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Ali Asghar Razi Kazemi

Assosiate Professor

Phone No: +98 21 84062413

Email: a.razi.kazemi@kntu.ac.ir

Personal website: http://wp.kntu.ac.ir/razi.kazemi


      Ph.D.: Electrical engineering -Power System, Sharif University of Technology, Tehran, Iran, 2013.

       M.Sc.: Electrical engineering -Power System, Tehran University, Tehran, Iran, 2010.

       B.Sc.: Electrical engineering, K.N. Toosi University of Technology, Tehran, Iran, 2008.


Research Interest:

  • Circuit Breakers On-Line Monitoring
  • High Power Technology
  • Pulsed Power Technology
  • Reliability Centered-Maintenance
  • Condition-Based Maintenance
  • Asset Management
  • Transients in Power System
  • Insulation Coordination


Ali A. Razi-Kazemi received the B.Sc. and M.Sc. degree in Electrical engineering from K.N. Toosi University of Technology and Tehran University, Tehran, Iran, respectively, and a Ph.D. degree in Electrical Engineering from the Sharif University of Technology, Iran and Research Attachment at Aalto University, Espoo, Finland, in 2013. Dr. Razi-Kazemi is the Assistant Professor in the Department of Electrical Engineering at K.N. Toosi University of Technology. His research interests include high power technology, reliability- and condition-based maintenance, asset management, and insulation coordination.

Selected journal papers:

  1. Bagherpoor, A., Rahimi-Pordanjani, S., Razi-Kazemi, A.A., Niayesh, K., “Online condition assessment of interruption chamber of gas circuit breakers using arc voltage measurement,” IEEE Transactions on Power Delivery, 2017.
  2. Ariannik, M., Razi-Kazemi, A.A., Lehtonen, M., “Effect of cumulative moisture content on the degradation of transformer paper insulation,” IEEE Transactions on Dielectrics and Electrical Insulation, 2017.
  3. Razi-Kazemi, A.A., “Circuit breaker condition assessment through a fuzzy-probabilistic analysis of actuating coil’s current,” IET Generation, Transmission, and Distribution, 2016.
  4. Razi-Kazemi, A.A., “Applicability of auxiliary contacts in circuit breaker online condition assessment,” Electric Power Systems Research, 2015.
  5. Razi-Kazemi, A.A., Vakilian, M., Niayesh, K., Lehtonen, M., “Data mining of online diagnosed waveforms for probabilistic condition assessment of SF6 circuit breakers,” IEEE Transactions on Power Delivery, 2015.

Contact Us

Address: Faculty of Electrical Engineering, K.N. Toosi University of Technology, 

Seyed-Khandan, Shariati Ave., Tehran, Iran.

Postal Code: 16317-14191

P. O. Box:16315-1355

Tel: +98-21-8846-9084

Fax: +98-21-8846-2066

Email: eehead@kntu.ac.ir