NEWS

Research interests:

Data-driven optimization; Simulation; Robust optimization; Revenu management; Mixed integer linear/nonlinear programming; Discrete choice modelling; dynamic programming; non-linear optimization.

History

  1. 2016 - : Postdoctoral fellow, GERAD, Department of Mathematical and Industrial Engineering, Polytechnique Montreal
    Under Canada Excellence Research Chair in Data Science for Real-Time Decision-Making (held by Andrea Lodi).
  2. 2013 - 2015: Ph.D. in Operations Research, Department of Computer Science and Operation Research, University of Montreal.
    Dynamic programming approaches for estimating and applying large-scale discrete choice models. [pdf][Extended abstract]
    Advisors: Emma frejinger and Fabian Bastin.
    Dissertation Committee: Pierre L'Ecuyer (chair, UdeM), Patrice Marcotte (UdeM), Hani Mahmassani (Northwestern University).
  3. Nov - Dec, 2015: Visiting Scholar,
    Intelligent Transportation Systems laboratory, Massachusetts Institute of Technology.
  4. 2010 - 2012: M.Sc. in Operations Research, Department of Computer Science and Operation Research, University of Montreal.
    Revisiting optimization algorithms for maximum likelihood estimation.
    Advisors: Fabian Bastin and Michel Toulouse.
  5. 2004 - 2009: B.Sc. in Computer Science,
    School of information & communication technology
    Hanoi University of Technology, Viet Nam, June, 2009
[Academic CV]
[Professional CV]

Selected Awards

  1. PhD thesis on Dean's honor list, Faculty of Graduate and Postdoctoral studies (FESP), University of Montreal, May 2017.
  2. 2016 INFORMS-TSL Dissertation Prize (1st place) (the oldest and most prestigious honor for doctoral dissertations in the transportation science and logistics area)
  3. Graduate Student Best Paper Award, 3rd Symposium of the European Association for Research in Transportation, September 2014.
  4. J.A. Bombardier Excellence Award, FESP - UdeM, September 2015.
  5. Michael-Florian Scholarship, CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (December 2015).

Papers in refereed jounals

  1. Mai T., Fosgereau M., Frejinger E., A nested recursive logit for route choice analysis, Transportation Research Part B, 71(1):p.100-112, 2015.
  2. Mai T., Frejinger, E., Bastin, F., A misspecification test for logit based route choice models, Economics of Transportation, 4(4):p.215-226, 2015.
  3. Mai T., A method of integrating correlation structures for a generalized recursive route choice model, Transportation Research Part B, 93(1):p.146-161, 2016.
  4. Mai T., Bastin F., Frejinger E., A decomposition method for estimating complex recursive logit based route choice models, EURO Journal on Transportation and Logistics (2015): 1-23.
  5. Mai T., Frejinger E., Fosgerau M., Bastin F., A dynamic programming approach for quickly estimating large network-based MEV models, Transportation Research Part B: Methodological 98 (2017): 179-197.
  6. Zimmermann M., Mai T., Frejinger E. Bike route choice modeling using GPS data without choice sets of paths, Transportation Research Part C: Emerging Technologies 75 (2017): 183-196.
  7. Mai T. , Frejinger, E., Bastin, F. On the similarities between random regret minimization and mother logit: the case of recursive route choice models, Journal of Choice Modeling, forthcoming.

Working papers

  1. Mai T.. Robust maximum capture under random utility models.
  2. Mai T., Ta T.A. Robust staffing optimization in multi-skill call centers.
  3. Mai T., Lodi A. Solving large-scale competitive facility location under random utility maximization models. [Technical Report:PDF]
  4. Mai T., Ta T.A. Multi-skills staffing optimization via simulation, nonlinear regression and linear programming.
  5. Mai T., Lodi A. A global approach for assortment optimization under multinomial logit and random parameters.
  6. Bastin F., Liu Y., Cirillo C., Mai T., Transferring Time-Series Discrete Choice to Link-based Route Choice in Space: Estimating Vehicle Type Preference Using Recursive Logit Model.
  7. Mai T., Lodi A., An efficent algorithm for assortment optimization under parametric choice models and general business constraints.
  8. Mai T., Bastin F., Toulouse M. Structured quasi-Newton techniques for maximum likelihood estimation. [Technical Report:PDF]
  9. Yu X., Mai T., Ding J., Gao S., Frejinger E. A recursive routing policy choice model for stochastic networks.
  10. Ramos M. G., Mai T., Daamen W., Frejinger E., Hoogendoorn S. Modelling route choices in a congested network using revealed preference data .
  11. Mai T., Frejinger E. On the nested fixed point algorithm for recursive route choice models .

Links

  1. Canada Excellence Research Chair in Data Science for Real-Time Decision-Making
  2. Intelligent Transportation Systems Lab, MIT
  3. La Chaire CN en intermodalité des transports
  4. Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport (CIRRELT)
  5. Department of Computer Science and Operation Research
  6. Thuy Anh Ta (my wife - Ph.D. student at DIRO)

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