Dr. Jing Wang
- About
Biography
Jing Wang is a Professor of Electrical Engineering at Illinois State University. Prior to this, he served in the Department of Electrical and Computer Engineering at Bradley University, Peoria, IL, where he was an Assistant Professor from 2014 to 2018, an Associate Professor from 2018 to 2024, and a Professor in 2024. From 2007 to 2014, he held positions as an Assistant Professor and Associate Professor in the Department of Computer Engineering and Computer Science at Bethune-Cookman University, Daytona Beach, FL. Between 2002 and 2007, he was a Research Assistant Professor at the School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL. Earlier in his career, he worked as a Research Fellow at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China (1997-1999), and at the Department of Electrical and Computer Engineering, National University of Singapore, Singapore (1999-2002).
He has authored a book published by Springer and over 150 papers, along with four book chapters, primarily focused on nonlinear control, cooperative control, adaptive neural control, robotics, and optimization. His current research interests encompass systems and controls, the Internet of Things (IoT), cyber-physical systems, distributed control, data-driven control and machine learning, distributed optimization, and control applications in robotics, power network, and communication networks. He is a Senior Member of the IEEE.
Teaching Interests & Areas
Signals and Systems, Control Systems, Intro to Microcontrollers and Embedded Systems, Electric Circuits, Robotics, Digital Signal Processing, Advanced Data-Driven Control, Electronics, Digital Control, Optimization Methods, Nonlinear Systems, Adaptive Learning
Research Interests & Areas
Control and Robotics: Motion planning and cooperative control of UAVs, UGVs and UUVs, Cooperative localization of multi-robots, Visual servoing, Sensor fusion
Distributed Optimization and Learning: Coordination of multiagent systems, Deep learning and predictive control, Approximate dynamic programming and reinforcement learning; Extremum Seeking Control
Nonlinear Systems and Control Theory: Nonlinear control, Adaptive control, Optimal adaptive control, Robust control
Control Applications: Cyber Security Control, IoT, QoS-Aware resource allocation in NFV/SDN-Enabled Net- works, TCP/AQM Congestion Control, Control of cyber-physical Systems, Distributed sensor networks, Satellite communication network; Optimization and control of Microgrids, Control of DC/DC and DC/AC Converters