Shahab Bakhtiari
My research focuses on the intersection of neuroscience and AI, also known as NeuroAI.
- Professeur adjoint
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Faculté des arts et des sciences - Département de psychologie
Media
Profile
Research expertise
Shahab's research is centered at the intersection of neuroscience and AI, also known as NeuroAI. Specifically, he examines visual perception and learning in both biological brains and artificial neural networks. He uses deep learning as a computational framework to model learning and perception in the brain, and leverages our understanding of the nervous system to create more biologically-inspired artificial intelligence.
Biography
Shahab Bakhtiari is an Assistant Professor at the University of Montreal. He received his undergraduate and graduate degrees in Electrical Engineering from University of Tehran. He then went on to earn a PhD in Neuroscience from McGill University. After completing his PhD, he was a postdoctoral fellow at the Mila Quebec AI Institute, where he focused on research at the intersection of neuroscience and artificial intelligence.
Affiliations and responsabilities
Teaching and supervision
Teaching
Courses taught (current session only)
- PSY-3913 – IA, psychologie et neuroscience cognitive
- PSY-6913 – IA, psychologie et neuroscience cognitive
Programs
Projects
Research projects
An optimization framework for comparative, multispecies studies of visual s y s t e m s
An optimization framework for comparative, multispecies studies of visual s y s t e m s
Union Neurosciences et Intelligence Artificielle Québec (UNIQUE)
Frais Direct - Canada Excellence Research Chair in Autonomous Artificial Intelligence
Outreach
Publications and presentations
Disciplines
- Neurosciences
- Psychology
- Computer Engineering and Software Engineering
Areas of expertise
- Computational Neuroscience
- Machine learning
- Visual System
- Learning
- Vision
- The brain and learning
- Systems neuroscience
- Role of autonomic nervous system functions
- Computer models
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