Haitao He

Haitao He is a Reader in Transport and AI at Loughborough University, UK, and leads the Transport AI Innovation Centre (TRAICE). He holds a BSc (First-Class Honours), MPhil, and PhD, and is a Fellow of the Higher Education Academy (FHEA). His research focuses on AI-driven solutions for smart cities and sustainable urban mobility, including traffic simulation, machine learning, and digital twinning. He develops methodologies in traffic flow theory, agent-based modeling, and deep learning to address challenges in automation, electrification, and shared mobility.

• Research Interests: AI in transportation, micro-mobility, sustainability, and data-driven urban planning.
• Projects: UKRI Future Leaders Fellowship on net-zero urban transport, TraffEase (Manchester Prize), and BusMONITOR (KTP with Vectare).

His expertise spans predictive traffic analytics, micro-mobility patterns, and infrastructure optimization. He has been awarded the UKRI Future Leaders Fellowship and has contributed to projects like SignBus (Swiss National Science Foundation) and WEAVE (highway weaving section design).

• Key Achievements: Developed TRAICE to advance transport AI, published over 30 articles on topics like traffic flow modeling and pandemic mobility impacts.

Haitao advises on PhD and postdoctoral research, focusing on AI and transport intersections. His work integrates academic and industry collaborations, driving innovation in smart mobility and policy-making.