Assistant professor at the Department of Operations and Decision Systems of Université Laval [→ OSD.ULaval]
At this time, this page lists a total of 24 (selected) projects I supervised and a total of 16 (selected) projects I cosupervised. Please note that I chose to exclude all projects prior to 2018. Of course, many of these projects are in collaboration with other researchers (some of the research groups I am or have been part of are listed in Section Related laboratories and research groups ).
By default, I only list the title of the project along with the diploma and completion dates in order to preserve the privacy of my students.
To my students: If you would like to have your name listed along with your project title, please contact me.
Intelligent decision support system for search and rescue [Système intelligent d’aide à la décision pour la recherche et
sauvetage]
Name withheld (Ph.D. in Operations Research, enrolled, Since F2023)
Successive optimizations in search and rescue [Optimisations successives en recherche sauvetage]
Ahmed Benader (Ph.D. in Operations Research, enrolled, Since F2023)
Data-driven mathematical modeling for search and rescue operations [Modélisation mathématique basée sur les
données pour les opérations de recherche et sauvetage]
Saeid Abbasiparizi (Ph.D. in Operations Research, ongoing, Since W2022)
Artificial intelligence for the support of patients with type 1 diabetes [Intelligence artificielle pour le support des
patients atteints de diabète de type 1]
Name withheld (M.Sc. in Operations Research, enrolled, Since F2023)
Reinforcement learning and combinatorial optimization for search and rescue coverage trajectories
[Apprentissage par renforcement pour la planification des trajectoires de couverture de recherche et de sauvetage]
Dominik Richard (M.Sc. in Computer Science, enrolled, Since F2023)
TBD [À déterminer]
Eya Nagazi (M.Sc. in Computer Science, enrolled, Since F2023)
Machine Learning for Industry 4.0 Applications [Apprentissage automatique pour l’industrie 4.0]
Tom Picherit (M.Sc. in Computer Science, ongoing, Since W2022)
Artificial intelligence and operations research to improve a decision support system for maritime search and rescue
[L’intelligence artificielle et la recherche opérationnelle pour améliorer un système d’aide à la décision pour la
recherche et le sauvetage maritime]
Thomas Laperrière-Robillard (M.Sc. in Operations Research, ongoing, Since W2022)
Data-Driven Corruption Detection [Détection de la corruption basée sur les données]
Louis-Alexis Pelletier Dubé (MBA in Business Analytics, ongoing, Since F2020 (part-time))
On a data-driven warm start procedure to speedup solvers for optimal route recommendations [Étude d’une
approche de démarrage à chaud basée sur les données de résolution pour l’accélération du processus de
recommandation d’itinéraires optimaux par un solveur]
Ahmed Benader (MBA in Business Analytics, completed, S2021–W2022 (part-time))
Using neural networks to estimate effort in analyzing software projects to improve project success [Utilisation de
réseaux de neurones pour estimer l’effort d’analyse des projets logiciels afin d’améliorer la réussite des projets]
Antonio Collante Caro (MBA in Business Analytics, completed, S2021)
Exploration of an automated data-driven approach to select starting solutions to improve optimal route planning
[Exploration d’une approche automatisée basée sur les données visant à choisir les solutions de départ pour améliorer
la planification d’itinéraires optimaux]
Name withheld (MBA in Business Analytics, completed, S2020–W2021 (part-time))
Predicting Marginal Values for Real Estate Buyers [Prédiction de la valeur marginale des acheteurs de propriétés]
Name withheld (MBA in Business Analytics, completed, F2019)
Human Resources Analytics: Identifying Information Needs [Analytique en ressources humaines: Identification des
besoins en information]
Name withheld (MBA in Business Analytics, completed, F2019)
Forecasting pharmaceutical retail demand [Prévision de la demande pharmaceutique au détail]
Kevin Vachon (MBA in Business Analytics, completed, S2019)
Supervised Learning for Maritime Search Operations Evaluation [Apprentissage supervisé pour l’évaluation
d’opérations maritimes de recherche]
Thomas Laperrière-Robillard (MBA in Business Analytics, completed, W2019–S2019 (part-time))
A Study of Thaw Period Forecasting in the Pulp and Paper Industry Context [Une étude de la prévision de la
période de dégel dans le contexte de l’industrie papetière]
Name withheld (M.Sc. in Logistics and Analytics, completed, 2018–2019)
Machine Learning Approach for Coverage Problems Preprocessing [Apprentissage automatique pour le prétraitement
des problèmes de couvertures]
Name withheld (MITACS Globalink) (Research Internship, Bachelor, enrolled, S2023)
Reinforcement Learning for Search and Rescue Coverage Path Planning [Apprentissage par renforcement pour la
planification des trajectoires de couverture de recherche et de sauvetage]
Dominik Richard (USRA – NSERC) (Research Internship, Bachelor, enrolled, S2023)
Modeling and Optimization for Search Operations – The Optimal Searcher Path Problem and its Variants
[Modélisation et optimisation pour les opérations de recherche – Le problème du chemin optimal du chercheur et ses
variantes]
Eya Nagazi (MITACS Globalink) (Research Internship, Bachelor, completed, S2022)
Experiments With a Machine Learning Approach for Coverage Problems Preprocessing [Expérimentations
avec une approche d’apprentissage automatique pour le prétraitement des problèmes de couvertures]
Samayan Bhattacharya (MITACS Globalink) (Research Internship, Bachelor, completed, S2022)
Leveraging Neural Networks for Search and Rescue Coverage Path Planning [Tirer parti des réseaux de neurones
pour la planification des chemins de couverture de recherche et de sauvetage]
Dominik Richard (USRA – NSERC) (Research Internship, Bachelor, completed, S2022)
A Machine Learning Approach to Optimization Problems Processing for Surveillance and Search Operations [Une
approche d’apprentissage automatique pour le traitement des problèmes d’optimisation pour les opérations de
surveillance et de recherche]
Vedant Bahel (MITACS Globalink) (Research Internship, Bachelor, completed, S2021)
Spatial Clustering and Possibility Areas for Maritime Search and Rescue Operations Optimization
[Regroupement spatial et aire de possibilité pour l’optimisation d’opérations de recherche et sauvetage maritime]
Vitaliy Kinakh (MITACS Globalink) (Research Internship, Bachelor, completed, S2019)
Municipal Asset Management [Gestion des actifs municipaux]
Name withheld (Ph.D. in Operations Research, enrolled, Since F2023)
Manufacturing process control framework 4.0 via machine learning, simulation and optimization [Cadre de
contrôle de processus manufacturiers 4.0 via apprentissage automatique, simulation et optimisation]
Jean-Thomas Sexton (passage accéléré au doctorat en cours) (Ph.D. in Computer Science, ongoing, Since
W2023)
Decision Support for Type I Diabetes Patients [Aide à la décision pour les patients diabétiques de type I]
Carlo Reillen Lima Martin (Ph.D. in Operations Research, ongoing, Since S2020)
Modeling and analysis of the control process of a robotic welding cell and traceability [Modélisation et analyse du
processus de pilotage d’une cellule robotisée de soudage et traçabilité]
Kimia Payami (M.Sc. in Industrial Engineering, ongoing, Since F2022)
Reinforcement learning for intelligent wood dryer control [Apprentissage par renforcement pour un contrôle
intelligent du séchoir à bois]
François-Alexandre Tremblay (M.Sc. in Computer Science, ongoing, Since F2020)
Smart planer control using a machine learning approach [Contrôle d’une raboteuse intelligente par une approche
d’apprentissage automatique]
Jean-Thomas Sexton (passage accéléré au doctorat en cours) (M.Sc. in Computer Science, ongoing, Since
F2020)
Data-Driven Scheduling for a Robotized Welder [Ordonnancement basé sur les données pour une soudeuse robotisée]
Aminata Koné (M.Sc. in Operations Research, completed, S2020–F2022)
Deep learning for sawmill output prediction [Apprentissage profond pour la prédiction de la sortie d’une usine de
sciage]
Vincent Martineau (M.Sc. in Computer Science, completed, W2020–S2022)
Pricing in a Competitive Market Using Data Science [Fixation des prix dans un marché compétitif en utilisant les
techniques des sciences des données]
Abdelghani Bouaddi (MBA in Business Analytics, completed, S2021)
Adaptive predictive models for real-time decision support [Modèles prédictifs adaptatifs pour l’aide à la décision en
temps réel]
Brice Pegwendé Nikiema (MBA in Business Analytics, completed, S2021)
Development of a dashboard using a predictive model for strategic decision support [Développement d’un tableau de
bord utilisant un modèle prédictif pour l’aide à la décision stratégique]
Mohamed Ousmane Adamou (MBA in Business Analytics, completed, W2021)
A supervised learning-based feedback loop for adjusting the parameters of a smart planer [Une boucle de
rétroaction basée sur l’apprentissage supervisé pour l’ajustement des paramètres d’une raboteuse intelligente]
Name withheld (M.Sc. in Information Technology, completed, W2020–W2021)
An application of supervised learning to supply chain simulation in a serious game [Une application de
l’apprentissage supervisé à la simulation de chaîne d’approvisionnement dans les jeux sérieux]
Name withheld (M.Sc. in Supply Chain Management, completed, W2020)
Learning Pricing Strategies from Manufacturing-Based Market Simulations [Apprendre des stratégies de fixation de
prix à partir de simulations de marché manufacturier]
Name withheld (MBA in Business Analytics, completed, S2020)
Smart planer control using a machine learning approach [Contrôle d’une raboteuse intelligente par une approche
d’apprentissage automatique]
Jean-Thomas Sexton (Bachelor, completed, S2020)
Data Acquisition for a Planing Line with Continuous Re-Drying [Acquisition de données pour une ligne de rabotage
avec reséchage en continu]
Name withheld (Bachelor, completed, S2019)
Here is a list of some of the courses I taught over the years:
For a given semester, the (R) suffix indicates that I had the responsibility for the course, but did not teach it.
Below, you will find a list of some of my services to the scientific community.
2019
Co-chair of the Workshop on Constraint Modelling and Reformulation (ModRef)
2017
21st Conference of the International Federation of Operational Research Societies (IFORS)
2014
International Meeting of the European Working Group in Multiple Criteria Decision Aid (EWG-MCDA)
2023
AAAI Conference on Artificial Intelligence (AAAI), 4 reviews
2022
AAAI Conference on Artificial Intelligence (AAAI), 6 reviews
2021
Workshop on Constraint Modelling and Reformulation (ModRef), 1 review
2020
International Joint Conference on Artificial Intelligence (IJCAI), 2 reviews
Workshop on Constraint Modelling and Reformulation (ModRef), 2 reviews
2019
International Joint Conference on Artificial Intelligence (IJCAI), 4 reviews
Workshop on Constraint Modelling and Reformulation (ModRef), 3 reviews
2018
AAAI Conference on Artificial Intelligence (AAAI), 6 reviews
International Joint Conference on Artificial Intelligence (IJCAI), 4 reviews
Planning, Search, and Optimization (PlanSOpt, ICAPS workshop), 1 review
2017
International Joint Conference on Artificial Intelligence (IJCAI), 6 reviews
2016
International Joint Conference on Artificial Intelligence (IJCAI), 5 reviews
2023
International Journal of Production Research (IJPR), 1 review
2021
International Journal of Production Economics (IJPE), 2 reviews
2020
International Journal of Production Economics (IJPE), 2 reviews
2018
European Journal of Operational Research (EJOR), 1 review
2017
Constraints, 2 reviews
IEEE Transactions on Instrumentation & Measurement, 2 reviews
2016
Constraints, 1 review
2015
European Journal of Operational Research (EJOR), 2 reviews
2014
Artificial Intelligence Journal (AIJ), 1 review
Canadian Aeronautics and Space Journal (CASJ), 1 review
2013
Artificial Intelligence Journal (AIJ), 1 review
2011
European Journal of Operational Research (EJOR), 1 review
2023
IFAC World Congress 2023 (IFAC WC 2023), 1 review
2015
AAAI Conference on Artificial Intelligence (AAAI), 1 review
International Conference on Principles and Practice of Constraint Programming (CP), 1 review
2014
International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2
reviews
2013
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1 review
2012
International Conference on Principles and Practice of Constraint Programming (CP), 1 review
2011
IEEE International Conference on Control & Automation (ICCA), 1 review
International Joint Conference on Artificial Intelligence (IJCAI), 1 review
For each category, the links are in alphabetical order.
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