• Associate Professor
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

  • S. Shin, R. Tafreshi, R. Langari, "Robustness of using dynamic motions and template matching to the limb position effect in myoelectric classification", ASME Journal of Dynamic Systems, Measurement and Control, Accepted (2016).
  • A. Jaleel, R. Tafreshi, L. Tafreshi, "An expert system for differential diagnosis of Myocardial Infarction", ASME Journal of Dynamic Systems, Measurement and Control, Accepted (2016).
  • A. Meziou, M. Chaari, R. BorgiBorji, M. A. Franchek, K. Grigoriadis, R. Tafreshi, "Low-Dimensional Modeling of Transient Two-Phase Flow in Pipelines", ASME Journal of Dynamic Systems, Measurement and Control, Accepted (2016).
  • M. Mohammadzaheri, R. Tafreshi, Z. Khan, M. Francheck, K. Grigoriadis, "An intelligent approach to optimize multiphase subsea oil fields lifted by electrical submersible pumps", Journal of Computational Science, Elsevier, in press (2015).
  • M. M. Kabir, R. Tafreshi, D. B. Boivin, N. Haddad, "Enhanced Automated Sleep Spindle Detection Algorithm Based on Synchrosqueezing", Journal of Medical & Biological Engineering & Computing, in print (2015).