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
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

Assistant Professor
Hong Kong University of Science and Technology (Guangzhou), China

Talk Title: Learnable Image/Video Perception Algorithms for Intelligent Transportation