Professor Donald C. Wunsch II
Donald C. Wunsch II, Ph.D. EE, MBA, PE, FIEEE
is the Mary K. Finley Missouri Distinguished Professor of Computer
Engineering at the Missouri University of Science & Technology (formerly
known as University of Missouri – Rolla), where he has been since 1999.
His research interests are adaptive critic designs, neural networks,
fuzzy systems, surety,
nonlinear adaptive control, intelligent agents, and applications.
His prior positions were Associate Professor and Director of the Applied Computational Intelligence Laboratory at Texas Tech University, Senior Principal Scientist at Boeing, Consultant for Rockwell International, and Technician for International Laser Systems.
Don has over 275 publications, and has attracted over $8 million in research funding. He has produced thirteen Ph.D.s seven in Electrical Engineering, five in Computer Engineering, and one in Computer Science. Among many awards, he was elected IEEE Fellow for “contributions to hardware implementations, reinforcement and unsupervised learning”, International Neural Networks Society (INNS) Fellow, the INNS Senior Fellow, has received the Halliburton Award for Excellence in Teaching and Research, and the National Science Foundation CAREER Award.
He served on the Information Technology and Computing Committee of his institution and has been Chair of that committee since 2006. This is a Standing Committee of the Faculty Senate and is the primary interface between faculty governance and the Chief Information Officer. He is also a Senior Investigator of the Intelligent Systems Center at his institution. He served as voting member of the IEEE Neural Networks Council, Program Chair for the IEEE Neural Networks Council Distinguished Lecturer Series, Technical Program Co-Chair for IJCNN 02, General Chair for IJCNN 03, INNS Board of Governors Member, and was the 2005 President of the INNS.
Don coedited Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues: Fourth International Conference on Intelligent Computing and Principal Manifolds for Data Visualization and Dimension Reduction (Lecture Notes in Computational Science and Engineering), and coauthored Clustering (IEEE Press Series on Computational Intelligence).
His papers include Using Neural Networks to Estimate Wind Turbine Power Generation, Survey of Clustering Algorithms, Dual Heuristic Programming Excitation Neurocontrol for Generators in a Multimachine Power System, Demodulation of extrinsic Fabry-Pérot interferometric sensors for vibration testing using neural networks, Advanced neural network training methods for low false alarm stock trend prediction, and Adaptive Neural Network Based Power System Stabilizer Design.
Don earned his Executive MBA from Washington University in St. Louis in 2006, his Ph.D. in Electrical Engineering from the University of Washington in Seattle in 1991, his M.S. in Applied Mathematics from the same institution in 1987, and his B.S. in Applied Mathematics from the University of New Mexico in 1984.
Read This is your grid on brains.