About Donald Wunsch II

Donald Wunsch II

Electrical & Computer Engineer
Electrical Eng

573-341-4641 | dwunsch@mst.edu


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.

Key research contributions are: Clustering, including hierarchical clustering and biclustering; Adaptive resonance and Reinforcement Learning architectures, hardware and applications; Neurofuzzy regression; Traveling Salesman Problem heuristics; Smart Grid; Robotic Swarms; and Bioinformatics. He has produced 21 Ph.D. recipients in Computer Engineering, Electrical Engineering, Systems Engineering, and Computer Science; many M.S. students in those disciplines and also Statistics; and has over 500 publications including eleven books.

He is an IEEE Fellow and previous INNS President, INNS Fellow and Senior Fellow 07 - present, and served as IJCNN General Chair, and on several Boards, including the IEEE Neural Net Council, International Neural Networks Society, and the University of Missouri Bioinformatics Consortium. He chaired the Missouri S&T Information Technology and Computing Committee, a Faculty Senate Standing Committee. He received the 2015 INNS Gabor Award for neural networks in engineering and the 2019 INNS Ada Lovelace Service Award.


Research interests

Clustering, Neural Networks, Reinforcement Learning, Approximate Dynamic Programming, Adaptive Dynamic Programming, Adaptive Critic Designs, Adaptive Resonance Theory, Fuzzy Systems, Evolutionary Computation, Particle Swarm Optimization, Nonlinear Regression, Memristors, Game of Go (Baduk, Weichi), Traveling Salesman Problem, Prisoner's Dilemma Problem, Robotic Swarms, Bioinformatics, Self-Healing Critical Infrastructure, Smart Grid, Critical Infrastructure, Cybersecurity, applications of these

Course information

Distance courses

2022 Fall Semester
2023 Summer Semester