I am currently offering open PhD positions in Computer Science at the University of Tulsa

University - Computer science
Match Rate
?
Stage
Ph.D
Duration
48 month
Fund
27000 USD
Fee
55 USD
Deadline
Aug 15, 2024
Start
Jan 15, 2025

About the position

I am currently offering open PhD positions in Computer Science at the University of Tulsa. Our research projects focus on the theory and applications of generative machine learning and deep reinforcement learning, with applications in computer vision, transportation systems, and power grids.

Exam Requirements

GRE-General
Verbal
149 Percentile 60
Quantitative
160 Percentile 70
Writing
3 Percentile 50
IELTS
Listening
6.5
Reading
6.5
Writing
6.5
Speaking
6.5
Overall
6.5
TOEFL
Listening
20
Reading
20
Writing
20
Speaking
20
Overall
80

Research Interests

  • Artificial intelligence
  • Machine learning
  • Deep neural networks
  • Statistical pattern recognition
  • Probabilistic graphical models
  • Power systems
  • Transportation systems
  • Renewable energy
  • Computer vision
  • Image processing
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Professor
escholarlink

Dr. Mahdi Khodayar

Assistant Professor
Bio

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.

  • Location The University of Tulsa
  • Education Ph.D