Mahdi Khodayar
About
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 AI and machine learning. He is focused on deep learning, spatiotemporal pattern recognition, reinforcement learning, and computer vision. Khodayar serves as an associate editor for IEEE Transactions on Transportation Electrification, IEEE Transactions on Industrial Informatics, and Elsevier’s Sustainable Computing: Informatics and Systems. He has also served as a reviewer for many reputable journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Sustainable Energy, and IEEE PES General Meeting. 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.
Research Performance Summary
First Recorded Paper
Robust deep neural network for wind speed prediction
Year: 2015
Citations: 51
Venue: 2015 4th Iranian Joint congress on fuzzy and intelligent systems (CFIS)
Latest Recorded Paper
Distribution Service Restoration: A Distributionally Robust Reinforcement Learning Approach
Year: 2026
Citations: 0
Venue: IEEE Transactions on Smart Grid 17 (1)
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.