Shabnam Haghzare

Fascinated by almost all products of human creativity: from engineering and artificial intelligence to literature
[if used for good]



I am a PhD Candidate in the Institute of Biomedical Engineering at University of Toronto under the supervision of Dr. Alex Mihailidis and Dr. Jennifer Campos. I am also a graduate fellow of Schwartz Reisman Institute for Technology and Society and a postgraduate affiliate of Vector Institute for Artificial Intelligence.

My PhD projects are focused on adaptive and intelligent schemes/systems of making automated vehicles usable by older adults with & without dementia to prolong their safe driving period. In these projects, we use DriverLab at KITE - University Health Network to empirically explore potential features that need to be incorporated in such intelligent systems.

On a broader scale, I am interested in topics related to  

  • Human-centric Artificial Intelligence,

  • Human-in-the-loop Planning and Reinforcement, and

  • Probabilistic programming



PhD in Biomedical Engineering

Started as a master in September 2016
Transferred to PhD in January 2018


BSc in Electrical Engineering

September 2011 - June 2016


Teaching: Guest Lectures

Human-Centered System Design (MIE240)

Topic: Technology Design for the Aging Population
Winter 2021 - University of Toronto

Technology and the Future of Medicine

Topic: Self-driving cars & the future of healthcare

Fall 2019 - University of Alberta



Teaching: Teaching Assistantship

Human-Centered System Design (MIE240)

Tutorial & Marking Teaching Assistant

Winter 2020 & 2021

Introduction to Machine Learning (CSC311)

Tutorial and Marking Teaching Assistant

Fall 2020 - University of Toronto

Structured Learning and Inference (MIE1516)

Tutorial and Lab Teaching Assistant
Winter 2019 & 2020 - University of Toronto

Communications System

Marking Teaching Assistant
Winter 2016 - Sharif University of Technology

Digital Signal Processing

Project & Marking Teaching Assistant
Fall 2015 - Sharif University of Technology