Dr. Mehrdad Kazerani

Professor

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Biography

Mehrdad Kazerani is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His work encompasses teaching and theoretical- experimental research in power electronics, alongside administrative duties. His research interests include modeling and control of DC/DC converters, voltage-sourced and current-sourced converters, grid integration of renewable energy sources, plug-in hybrid electric vehicles, energy storage systems, smart battery chargers, V2G capabilities, energy access, and microgrids. Kazerani has been involved with various governmental agencies and industry partners for numerous multidisciplinary projects, supervising a range of post-doctoral fellows, graduate students, visiting scholars, and undergraduate students. In addition to regular teaching duties, he teaches online graduate courses to power industry employees as part of the University of Waterloo's MEng Power Engineering program. Kazerani has authored and co-authored several journal articles, conference papers, and technical reports. He is a Senior Member of IEEE and has contributed to technical sub-committees, organized special sessions at IEEE conferences, and acted as an editor for several sections of IEEE Transactions. He also serves as a faculty advisor for the University of Waterloo's Alternative Fuels Team, focusing on sustainable vehicle technologies.

Research Interests

Courses

Design & Applications of Power Electronic Converters Operation and Control of Future Integrated Energy Systems Electric Machines and Motor Drives Energy Processing Special Topics in Power Systems and High Voltage Engineering Actuators & Power Electronics

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.