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.
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This is your grid on brains.