- Professor, Mechanical Engineering at Qatar
- Phone: 974-4423-0237
- Email: reza.tafreshi@qatar.tamu.edu
- Office: 234P
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
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- Dynamic systems
- Measurement and control
- Biomedical signal processing
- 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)