young Researcher Award, and the 2020 UD’s College of Engineering Outstanding Junior Faculty Award. He has been selected by the National Academy of Engineering to participate at the 2010 German-American Frontiers of Engineering (FOE) Symposium and organize a session in transportation at the 2016 European-American FOE Symposium. He has also been selected as a 2012 Kavli Frontiers of Science Scholar by the National Academy of Sciences. Dr. Malikopoulos is currently an Associate Editor of the IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, and Automatica. He is a Senior Member of the IEEE and a Fellow of the ASME.

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Speaker: Huei Peng

Professor, Director of Mcity, University of Michigan, USA

Dr. Huei Peng received his Ph.D. in Mechanical Engineering from the University of California, Berkeley in 1992. He is now a Professor at the Department of Mechanical Engineering at the University of Michigan. He currently serves as the Director of Mcity, which studies connected and autonomous vehicle technologies and promotes their deployment. His research interests include adaptive control and optimal control, with emphasis on their applications to vehicular and transportation systems. His current research focuses include design and control of electrified vehicles, and connected/automated vehicles. He is both a SAE fellow and an ASME Fellow.

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Speaker: Ziran Wang

Principal Researcher, Toyota Motor North America R&D, USA

Dr. Wang is currently a Principal Researcher at Toyota Motor North America R&D - InfoTech Labs in Silicon Valley, co-leading the “Digital Twin” project with the aim to build an AI-based data-driven vehicle-to-cloud framework. He received the Ph.D. in Mechanical Engineering from the University of California, Riverside in 2019. His research interests include motion planning and control, driver behavior modelling, and digital twin of connected and automated vehicles.

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Speaker: Ding Zhao

Assistant Professor, Carnegie Mellon University, USA

Dr. Ding Zhao is an Assistant Professor of the Department of Mechanical Engineering at Carnegie Mellon University. He is also with Robotic Institute, Machine Learning Department, CyLab, Manufacturing Future Institute, and the Scott Institute for Energy Innovation. His research aims to safely deploy the AI-empowered agent to the real world by developing and promoting Trustworthy Artificial Intelligence, with applications on autonomous vehicles, smart manufacturing, intelligent transportation, assistant robots, medical diagnosis, and cybersecurity. Dr. Zhao's research has been supported by the National Science Foundation, Department of Transportation, and Department of Energy. He also works with leading self-driving companies around the world including Uber, Ford, Toyota, Rolls-Royce, Denso, and Bosch. He is the recipient of the U.S National Science Foundation CAREER Award, Carnegie-Bosch Research Award, and Struminger Teaching Award.

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Speaker: Yan Chang

Senior Software Engineer, Tech Lead, Woven Planet, USA

Dr. Yan Chang is a tech lead and senior software engineer at Level 5, formerly part of Lyft, is now Woven Planet (a Subsidiary of Toyota ). Her current research focuses include machine learning, motion planning, and decision making for autonomous vehicles. She received her M.S. and Ph.D. degrees from University of Michigan, Ann Arbor. Dr. Chang is the recipient of Lyft Autonomous Science Fair Most Innovative Award. She also holds multiple patents. She is currently serving as an Associate Editor of IEEE Transactions on Transportation Electrification.

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Workshop Agenda

The workshop will be held on Sundy, August 8th, 2021.

8:30 AM - 9:00 AM PST
Andreas Malikopoulos, University of Delaware
An Efficient Emerging Mobility System for Smart Cities

9:00 AM - 9:30 AM PST
Huei Peng, University of Michigan
Automated Driving in Mixed Traffic

9:30 AM - 10:00 AM PST
Ding Zhao, Carnegie Mellon University
Generating Driving Scenarios for Better Algorithm Design and Evaluation

10:00 AM - 10:30 AM PST
Changliu Liu, Carnegie Mellon University
Learning and Coordination for Autonomous Driving

10:30 AM - 10:45 AM PST: Social Break

10:45 AM - 11:15 AM PST
Yiheng Feng, Purdue University
A Cooperative Driving Framework for Urban Arterials in Mixed Traffic Conditions

11:15 AM - 11: 45 AM PST
Ziran Wang, Toyota Motor North America R&D - InfoTech Labs
Cooperative Motion Planning and Control at Ramp Merging: A Field Experiment

11:45 AM - 12:15 AM PST
Yan Chang, Woven Planet
Data-Driven Planning for Autonomous Driving

12:15 PM - 13:00 PM PST: Open Discussion

Workshop Organizers

The Workshop is organized by the IEEE CSS Technical Committee on Smart Cities

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Yan Chang
Senior Software Engineer, Tech Lead
Woven Planet, USA
Andreas Malikopoulos
Associate Professor
University of Delaware, USA