Centre for Urban Innovation @ Toronto Metropolitan University
Laboratory of Innovations in Transportation
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What We Do

Creating Cyber-Physical Future of Urban Mobility using Intelligent Technologies & Mathematics

AI, Machine Learning & Mobility

Developing contex-aware artificial intelligence for automated vehicles and interpretable machine learning for travel behaviour modelling.

Resilience, Cybersecurity, & Privacy

Digital and physical resilience of emerging transportation systems with a focus on cyber-security, privacy, and climate change.

Sustainable Smart Mobility

Distributed traffic management system with application in CAV routing, advanced on-demand transit, traffic management, & system optimization.

UrbanFlux, Sensing, & IoT

Ubiquitous sensors network for sensing multimodal traffic in real-time for complete streets.

Virtual Reality based Digital Twin

Virtual Immersive Reality Environment (VIRE) for travel behaviour experiments.

Recent Publications

Nazemi, M., Rababah, B., Ramos, D., Zhao, T., Farooq, B., 2024. Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality. Transportation Research Part C: Emerging Technologies.

Ansar, M.S., Alsaleh, N., Farooq, B., 2024. Driver Heterogeneity in Willingness to Give Control to Conditional Automation. Transportation Research Part F: Traffic Psychology and Behaviour.

Kamal, K., Farooq, B., 2023. Ordinal-ResLogit: Interpretable deep residual neural networks for ordered choices. Journal of Choice Modelling.

Almallah, R., Lopez, D., Badu-Marfo, G., Farooq, B., 2023. Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation. IEEE Access.

Alsaleh, N., Farooq, B., Zhang, Y., Farber, Z., 2023. On-demand transit user preference analysis using hybrid choice models. Journal of Choice Modelling.

Alsaleh, N., Farooq, B., 2023. Sustainability Analysis Framework for On-Demand Public Transit Systems. Scientific Reports.

Dehman, A., Farooq, B., 2023. Capacity Characteristics of Long-Term Work Zones on Signalized Intersection Approaches. Transportation Research Part A: Policy and Practice.

News

Our Team

We prioritize, value, and practice equity, diversity, and inclusion in our research, lab space, teaching, and engagements. We cherish kindness, integrity, excellence, innovation, commitment, and rigour. Before reaching out to us for any possible positions in our lab, please do consider that we are shamelessly uncompromising when it comes to abiding by our values. Link to lab’s statement of values.

Associate Professor

Canada Research Chair in Disruptive Transportation and Services

Morale Officer

Highly energetic

Postdoc Research Fellow

Senior Research Associate

PhD Student

PhD Student

PhD Student

PhD Student

PhD Student

PhD Student

MA Student

MSc Student

MSc Student

MEng Student

MASc Student

Undergraduate Research Assistant

Undergraduate Research Assistant

MASc Student, 2024

Postdoc Research Fellow, 2024

PhD Student, 2024

MASc Student, 2024

MASc Student, 2023

PhD Student, 2022

PhD Student, 2022

MASc Student, 2023

MEng Student

Senior Researcher

Undergraduate Research Assistant

Undergraduate Research Assistant

Postdoc Research Fellow

Postdoc Research Fellow, 2021

PhD Student, 2021

MEng Student, 2021

Undergraduate Research Assistant

Undergraduate Research Assistant, 2020

Undergraduate Research Assistant, 2020

Postdoc Research Fellow

Postdoc, 2020

MASc Student

MASc Graduate, 2019

MASc Student

MASc Graduate, 2019

Postdoc, 2019

MEng Student

MEng Graduate, 2019

Postdoc Research Fellow

Postdoc, 2019

Visiting graduate student

Visiting researcher, 2019

Undergraduate Research Assistant

PhD Student

PhD, 2020

Undergraduate Research Assistant, 2020

BSc Computer Science, Minor in Mathematics Graduate, 2020

Contact us

Office

Centre for Urban Innovation
CUI-330, Toronto Metropolitan University
44 Gerrard Street East, Toronto ON M5G 1G3, Canada

416 979-5000 ext 556456

bilal.farooq@torontomu.ca

@litrans_lab