Teaching
EN.560.651 (451)
Smart Transportation & Autonomous Vehicles
- Instructor
- Dr. Hao Frank Yang
An introduction to the history and core technologies of smart transportation and autonomous vehicles. The course covers sensing and machine learning, data quality and multimodal fusion, vehicle perception and control, and trustworthy AI for connected and automated mobility. Case studies and hands-on exercises connect these topics to real-world transportation systems.
EN.560.315.01
AI & Data Science for Societal Systems
- Instructor
- Dr. Hao Frank Yang
Build AI systems that turn data into better decisions for society. Using transportation and public health as recurring case studies, this course connects sensing and databases with machine learning, spatio-temporal modeling, computer vision, multimodal learning, and generative AI. Students develop a complete data-to-decision pipeline while examining uncertainty, privacy, fairness, interpretability, and responsible deployment.