Michael Michael Morin Michael's FSA page Michael's Linkedin profile Michael's Academia profile Michael's Google Scholar profile Michael's Research Gate profile Email Michael

On this site:

Welcome

I’m an assistant professor at the Department of Operations and Decision Systems of Université Laval. My research focuses on the (joint) application of optimization and machine learning in decision-making contexts for the development of state-of-art AI-based decision systems.

My research interests are:
My virtual home at the Faculty of Business Administration of Université Laval is
I maintain the following Linkedin profile and the following academic profiles Please use the following email address for correspondance purposes: Email Michael michael.morin@fsa.ulaval.ca

On this page:
[Current position]
[Research, students, and alumni]
[Teaching]
[Services to the research community]
[Related links]

Michael 1

Current position

Assistant professor at the Department of operations and decision systems of Université Laval [ OSD.ULaval]

Research, students and alumni

At this time, this page lists a total of 11 (selected) projects I supervised and a total of 10 (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.

Last update: May 2021.

Graduate students I supervised

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]
Name withheld (MBA in Business Analytics, ongoing, Since Spring 2021 )

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]
Name withheld (MBA in Business Analytics, ongoing, Since Spring 2021)

Data-Driven Corruption Detection [Détection de la corruption basée sur les données]
Name withheld (MBA in Business Analytics, ongoing, Since Autumn 2020 (part-time))

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, Spring 2020–Winter 2021 (completed 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, Autumn 2019)

Human Resources Analytics: Identifying Information Needs [Analytique en ressources humaines: Identification des besoins en information]
Name withheld (MBA in Business Analytics, completed, Autumn 2019)

Forecasting pharmaceutical retail demand [Prévision de la demande pharmaceutique au détail]
Name withheld (MBA in Business Analytics, completed, Spring 2019)

Supervised Learning for Maritime Search Operations Evaluation [Apprentissage supervisé pour l’évaluation d’opérations maritimes de recherche]
Name withheld (MBA in Business Analytics, completed, Winter 2019–Spring 2019 (completed 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)

Graduate students I cosupervised

Decision Support for Type I Diabetes Patients [Aide à la décision pour les patients diabétiques de type I]
Name withheld (Ph.D. in Operations Research, ongoing, Since Spring 2020)

Reinforcement learning for intelligent wood dryer control [Apprentissage par renforcement pour un contrôle intelligent du séchoir à bois]
Name withheld (M.Sc. in Computer Science, ongoing, Since Autumn 2020)

Smart planer control using a machine learning approach [Contrôle d’une raboteuse intelligente par une approche d’apprentissage automatique]
Name withheld (M.Sc. in Computer Science, ongoing, Since Autumn 2020)

Data-Driven Scheduling for a Robotized Welder [Ordonnancement basé sur les données pour une soudeuse robotisée]
Name withheld (M.Sc. in Operations Research, ongoing, Since Spring 2020)

Deep learning for sawmill output prediction [Apprentissage profond pour la prédiction de la sortie d’une usine de sciage]
Name withheld (M.Sc. in Computer Science, ongoing, Since Winter 2020)

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, ongoing, Since Winter 2020)

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, Spring 2020)

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, Winter 2020)

Undergraduate students I supervised

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]
Name withheld (Research Internship, Bachelor, ongoing, Spring 2021)

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]
Name withheld (Research Internship, Bachelor, completed, Spring 2019)

Undergraduate students I cosupervised

Smart planer control using a machine learning approach [Contrôle d’une raboteuse intelligente par une approche d’apprentissage automatique]
Name withheld (Bachelor, completed, Spring 2020)

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, Spring 2019)

Teaching

Here is a list of some of the courses I taught over the years:

Services to the research community

Below, you will find a list of some of my services to the scientific community.

Organizational committee member

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)

Program committee member

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

Reviewer for scientific journals

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

Reviewer for scientific conferences with peer-reviewed publications

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

Related links

For each category, the links are in alphabetical order.

Related laboratories and research groups

Canadian associations and organizations

International associations and organizations

Other

Université Laval [ULaval]
University of Toronto [UToronto]


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Last update: May 1, 2021
© Michael Morin, 2008-2021