Intelligent Transportation Track
The Intelligent Transportation track aims to explore the advanced techniques, theory, applications, simulations, and architectures of the next generation transportation systems. With the help of emerging artificial intelligence and big data processing techniques, the next generation transportation systems should have good opportunities to overcome the challenges and obstacles in the past. The topics of this track include, but are not limited to, traffic operation theory, driver behaviour, traffic data management, autonomous driving, location-based services, traffic simulation, and edge computing. Our track particularly invites and encourages prospective speakers to share their work, findings, perspectives and developments as related to implementation and deployment of advanced intelligent transportation systems and applications.
Invited Speakers (in alphabetical order)
Qianwen CHAO
Lead Scientist
Huawei Technology, China
Talk Title: Urban Traffic Simulation: Modeling, Evaluation, and Analysis
Huazhu FU
Principal Scientist
A*STAR, Singapore
Talk Title: Trusted Multi-Modality Learning
Jilin HU
Professor
Aalborg University, Denmark
Talk Title: Path Representation Learning
Ping LI
Assistant Professor
The Hong Kong Polytechnic University
Talk Title: Computing-Driven Creative Design Rendering and Synthesis
Zhenning LI
Assistant Professor
University of Macau, Macau
Talk Title: Human-like Trajectory Prediction for Autonomous Driving
Cheng LONG
Assistant Professor
Nanyang Technological University, Singapore
Talk Title: RL4SpatialDB: On Leveraging Reinforcement Learning for Spatial Data Management
Chao MA
Associate Professor
Shanghai Jiaotong University, China
Talk Title: Cross-Modal Scene Understanding for Autonomous Driving
Ryan SHI
Assistant Professor
University of Pittsburgh, US
Talk Title: Iterative Learning and Planning for Public Sector Applications: Deployed Studies
Bingyu ZHAO
Assistant Professor
Technische Universität Wien, Austria
Talk Title: Title Understanding Wildfire Evacuation Challenges for Communities with Limited Egress Options: Integrating Models of Fire, Communications, Traffic, and Empirical Observations
Lei ZHU
Assistant Professor
Hong Kong University of Science and Technology (Guangzhou), China
Talk Title: Learnable Image/Video Perception Algorithms for Intelligent Transportation
