Lei Chen
Senior Researcher

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.
- Operation analysis of freeway mixed traffic flow based on catch-up coordination…
- System of Systems for emergency response : the case with CAVs on highways
- An Improved Multimodal Trajectory Prediction Method Based on Deep Inverse Reinf…
- Autonomous Vehicle Fleets for Public Transport : Scenarios and Comparisons
- Connected Automated Vehicles : Technologies, Developments, and Trends
- Enabling technologies for low-latency service migration in 5G transport network…
- Scalable Federated Learning over Passive Optical Networks
- Federated learning to enable automotive collaborative ecosystem : opportunities…
- Federated Learning to Enable Automotive Collaborative Ecosystem : Opportunities…
- Public and private partnership platform for quik and effective implementation o…