Dr. Shaahin Filizadeh

Professor

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Biography

Dr. Shaahin Filizadeh is a Professor in the Department of Electrical and Computer Engineering at the University of Manitoba. His research primarily focuses on electric power systems, with particular interest in computer modeling and simulation of systems involving power electronic converters, energy storage systems, and fast-acting controllers. His noteworthy projects include a detailed analysis of energy storage requirements in hybrid cascaded modular multilevel converters and the development of accelerated models for modular multilevel converters. He has made significant contributions to the field through various publications in reputable journals, emphasizing the performance analysis of dual-inverter drive systems and numerical modeling methods for piezoelectric energy harvesters. Dr. Filizadeh has actively supervised numerous graduate students and has collaborated on many research projects exploring advanced simulation techniques and modeling for electrified vehicular systems. His current research includes the exploration of decision-support algorithms and optimization methods in power electronics and energy systems, aimed at enhancing the efficiency and reliability of electric power infrastructure.

Research Interests

Experience

Professor

2013-01-01 — Present

University of Manitoba • Winnipeg, MB, Canada

Teaching and conducting research in Electrical Power Systems and Power Electronics.

Courses

Power Electronics (ECE 4370) Advanced Power Electronics (ECE 7072) Advanced Electric Machines Drives (ECE 7030)

Requirements for University of Manitoba

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:86
Prerequisites
Baccalaureate degree in nursing or equivalent Professional registration as RN or RPN Research Methods course (min grade C+) Introductory Statistics course (min grade C+)
Application Checklist
  • CV/Resume
  • Statement of Intent (500 words)
  • Two letters of recommendation
  • Transcripts
  • Proof of professional registration
  • Criminal Record Check
  • Child Abuse Registry Check
  • Adult Abuse Registry Check
Specialization Notes

Streams include Education, Administration, or Clinical.