Group for Research in Decision Analysis

The last issue of the Newsletter is now available. Enjoy!
* Spotlights on ... - GERAD’s development: A family history
* Actions and interactions - Epidemic models and the COVID-19
* Impact papers - O. Arslan et al’s, Intercepting the unlawful vehicles in transportation networks
* Collaborations - Incentivizing commuters to carpool: A large field experiment with Waze
* Where are they now? - Loïc Bodart, Tekogan Hemazro, Filippo Malandra
* Postdoctoral fellows - Imène Benkalai, Shuang Gao, Paulin Jacquot, Aleksandr M. Kazachkov

The third edition of the scientific writing activity just ended. The goal of this activity is to experiment the publication process of a scientific paper by mimicking the submission of a paper and peer reviewing. This year again, several students took part in the activity to develop their writing skills. The final submissions have been evaluated by a jury of professors that have highlighted the high quality of the works submitted. We wish to congratulate the winners of this year’s activity:

  • 1st place, tie: Gabriel Homsi for his paper "Dynamic and Stochastic Rematching for Ridesharing Systems: Formulations and Reductions"
  • 1st place, tie: Jørgen Skålnes for his paper "A new formulation for the inventory routing problem"
  • 2nd place: Peyman Kafaei for his paper "Deep Q-learning for simultaneous Beam Orientation and trajectory optimization for Cyberknife"
  • 3rd place: Nazgol Niroumandrad for her paper "A Reinforcement Tabu Search Algorithm"
  • Honorable mention: Tayeb Mhamedi for his paper "A Branch-Price-and-cut algorithm for the two echelon vehicle routing problem with time windows"

A summary of the winners’ work is available hereafter.

Congratulations are in order for all the participants of this year and for the quality of their work! We welcome all students to join us next year for the fourth edition of the writing activity!

The organizers,
Marilène, Matthieu and Rosemarie 

Maxime Larocque, a graduate of the Master of Business Intelligence (MSc) program, has received the 2019 Best Master’s Thesis Award.

Maxime Laroque’s thesis, "Sélection objective de variables à l’aide d’algorithmes génétiques ensachés" (Bagged genetic algorithms for objective variable selection), was co-directed by professors Jean-François Plante and Michel Adès (UQAM). The key innovative approach that was used and impressed the jury was founded on thorough, high-quality work.


Mehmet Gumus, Associate Professor at McGill University, created a web app for Covid-19 Analytics so that it calculates the expected end-date for COVID-19 for each country on a real-time basis. The expected end-date for each country is calculated based on the weekly geometric average of daily growth rates. At every hour, he receives new information and update his end-date prediction accordingly. Also, he calculates the expected end-date only for the countries whose new cases are trending down.

Here is the link for the updated website: