Prof. Zhang has over 20 years of experience in machine learning, artificial intelligence, robotics, prognostics and health management, intelligent systems and control. Particularly, he has developed and applied many machine learning and deep learning techniques with applications to monitoring, control, and intelligence to power grid, lithium-ion batteries, aircraft, helicopters, manned and unmanned vehicles. He also developed applications based on Bayesian approaches, such as extended Kalman filter, particle filtering, sensor fusion, and risk evaluation. He has published more than 200 papers in his areas of expertise. He is/was editors for many prestigious journals of control, automation, neurocomputing and member of steering committee of many international conferences.
Education
- PhD in Electrical Engineering from Nanyang Technological University, Singapore
- Postdoc in Electrical and Computer Engineering at Georgia Institute of Technology, Atlanta, GA
Research Interests
- Prognostics and health management, which covers fault detection and isolation, failure prognosis, and fault tolerance
- Robotics, unmanned systems, electromechanics, and industrial electronics
- Intelligent systems and control
- Dynamic systems, design, modeling, simulation and control.
Professional Experience
- 2012 – present: University of South Carolina, Columbia, SC
- 2011 – 2012: General Motors Research & Development, Detroit MI
- 2009 – 2011: Impact Technologies, LLC, Rochester NY
- 2006 – 2009: Georgia Institute of Technology, Atlanta, GA
Professional Services
- Associate Editor
- IEEE Journal of Emerging and Selected Topic in Industrial Electronics (JESTIE)
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Neurocomputing
- Chinese Journal of Mechanical Engineering
- IEEE Transactions on Automation Science and Engineering (pas)
- IEEE Transactions on Industrial Electronics (past)
- International Journal of Fuzzy Logic and Intelligent Systems (past)
- Guest Editor
- IEEE Transactions on Consumer Electronics
- IEEE Open Journal of Instrumentation and Measurement
- IEEE Transactions on Industrial Informatics
- IEEE ACCESS
- IEEE Journal of Emerging and Selected Topics in Power Electronics
- Chinese Journal of Electronics
- International Journal of Distributed Sensor Networks
- Conference Committees
- 2025 INDIN
- 2023 ONCON (General Chair）
- 2021/2022/2023/2024 IEEE-ICPS
- 2020/2023/2024 IECON
- 2023 ISIE
- 2020 INDIN
- 2020ICIEA
- 2016/2018/2020/2021/2022 European Conference of PHM Society
- 2013-2022 Annual Conference of PHM Society
- Tutorials on 2017 IEEE PHM-Harbin, 2013 IEEE PHM