YU -AlKhobar

Dr. Fayyaz Khan

Assistant Professor of Management

Biography:

Fayyaz Khan is an Assistant Professor in the College of Business at Al Yamamah University, where he teaches Operations Management and Quantitative Methods for Business. He earned his PhD in Business from The University of Sydney Business School (Institute of Transport and Logistics Studies) with research focusing on decision-making under risk and uncertainty.

Fayyaz combines academic expertise with practical consulting experience. At Kantar Insights Australia, he served as Senior Client Manager and Analytics Manager, applying advanced statistical analysis and predictive modelling to guide business strategy. He also worked as a Senior Consultant at KPMG Australia, leading projects on forecasting, economic evaluation, and data-driven decision-making for a range of clients. Prior to that, he held research positions at The University of Sydney Business School, contributing to projects on customer preferences, travel behavior, and innovation in logistics.

His expertise spans quantitative and qualitative research methods, experimental design, and data visualization. He has particular strengths in Discrete Choice Modelling, market share forecasting, and multivariate statistical analysis. His work has been published in high-ranking international journals, and he regularly presents at leading academic conferences. At Al Yamamah, Fayyaz is passionate about connecting rigorous research with practical business applications, equipping students with both analytical skills and real-world insights.

Publications:

  1. Merkert, R., Hess, S., Bliemer, M. C. J., & Fayyaz, M. (under revision). The importance of human-to-human (H2H) interactions in metropolitan and regional last-mile delivery services. Transportation Research Part E: Logistics and Transportation Review.
  2. Amani Rad, J., Hess, S., Hancock, T., Bliemer, M., Beck, M., Fayyaz, M., & Ben-Elia, E. (under review). Where does this road go? Insights from reinforcement learning models on route choice behaviour. Transportation Research Part B: Methodological.
  3. Merkert, R., Bliemer, M.C.J., & Fayyaz, M. (2022). Consumer preferences for innovative and traditional last-mile parcel delivery. International Journal of Physical Distribution & Logistics Management, 52(3), 261-284. (ABDC: A)
  4. Fayyaz, M., Bliemer, M. C. J., Beck, M. J., Hess, S., & van Lint, J. W. C. (2021). Stated choices and simulated experiences: Differences in the value of travel time and reliability. Transportation Research Part C: Emerging Technologies, 128, 103145. (ABDC: A*)
  5. Özen, M., Fayyaz, M., & Tüydeş Yaman, H. (2020). Factors affecting the capacity utilization of road freight transport in Turkey. Teknik Dergi/Technical Journal of Turkish Chamber of Civil Engineers, 31(2), 9813–9832.

Conferences:

  1. Amani Rad, J., Hess, S., Hancock, T., Bliemer, M., Beck, M., Fayyaz, M., & Ben-Elia, E. (2025). Reinforcement learning models of route choice: Bridging mathematical psychology and travel behavior. Paper accepted for presentation at the International Conference on Mathematical Psychology (ICCM 2025), Philadelphia, PA, USA.
  2. Hess, S., Hancock, T., Choudhury, C., Mushtaq, F., Mon-Williams, M., Bliemer, M., Beck, M., Fayyaz, M., Amani Rad, J., & Markkula, G. (2024). Paving the way for using neuroscience models in behavioural modelling: Application of the active inference/free energy paradigm on immersive data. Paper presented at the Foundations of Utility and Risk Conference (FUR 2024), Brisbane, Australia.
  3. Hess, S., Hancock, T., Choudhury, C., Mushtaq, F., Mon-Williams, M., Bliemer, M., Beck, M. & Fayyaz, M. (2022). Using a mathematical representation of brain processes to explain decision making: Adapting the free energy/active inference principle for travel behaviour modelling. 16th International Conference on Travel Behaviour Research, Santiago, Chile.
  4. Bliemer, M., Beck, M., Fayyaz, M. & Hess, S. (2022). Route choice decisions under travel time uncertainty with experiential learning in a simulated environment. 16th International Conference on Travel Behaviour Research, Santiago, Chile.
  5. Fayyaz, M., Bliemer, M., Beck, M., & Hess, S. (2019). Route Choice Behavior in Stated Choice Experiments—With and Without Consequences. Transportation Research Board 98th Annual Meeting, Washington DC, United States.
  6. Fayyaz, M., Bliemer, M., Beck, M., Rutström, E. E., Hess, S., & Lint, J. W. van. (2019). Route choice behaviour under travel time uncertainty accounting for learning via description- and experience-based feedback. 6th International Choice Modelling Conference, Kobe, Japan.
  7. Fayyaz, M., Abate, M. A., Tuydes-Yaman, H., & Ozen, M. (2018). Determinants of Capacity Utilization in Road Freight Transport–The Case of Turkey. Transportation Research Board 97th Annual Meeting, Washington DC, United States.
  8. Fayyaz, M., Bliemer, M., & Beck, M. (2017). Investigating travel choice behaviour: A new approach using interactive experiments with driving simulators. 16th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Sao Paulo, Brazil.

Teaching:

  • MGT 330 Operations Management
  • MGT 304 Quantitative Methods for Business

Services:

  • Reviewer for academic journals and conferences including Transportation Research Part E: Logistics and Transportation Review, the Journal of Air Transport Management, and the Transportation Research Board Annual Meeting.
  • Contributor to Australian Research Council (ARC)-funded projects at the University of Sydney, focusing on transport, logistics, and behavioural decision-making.
  • Member of international research collaborations with the University of Sydney, TU Delft, the University of Leeds, and Monash University.
  • Industry engagement through consulting roles at KPMG Australia and Kantar Insights Australia, applying analytics and modelling to strategic and operational problems.

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