Dr. Hamid Reza Sezavar
Assistant Professor
Department of Electrical and Computer Engineering
Qom University of Technology (QUT)
University email address: sezavar@qut.ac.ir
Educational Background:
- D. in Electrical Engineering, Power Systems and High Voltage Engineering, University of Tehran, Tehran, Iran.
- Thesis Title: Analysis and Modeling of Medium Voltage Polymer Insulators to Predict Flashover Conditions under Salt-Fog Tests Based on AI Algorithm
- Supervisor: Dr. Amir Abbas Shayegani 2016-2022
- Sc. in Electrical Engineering, Power Systems and High Voltage Engineering, University of Tehran, Tehran, Iran.
- Thesis Title: Design and Simulation of Pulsed Power Generator Based on Marx Principle and Bipolar Junction Transistor
- Supervisor: Dr. Kaveh Niayesh(Professor of Norwegian University of Science and Technology (NTNU)) 2013 – 2015
- Sc. in Electrical Engineering, Power Systems, Sharif University of Technology, Tehran, Iran
- Thesis Title: Wireless Power Transmission and its Applications.
- Supervisor: Dr. Farzad Tahami 2009 -2019
Research Interest:
- High Voltage Engineering
- Power System Analysis
- Pulsed Power Engineering
- Renewable Energy
Publications:
- Sezavar, Hamid Reza, Navid Fahimi, and Amir Abbas Shayegani. "A dynamic intelligent approach based on Gaussian function for prediction of the flashover voltage conditions on polluted polymer insulators." IEEE Transactions on Power Delivery5 (2021): 3458-3468.
- Fahimi, Navid, Hamid Reza Sezavar, and Amir Abbas Shayegani Akmal. "Dynamic modeling of flashover of polymer insulators under polluted conditions based on HGA-PSO algorithm." Electric Power Systems Research205 (2022): 107728.
- Sezavar, Hamid Reza, Navid Fahimi, and Amir Abbas Shayegani-Akmal. "An improved dynamic multi-arcs modeling approach for pollution flashover of silicone rubber insulator." IEEE Transactions on Dielectrics and Electrical Insulation1 (2022): 77-85
- Mohsenzadeh, Mohammad Mahdi, et al. "Flashover voltage and time prediction of polluted silicone rubber insulator based on artificial neural networks." Electric Power Systems Research221 (2023): 109456.
- Golnazari, R., Hasanzadeh, S., Heydarian‐Forushani, E., Sezavar, H. R., & Fahimi, N. (2023). A techno‐economic model for enhancing PV hosting capacity through capabilities of smart inverters and soft open points. IET Renewable Power Generation
- Sezavar, H. R., et al. "Risk assessment of contaminated composite insulators in pre-flashover conditions." Electric Power Systems Research230 (2024): 110256.
- Fahimi, N., H. R. Sezavar, and A. A. Shayegani-Akmal. "Flashover prediction of polymer insulators based on dynamic modeling of pollution layer resistance using ANN." IEEE Transactions on Dielectrics and Electrical Insulation1 (2022): 122-130.