Shahab Bakhtiari

Professeur adjoint

Faculté des arts et des sciences - Département de psychologie

shahab.bakhtiari@umontreal.ca

Web : LinkedIn

Web : Compte Twitter

Web : Google Scholar

Web : Autre site web

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.

Education Programs

Social Sciences and Social Action
Literature and Languages Fundamental and Applied Sciences Social Sciences Arts and Music
Social Sciences Social Sciences and Social Action
Social Sciences Social Sciences and Social Action
Social Sciences Social Sciences and Social Action
Social Sciences Social Sciences and Social Action
Social Sciences Social Sciences and Social Action

Courses

PSY3913 IA, psychologie et neuroscience cognitive
PSY6913 IA, psychologie et neuroscience cognitive
PSY6989 L’apprentissage profond en neuroscience cognitive

Areas of 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.

Research projects Expand all Collapse all

An optimization framework for comparative, multispecies studies of visual s y s t e m s Projet de recherche au Canada / 2023 - 2029

Lead researcher : Shahab Bakhtiari

Funding sources: CRSNG/Conseil de recherches en sciences naturelles et génie du Canada (CRSNG)

Grant programs: PVXXXXXX-(DGECR) Tremplin vers la découverte

An optimization framework for comparative, multispecies studies of visual s y s t e m s Projet de recherche au Canada / 2023 - 2029

Lead researcher : Shahab Bakhtiari

Funding sources: CRSNG/Conseil de recherches en sciences naturelles et génie du Canada (CRSNG)

Grant programs: PVX20965-(RGP) Programme de subvention à la découverte individuelle ou de groupe

Union Neurosciences et Intelligence Artificielle Québec (UNIQUE) Projet de recherche au Canada / 2022 - 2029

Lead researcher : Karim Jerbi

Co-researchers : Yoshua Bengio , Christian Casanova , Frédéric Gosselin , John Francis Kalaska , Philippe Langlais , Pierre Rainville , Richard Robitaille , Pierre Jolicoeur , Paul Cisek , Numa Dancause , Sarah Lippé , Andrea Michelle Green , Simona Maria Brambati , Roberto Araya , Pierre-Louis Bellec , Guillaume Lajoie , Irina Rish , Becket Ebitz , Guillaume Dumas , Eilif B. Muller , Ian Charest , Catherine Duclos , Vincent Taschereau-Dumouchel , Matthew Perich , Shahab Bakhtiari , Julien Cohen-Adad , Frédéric Lesage , Éric Plourde , Alan C Evans , Doina Precup , Maxime Descoteaux , Tal Arbel , Jean-Marc Lina , Farida Cheriet , Erik P. Cook , Christophe Grova , Christian Gagné , Yves De Koninck , Simon Duchesne , Stefanie Blain-Moraes , François Laviolette , Julien Doyon , Bratislav Misic , Paul De Koninck , Simon Hardy , Nicolas Doyon , Thomas R Shultz , Christopher Pack , Amir Shmuel , Nikola Stikov , Kevin Whittingstall , Habib Benali , Ismail Ben Ayed , Patrick Desrosiers , Jean-Baptiste Poline , Audrey Durand , Danilo Bzdok , Marie-Jean Meurs , Flavie Lavoie-Cardinal , Caroline Ménard , Benjamin De Leener , Hervé Lombaert , Joël Lefebvre , Pouya Bashivan , Blake Richards , Suresh Krishna , Hassan Rivaz , Tristan Glatard , Sylvain Bouix , Adrien Frederic Jean Peyrache

Funding sources: FRQNT/Fonds de recherche du Québec - Nature et technologies (FQRNT)

Grant programs: PVXXXXXX-(RS) Programme de regroupements stratégiques