Lei's research interests include vehicle communications e.g. DSRC, LTE, 5G V2X, connected vehicle applications, cooperative intelligent transport systems (C-ITS), flying vehicles, e.g., drones, mobility data mining through the vehicle and telecom data, as well as mathematical optimization methods for performance evaluation and improvement for C-ITS.
Lei has a broad education covering communications, signal and systems, computer networking, automatic control, operations research, etc. His master study involved design and demonstration of a novel unmanned airborne vehicle (UAV) based ad hoc network. His PhD study was dedicated to mobile broadband (MBB) performance engineering including capacity analysis for ad hoc networks, resource planning and optimization of cellular networks (GSM, UMTS, LTE…), and design of distributed antenna systems for in-building networking. Mathematical optimization methods, e.g. integer linear programming, meta-heuristics, are the common tools he has been using for engineering problems.
Lei believes that as one of the most important and integrated parts of the smart cities, future transport will be fully connected and cooperative. Despite the technology evolution, many challenges lie ahead including communications, real-time data analysis, clouds, use cases, and business innovation, among others. His research will contribute in those areas and help to accelerate the evolution of connected mobility.
Share the same passion and want to join the effort? Lei is always open to discussion and cooperation. Feel free to tweet him @LeiChenRD, visit his LinkedIn https://www.linkedin.com/in/leichenrd, or his Homepage http://leichenrd.wixsite.com/research.