Brief Biography

Minyue Fu received his Bachelor's Degree in Electrical Engineering from the University of Science and Technology of China, Hefei, China, in 1982, and M.S. and Ph.D. degrees in Electrical Engineering from the University of Wisconsin-Madison in 1983 and 1987, respectively.

From 1983 to 1987, he held a teaching assistantship and a research assistantship at the Uiniversity of Wisconsin-Madison. He worked as a Computer Engineering Consultant at Nicolet Instruments, Inc., Madison, Wisconsin, during 1987. From 1987 to 1989, he served as an Assistant Professor in the Department of Electrical and Computer Engineering, Wayne State University, Detroit, Michigan. For the summer of 1989, he was employed by the Universite Catholoque de Louvain, Belgium, as a Maitre de Conferences Invited. He joined the Department of Electrical and Computer Engineering, the University of Newcastle, Australia, in 1989 and was promoted to a Chair Professor in Electrical Engineering in 2002. He has served as the Head of Department for Electrical and Computer Engineering and Head of School of Electrical Engineering and Computer Science over a period of 7 years. In addition, he was a Visiting Associate Professor at University of Iowa in 1995-1996, a Visiting Professor at Nanyang Technological University, Singapore, 2002, and Visiting Professor at Tokyo University in 2003. He has held a ChangJiang Visiting Professorship at Shandong University, a visiting Professorship at South China University of Technology.

He was elected to Fellow of IEEE in late 2003. He is also a Fellow of Engineers Australia and a Fellow of Chinese Association of Automation. His main research interests include control systems, signal processing and communications. His current research projects include networked control systems, multi-agent systems, smart electricity networks and super-precision positioning control systems. He has been an Associate Editor for the IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, Automatica, and Journal of Optimization and Engineering.