• Professor, Electrical & Computer Engineering
  • Regents Professor
  • Eugene E. Webb Professor
  • Member, National Academy of Engineering
  • University Distinguished Professor
Google Scholar Profile
Mladen Kezunovic

Educational Background

  • Ph.D., Electrical Engineering, University of Kansas – 1980
  • M.Sc., Electrical Engineering, University of Kansas – 1977
  • Dipl.Ing., Electrical Engineering, University of Sarajevo – 1974

Research Interests

  • •Protective Relaying
    •Power Systems
    •Computational Intelligence
    •Smart Grids

    Teaching Courses

    •ELEN 459
    •ELEN 666
    •ELEN 679

Awards & Honors

  • Member, The US National Academy of Engineering, 2022
  • Guest Professor, State Key Laboratory of Simulation of Power System and Generation Equipment, Tsinghua University, China, 2018-2021
  • Association of Former Students Distinguished Achievement Award for Research, Texas A&M University, 2018
  • Member, Department of Energy, Electricity Advisory Committee, Appointed by the US Secretary of Energy, 2017-2021
  • Life Fellow, The Institute of Electrical and Electronics Engineering, 2017
  • Distinguished member, International Council on Large Electric Systems-CIGRE, 2018
  • Special Visiting Scholar, Science without Borders, National Council for Scientific and Technological Development (CNPq), Brazil, 2015-2017

Selected Publications

  • R. Baembitov, M. Kezunovic, K. A. Brewster and Z. Obradovic, “Incorporating Wind Modeling into Electric Grid Outage Risk Prediction and Mitigation Solution,” IEEE Access, doi: 10.1109/ACCESS.2023.3234984.
  • M. Khoshjahan and M. Kezunovic, “Robust bidding strategy for aggregation of distributed prosumers in flexiramp market,” Electric Power Systems Research, Vol. 209, 107994, August 2022, DOI: 10.1016/j.epsr.2022.107994
  • M. Pavlovski, M. Alqudah, T. Dokic, A. Abdel Hai, M. Kezunovic, Z. Obradovic, “ Hierarchical Convolutional Neural Networks for Event Classification on PMU Data,” IEEE Trans. on Instrumentation and Measurement, Vol. 70, 2021, DOI: 10.1109/TIM.2021.3115583
  • A. Abdel Hai, T. Dokic, M. Pavlovski, T. Mohamed, D. Saranovic, M. Alqudah, M. Kezunovic, Z. Obradovic, “Transfer Learning for Event Detection from PMU Measurements with Scarce Labels,” IEEE Access, Vol. 9, 127420 – 127432, 10 September 2021, DOI: 10.1109/ACCESS.2021.3111727.
  • M. Soleimani, M. Kezunovic, S. Butenko “Linear Arrhenius-Weibull Model for Power Transformer Thermal Stress Assessment” IEEE Access, Vol 10, 19013-19021, 2022, DOI: 10.1109/access.2022.3150039.
  • M. Alqudah, M. Pavlovski, T. Dokic, M. Kezunovic, Y. Hu, Z. Obradovic, “Convolution-based Fault Detection Utilizing Timeseries Synchrophasor Data from Phasor Measurement Units,” IEEE Transactions on Power Systems, 2022, DOI: 10.1109/TPWRS.2021.3135336.
  • K. M. Silva, J. S. G. Pena, H. D. M. Braz, M. Kezunovic, “An Adaptive Scheme to Mitigate the Infeed Effect on Overreaching Distance Zones,” IEEE Transactions on Power Delivery, vol. 37, no. 4, pp. 3345-3356, Aug. 2022, doi: 10.1109/TPWRD.2021.3128131.
  • M. Pavlovski, M. Alqudah, T. Dokic, A. Abdel Hai, M. Kezunovic, Z. Obradovic, “Hierarchical Convolutional Neural Networks for Event Classification on PMU Data,” IEEE Trans. on Instrumentation and Measurement, Vol. 70, 2021, DOI: 10.1109/TIM.2021.3115583
  • A. Abdel Hai, T. Dokic, M. Pavlovski, T. Mohamed, D. Saranovic, M. Alqudah, M. Kezunovic, Z. Obradovic, “Transfer Learning for Event Detection from PMU Measurements with Scarce Labels” IEEE Access, Vol. 9, 127420 – 127432, 10 September 2021, DOI: 10.1109/ACCESS.2021.3111727.
  • B. Bhalja, M. Kezunovic, “Novel Fault Distance Estimation Method for Three-Terminal Transmission Line” IEEE Transactions on Power Delivery, Vol. 36, No. 1, pp. 406-417, February 2021.
Google Scholar Profile