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Alireza Siadatan

Sessional Associate Professor, Teaching Stream, P.Eng

Department:

Electrical Engineering & Computer Science

Bio

Dr. Alireza Siadatan holds B.Sc., Ph.D., and postdoctoral degrees in Electrical Engineering from Shahid Beheshti University G.C. (Melli Iran) in Tehran. He was also a visiting Ph.D. student at the University of Wisconsin–Madison in 2012. From 2018 to 2021, Dr. Siadatan served as a visiting professor at the University of Toronto.

Over the past two decades, Dr. Siadatan has published more than 200 journal and conference papers and holds 15 patents. He has been a member of the Academic Requirements Committee (ARC) at Professional Engineers Ontario (PEO) since 2023 and a Senior Member of the IEEE (SMIEEE) since 2019. Additionally, he serves as a technical examiner for PEO.
He currently teaches several electrical and computer engineering courses at the University of Toronto and York University.

His current research interests include Electric Machines Design and Drives, Control Systems, Brain–Computer Interface (BCI), Renewable Energy, Wireless Power Transfer (WPT), and Power Electronics.

Research Interests

  • Electric Machine Design and Drives, including Switched Reluctance Motors (SRM) and Synchronous Reluctance Motors (SynRM)
  • Power Electronics and AI applications, including DC–DC high-gain converters, inverters, multilevel inverters, and cycloconverters
  • Electrical Power Systems
  • Renewable Energy Systems (solar, wind, etc.)
  • Digital and Logic Systems, Linear Control Systems

Publications

A full list of publications can be found on my Google Scholar profile.

Teaching Experience

  • Control Systems
  • Introduction to Computer Science II-Mechatronic
  • Object Oriented Programming from Sensors to Actuators
  • Electrical Systems for Mechanical Engineers
  • DIGITAL SYSTEM ENGINEERS: Modeling, Implementation and Validation
  • Electrical Circuits I & II
  • Electrical Machines
  • Power Systems I & II
  • Electrical Machine Design and Drives (Graduate)
  • Finite Element Method (Graduate)
  • Renewable Energy Systems (Graduate)
  • Solar System Design (Graduate)
  • Signals and Systems
  • Digital Logic
  • Electronic Circuits and Devices
  • Differential Equations
  • Numerical Methods
  • Engineering Mathematics