Current Team

This page lists the individuals who are currently working together with Bilal Farooq.

Melvin Wong

Ph.D. Student (Started September 2015)melvin2

melvin.wong@ryerson.ca

Website: https://mwong009.github.io/2018/08/16/about.html

Education

  • B.Eng in Computer Engineering
  • (Current) Ph.D. in Transportation Engineering

Research Interests

  • Advanced machine learning algorithms in Discrete Choice Analysis

Working Papers

  • A Random Regret Model as a Product of Experts. Extended Abstract submitted to 23rd International Symposium on Transportation and Traffic Theory.
  • Restricted Boltzmann Machine based Multiple Discrete Continuous Model for very Large Datasets.
  • Information theory and generative travel behaviour models.

Publications

  • Wong, M., Farooq, B., Bilodeau, G.-A., Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling, Journal of Choice Modelling (2018), https://doi.org/10.1016/j.jocm.2017.11.003.
  • Wong, M., Farooq B., Restricted Boltzmann Machine based Multiple Discrete Continuous Model for very Large Datasets. 15th International Conference on Travel Behavior Research (2018), Santa Barbara, CA.
  • Wong, M., Farooq, B., Sobhani, A., On the Use of Conditional Restricted Boltzmann Machine for Implicit Modeling of Latent Travel Behavior Characteristics. Presented at Transportation Research Board 97th Annual Meeting (2018), Washington, D.C.
  • Wong, M., Farooq, B., Sobhani, A., On the similarities between integrated choice and latent variable model (ICLV) and restricted Boltzmann machines. Presented at 22nd International Conference of Hong Kong Society for Transportation Studies (2017), Hong Kong, China.
  • Saadi, I., Wong, M., Farooq, B., Cools, M., Teller, J., Short-term demand estimation for ride-hailing systems using machine learning approaches. Presented at 21st International Federation of Operational Research Societies (2017), Quebec City, QC.
  • Wong, M., Farooq, B., Bilodeau, G.-A., Latent behaviour modelling using discriminative restricted Boltzmann machines. Presented at 5th International Choice Modelling Conference (2017), Cape Town, South Africa.
  • Wong, M., Farooq, B., Bilodeau, G.-A., Next Direction Route Choice Model for Cyclists Using Panel Data. Presented at Canadian Transportation Research Forum 51st Annual Conference (2016), Toronto, ON.

Arash Kalatin

Arash Kalatian

Ph.D. Student (started May 2017)

arash.kalatian@ryerson.ca

Education

  • B.A.Sc. in Civil Engineering
  • M.Sc. in Transportation Planning
    • Thesis: Determining mode of travel using cellphone data
  • (Current) Ph.D. in Transportation Engineering

Research Interests

  • New data collection methods (Ubiquitous networks, Immersive Virtual Reality)
  • Pedestrian behaviour analysis
  • Applications of Machine Learning in transportation

Working Papers

  • Ph.D. Thesis: Determining mode of travel using cellphone data
  • Systematic Behavioural Analysis of Pedestrian and Autonomous Vehicle Interactions using Virtual Immersive Reality Environment
  • Automated travel mode inference using ubiquitous Wi-Fi signals

Publications

  • Kalatian, B. Farooq, “Mobility Mode Detection Using WiFi Signals”, IEEE Smart Cities Conference (ISC2), Kansas, 2018.
  • Kalatian, A. Sobhani, B. Farooq, “Analysis of distracted pedestrians’ waiting time: Head Mounted Immersive Virtual Reality application”, 9th Pedestrian an Evacuation Dynamics, Lund, 2018.
  • “Systematic Behavioural Analysis of Pedestrian and Autonomous Vehicle Interactions using Virtual Immersive Reality Environment”, 15th International Conference on Travel Behaviour Research, 2018.
  • “Automated Travel Mode Inference Using Ubiquitous Wi-Fi Signals”, 15th International Conference on Travel Behaviour Research, Santa Barbara, 2018.
  • “Transportation Mode detection Using WiFi data”, ITS Canada ACGM, Niagara Falls, 2018.
  • Kalatian, A., & Shafahi, Y. (2016). Travel mode detection exploiting cellular network Data. In MATEC Web of Conferences (Vol. 81, p. 03008). EDP Sciences.

Shadi Djavadian

Post Doctoral Researcher (started August 2017)Shadi Djavadian

shadi.djavadian@ryerson.ca
Website: Google Scholar

Education

  • B.A.Sc. in Civil Engineering
  • M.Eng. in Transportation Engineering
  • Ph.D. in Transportation Engineering

Research Interests

  • End-to-End Dynamic Routing in Connected & Autonomous Vehicle Environment
  • Travel behaviour change mobility app
  • Transportation modeling and simulation
  • Applications of connected & autonomous vehicles
  • Flexible transportation systems
  • Traveler behavior modeling

Working Papers

  • Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment using Virtual Immersive Reality Environment
  • Shared connected & autonomous vehicles
  • Evaluation of factors affecting ride-sharing behaviourof travelers using SP pivoted RP survey
  • Estimation of cost function for ride-sharing services

Publications

  • Djavadian, S., Farooq, B., Vasques, R., & G. Yip (2019). Analysis of Behavioural Responses in Connected and Autonomous Vehicle Environment. Accepted for publication in IATBR 2018 conference book, titled: Mapping the Travel Behavior Genome.
  • Djavadian, S., Farooq, B., & L. Alfaseeh (2018). An End-to-End Distributed Routing System for Intelligent Vehicles. Under 2nd review.
  • Djavadian, S., & B., Farooq, (2018). Distributed Dynamic Routing Using Network of Intelligent Intersections. in Intelligent Transportation Systems Canada Annual General Meeting 2018 Conference, June 17-20, 2018.
  • Alfaseeh, L., Djavadian, S., and B. Farooq (2018). Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic. Proceedings of the fourth IEEE International Smart Cities Conference, Kansas City, September 2018.
  • Djavadian, S., & J.Y.J., Chow (2017). An agent-based day-to-day adjustment process for modeling ‘Mobility as a Service’ with a two-sided flexible transport market. Transportation Research Part B: Methodological, 104C, 36-57.
  • Djavadian, S., & J.Y.J., Chow (2017). Agent-based day-to-day adjustment process to evaluate dynamic flexible transport service policies. Transportmetrica B: Transport Dynamics, 5(3), 286-311.
  • Chow, J.Y.J., Djavadian, S., (2015). Activity-based market equilibrium for capacitated multimodal transport systems. Transportation Research Part C 59, 2-18.
  • Djavadian, S., Hoogendoorn, R.G., van Arem, B., & J.Y.J. Chow (2014). Empirical Evaluation of Drivers’ Route Choice Behavioural Responses to Social Navigation.  Transportation Research Record: Journal of the Transportation Research Board. 2423, 52-60.
  • El-Tantawy S., Djavadian, S., Roorda, M.J. & B. Abdulhai (2009). Safety Evaluation of Truck -Lane Restriction Strategies Using Micro-Simulation Modeling. Transportation Research Record: Journal of the Transportation Research Board. 123-131

Rafael Vasquez

Rafael Vasquez

Master Student (started September 2017)

rafael.vasquez@ryerson.ca

Education

  • (Current) M.A.Sc in Transportation Engineering
  • B.Sc. in Computer Science

Research Interests

  • Transportation, Autonomous Vehicle and Pedestrian Simulation

Working Papers

  • Virtual and Augmented Reality based travel behaviour analysis
  • Travel behaviour change app

Lama Al Faseeh

Ph.D. Student (started November 2017)Lama Al Faseeh

lalfaseeh@ryerson.ca

Education

  • B.Eng. in Civil Engineering
  • M.Sc. in Construction Project Management
  • PMP certified, PMI

Research Interests

  • Mixed traffic of human-driven vehicles and intelligent vehicles

Publications

  • L. Alfaseeh, S. Djavadian and B. Farooq, “Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic,” in IEEE Smart Cities Conference (ISC2), Kansas, 2018.
  • L. Alfaseeh, S. Djavadian and B. Farooq, “Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic,” in ITS Canada ACGM 2018, Niagara Falls, 2018.

Veronica Gluza

Undergraduate Researcher (started February 2018)veronica

vgluza@ryerson.ca

Education

  • B.Sc. in Computer Science, Minor in Mathematics (Current)

Research Interests

  • Machine learning, mathematical modelling, autonomous vehicles

Working Papers

  • Travel behaviour change app

Grace Yip

Undergraduate Researcher (started February 2018)

gyip@ryerson.ca

Education

  • H.B.Sc. in Biology and Psychology Double Major, Biocommunications Minor
  • (Current) B.Eng. in Civil Engineering

Research Interests

  • Undefined

David López Flores

Post Doctoral Researcher (started March 2018)david

david.lopez@ryerson.ca

Website: Google Scholar

Education

  • B.Sc. in Mathematics
  • M.Sc. in Systems engineering – Transport
  • Ph.D. in Systems engineering – Transport

Research Interests

  • Development of actively solicited large-scale data
  • Development of Advanced Traveller Information Systems
  • Multimodal shortest hyperpaths in the transit system of CU, Mexico [http://hiperpuma.iingen.unam.mx]

Working Papers

  • Blockchain applications in transportation
  • Behavioural change techniques in travel emissions

Publications

  • López, D. & Lozano, A. (2017). Shortest hyperpaths in a multimodal hypergraph with real-time information on some transit arrivals. Under-review
  • López, D. & Lozano, A. (2016). Transport network models for routing algorithms, 2016 IEEE 13th International Conference on Networking, Sensing, and Control (ICNSC) Pages 1-6, doi:10.1109/ICNSC.2016.7479011.
  • López, D. & Lozano, A. (2014). Techniques in Multimodal Shortest Path in Public Transport Systems, Transportation Research Procedia, Volume 3, 2014, Pages 886-894. doi:10.1016/j.trpro.2014.10.068.

Noah Lattari

Undergraduate Researcher (started May 2018)noah

noah.lattari@ryerson.ca

Website: http://noahlattari.com/

Education

  • B.Sc. in Computer Science, Minor in Mathematics (Current)

Research Interests

  • Computational neuro-science, cognitive science, Artificial Intelligence

Working Papers

  • I like the science of the brain and I wanna bridge the gap using computer science

Seyed Mehdi Meshkani

PhD Student (started May 2018)

mehdi

smeshkani@ryerson.ca

Education

  • B.A.Sc. in Civil Engineering

  • M.Sc. in Road and Transportation

  • (Current) Ph.D. in Transportation Engineering

Research Interests

  • Car-sharing and ride-sharing in Connected & Autonomous Vehicle Environment

  • Optimization problems in transportation networks

Working Papers

  • Decentralized Shared Connected and Autonomous Vehicle System for Dense Urban Networks: A Case study of Downtown Toronto.

Publications

  • Zarrinmehr, A., Meshkani, M., & Seyedabrishami, S. (2017). Surveillance camera location problem for route-flow observation in urban transportation networks: bi-level formulation and solution algorithm. International Journal of Systems Science: Operations & Logistics, 1-12.