Computational Intelligence

Computational intelligence (CI) is a superset of artificial intelligence (AI) encompassing AI, but with more emphasis on neural networks, fuzzy logic and evolutionary computation. In recent years, CI and AI have become closer in meaning due to the success of CI approaches, particularly neural networks. The department and university offer many classes in CI topics, and a number of our researchers use CI approaches as a key part of their investigations. S&T is primarily known for contributions in unsupervised and reinforcement learning, and has made contributions in fuzzy logic and evolutionary computing.

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Interested in discussing the research we are working on or learning more? Visit our lab website,, or please contact:

Donald Wunsch II
Dr. Donald Wunsch II

Mary Finley Professor and Director, Kummer Institute Center for AI and Autonomous Systems

Research Interests
Neural Networks, Fuzzy Systems, Evolutionary Computing, Explainable Artificial Intelligence, Unsupervised Learning, Reinforcement Learning, Applications, Entrepreneurship, and Policy.
Joe Stanley
Dr. Joe Stanley

Professor, Associate Chair, Academic Affairs and Computer Engineering Coordinator

Research Interests

Computational Intelligence, Biomedical Image and Signal Processing, Data Fusion, Machine and Deep Learning, Medical Informatics, Precollege STEM Education Outcomes.

Dr. Jag Sarangapani

Curators’ Distinguished Professor and William A. Rutledge - Emerson Electric Co. Chair

Research Interests

Learning, adaptation and control, neural networks, secure cyber-physical-human systems, big data prognostics, robotics/autonomous systems.