Luc Lavoie

Cofondateur du GRIIS
Professeur agrégé en informatique à l’Université de Sherbrooke

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Présentation

Le professeur Luc Lavoie poursuit avec l’aide d’étudiantes et d’étudiants plusieurs projets de recherche liés à l’analyse, à la spécification, au développement et à l’entretien de systèmes informatisés pour les petites et moyennes organisations. Les bases de données sont au centre de ses intérêts tant en recherche qu’en enseignement. Il anime Μῆτις, un groupe de réflexion et de partage relatif à l’enseignement de l’informatique.

Supervision

Mohamed Amin Gaied

Étudiant de maitrise en génie logiciel sous la direction du Pr Luc Lavoie et de la Pre Christina Khnaisser

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Samuel Dussault

Doctorant en informatique sous la direction du Pr Jean-François Ethier et du Pr Luc Lavoie

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Maxime Beauchesne-Jolin

Étudiant de maitrise en informatique de la santé sous la direction du Pr Jean-François Ethier et du Pr Luc Lavoie

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Publications

2298129 Journal Article Luc Lavoie 1 apa 50 date desc year 1 1 title Lavoie L 701 https://testing.griis.ca/wp-content/plugins/zotpress/

Khnaisser, C., Looten, V., Lavoie, L., Burgun, A., & Ethier, J.-F. (2024). Building ontology-based temporal databases for data reuse: An applied example on hospital organizational structures. Health Informatics Journal, 30(2). Cite

Khnaisser, C., Lavoie, L., Fraikin, B., Barton, A., Dussault, S., Burgun, A., & Ethier, J.-F. (2022). Using an ontology to derive a sharable and interoperable relational data model for heterogeneous healthcare data and various applications. Methods of Information in Medicine, 61(S 02), e73–e88. https://doi.org/10.1055/a-1877-9498 Cite Download

Ecarot, T., Fraikin, B., Lavoie, L., McGilchrist, M., & Ethier, J.-F. (2021). A Sensitive Data Access Model in Support of Learning Health Systems. Computers, 10(3), 25. https://doi.org/10.3390/computers10030025 Cite Download

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2018). Generating relational database using ontology review : Issues, challenges and trends. International Journal of Advanced Computer Science and Applications (IJACSA), 9(6). Cite Download

2298129 Book Section Luc Lavoie 1 apa 50 date desc year 1 1 title Lavoie L 701 https://testing.griis.ca/wp-content/plugins/zotpress/

Khnaisser, C., Lavoie, L., Diab, H., & Ethier, J.-F. (2015). Data warehouse design methods review: Trends, challenges and future directions for the healthcare domain. In T. Morzy, P. Valduriez, & L. Bellatreche (Eds.), New Trends in Databases and Information Systems (pp. 76–87). Springer International Publishing. Cite Download Download

2298129 Conference Paper Luc Lavoie 1 apa 50 date desc year 1 1 title Lavoie L 701 https://testing.griis.ca/wp-content/plugins/zotpress/

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Ecarot, T., Fraikin, B., Lavoie, L., McGilchrist, M. M., & Ethier, J.-F. (2021). Learning health systems: An anonymous network routing protocol. In J. R. Almeida, A. R. Gonzalez, L. Shen, B. Kane, P. Soda, & J. L. Oliveira (Eds.), Proceedings of the IEEE Symposium on Computer-Based Medical Systems (Vols. 2021-June, pp. 562–567). https://doi.org/10.1109/CBMS52027.2021.00038 Cite

Ecarot, T., Dussault, S., Souid, A., Lavoie, L., & Ethier, J.-F. (2020). AppArmor For Health Data Access Control: Assessing Risks and Benefits. 2020 7th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), 1–7. https://doi.org/10.1109/IOTSMS52051.2020.9340206 Cite Download Download

Ecarot, T., Fraikin, B., Ouellet, F., Lavoie, L., McGilchrist, M. M., & Ethier, J.-F. (2020). Sensitive Data Exchange Protocol Suite for Healthcare. IEEE Symposium on Computers and Communications. IEEE Symposium on Computers and Communications, Rennes, France. Cite Download

Barton, A., Fabry, P., Lavoie, L., & Ethier, J.-F. (2019). LABO: An ontology for laboratory test prescription and reporting. Proceedings of the Joint Ontology Workshops 2019 (JOWO 2019), 1–9. Cite

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2017). Past Indeterminacy in Data Warehouse Design. In D. Benslimane, E. Damiani, W. I. Grosky, A. Hameurlain, A. Sheth, & R. R. Wagner (Eds.), Database and Expert Systems Applications (Vol. 10439, pp. 90–100). Springer, Cham. https://doi.org/https://doi.org/10.1007/978-3-319-64471-4_9 Cite Download

Khnaisser, C., Lavoie, L., & Ethier, J.-F. (2017). Unified bitemporal modelling framework for automatic data warehouse design. 28th International Conference on Database and Expert Systems Applications DEXA 2017. Cite

Barton, A., Khnaisser, C., Lavoie, L., & Ethier, J.-F. (2017). Ambiguities in medical bitemporalized relational databases: A referent tracking view. Proceedings of the Joint Ontology Workshops 2017, 2050, 1–5. Cite Download

Ethier, J.-F., Taseen, R., Lavoie, L., & Barton, A. (2016). Improving the semantics of drug prescriptions with a realist ontology. In P. Jaiswal, R. Hoehndorf, C. Arighi, & A. Meier (Eds.), Proceedings of the Joint International Conference on Biological Ontology and BioCreative (Vol. 1747, p. IT603:1-6). Cite Download

Khnaisser, C., Lavoie, L., Diab, H., & Ethier, J.-F. (2015). Data Warehouse Design Methods Review: Trends, Challenges and Future Directions for the Healthcare Domain. In T. Morzy, P. Valduriez, & L. Bellatreche (Eds.), New Trends in Databases and Information Systems (pp. 76–87). Springer International Publishing. Cite

2298129 Presentation Luc Lavoie 1 apa 50 date desc year 1 1 title Lavoie L 701 https://testing.griis.ca/wp-content/plugins/zotpress/

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Touré, A. W., & Lavoie, L. (2021, mai). Étude comparative de serveurs multi-terminologiques dans le contexte d'une plateforme d'échange de données ontologiquement annotées [Présentation orale]. 88e édition de l'Acfas - colloque 614 Le CIRIUS et les défis des systèmes de santé apprenants de demain. Cite

Khnaisser, C., Lavoie, L., & Ethier, J.-F. (2021). Partage des données de santé au Québec avec PARS3 : les systèmes de santé apprenants au service des citoyens [Présentation orale]. 88e édition de l’Acfas – colloque 614 Le CIRIUS et les défis des systèmes de santé apprenants de demain, Sherbrooke, Canada. Cite Download

Ethier, J.-F., & Lavoie, L. (2021). PARS3 : Relier les données de santé au sein du réseau Ensemble [Présentation orale]. 88e édition de l’Acfas – colloque 614 : Le CIRIUS et les défis des systèmes de santé apprenants de demain, Sherbrooke, Canada. Cite Download

Bungama, P. A., & Lavoie, L. (2021). Optimisation des requêtes relatives aux trajectoires de soin [Présentation par affiche]. 88e édition de l'Acfas – colloque 614 Le CIRIUS et les défis des systèmes de santé apprenants de demain, Sherbrooke, Canada. Cite

Cloutier, A.-M., Dussault, S., Lavoie, L., Vanasse, A., & Ethier, J.-F. (2018, April 27). Soutenir l’exploitation sécuritaire et transparente des dossiers médicaux électroniques au Québec avec PARS3 [Présentation par affiche]. Symposium sur l’accès aux données et les systèmes de santé apprenant, Longueuil, Canada. Cite Download Download

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2017). Unification des données par les connaissances. Méthode de construction d’un entrepôt de données historicisé de santé guidée par les ontologies [Présentation par affiche]. Association Francophone pour le savoir (ACFAS 2017), Montréal, Canada. Cite Download

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2017). Healthcare trajectories reconstruction with i2b2: issues and recommandations [Présentation par affiche]. i2b2 2017 European meeting, Paris, France. Cite Download

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2016). Méthode de construction d’entrepôts de données temporalisées guidée par les ontologies [Présentation par affiche]. Journée de l’école doctorale Pierre Louis de santé publique, Saint-Malo, France. Cite Download

Khnaisser, C., Lavoie, L., Diab, H., & Ethier, J.-F. (2015). Architecture et méthode de construction d’entrepôts de données au coeur des systèmes informationnels régionaux de santé. [Présentation par affiche]. Journée de la recherche de la Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Canada. Cite

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2015). Étude comparative des modèles temporels BCDM et DDLM dans le contexte d’entrepôt de données. [Présentation par affiche]. Colloque interfacultaire du REMDUS 2015, Sherbrooke, Canada. Cite

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2014). Génération automatisée de schémas relationnels bitemporels dans un contexte d’entrepôt de données [Présentation par affiche]. Journée scientifique de la Faculté des sciences, Université de Sherbrooke, Sherbrooke, Canada. Cite

2298129 Report Luc Lavoie 1 apa 50 date desc year 1 1 title Lavoie L 701 https://testing.griis.ca/wp-content/plugins/zotpress/

Khnaisser, C., Lavoie, L., Fraikin, B., Barton, A., Burgun, A., & Ethier, J.-F. (2019). Generating a relational database for heterogeneous data using an ontology. Cite Download

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2017). Unified bitemporal historicization framework [Technical Report]. Université de Sherbrooke (GRIIS). Cite

Khnaisser, C., Lavoie, L., Burgun, A., & Ethier, J.-F. (2017). Automated bitemporal database schema design with a unified framework (Rapport de Recherche No. RR0020A). Université de Sherbrooke. Cite Download

Khnaisser, C., Lavoie, L., Diab, H., & Ethier, J.-F. (2015). Data warehouse design methods review for the healthcare domain (Rapport de Recherche No. RR00012). Université de Sherbrooke. Cite Download

2298129 {:PU5B8ZHI} Thesis 1 apa 50 date desc year 1 1 title Lavoie L 701 https://testing.griis.ca/wp-content/plugins/zotpress/

Résumé

Formation

M. Sc., Université de Montréal, informatique