Artificial Intelligence

The Artificial Intelligence (AI) focuses on developing intelligent systems capable of learning, reasoning, and making decisions. This field combines machine learning, deep learning, natural language processing, computer vision, and robotics to solve complex problems across diverse domains. Researchers in this area aim to create AI models and algorithms that are accurate, efficient, interpretable, and ethical.

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Interested in discussing the research we are working on or learning more? Please contact:

Levent Acar
Dr. Levent Acar

Associate Professor

Research Interests

Intelligent control of functional systems; neural networks applied to control; hierarchical design and control of large-scale systems; optimal and suboptimal control for interconnected systems; distributed computational methods of optimal control strategies.

Ahmad Alsharoa
Dr. Ahmad Alsharoa

Assistant Professor

Research Interests

Machine learning and artificial intelligence, Data science and big data, Light Detection and Ranging (LiDAR), Smart systems and smart cities, Reconfigurable intelligent surfaces. Edge computing. Wireless networks, Optical wireless. Spectrum sharing.

Rui Bo
Dr. Rui Bo

Associate Professor

Research Interests

computation, optimization and economics in power system operation and planning; high performance computing; electricity market simulation, evaluation and design.

Mohamed Nafea
Dr. Mohamed Nafea

Assistant Professor

Research Interests

Fair & interpretable machine learning; causal learning and reasoning; federated learning and distributed optimization; information security and privacy

Tayo Obafemi Ajayi
Dr. Tayo Obafemi-Ajayi

Associate Professor, Mace/Turblex Professor of Engineering

Research Interests

Explainable Artificial Intelligence, Control Systems, Bioinformatics, Data Mining

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.

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.

Donald Wunsch II
Dr. Donald Wunsch II

Mary K. Finley Missouri Distinguished Professor. Director, Kummer Institute Center for Artificial Intelligence and Autonomous Systems. Director, Applied Computational Intelligence Laboratory

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