Professor of computer science and engineering with three decades of experience in fields ranging from network communications protocols to smart transportation systems.   Has significant expertise in connected and autonomous vehicles and their safety as well as in artificial intelligence (AI), sensor networks, and resilient communication protocol design.

Formal Education

  • Ph.D. in Computer Science, University of Pittsburgh 
  • B.S. in Computer Science and Engineering, University of Science and Technology of China

Career Highlights

  • Over a decade of experience in R&D and demonstration of connected and autonomous vehicles
  • Experienced with perception subsystems based on cameras, sensor networks, radar, and lidar
  • Recipient of more than $15m in grants from the NSF (National Science Foundation), USDOT (U.S. Department of Transportation), NYSDOT (New York State DOT), and NYSERDA (New York State Energy Research and Development Authority) to lead research on connected and autonomous vehicle algorithms and their applications
  • Has also led research on the testing and evaluation of connected vehicles and autonomous vehicles with virtual/augmented reality
  • Director of University-level research programs evaluating the safety of connected and autonomous vehicles
  • Elevated to Fellow by the IEEE (Institute for Electrical and Electronics Engineers) for his pioneering research on optical and wireless networks, architectures, and protocols
  • Two-time recipient of a Best Paper Award from the International Conference on Connected Vehicles and Expo (ICCVE)
  • During a span of over fifteen years, worked on technical projects and served as a consultant for many IT and telecom companies, including serving as a visiting scientist at Fujitsu Labs and Japan’s NIICT (National Institute of Information and Communications Technology)
  • Named inventor on seven issued U.S. patents including for novel methods of optical burst switching and network routing protocols