Research Direction：
1. Intelligent transportation systems
2. System engineerings
3. Automatic detection technology and control
Research Direction：
Security and economy of complex networked systems;Optimal scheduling of production and manufacturing systems;Research on market bidding and countermeasure methods, and power market simulation and forecasting;Information-physical convergence systems, smart grids, sensor networks, and cyber security.
Research Direction：
Intelligent transportation Systems
Optimization and Decision-making for Complex Systems
Big Data and AI Ethics
Research Direction：
Control theory and applications: theory and applications of modeling, analysis, control, and optimization of networked dynamic systems
Research Direction：
1. Theory and technology of real-time data exchanging among pedestrians, vehicles, and infrastructure via multi-mode wireless communication (DSRC, LTE-V, 5G);
2. Theory and technology of cooperative safety driving and traffic control for drivers, vehicles, and infrastructure;
3. Urban and highway traffic theory (Traffic Brain) based on all spatio-temporal traffic information, and active traffic control theory and technology combined with vehicle control.
Research Direction：
1.Internet of Things and Wireless Sensor Network
2.Indoor positioning and network diagnosis
3.RFID
4.Industrial Internet and Cloud Computing
Research Direction：
Research interests include optimization theory and methods for networked cyber-physical energy systems with particular contribution to ordinal optimization, event-driven optimization and the applications.
Research Direction：
Artificial intelligence
Intelligent control and sensing
Intelligent transportation systems and intelligent vehicles
Complex systems and networked systems
Research Direction：
Intelligent optimization algorithms, Markov processes, and stochastic control and optimization
Research Direction：
1. Intelligent Vehicle Infrastructure Cooperative Systems（IVICS）theories and methods
2. Intelligent connected vehicles and self-driving vehicles
3. Intelligent analysis for traffic big data
4. Advanced traffic management systems
5. Intelligent public transportation systems
Research Direction：
1. High-performance quantum control for the industrialization of quantum information technologies.
2. Complexity analysis of optimization problems in quantum control and quantum algorithms.
3. Quantum artificial intelligence techniques and their experimental implementations.
Research Direction：
Research interests include road safety evaluation, driving behavior, AI models for traffic data analysis, synergetic safety for heterogeneous traffic system with CAVs under ubiquitous connectivity, etc.
Research Direction：
1. Cyber physical system
2. Networked control systems
Research Direction：
Computational energy intelligence, Bayesian optimization, Battery management system, Data-driven fault monitoring.
Research Direction：
1.Intelligent system testing and validation
2.Autonomous vehicles