Donald C. Wunsch Ii
Professor
ELECTRICAL AND COMPUTER ENGINEERING
Missouri University of Science and Technology
United States of America
Biography
"Donald Wunsch is the Mary K. Finley Missouri Distinguished Professor at Missouri University of Science & Technology (Missouri S&T). Earlier employers were: Texas Tech University, Boeing, Rockwell International, and International Laser Systems. His education includes: Executive MBA - Washington University in St. Louis, Ph.D., Electrical Engineering - University of Washington (Seattle), M.S., Applied Mathematics (same institution), B.S., Applied Mathematics - University of New Mexico, and Jesuit Core Honors Program, Seattle University. Key research contributions are: Clustering; Adaptive Resonance and Reinforcement Learning architectures, hardware and applications; Neurofuzzy regression; Traveling Salesman Problem heuristics; Robotic Swarms; and Bioinformatics. He is an IEEE Fellow and previous INNS President, INNS Fellow and Senior Fellow 2007-2013, NSF CAREER Award winner, and winner of the 2015 INNS Gabor Award. He served as IJCNN General Chair, and on several Boards, including the St. Patrick’s School Board, IEEE Neural Networks Council, International Neural Networks Society, and the University of Missouri Bioinformatics Consortium, Chaired the Missouri S&T Information Technology and Computing Committee as well as the Student Design and Experiential Learning Center Board. Education EMBA, Business Administration, Washington University in St. Louis, 2006 Ph.D. Electrical Engineering, University of Washington (Seattle), 1991 M.S. Applied Mathematics, University of Washington (Seattle), 1987 B.S Applied Mathematics, University of New Mexico, 1984 "
Research Interest
" Clustering or unsupervised learning Adaptive dynamic programming (ADP) or reinforcement learning Neural networks hardware and applications "
Publications
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Steven Damelin, Y. Gu, Donald Wunsch, and Rui Xu, "Fuzzy Adaptive Resonance Theory, Diffusion Maps, and their applications to Clustering and Biclustering," Mathematical Modelling of Natural Phenomena: Special Issue on Model Reduction Across Disciplines in Honor of Alexander N. Gorban, Vol. 10, No. 3, 2015, pp. 206-211.
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Gennady Fridman, Jeremy Levesley, Ivan Tyukin, and Donald Wunsch (Eds.), “Preface,†Mathematical Modelling of Natural Phenomena: Special Issue on Model Reduction Across Disciplines in Honor of Alexander N. Gorban, Vol. 10, No. 3, 2015, pp. 1-5. *
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Xingang Fu, Shuhui Li, Michael Fairbank, Donald Wunsch, and Eduardo Alonso, “Training Recurrent Neural Networks with the Levenberg¬Marquardt Algorithm for Optimal Control of a Grid-Connected Converter,†IEEE Transactions on Neural Networks and Learning Systems, Vol 26, No. 9, September 2015.
