Dr. Soosan Beheshti

Professor

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Biography

Soosan Beheshti is a professor in the Department of Electrical, Computer, Biomedical Engineering at Toronto Metropolitan University. Her research focuses on statistical signal processing, machine learning, and the design of communication systems. Beheshti's work utilizes techniques from statistical learning theory, information extraction, and data denoising, and has applications in medical imaging and data clustering. With a PhD from the Massachusetts Institute of Technology, her expertise extends to system modeling and control. Throughout her career, Beheshti has received accolades such as the Dean's Teaching Award from Toronto Metropolitan University and the EECS Carlton E. Tucker Award for Teaching Excellence from MIT. She serves as an associate editor for notable journals in the field and is a senior member of the IEEE, continually contributing to advancements in understanding data modeling and its relationship with reliable outcomes.

Research Interests

Awards

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Dean’s Teaching Award

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EECS Carlton E. Tucker Award

Courses

Statistical Inference / Signals Systems

Requirements for Toronto Metropolitan University

Master Program
Requirements
GPA Requirement
Required:3.33
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Prerequisites
Four-year undergraduate degree in chemical engineering or related field
Application Checklist
  • Transcripts
  • Two letters of recommendation
  • Resume
  • Statement of Interest
Specialization Notes

Department of Chemical Engineering