ELECTRICAL ENGINEERING

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Mohammad Teshnehlab

 Professor

Phone No: +98 21 84062323

Email: teshnehlab@kntu.ac.ir

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

Education:

       Ph.D.: Doctor of Philosophy, Saga University, Japan, 1993.

       M.Sc.: Electrical Engineering, Oita University, Japan, 1991.

       B.Sc.: Electrical Engineering, Stony Brook University, NY, USA, 1981.

Research Interest:

  • Introduction of Artificial Intelligence
  • Advanced Artificial Neural Networks
  • Fuzzy Control Systems
  • Neuro-Controller
  • Evolutionary Algorithms
  • Interval Soft Computing

Biography:

Dr. Mohammad Teshnehlab is a faculty member of the Electrical Eng. Department of K. N. Toosi University of Technology. His main research interests focus on Intelligent Systems and Control.  He is a member of the Industrial Control Center of Excellence also the founder of Intelligent Systems Laboratory (ISL). Dr. Teshnehlab was head and Co-founder of the Intelligent Systems Scientific Society of Iran (ISSSI) and an editorial member of the International Journal of Information & Communication Technology Research (IJICTR).

Selected journal papers:

  1. Rasti, R., Teshnehlab, M., Phung, S.L., “Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks,” Pattern Recognition, 2017.
  2. Jafari, P., Teshnehlab, M., Tavakoli-Kakhki, M., “Synchronization and stabilization of fractional-order nonlinear systems with adaptive fuzzy controller and compensation signal,” Nonlinear Dynamics, 2017.
  3. Mohtashami, H., Movaghar, A., Teshnehlab, M., “Multi-objective Node Placement Considering Non-uniform Event Pattern,” Wireless Personal Communications, 2017.
  4. Ahmadi, G., Teshnehlab, M., “Designing and implementation of stable sinusoidal rough-neural identifier,” IEEE Transactions on Neural Networks and Learning Systems, 2017.
  5. Sharafi, Y., Khanesar, M.A.,Teshnehlab, M., “COOA: Competitive optimization algorithmSwarm and Evolutionary Computation,” 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