Dr. Sayeh Bayat, PhD

Pronouns: She/Her
Sayeh Bayat

Assistant Professor

Schulich School of Engineering, Department of Geomatics Engineering

Full Member

Hotchkiss Brain Institute

Media contacts

Joe McFarland
Media Relations and Communications Specialist

Cell: +1.403.671.2710
Email: Joe.Mcfarland@ucalgary.ca

Web presence


Office: ENE221

Graduate Supervision

Students who have interests in Artificial Intelligence and GIScience, and strong writing, programming, and statistical skills should email me a brief description of their background and skillset, as well as a copy of your current CV with the subject line “Graduate Student Application – [Your Name]"

Undergraduate Research Opportunities

Undergraduate students who are interested in pursuing summer/part-time research programs or research project courses with me should email me a brief description of their skillset, as well as a copy of your current resume with the subject line “Undergraduate Student Application – [Your Name]"

Postdoc Opportunities

Prospective applicants who have completed their Ph.D. degree (or will have soon), with Artificial Intelligence as a key component of their recent research should email me a brief description of their background and skillset, as well as a copy of your current CV with the subject line “Postdoctoral Application – [Your Name]".  Experience in GIScience and building machine learning models using datasets in health and geospatial disciplines would be an asset.

For all other matters, please contact me via email.


Educational Background

BASc Engineering Science , University of Toronto, 2016

PhD Biomedical Engineering, University of Toronto, 2021


Sayeh Bayat is an Assistant Professor in the Departments of Geomatics Engineering and Biomedical Engineering, a member of the Hotchkiss Brain Institute (HBI) in the Cumming School of Medicine, and the director of the Healthy City Laboratory (HCL) at the University of Calgary. Dr. Bayat's research integrates innovative methods from engineering, machine learning, and geographic information science to create context-aware solutions for healthcare. This cross-disciplinary effort, to this date, has resulted in innovative techniques to study people in the context of their everyday environments, and new insights into the relationship between mobility behaviours and cognitive functions. Through her work, Dr. Bayat aims to explore whether a human-centric approach to machine learning can assist in the detection, diagnosis, monitoring, and treatment of health problems including dementia. Current specific interests include automobile technology, driving behaviours and mobility in older adults and individuals with dementia. Prior to joining the University of Calgary, Dr. Bayat obtained her PhD in Biomedical Engineering and her bachelor’s degree in Engineering Science (Aerospace Minor) all from the University of Toronto. Her PhD thesis investigated the extent to which GPS mobility can be used to explain, influence, and/or predict dementia.


Areas of Research

Artificial Intelligence, Smart Cities, Health Monitoring, Mobility and Driving, Healthy Aging


Naturalistic Driving Behaviours as a Digital Biomarker of Biological Alzheimer Disease

In collaboration with the DRIVES Research Team at Washington University in St. Louis, we are exploring methods from Artificial Intelligence (AI) and Geographic Information Science (GIS) to investigate the long-term impact of Alzheimer's disease (AD) on driving behaviour and driving cessation among individuals with and without preclinical AD.