Dr. Shahab Bakhtiari

Assistant Professor

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Biography

Shahab Bakhtiari is an Assistant Professor at the University of Montreal. He received his undergraduate and graduate degrees in Electrical Engineering from the University of Tehran and earned a PhD in Neuroscience from McGill University. Upon completing his PhD, he worked as a postdoctoral fellow at Mila, Quebec AI Institute, where he focused on research at the intersection of neuroscience and artificial intelligence. His research particularly centers on the modeling of visual perception and learning in biological brains using artificial neural networks, with an emphasis on deep learning computational frameworks. He is actively involved in supervising graduate students and guiding theses and dissertation projects that explore various aspects of neuroAI and visual systems. His recent projects aim to optimize frameworks for comparative multispecies studies of visual systems and delve into the union of neuroscience and artificial intelligence. Bakhtiari’s interdisciplinary research spans neuroscience, psychology, and computer engineering, with a pronounced focus on computational neuroscience and machine learning methodologies. He aims to leverage knowledge of the nervous system to develop biologically-inspired artificial intelligence systems.

Research Interests

Requirements for University of Montreal

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:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:90
Prerequisites
Bachelor degree or equivalent
Application Checklist
  • Official transcripts
  • Birth certificate
  • Proof of French proficiency (B2 level)
  • CV/Resume
  • Two letters of recommendation
Specialization Notes

Most programs require French B2 level; specific departments may require C1 or C2.