Professor Dr. Shahram Yousefi
Professor
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Biography
Shahram Sean Yousefi focuses on solving problems at the intersection of technology, academia, and healthcare. With 25 years of experience in engineering, technology, and teaching, he has managed teams and projects across three continents and visited 85 countries. He received his B.Sc. in electrical engineering from the University of Tehran and his Ph.D. in telecommunications from the University of Waterloo in Canada. Holding positions at multiple esteemed institutions, including the University of Toronto, Ecole Polytechnique Fédérale de Lausanne, Jilin University, and the University of California, Santa Cruz, he currently serves as a tenured full professor at Queen's University. His leadership roles have included acting Department Head and Associate Dean of Engineering. Elected as Editor-in-Chief for IEEE CJECE journal from 2016 to 2020, he has also received numerous awards, including the Golden Apple teaching award and NSERC Discovery Accelerator Supplement. His research interests encompass communications, cloud systems, big data, networks, information theory, signal processing, control, algorithms, and machine intelligence, and he has co-founded several companies, leveraging algorithms for innovative solutions. He holds multiple patents in the data storage sector.
Research Interests
Experience
Professor
— PresentQueen's University • Kingston, Canada
Served as a tenured full professor and has held various leadership roles including acting Department Head and Associate Dean.
Awards
Golden Apple Teaching Award
Discovery Accelerator Supplement
Patents
N/A
Patents related to data storage technologies licensed within the solid-state storage industry.
Courses
Requirements for Queen's University
Master Program
Requirements
GPA Requirement
TOEFL
IELTS
Prerequisites
Application Checklist
- Online application
- Statement of Research Interest
- Curriculum Vitae
- Two academic references
- Transcripts
Specialization Notes
Department of Computing offers research-based, project-based, and course-based patterns.