Mo-Yuen Chow

Mo-Yuen Chow earned his degree in Electrical and Computer Engineering from the University of Wisconsin-Madison (B.S., 1982); and Cornell University (M. Eng., 1983; Ph.D., 1987). Upon completion of his Ph.D. degree, Dr. Chow joined the Department of Electrical and Computer Engineering at North Carolina State University as an Assistant Professor. He became an Associate Professor in 1993, and a Professor since 1999. Dr. Chow is a Changjiang Scholar and a Visiting Professor at Zhejiang University. He worked in U.S. Army, TACOM TARDEC Division as a Senior Research Scientist during the summer of 2003. He spent his sabbatical leave as a Visiting Scientist in 1995 in ABB Automated Distribution Division.



Dr. Mo-Yuen Chow is the founder and the director of the Advanced Diagnosis, Automation and Control Laboratory at North Carolina State University. His recent research focuses on distributed control, and fault management with applications on smart grids, PHEVs, batteries, and mechatronics/robotics systems. He has served as a Principal Investigator in projects supported by various federal agencies and private companies. He has published one book, seven book chapters, and over two hundred journal and conference articles. Dr. Chow is an IEEE Fellow, a co-Editor-in-Chief of IEEE Transactions on Industrial Informatics, was the Editor-in-Chief of IEEE Transactions on Industrial Electronics 2010-2012, a co-Editor-in-Chief of IEEE Transactions on Industrial Electronics, a past Technical Editor of IEEE Transactions on Mechatronics, a past Associate Editor of the IEEE Transactions on Industrial Electronics and IEEE Transactions on Industrial Informatics. He was the Vice President for Publication of IEEE Industrial Electronics Society in 2006-2007, and the Vice President for Membership of IEEE Industrial Electronics Society in 2000-2001. He was the General Chair of IEEE-IECON05, the General Co-Chair of IEEE-IECON10 and IEEE-ISIE12. Dr. Chow served as a guest editor for the IEEE Transactions on Mechatronics Focus Section on Mechatronics in Multi Robot Systems (2009), IEEE Transactions on Industrial Electronics special sections on Distributed Network-Based Control Systems and Applications (2003), on Motor Fault Detection and Diagnosis (2000), and on Application of Intelligent Systems to Industrial Electronics (1993). He was a Senior Fellow of Japan Society for the Promotion of Science in 2003. He has received the IEEE Eastern North Carolina Section Outstanding Engineering Educator Award in 2004, the IEEE Region-3 Joseph M. Biedenbach Outstanding Engineering Educator Award in 2005, the IEEE Eastern North Carolina Section Outstanding Service Award in 2007, the IEEE Industrial Electronics Society Anthony J Hornfeck Service Award in 2013. He is a Distinguished Lecturer of IEEE IES.

Education

1982 - B.S. in Electrical and Computer Engineering, University of Wisconsin, Madison
1983 - M. Eng. in Electrical Engineering, Cornell University, Ithaca
1987 - Ph.D. in Electrical Engineering, Cornell University, Ithaca

Awards & Honors

Recent Publications

• Cyber-Physical Microgrids: Toward Future Resilient Communities (2020)
• Distributed Event-Triggered H-infinity Consensus Based Current Sharing Control of DC Microgrids Considering Uncertainties (2020)
• Distributed Power Management for Networked AC-DC Microgrids With Unbalanced Microgrids (2020)
• Distributed, Neurodynamic-Based Approach for Economic Dispatch in an Integrated Energy System (2020)
• Guest Editorial: Special Section on Resilience, Reliability, and Security in Cyber-Physical Systems (2020)
• Robust Consensus-Based Distributed Energy Management for Microgrids With Packet Losses Tolerance (2020)
• A Distributed Model-Free Controller for Enhancing Power System Transient Frequency Stability (2019)
• A Distributed and Resilient Bargaining Game for Weather-Predictive Microgrid Energy Cooperation (2019)
• A Novel Data Integrity Attack on Consensus-Based Distributed Energy Management Algorithm Using Local Information (2019)
• A Resilient Consensus-Based Distributed Energy Management Algorithm Against Data Integrity Attacks (2019)