Jiaqi Ma
UCLA, USA

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Speaker Bio

Professor Jiaqi Ma is an Associate Professor at the UCLA Samueli School of Engineering and Associate Director of UCLA Institute of Transportation Studies. Prior to that, he was Assistant/Associate Professor and Academic Director of the University of Cincinnati Advanced Transportation Collaborative, Project Manager and Research Scientist with Leidos working at the Federal Highway Administration Turner-Fairbank Highway Research Center, and a contractor researcher at the Virginia Transportation Research Council of the Virginia Department of Transportation (DOT). He has led and managed many research projects worth of a total value of more than $20 million funded by U.S. DOT, NSF, state DOTs, and other federal/state/local programs covering areas of smart transportation systems, such as vehicle-highway automation, Intelligent Transportation Systems (ITS), connected vehicles, shared mobility, and large-scale smart system modeling and simulation, and artificial intelligence and advanced computing applications in transportation. He is Editor in Chief of the IEEE Open Journal of Intelligent Transportation Systems, and Associate Editor of Nature Scientific Reports, Journal of Intelligent Transportation Systems, and ASCE Open. He is Member of the Transportation Research Board (TRB) Standing Committee on Vehicle-Highway Automation, Member of TRB Standing Committee on Artificial Intelligence and Advanced Computing Applications, Member of American Society of Civil Engineers (ASCE) Connected & Autonomous Vehicles Impacts Committee, publication board member of IEEE ITS Society, Co-Chair of the IEEE ITS Society Technical Committee on Smart Mobility and Transportation 5.0.

Alois C. Knoll
TUM, Germany

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Alois C. Knoll is a distinguished academic and researcher, having studied Electrical/Communications Engineering and Computer Science at top German universities. He began his career at TU Berlin and became a full professor at the University of Bielefeld. In 2001, he joined Technische Universität München (TUM) as a Computer Science professor, where he played a significant role in the Institute of Medical Engineering Technology (IMETUM) and served as Executive Director of TUM’s Institute of Computer Science. Prof. Knoll’s research focuses on cognitive robotics, data fusion, and adaptive systems. He has written over 1200 technical papers and led national and EU-funded projects, including programs like “Roberta” that aimed to inspire students in robotics. He has organized major conferences such as IEEE-RAS Humanoids and IEEE-IROS. He founded fortiss to promote research-industry collaboration. He has been a key figure in initiatives linking computer science with neuroscience, including the EU Human Brain Project and neuro-IT endeavors. Prof. Knoll also led large-scale EU projects like ECHORD and ECHORD++, advancing robotics technology. He’s committed to education, having initiated programs like TUM’s Graduate School of Information Science in Health and the Robotics, Cognition, and Intelligence program. His contributions have earned him prestigious awards like the Carl-Ramsauer-Prize and Fellowship of the University of Tokyo. Engaged in various professional societies and advisory roles, he emphasizes advancing technology through interdisciplinary collaboration in academia and industry.

Hang Qiu
University of California, Riverside, USA

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Guillaume Sartoretti
NUS, Singapore

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Sheng Zhou
Tsinghua University, China

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Collaborative Perception under V2X Communication Limitations

Talk Description

Collaborative perception (CP) can enhance the perception reliability of autonomous driving, as compared to stand-alone intelligence. However, the limited V2X bandwidth pose challenges on the information exchange, in addition to the dynamic spatial and temporal relationship among sensors on vehicles. This talk will introduce our research efforts toward practical CP, and the simulation platform as well as the datasets we have developed.

Speaker Bio

He is an Associate Professor with the Department of Electronic Engineering at Tsinghua University, Beijing, China since 2013.

He received my the B.E. and the Ph.D. degrees in EE from Tsinghua University in 2005, and 2011, respectively. His research interests include green wireless communications, vehicular networks, mobile edge computing, distributed machine learning in wireless networks, and low power wireless communications for medical implants.

Amanda Prorok
Cambridge University, UK

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Zsolt Kira
Gatech, USA

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Manabu Tsukada
University of Tokyo, Japan

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Marco Pavone
Stanford University, USA

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Jingwei Ji
Waymo LLC, USA

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Dr. Jingwei Ji is a Senior Research Scientist at Waymo Research, where he leads multiple research projects focused on advancing autonomous driving and applying these innovations to Waymo’s products. He received his Ph.D. in Electrical Engineering from Stanford University and holds a B.Sc. in Physics from Peking University.

Boris Ivanovic
Nvidia, USA

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Boris Ivanovic is a Manager in NVIDIA’s Autonomous Vehicle Research Group, conducting research in behavior modeling, simulation, and end-to-end autonomy.

Fredrico Tombari
Google, Switzerland

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