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Michael Morin

Michael
Morin

Associate Professor

Department of Operations and Decision Systems
FSA ULaval
Pavillon Palasis-Prince
Local 2515

Fields of Interest and Research

  • Artificial intelligence, n.e.c.
  • Mathematical optimization
  • Combinatorial and network optimization (including programming and metaheuristics)
  • Machine learning
  • Statistical learning

Education

  • Postdoctoral Fellow, University of Toronto
  • Postdoctoral Fellow, Laval University
  • Doctorate in computer science (Ph. D.), Laval University
  • Master in computer science (M. Sc.), Laval University
  • Bachelor in Computer Science (B. Sc.), Laval University

Publications

Articles

  • Neumann, A., Zghal, Y., Cremona, M. A., Hajji, A., Morin, M., & Rekik, M. (2025). A data-driven personalized approach to predict blood glucose levels in type-1 diabetes patients exercising in free-living conditions. Computers in Biology and Medicine, 190, 110015. DOI : 10.1016/j.compbiomed.2025.110015
  • Sexton, J.-T., Morin, M., Georges, R., Abasian, F., & Gaudreault, J. (2024). Wood planer control: Predictive and prescriptive approaches via Automatic State Matching Gaussian processes. Engineering Applications of Artificial Intelligence, 132, 107843. DOI : 10.1016/j.engappai.2024.107843
  • Tremblay, F.-A., Durand, A., Morin, M., Marier, P., & Gaudreault, J. (2024). Deep reinforcement learning for continuous wood drying production line control. Computers in Industry, 154, 104036. DOI : 10.1016/j.compind.2023.104036
  • Martineau, V., Morin, M., Gaudreault, J., Thomas, P., El-Haouzi, H. B., & Khachan, M. (2023). An Image is Worth 10,000 Points: Neural Network Architectures and Alternative Log Representations for Lumber Production Prediction. Computers in Industry, 151, 103964. DOI : 10.1016/j.compind.2023.103964
  • Morin, M., Abi-Zeid, I., & Quimper, C.-G. (2023). Ant colony optimization for path planning in search and rescue operations. European Journal of Operational Research, 305(1), 53-63. DOI : 10.1016/j.ejor.2022.06.019
  • Chabanet, S., Bril El Haouzi, H., Morin, M., Gaudreault, J., & Thomas, P. (2023). Toward digital twins for sawmill production planning and control: Benefits, opportunities, and challenges. International Journal of Production Research, 61(7), 2190-2213. DOI : 10.1080/00207543.2022.2068086
  • Laperrière-Robillard, T., Morin, M., & Abi-Zeid, I. (2022). Supervised learning for maritime search operations: An artificial intelligence approach to search efficiency evaluation. Expert Systems with Applications, 206, 117857. DOI : 10.1016/j.eswa.2022.117857
  • Morin, M., Gaudreault, J., Brotherton, E., Paradis, F., Rolland, A., Wery, J., & Laviolette, F. (2020). Machine learning-based models of sawmills for better wood allocation planning. International Journal of Production Economics, 222(107508). DOI : 10.1016/j.ijpe.2019.09.029
  • Morin, M., Castro, M. P., Booth, K. E. C., Tran, T. T., Liu, C., & Beck, J. C. (2018). Intruder alert! Optimization models for solving the mobile robot graph-clear problem. Constraints, 23(3), 335-354. DOI : 10.1007/s10601-018-9288-3

Chapters in Collective Works

  • Morin, M., Papillon, A. P., Abi-Zeid, I., Laviolette, F., & Quimper , C.-G. (2012). Constraint programming for path planning with uncertainty: Solving the optimal search path problem. Principles and Practice of Constraint Programming. Lecture Notes in Computer Science (pp. 988-1003). Springer Berlin Heidelberg. doi : 10.1007/978-3-642-33558-7_70.
  • Morin, M., Lamontagne, L., Abi-Zeid, I., & Maupin, P. (2010). The Ant Search Algorithm: An Ant Colony Optimization Algorithm for the Optimal Searcher Path Problem With Visibility. In Farzindar, A., Kešelj, V. (Ed). Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science (pp. 196-207). Springer Berlin Heidelberg. doi : 10.1007/978-3-642-13059-5_20.

Communications in a Conference with Proceedings

  • Neumann, A., Cremona, M. A., Hajji, A., Morin, M., & Rekik, M. (2025). Exploring the recent applications of artificial intelligence techniques for type-1 diabetes management. Operations Research and Artificial Intelligence in Healthcare Management.
  • Sexton, J.-T., Morin, M., Giguère, P., & Gaudreault, J. (2025). Fast(er) robust point cloud alignment using lie algebra. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China (PRC).
  • Esmaeilpour, A., Morin, M., & Abi-Zeid, I. (2025). Toward blackbox optimization for maritime search and rescue. Proceedings of the International ISCRAM Conference, Halifax, Canada.
  • Neumann, A., Zghal, Y., Cremona, M. A., Morin, M., Hajji, A., Rekik, M., Moalla, E., & Mtiri, M. A. (2025). A comparative study of data-driven and personalized models trained to predict blood glucose levels of type-1 diabetes patients exercising in free-living conditions. CIRRELT Optimization Days 2025, Montréal, Canada.
  • Duhem, L., Benali, M., Morin, M., & Gaudreault, J. (2024). A comparative study of price-driven production control methods using a sawmill simulator. 2024 Winter Simulation Conference (WSC), Orlando, United States of America.
  • Payami, K., Lehoux, N., Cloutier, C., & Morin, M. (2024). Planning and scheduling of robotic welding processes in the rolling stock industry: A literature review. 7th International Conference on Logistics Operations Management, GOL'24, Morocco.
  • Neumann, A., Rekik, M., Morin, M., Hajji, A., & Pellerin, R. (2023). Ordonnancement dynamique et contrôle intelligent d'un robot industriel. CIGI Qualita MOSIM 2023, Québec, Canada.
  • Picherit, T., Lampron, L.-P., Morin, M., Caron-Guillemette, G., & Gaudreault, J. (2023). Supervised recommendations of gas metal arc welding parameters. 36th Canadian Conference on Artificial Intelligence (CAIAC), Montréal, Canada.
  • Ménard, M.-A., Morin, M., Khachan, M., Gaudreault, J., & Quimper, C.-G. (2023). Learn, compare, search: One sawmill’s search for the best cutting patterns across and/or trees. Learning and Intelligent Optimization, France.
  • Sexton, J.-T., Morin, M., & Gaudreault, J. (2022). Vine copula-based data generation for machine learning with an application to industrial processes. Neurips workshop on synthetic data for empowering ML research (SyntheticData4ML), United States of America.
  • Sexton, J.-T., Morin, M., Georges, R., Abasian, F., & Gaudreault, J. (2022). Automatic State Matching Gaussian Process Ensemble for Wood Planer Control. 10th IFAC Conference on Manufacturing Modelling, Management and Control, Nantes, France.
  • Chabanet, S., Thomas, P., El Haouzi, H. B., Morin, M., & Gaudreault, J. (2021). A kNN approach based on ICP metrics for 3D scans matching: an application to the sawing process. 17th IFAC Symposium on Information Control Problems in Manufacturing, Budapest, Hungary.
  • Martineau, V., Morin, M., Gaudreault, J., Thomas, P., & Bril El Haouzi, H. (2021). Neural Network Architectures and Feature Extraction for Lumber Production Prediction. 23rd Canadian Conference on Artificial Intelligence, Online, Canada.
  • Martineau, V., Gaudreault, J., Morin, M., & Vallerand, S. (2021). Quality of sawmilling output predictions according to the size of the lot - The size matters!. International Conference on Industrial Engineering and Quality (CIGI-Qualita21), Grenoble, France.
  • Abi-Zeid, I., Morin, M., & Nilo, O. (2019). Decision Support for Planning Maritime Search and Rescue Operations in Canada. Proceedings of International Conference on Enterprise Information Systems, Vol. 1. 316-327, Heraklion, Greece (Best paper award, Artificial Intelligence and Decision Support Systems), Heraklion, Greece.
  • Morin, M., Castro, M. P., Booth, K. E. C., Tran, T. T., Liu, C., & Beck, J. C. (2018). Intruder Alert! Optimization Models for Solving the Mobile Robot Graph-Clear Problem. Proceedings of the 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2018), Delft, Netherlands (The).
  • Selma, C., Bril El Haouzi, H., Thomas, P., Gaudreault, J., & Morin, M. (2018). An Iterative Closest Point Method for Measuring the Level of Similarity of 3D Log Scans in Wood Industry. Proceedings of the 7th Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA 2017), Nantes, France.
  • Morin, M., Abi-Zeid, I., Quimper, C.-G., & Nilo, O. (2017). Decision support for search and rescue response planning. Proceedings of the 10th International Conference on Information Systems for Crisis Response and Management, Albi, France.
  • Abi-Zeid, I., Léger, L., Morin, M., Grondin, M., Pleau, F., & Thomopoulos, R. (2017). Explaining the Results of an Optimization-Based Decision Support System – A Machine Learning Approach. Hohchreiter, R. (Ed.), Post Proceedings of the APMOD Conference, ITM Web of Conferences, Brno, Czechia.
  • Morin, M., Thomopoulos, R., Abi-Zeid, I., Léger, M., Grondin, F., & Pleau, M. (2016). Explaining the Results of an Optimization-Based Decision Support System: A Machine Learning Approach. Proceedings of the 12th International Conference on Applied Mathematical Programming and Modeling (APMOD 2016), Brno, Czechia.
  • Morin, M., Paradis, F., Rolland, A., Wery, J., Gaudreault, J., & Laviolette, F. (2015). Machine learning-based metamodels for sawing simulation. Proceedings of the 2015 Winter Simulation Conference (WSC 2015), Huntington Beach, United States of America.
  • Simard, F., Morin, M., Quimper, C.-G., Laviolette, F., & Desharnais, J. (2015). Bounding an optimal search path with a game of cop and robber on graphs. International Conference on Principles and Practice of Constraint Programming. CP 2015 - Lectures Notes in Computer Science, Ireland.
  • Simard, F., Morin, M., Quimper, C.-G., Laviolette, F., & Desharnais, J. (2014). Relaxation of the Optimal Search Path Problem with the Cop and Robber Game. Doctoral Program of the 20th Conference on Principles and Practice of Constraint Programming, Lyon, France.
  • Morin, M., & Quimper, C.-G. (2014). The Markov Transition Constraint. International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming (CPAIOR 2014), Cork, Ireland.
  • Morin, M., Abi-Zeid, I., Petillot, Y., & Quimper, C.-G. (2013). Coverage Path Planning With Imperfect Lateral Detection. Proceedings of the IEEE / RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan.
  • Morin, M., Abi-Zeid, I., Nguyen, T. T., Lamontagne, L., & Maupin, P. (2013). Search and Surveillance in Emergency Situation - A GIS Based Approach to Construct Near-Optimal Visibility Graphs. Proceedings of the 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2013), Baden-Baden, Germany.
  • Morin, M., Abi-Zeid, I., Petillot, I., & Quimper, C.-G. (2013). A hybrid algorithm for coverage path planning with imperfect sensors. Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference.
  • Abi-Zeid, I., Morin, M., & Nguyen, T. T. (2011). Multicriteria Planning of Ground Search and Rescue Operations. Actes de la 73e Journée Européenne Aides multicritères de décision - MCDA, Corte, France.
  • Abi-Zeid, I., Nilo, O., Schvartz, S., & Morin, M. (2010). Towards a knowledge-based system prototype for aeronautical Search and Rescue operations. The 13th International Conference on Information Fusion (FUSION), Edimburg, United Kingdom.
  • Morin, M., Lamontagne, L., Abi-Zeid, I., Lang, P., & Maupin, P. (2009). The optimal searcher path problem with a visibility criterion in discrete time and space. Proceedings of the 12th International Conference on Information Fusion, Seattle, United States of America.

Communications in a Conference Without Proceedings

  • Morin, M., Laperrière-Robillard, T., & Abi-Zeid, I. (2025). Optimization of Maritime search operations: Metamodels to the rescue. CORS Annual Conference, Edmonton, Canada.
  • Laperrière-Robillard, T., Morin, M., & Abi-Zeid, I. (2025). Machine learning for search and rescue decision support. 11th International Conference on Decision Support System Technology, Belgrade, Serbia.
  • Abbasiparizi, S., & Morin, M. (2025). An optimal multi-searcher search problem with deconfliction constraints. Journée de l optimisation / Optimization Days, Montréal, Canada.
  • Esmaeilpour, A., Morin, M., & Abi-Zeid, I. (2025). Bringing modeland-solve back into Maritime search and rescue mission planning. Journée de l optimisation / Optimization Days, Montréal, Canada.
  • Neumann, A., Zghal, Y., Cremona, M. A., Hajji, A., Morin, M., & Rekik, M. (2025). A data-driven personalized approach to predict blood glucose levels in type-1 diabetes patients exercising in free-living conditions. Journée de l optimisation / Optimization Days, Montréal, Canada.
  • Richard, D., Morin, M., & Quimper, C.-G. (2025). Iterated local search for coverage path planning in mine countermeasure operations. Journée de l optimisation / Optimization Days, Montréal, Canada.
  • Deschênes, A., Georges, R., Subakan, C., Ugulino, B., Henry, A., & Morin, M. (2025). Planing it by ear: Convolutional neural networks for acoustic anomaly detection in industrial wood planers. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India.
  • Deschênes, A., Georges, R., Subakan, C., & Morin, M. (2025). A case study on acoustic anomaly detection for a wood planing machine dataset. IWMS, Florence, Italy.
  • Abbasiparisi, S., Morin, M., & Abi-Zeid, I. (2024). A benders decomposition algorithm for the overland search and rescue problem considering search area selection. 25th International symposium on mathematical programming (ISMP 2024), Montréal, Canada.
  • Abbasiparisi, S., Morin, M., & Abi-Zeid, I. (2024). An overland search and rescue problem with search area selection and path optimization. Canadian Operations Society Annual Conference (CORS), London, Canada.
  • Duhem, L., Ben Ali, M., Gaudreault, J., & Morin, M. (2024). Assessing the potential of market prices to drive sawing decisions. IISE Annual conference and expo, Montréal, Canada.
  • Morin, M. (2024). Machine learning and optimization: Industrial and humanitarian applications. Canadian workshop on constraint programming, artificial intelligence, and operations research, Montréal, Canada.
  • Abbasiparisi, S., Morin, M., & Abi-Zeid, I. (2024). Solving an optimal search path problem considering search area selection using GRASP and benders decomposition algorithms. Journée de l’optimisation / Optimization days, Montréal, Canada.
  • Richard, D., Morin, M., & Quimper, C.-G. (2024). A hybrid dynamic programming and local search algorithm for coverage path planning with imperfect extended detection. Journée de l’optimisation / Optimization days, Montréal, Canada.
  • Morin, M. (2024). Apprentissage machine et optimisation: quand deux tiens valent mieux qu’un tu l’auras. Semaine numériQC, Québec, Canada.
  • Morin, M. (2024). Systèmes intelligents et intelligence artificielle: un survol des concepts et des méthodes au-delà des prédictions. Presented by the Société canadienne de recherche opérationnelle SCRO-Québec in collaboration with the Department of Operations and Decision Systems & the Center for Research on Modeling, Information and Decision (CERMID) of the Faculty of Business Administration, Université Laval, Québec, Canada.
  • Morin, M. (2023). L’intelligence artificielle: vers de meilleures décisions et davantage d’automatisation en scierie. Ateliers-conférences sur la transformation du bois – CIFQ, Québec, Canada.
  • Morin, M., Laperrière-Robillard, T., & Abi-Zeid, I. (2023). Metamodels of a search simulator for maritime search operations efficiency evaluation. INFORMS Annual Meeting, Phoenix, United States of America.
  • Abbasiparisi, S., Morin, M., & Abi-Zeid, I. (2023). An overland search and rescue problem with search area selection. CORS Annual Conference / Optimization Days, Montréal, Canada.
  • Morin, M. (2023). Démystifier l’intelligence artificielle: Définition et applications en scierie. Carrefour Forêts, Québec, Canada.
  • Morin, M., Abi-Zeid, I., & Quimper, C.-G. (2023). Ant colony optimization for path panning in search and rescue operations. INFORMS Annual Meeting, Seattle, United States of America.
  • Kone, A., Ménard, M.-A., Rekik, M., Morin, M., & Quimper, C.-G. (2022). Ordonnancement d’une cellule robotisée de soudage 4.0. Journées de l’optimisation / Optimization Days, Montréal, Canada.
  • Dorval, C., Savard, C., Cadorette, A., Daignault, F., Morin, M., Abi-Zeid, I., & Gilbert, E. (2022). Identifying Gender Differences on the Autism Diagnostic Observation Scale: Preliminary Results. International Society for Autism Research annual Meeting, Austin, United States of America.
  • Garzon, C., Hudon, P.-A., Morin, M., & Pelletier-Dubé, L. -. (2021). Les méthodes de l'indice des risques de corruption et de la détection d'anomalies pour mesurer les risques de corruption dans les marchés publics à partir des données du SEAO. Congrès de l'ACFAS.
  • Martineau, V., Morin, M., & Gaudreault, J. (2021). Anticiper la production associée au débitage d'un lot de billots. Expo-Forac, Québec, Canada.
  • Morin, M. (2019). Discussion Panel on Artificial Intelligence in Business Administration. Journée de l'intelligence artificielle (IA) en sciences de l'administration (IAScA).
  • Morin, M., Castro, M. P., Booth, K. E. C., Tran, T. T., Liu, C., & Beck, J. C. (2019). Optimizing Surveillance Routes for a Team of Robots : Solving the Graph-clear. INFORMS International Meeting, Seattle, United States of America.
  • Gaudreault, J., & Morin, M. (2019). Vers l'avenir en transformation : Développer des outils de planification intelligent pour le pilotage des usines 4.0. Expo-Forac, Québec, Canada.
  • Morin, M. (2019). Apprentissage automatique pour l'allocation du bois aux usines de sciage. Expo-conférence FORAC, Québec, Canada.
  • Morin, M., Gaudreault, J., Brotherton, E., Paradis, F., Rolland, A., Wery, J., & Laviolette, F. (2018). Anticiper la production du sciage pour une meilleure allocation forêt-usine. Expo-Forac, Québec, Canada.
  • Morin, M. (2018). Learning from data to feed and to understand optimization-based decision support systems: application cases”. Conférence du CIRRELT, Québec, Canada.
  • Morin, M., Thomopoulos, R., Abi-Zeid, I., Léger, M., Grondin, F., & Pleau, M. (2017). Mining Candidate Solutions to Understand the Results of an Optimization-Based Decision Support System. 21st Conference of the International Federation of Operational Research Societies (IFORS 2017), Québec, Canada.
  • Moisan, T., & Morin, M. (2016). Constraint Programming Approaches to the Robot Cleaning Problem. 58th CORS Annual Conference (CORS 2016), Banff, Canada.
  • Morin, M., Abi-Zeid, I., & Nilo, O. (2016). The Multiple Rectangular Search Areas Problem and Its Application to Maritime Search and Rescue. 58th Canadian Operational Research Society Annual Conference (CORS 2016), Banff, Canada.
  • Morin, M., Gaudreault, J., & Laviolette, F. (2016). Prédiction du panier de produits issu de la transformation d'une bille en scierie (Predicting the Basket of Products Resulting from the Transformation of a Log at Sawmills). Expo-Forac, Québec, Canada.
  • Morin, M., Paradis, F., Rolland, A., Gaudreault, J., & Laviolette, F. (2015). Machine Learning and the Log Breakdown Problem. CORS/INFORMS International Meeting, Montréal, Canada.
  • Morin, M., & Quimper, C.-G. (2015). Introducing the Markov Transition Constraint (MTC). CORS/INFORMS International Meeting, Montréal, Canada.
  • Morin, M., Fruitet, A., Abi-Zeid, I., & Quimper, C.-G. (2014). Bicriteria Trajectory Planning in Demining Operations. CORS Annual Conference, Ottawa, Canada.
  • Morin, M. (2013). Constraint Programming for Path Planning with Uncertainty: Solving the Optimal Search Path Problem. The 9th Summer School of the Association of Constraint Programming / 1st International Optimisation Student Symposium, Kiola, Australia.
  • Morin, M., Lamontagne, L., Abi-Zeid, I., & Mauphin, P. (2012). Introducing Lexicographic and Pareto Ant Search to Solve the Multi-Criteria OSPV Problem. Optimization Days, Montréal, Canada.
  • Abi-Zeid, I., Morin, M., & Nguyen, T. T. (2011). « Vers une planification multicritère dans le cadre de missions de recherche et sauvetage terrestres ». 73rd Meeting of the European Working Group MCDA, Corte, France.
  • Morin, M. (2011). Vers des outils d'aide à la décision pour la planification d'opérations de recherche. 3e Forum VRM-Analyse multicritère et territoire, Montréal, Canada.
  • Morin, M., & Papillon, A. P. (2011). On Using Cop-Win Strategies to Solve the Optimal Search Path Problem with Visibility. 11th Canadian Undergraduate Mathematics Conference (CUMC), Québec, Canada.
  • Abi-Zeid, I., Nilo, O., Schvartz, S., & Morin, M. (2010). Towards a Knowledge-Based System Prototype for Aeronatical Search and Rescue Operations. 13th International Conference on Information Fusion 9FUSION), Edinburgh, United Kingdom.
  • Morin, M., Lamontagne, L., Abi-Zeid, I., & Maupin, P. (2010). The Ant Search Algorithm: Path Planning for Search and Rescue. MITACS/CORS Annual Conference, Edmonton, Canada.
  • Abi-Zeid, I., Lamontagne, L., & Morin, M. (2009). Multicriteria path planning for Search and Rescue: The Optimal Searcher Path Problem with Visibility. CORS/INFORMS International Meeting, Toronto, Canada.
  • Morin, M., Lamontagne, L., & Abi-Zeid, I. (2009). Multi-Criteria Path Planning for Search and Rescue: A Multi-Criteria Formulation for the Optimal Searcher Path Problem with Visibility. MITACS Annual Conference, Fredericton, Canada.

Presentations at a Research Seminar

  • Morin, M. (2019). L'ABC de l'intelligence artificielle dans le domaine de la santé. École d'été franco-canadienne en gestion des services de santé (GSS), Québec, Canada.
  • Morin, M. (2016). Machine Learning for Decision Making. Toronto Intelligent Decision Engineering Laboratory (TIDEL), Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
  • Morin, M. (2015). A Hybrid Algorithm for Coverage Path Planning with Imperfect Sensors (Un algorithme hybride pour la planification de chemins couvrants avec capteurs imparfaits). Département d'informatique et de génie logiciel, Université Laval, Québec, Canada.
  • Morin, M. (2013). On Constraint Programming for Path Planning with Uncertainty (Sur la programmation par contrainte pour la planification de chemins sous incertitude). Département d’informatique et de génie logiciel, Université Laval, Québec, Canada.
  • Morin, M. (2011). La planification monocritère et multicritère de pland de recherche : un survot du problème de l'OSPV (Optimal Searcher Path Problem with Visibility). Département d’informatique et de génie logiciel, Université Laval, Québec, Canada.
  • Morin, M., Lamontagne, L., & Abi-Zeid, I. (2010). Planification de chemins dans le contexte de la recherche sauvetage. MITACS-OSD Seminar Series, Québec, Canada.

Publication Reviews

  • Abi-Zeid, I., Nilo, O., Schvartz, S., & Morin, M. (2010). Towards a Knowledge-Based System Prototype for Aeronatical Search and Rescue Operations. 13th International Conference on Information Fusion.

Research Reports

  • Abi-Zeid, I., Nilo, O., & Morin, M. (2018). Developing Search Optimization Methodologies for the Canadian Coast Guard Maritime Search and Rescue, Detailed Methodology SAROptimizer - ASPT, Canadian Coast Guard, Fisheries and Oceans Canada, 102 pages.
  • Abi-Zeid, I., Nilo, O., & Morin, M. (2016). Developing Search Optimization Methodologies for the Canadian Coast Guard Maritime Search and Rescue, Preliminary Methodology for the Maritime ASPT software, Canadian Coast Guard, Fisheries and Oceans Canada, 22 pages.
  • Abi-Zeid, I., Nilo, O., & Morin, M. (2016). Developing Search Optimization Methodologies for the Canadian Coast Guard Maritime Search and Rescue, Final Requirement Specifications - SAR Optimizer, Canadian Coast Guard, Fisheries and Oceans Canada, 43 pages.
  • Morin, M., Abi-Zeid, I., & Lamontagne, L. (2010). An algorithm for the optimal search path with visibility problem, Report III, prepared for Defence R&D Canada - Valcartier, 20 pages.

Postings

  • Sexton, J.-T., Gaudreault, J., & Morin, M. (2025). Spatial augmented reality for industrial assembly assistance, Technology Management for Smart, Open, Responsible Organizations and Ecosystems (IAMOT. [Poster].
  • Deschênes, A., Georges, R., Subakan, C., Ugulino, B., Henry, A., & Morin, M. (2025). Planing it by ear: Convolutional neural networks for acoustic anomaly detection in industrial wood planers. [Poster].
  • Picherit, T., Lampron, L.-P., Morin, M., Caron-Guillemette, G., & Gaudreault, J. (2023). Supervised recommendations of gas metal arc welding parameters, 4e École dété du Réseau SDG Innovation, Drummondville, QC, Canada. [Poster].
  • Picherit, T., Morin, M., Gaudreault, J., & Lampron, L.-P. (2022). Supervised Learning For Gas Metal Arc Welding Parameters Recommendations, Second International Innovation 5.0 Forum and Exhibition. “Beyond Industry 4.0/5.0: Towards a Smart-Digital-Green Society”. [Poster].
  • Sexton, J.-T., Morin, M., Georges, R., Abasian, F., & Gaudreault, J. (2022). Automatic state matching gaussian process ensemble for wood planer control, Second international innovation 5.0 forum and exhibition "Beyond industry 4.0/5.0: Towards a smart-digital-green society". [Poster].
  • Sexton, J.-T., Morin, M., & Gaudreault, J. (2022). Vine copula based data generation for machine learning with an application to industrial processes, vine copula based data generation for machine learning with an application to industrial processes. [Poster].
  • Dorval, C., Cadorette, A., Giroux, C., Savard, C., Morin, M., Ruiz, A., Abi-Zeid, I., & Gilbert, E. (2021). “Analyse descriptive des différences de genre dans l’évaluation systématique du trouble du spectre de l’autisme dans l’ADOS”. 43e congrès annuel de la Société Québécoise pour la Recherche en Psychologie (SQRP 2021). [Poster].
  • Morin, M., Castro, M. P., Booth, K. E. C., Tran, T. T., Liu, C., & Beck, J. C. (2018). Intruder Alert! Optimization Models for Solving the Mobile Robot Graph-Clear Problem. [Poster].
  • Morin, M., Paradis, F., Rolland, A., Wery, J., Gaudreault, J., & Laviolette, F. (2015). Machine Learning-Based and Data in Sawing Simulation. [Poster].
  • Simard, F., Morin, M., Quimper, C.-G., Laviolette, F., & Desharnais, J. (2015). Bouding an Optimal Search Path with a Game of Cop and Robber on Graphs. [Poster].
  • Morin, M., Papillon, A. P., Laviolette, F., Abi-Zeid, I., & Quimper, C.-G. (2012). Constraint Programming for Path Planning with Uncertainty: Solving the Optimal Search Path Problem. [Poster].

Miscellaneous

  • Beaudoin, D., Gaudreault, J., Lebel, L., Morin, M., Ronnqvisk, M., Lehoux, N., & Giguère, P. (2022). EDITORIAL - Our future is here (Notre avenir est arrivé), Info-Forac.
  • Morin, M., & Gaudreault, J. (2020). EXTENDED ABSTRACT - Configuring and operating a smart sawmill (Configuration et pilotage d’une scierie intelligente), Info-Forac.
  • Morin, M. (2017). Anticipating Lumber Production for a Better Wood Allocation. Info-FORAC.
  • Morin, M. (2016). Foreseeing the Products of Sawmilling. Info-FORAC.
  • Morin, M. (2015). Search and Coverage Path Planning, Ph. D. Thesis. Université Laval.
  • Morin, M. (2010). « Introducing Multi-Criteria Path Planning wiht Terrain Visibility Constraints: The Optimal Searcher Path Problem with Visibility. » Proceedings of the XV ELAVIO.
  • Morin, M. (2010). Multi-Criteria Path Planning with Terrain Visibility Constraints: The Optimal Searcher Path Problem with Visibility. Université Laval.
  • Abi-Zeid, I., Morin, M., & Lamontagne, L. (2010). An algorithm for the optimal search path with visibility problem, Report III, prepared for Defence R&D Canada - Valcartier, by MITACS.

Other researchers

  • Michel Guillot
  • Monia Rekik
  • Jonathan Gaudreault
  • Claude-Guy Quimper
  • Ygal Bendavid

Other researchers

Other researchers

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