Omar Hassanin

Omar is currently pursuing his PhD at the University of Calgary under the supervision of Dr. Sayeh Bayat and Dr. Carolyn Emery, where his research focuses on how concussions affect the driving behaviours of youths. He integrates advanced tools such as artificial intelligence and driving monitoring systems to examine how driving performance evolves throughout recovery. His work is driven by a strong commitment to improving health and safety outcomes for young drivers.

He holds two Master’s degrees in Transportation Engineering. His first MSc, completed at Tongji University in 2022, centered on improving autonomous vehicle safety and performance, and resulted in a Chinese patent for his contributions. His second MSc, completed at the University of Calgary in 2024, investigated enhancements to the trip-based macroscopic fundamental diagram (MFD) and examined the macroscopic impacts of integrating connected and automated vehicles (CAVs).

Omar also brings industry experience from his role as a Data Analyst at SETS, where he worked with real-time traffic data, developed interactive mapping tools, and built analytical systems to support transportation planning and operations.

Peer Reviewed Publications

1. Hassanin O, Alizadeh S, Vrkljan B, Bayat S. Rule-Based Detection of Turns and Curves in Naturalistic Driving Using GPS and Gyroscope Data [J]. IEEE Sensors Letters, vol. 9, no. 3, pp. 1-4, October. 2025. (Impact Factor = 2.2)
2. O. Hassanin. Integrating queue dynamics into the trip-based macroscopic fundamental diagram, M.Sc. thesis, University of Calgary, Calgary, AB, Canada, Jan 2025. [Online].
3. Hassanin O, Wang X, Wu X, Xu X. Efficiency Performance and Safety Evaluation of the Responsibility-Sensitive Safety in Freeway Car-Following Scenarios Using Automated Longitudinal Controls [J]. Accident Analysis & Prevention, vol. 177, November. 2022. (Impact Factor = 6.49)
4. Qin D, Wang X, Hassanin O, et al. Operational Design Domain of Automated Vehicles for Crossing Maneuvers at Two-Way Stop-Controlled Intersections [J]. Accident Analysis & Prevention, vol. 167, March. 2022. (Impact Factor = 6.49)
5. Liu S, Wang X, Hassanin O, et al. Calibration and Evaluation of Responsibility-Sensitive Safety (RSS) in Automated Vehicle Performance During Cut-In Scenarios [J]. Transportation Research Part C: Emerging Technologies, vol. 125, pp. 1-15, Apr. 2021. (Impact Factor = 9.022)
6. Xu X, Wang X, Wu X, Hassanin O, et al. Calibration and Evaluation of the Responsibility-Sensitive Safety Model of Autonomous Car-Following Maneuvers Using Naturalistic Driving Study Data [J]. Transportation Research Part C: Emerging Technologies, vol. 123, pp. 1-17, Jan. 2021. (Impact Factor = 9.022)

Conference Presentations

1. Vrkljan, B., Bayat, S., Subramaniam, S., & Hassanin, O. From data to decisions: AI and in-vehicle monitoring of older drivers. Canadian Driving Rehabilitation and Transportation Conference. November 18-19, 2025. Ottawa, ON, CANADA.
2. Qin D, Wang X, Hassanin O, et al. Operational Design Domain of Automated Vehicles for Crossing Maneuvers at Two-Way Stop-Controlled Intersections [C]. Transportation Research Board 101th, Oct. 2021.
3. Hassanin O, Wang X, Wu X, Xu X. Performance and Safety Evaluation of Responsibility-Sensitive Safety in Freeway Car-Following Scenarios Using the Intelligent Driver Model and Model Predictive Control [C]. Transportation Research Board 100th, Oct. 2020.
4. Sun P, Wang X, Hassanin O, Zhu M.  Modeling Car-following Behavior on Freeways Considering Driving Style [C]. Transportation Research Board 100th, Oct. 2020.