2023 IEEE CIS Awards

Donald C. Wunsch II (Fellow, IEEE) received the B.S. degree in applied mathematics from the University of New Mexico, Albuquerque, NM, USA, the Jesuit Honors Program from Seattle University, Seattle, WA, USA, the Kellogg Graduate Certificate of Nonprofit Management from Northwestern University, Evanston, IL, USA, the M.S. degree in applied mathematics from the University of Washington, Seattle, WA, USA, the M.B.A. degree from Washington University, St. Louis, MO, USA, and the Ph.D. degree in electrical engineering from the University of Washington. He is currently the Mary K. Finley Missouri Distinguished Professor with the Missouri University of Science and Technology (Missouri S&T), Rolla, Missouri. He is the inaugural Director of the Kummer Institute Center for Artificial Intelligence and Autonomous Systems, Missouri S&T and Director of the Applied Computational Intelligence Laboratory. He was with Texas Tech, Lubbock, TX, Boeing, Seattle, WA, Rockwell International, Albuquerque, NM, and International Laser Systems, Albuquerque, NM. His research interests include real-time learning, unsupervised learning, reinforcement learning, and their applications. He was the recipient of the International Neural Networks Society (INNS) Fellow, NSF CAREER, INNS Gabor Award, INNS Ada Lovelace Award, and IEEE Neural Networks Pioneer Award. He was INNS President, IJCNN General Chair, and on the St. Patrick's School Board, IEEE Neural Networks Council, INNS Board, and the University of Missouri Bioinformatics Consortium, chaired the Missouri S&T Information Technology and Computing Committee and the Student Design and Experiential Learning Center Board. He was also the Program Director with the National Science Foundation 2021 - 2022. He produced 23 Ph.D. recipients of computer engineering, electrical engineering, systems engineering, and computer science.

Automated summary

Donald C. Wunsch II is a professor at the Missouri University of Science and Technology. He holds multiple degrees and has extensive research experience in various fields. His research interests include real-time learning, unsupervised learning, reinforcement learning, and their applications. He has received multiple international awards and held important positions in various institutions.