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Kaveh Ashenayi, PhD, PE

Kaveh Ashenayi, PhD, PE
Department Chair of Electrical and Computer Engineering
Hans S. Norberg Professor of Electrical and
College of Engineering & Natural Sciences
Electrical and Computer Engineering
918-631-3278 Rayzor Hall Room 1110


PhD – Oklahoma State University BS – Oklahoma State University


Kaveh Ashenayi's areas of research are Robotics and Automation, Power Engineering, Soft Computing (neural net, fuzzy logic, etc.) and its applications in Biomedical and Power Engineering. He is a senior member of IEEE and has served as the national chairman of Control, Robotics, and Automation Special Interest Group within INNS. Currently he is member of IEEE PES Energy Development and Power Generation (EDPG) Committee.

Research Interests

Power and Energy Systems
Smart Grid
Autonomous Vehicles

Teaching Interests

Power and Energy Systems
Intelligent Systems/Controls


  • Tai, Heng-Ming, Junli Wang, and Kaveh Ashenayi. “Motor Speed Regulation Using Neural Networks.” Industrial Electronics Society, 1990. IECON’90., 16th Annual Conference of IEEE. 1990. 1215–1220. Print.

  • Singh, Surendra, Kaveh Ashenayi, and H-M Tai. “Reconstruction of Pictures from Projections.” System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium On. 1988. 317–321. Print.

  • Kamran Sedighi, Kaveh Ashenayi, Theodore Manikas, Roger L. Wainwright, and Tai, Heng-Ming, “Autonomous Local Path-Planning for a Mobile Robot Using a Genetic Algorithm”, Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pp. 1338-1345, June 20-23, 2004, Portland, Oregon, USA.

  • Andrew Hand, Jagruthi Godugu, Kaveh Ashenayi, Theodore W. Manikas, Roger L. Wainwright,
    “Benchmarking Robot Path Planning”, ANNIE 2005, November, 2005.

  • Ashenayi, Kaveh et al. “Single-Layer Perception Capable of Classifying 2N+ 1 Distinct Input Patterns.” International journal of modelling & simulation 10.4 (1990): 124–128. Print.

  • Aditia Hermanu, Kaveh Ashenayi, Theordore Manikas, and Roger L. Wainwright, “Autonomous Robot Navigation Using a Genetic Algorithm with an efficient Genotype Structure”, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 14. Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary programming, Complex Systems and Artificial Life, Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark J. Embrechts, and Okan Ersoy, Editors, ASME Press, New York, pp. 319- 324, 2004

  • Tai, Heng-Ming, Junli Wang, and Kaveh Ashenayi. “A Neural Network-Based Tracking Control System.” Industrial Electronics, IEEE Transactions on 39.6 (1992): 504–510. Print.

  • K. H-Sedighi, K. Ashenayi, T.W. Manikas, and R.L. Wainwright, “A Genetic Algorithm
    for Autonomous Navigation Using Variable-Monotone Paths”, International Journal of
    Robotics and Automation,
    vol. 24, no.4, 2009, pp.367-373.

  • Theodore W. Manikas, Kaveh Ashenayi, Roger L. Wainwright, “Genetic Algorithms for
    Autonomous Robot Navigation”, IEEE Instrumentation & Measurement Magazine, Vol. 10, No. 6, December, 2007.

Courses Taught

  • Introduction to Neural Networks
  • Research and Dissertation
  • Sustainable Energy
  • Electrical and Computer Engineering Design Project II
  • Electrical Engineering and Computer Design Project I