ELECTRICAL ENGINEERING

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Mahdi Aliyari Shorehdeli

Associate Professor

Phone No: +98 21 84062403

Email: aliyari@kntu.ac.ir

Personal website: http://wp.kntu.ac.ir/aliyari

Personal website: http://wp.kntu.ac.ir/aliyari

Education:

 

      Ph.D.: Control System Design, K. N. Toosi University of Technology, Tehran, Iran, 2008.

     M.Sc.: Control System Design, K. N. Toosi University of Technology, Tehran, Iran, 2003.

B.Sc.: Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran, 2001.

Research Interest:

 

  • Fault Diagnosis
  • System Identification

Optimization – Fuzzy and Neural Networks

Biography:

Mahdi Aliyari Shoorehdeli received the B.Sc. degree in electronics engineering, the M.Eng. degree, and a Ph.D. degree in control engineering from K. N. Toosi University of Technology, in 2001, 2003, and 2008, respectively. He is currently an Assistant Professor with the Department of Mechatronics Engineering, K. N. Toosi University of Technology, Tehran. He is the author of more than 100 papers in international journals and conference proceedings. His research interests include Fault Detection and Isolation, System Identification, and Optimization.

Selected journal papers:

 

  1. Ziyabari, S.H.S., Aliyari Shoorehdeli, M.Robust fault diagnosis scheme in a class of nonlinear system based on UIO and fuzzy residual,” International Journal of Control, Automation, and Systems, 2017.
  2. Farivar, F., Aliyari Shoorehdeli, M., “Stability analysis of particle dynamics in gravitational search optimization algorithm,” Information Sciences, 2016.
  3. Mahmoodi, L., Aliyari Shoorehdeli, M.,Comments on ”A Novel Fault Diagnosis and Prediction Scheme Using a Nonlinear Observer With Artificial Immune System as an Online Approximator,” IEEE Transactions on Control Systems Technology, 2017.
  4.  Ziyabari, S.H.S., Aliyari Shoorehdeli, M., “Fuzzy robust fault estimation scheme for a class of nonlinear systems based on an unknown input sliding mode observer,” Journal of Vibration and Control, 2016.

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