• Professor, Qatar
Reza Tafreshi

Educational Background

  • Ph.D., University of British Columbia – 2005
  • M.S., K.N. Toosi University of Technology, Tehran, Iran – 1995
  • B.S., K.N. Toosi University of Technology, Tehran, Iran – 1991

Research Interests

  • Dr. Reza Tafreshi’s teaching and research interests include Dynamic Systems, Measurement and Control, Biomedical Signal Processing and Machine Fault Diagnosis.

Selected Publications

  • M. F. Wahid, R. Tafreshi, R. Langari, “A Multi-Window Majority Voting Strategy to Improve Hand Gesture Recognition Accuracies Using Electromyography Signal,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Accepted (2019).
  • H. M. Wu, R. Tafreshi, “Observer-Based Internal Model Air-Fuel Ratio Control of Lean-Burn SI Engines,” IFAC Journal of Systems and Control, Accepted (2019).
  • M. Mohammadzaheri, R. Tafreshi, Z. Khan, M. Francheck, K. Grigoriadis, "Modelling of petroleum multiphase flow in electrical submersible pumps with shallow artificial neural networks," Ships and Offshore Structures, DOI: 10.1080/17445302.2019.1605959 (2019)
  • A. Meziou, Z. Khan, T. Wassar, M. A. Franchek, R. Tafreshi, K. Grigoriadis, “Dynamic Modeling of Two-Phase Gas-Liquid Flow in Pipelines,” Society of Petroleum Engineers (SPE) Journal, doi:10.2118/194213-PA (2019)
  • M. F. Wahid, R. Tafreshi, M. Al-Sowaidi†, and R. Langari, "Subject-independent Hand Gesture Recognition Using Normalization and Machine Learning Algorithms," Journal of Computational Science, vol. 27, pp. 69-76 (2018)