Biography

Starting in January 2018, Shabnam is a PhD candidate in Biomedical Engineering with IATSL working with Dr. Alex Mihailidis. Her thesis explores the use of automated vehicles by older adults with and without cognitive impairments with the ultimate objective to propose design solutions that can make automated vehicles more usable and acceptable by older adults. She is currently an Highly Qualified Person with AGE-WELL Network and a post-graduate affiliate at Vector Institute of Artificial Intelligence. Her primary research interest lies in reinforcement learning, man-machine interactions, and human compatibility of artificial intelligence.

Shabnam started her MASc at IATSL in the fall of 2016 and she fast-tracked to pursue a PhD. Prior to that, she obtained her bachelor's degree in electrical engineering from Sharif University of Technology, where she specialized in biomedical signal processing. For her bachelor's thesis project, she developed an emotion recognition algorithm based on the electroencephalograms of 20 subjects, with a potential application of using the algorithm for children with Autism spectrum disorders.

Publications

Journals

Furlan, A., Kajaks, T., Tiong, M., Lavallière, M., Campos, J., Babineau, J., Haghzare, S., Ma, T. and Vrkljan, B., (2020). Advanced Vehicle Technologies and Road Safety: A Scoping Review of Evidence. Journal of Accident Analysis and Prevention, 147, 105741.

Conference Proceedings

Rapoport, M.J., Haghzare, S., Campos, J., Stasiulis, E., Naglie, G., Mihailidis A. on behalf of the CCNA Driving Cessation Team Co-Investigators and CCNA Study Group. 2020. Investigating the abilities of people with dementia and Mild Cognitive Impairment to take over and resume driving control from an automated vehicle. Canadian Academy of Geriatric Psychiatry Annual Scientific Meeting. Accepted.
Haghzare, S., Campos, J., Mihailidis, A. 2020. Towards a Framework of Detecting Mode Confusion in Automated Driving: Examples of Data from Older Drivers. In Adjunct Proceedings of the 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’20), ACM, 4-7.
Haghzare S., Bak K., Campos J., Mihailidis A. 2019. Factors Influencing Older Adults’ Acceptance of Fully Automated Vehicles. In Adjunct Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’19), ACM, 135-139.
Lavallière, M., Vrkljan, B., Abbas, H.H., Babineau, J., Campos, J., Haghzare, S., Kajaks, T., Tiong, M., Vo, M. and Furlan, A. 2019. Comment les systèmes de sécurité active actuellement disponibles permettent d’entrevoir la voiture du futur pour les conducteurs vieillissants. 2e Rencontres Francophones Transport Mobilité (RFTM). Montreal, QC, CA.
Haghzare S., Campos J. L. , Mihailidis A. 2018. Identifying the Factors Influencing Older Adults’ Perceptions of Fully Automated Vehicles. In Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’18). ACM, 98-103.
Furlan A., Vrkljan B., Hussein Abbas H., Babineau J., Campos J., Haghzare S., Kajaks T., Tiong T.,Vo M., Lavalliere M. 2018. The Impact of Advanced Vehicle Technologies on Older Driver Safety: A Scoping Review of Subjective Outcomes. In Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’18). ACM, 186-191.

Workshops

Haghzare, S., Campos, J., Mihailidis A. 2020. Automated Vehicles as Assistive Technologies: An outline of the promises and challenges of using automated vehicles to extend the safe driving of older adults with dementia. In Workshop on Inclusive Communication between Automated Vehicles and Vulnerable Road Users. 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2020).