Mahdi Khodayar, Ph.D., received his B.Sc. degree in computer engineering and the M.Sc. degree in artificial intelligence from K.N. Toosi University of Technology, Tehran, Iran, in 2013 and 2015, respectively, and a Ph.D. degree in electrical engineering from Southern Methodist University in 2020. He is currently an assistant professor in the Department of Computer Science at The University of Tulsa. His main research interests include machine learning and statistical pattern recognition. He is focused on deep learning, sparse modeling, and spatiotemporal pattern recognition. Khodayar has served as a Reviewer for many reputable journals, including the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Industrial Informatics, the IEEE Transactions on Fuzzy Systems, the IEEE Transactions on Sustainable Energy, and the IEEE Transactions on Power Systems. Khodayar’s projects are funded by the National Science Foundation (NSF), U.S. Department of Transportation (DOT), as well as the TU Cyber Fellows program.
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