Donald C. Wunsch II is the Mary Finley Missouri Distinguished Professor and Director, Kummer Institute Center for Artificial Intelligence and Autonomous Systems at Missouri University of Science and Technology (Missouri S&T). He is also Director of the Applied Computational Intelligence Laboratory. Earlier employers were: Texas Tech University, Boeing, Rockwell International and International Laser Systems. His education includes: Ph.D., Electrical Engineering - University of Washington (Seattle), Executive MBA - Washington University in St. Louis, M.S., Applied Mathematics - University of Washington (Seattle), B.S., Applied Mathematics - University of New Mexico (Albuquerque), and Jesuit Core Honors Program, Seattle University. He also completed the Kellogg Executive Scholar graduate certificate program in Nonprofit Management at Northwestern University. Key research contributions are real-time design of Unsupervised and Reinforcement Learning and their applications. He is an IEEE Fellow and previous International Neural Networks Society (INNS) President, INNS Fellow, NSF CAREER Awardee, and recipient of the 2015 INNS Gabor Award, 2019 INNS Ada Lovelace Service Award, and 2023 IEEE Neural Networks Pioneer Award. He served as IJCNN General Chair, and on several Boards, including the St. Patrick’s School Board, Missouri S&T Newman Center Board, IEEE Neural Networks Council, INNS, 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. He served as Interim Director of the Missouri S&T Intelligent Systems Center and as a Program Director at the National Science Foundation. He has produced Ph.D. recipients in Computer Engineering, Electrical Engineering, Systems Engineering and Computer Science.

Prof. Wunsch is particularly interested in mentoring junior faculty members and helping large groups incorporate AI into their collaborative activities. He is happy to meet with industry collaborators and government agencies as well.

Self-Maintained Website   https://caias.mst.edu/

Social Media Accounts      https://www.linkedin.com/in/wunsch/

Selected Publications

• 1. N. M. Melton, S. A. Petrenko and D. C. Wunsch, "Meta-iCVI: Ensemble Validity Metrics for Concise Labeling of Correct, Under- or Over-Partitioning in Streaming Clustering," in IEEE Access, vol. 12, pp. 11114-11124, 2024, doi: 10.1109/ACCESS.2023.3346058.
• T. Wu, T. Luo and D. C. Wunsch, "GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 3110-3114, doi: 10.1109/ICIP49359.2023.10223158.
• Y. Yang, Y. Pan, C. -Z. Xu and D. C. Wunsch, "Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay," in IEEE Transactions on Neural Networks and Learning Systems, 2022, doi: 10.1109/TNNLS.2022.3213566.
• Lei Meng, Ah-Hwee Tan, and Donald C. Wunsch II, Adaptive Resonance Theory in Social Media Data Clustering, Springer-Verlag, 2019.
• Khalid Al-Jabery, Gayla Olbricht, Tayo Obafemi-Ajayi and Donald C. Wunsch II, Computational Intelligence Approaches to Data Analytics in Biomedical Applications, Elsevier, 2019.

Patents

• R. Dua, S.E. Watkins, D.C. Wunsch, “Neural network demodulator for optical sensor,” U.S. Patent 7,603004, Filed June 12, 2007, Issued October 13, 2009. 
• R. Meuth, J.L. Vian, E.W. Saad, D.C. Wunsch, “Adaptive multi-vehicle coverage optimization system and method, U.S. Patent 8,260,510, Filed July 12, 2012, Issued December 31, 2013. 
• R. Meuth, J.L. Vian, E.W. Saad, D.C. Wunsch, “Adaptive multi-vehicle coverage optimization system and method, U.S. Patent 8,260,485, Filed September 18, 2007, Issued September 4, 2012. 
• E.W. Saad, J.L. Vian, R.J. Meuth, and D.C. Wunsch, “Hierarchical mission management,” U.S. Patent Application 20110082717, October 5, 2009.
• E.W. Saad, S.R. Bieniawski, P.E.R. Pigg, J.L. Vian, P.M. Robinette, D.C. Wunsch, “Real time mission planning,” U.S. Patent 9064222, Applied for May 14, 2010, issued June 23, 2015.
• R. Xu, D.C. Wunsch, S. Kim, “Methods and systems for biclustering algorithm,” U.S. Patent 9043326 Filed January 28, 2012, claiming priority to Provisional U.S. Patent Application, January 28, 2011, issued May 26, 2015 

 Selected Honors and Awards

• 2023 IEEE Neural Networks Pioneer Award.
• IEEE Fellow,
• International Neural Networks Society Fellow
• 2015 INNS Gabor Award,
• 2019 INNS Ada Lovelace Service Award,