Felix Feng

Felix Feng is a Research Fellow and Manager of the Intelligent Infrastructure and Transport Systems (IITS) Laboratory at Imperial College London's Department of Civil and Environmental Engineering. His work focuses on developing configurable automotive system models for autonomous vehicle safety validation and simulating interactions with road users. He holds a PhD in Mechanical Engineering (University of Bath, 2019), an MSc in Mechatronics (University of Bath, 2014), and a BEng in Mechatronics (Tongji University, 2013).

• Education:
  • PhD in Mechanical Engineering, University of Bath (2015–2019)
  • MSc in Mechatronics Engineering, University of Bath (2013–2014)
  • BEng in Mechatronics Engineering, Tongji University (2009–2013)

His research interests span autonomous vehicles, artificial intelligence, transportation systems, and control systems. Notable projects include driver model development using machine learning and safety validation frameworks for autonomous systems. His recent work explores multimodal traffic prediction, digital twin simulations, and reinforcement learning applications in urban logistics.

Publications highlight advancements in traffic risk modeling, GNSS fault detection, and smart infrastructure solutions. Felix’s contributions address challenges in autonomous vehicle interaction safety, urban mobility optimization, and resilient air traffic networks.

His IITS Lab at Imperial focuses on translating cutting-edge research into practical tools for safer, smarter transportation ecosystems.