Mohammed Quddus

Mohammed Quddus is a Professor and Chair in Intelligent Transport Systems at Imperial College London's Department of Civil and Environmental Engineering (Faculty of Engineering). Previously, he was Professor and Head of Transport & Urban Planning at Loughborough University. He holds a PhD from Imperial College London (2006), MEng from National University of Singapore (2001), and BSc from Bangladesh University of Engineering and Technology (1998). As a Fellow of the Higher Education Academy (UK), his research focuses on autonomous vehicles, transport safety, big data analytics, and connected transport systems.

His work emphasizes AI-driven solutions for map-matching algorithms, vehicle-infrastructure integration, and traffic safety. He leads interdisciplinary projects funded by EPSRC, National Highways, UK Department for Transport, and EU grants. Professor Quddus has authored over 140 journal articles, 130 conference papers, and pioneered influential methods adopted by car manufacturers and transport agencies.

Key research themes include:

• Autonomous/Semi-Autonomous Vehicle Operations
• Real-Time Crash Prediction Systems
• Intelligent Mobility Infrastructure
• Connected Vehicle Ecosystems
• Urban Traffic Optimization

His lab develops advanced driver assistance systems, traffic simulation frameworks, and safety assessment models. Current focus areas include evaluating lane closure impacts for autonomous vehicles, optimizing parking policies in smart cities, and enhancing mobility equity through AI-driven transport planning.