Dr. Sayeh Bayat, PhD
Schulich School of Engineering, Department of Biomedical Engineering
Schulich School of Engineering, Department of Geomatics Engineering
Hotchkiss Brain Institute
O'Brien Institute for Public Health
For media enquiries, contact
Media Relations and Communications Specialist
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]".
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.
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
Participation in university strategic initiatives
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.
In the News
- Seeking Early Signals of Dementia in Driving and Credit Scores. The New York Times. (2021)
- How your driving might reveal early signs of Alzheimer's. BBC News. (2021)
Are you the profile owner?
Login to edit.