MELLOULI, Sehl

Professeur titulaire
Département des systèmes d’information organisationnels, Université Laval

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Expertises

Acquisition de données (images et nuages de points LiDAR et bathymétrique)
Traitement d’images
Intelligence artificielle
Réalité géospatiale augmentée
Modélisation 3D
Fusion de données géospatiales

Projets Étudiants Publications

En vedette

Montuwy, Angélique

Qualité des données géospatiales à la Ville de Hampstead

Laboratoire REPER 3D

Laboratoire Lab Vie-Cité

Tous les projets en cours

Étudiants supervisés

3e cycle

Kamara, Benogo Mamourou (codirection)
Sujet : Chaîne de blocs et information géographique à l'ère de la ville intelligente

Marzouki, Amal (direction)
Sujet : Towards an exclusive e-Participation technology : a context-based publicparticipation based on a web mapping geovisualization platform

Aouadi, Inès (direction)
Sujet : Conception et modélisation d'un système de recommandation dans le cadre des assurances

2e cycle

Stagiaires

Diplômés

Publications récentes

A. Marzouki, S. Mellouli, S. Daniel (2022) Understanding issues with stakeholders participation processes : A conceptual model of SPPs' dimensions of issues, Government Information Quarterly, Janvier 2022
Marzouki, A.; Mellouli, S.; Daniel, S. The Identification of Stakeholders Living Contexts in Stakeholder Participation Data: A Semantic, Spatial and Temporal Analysis. Land 2022, 11, 798. https://doi.org/10.3390/land11060798
Marzouki, A., S. Mellouli, S. Daniel, 2019, A qualitative framework for data collection and analysis in Participation processes, Proceeding dg.o 2019, 20th Annual International Conference on Digital Government Research, Dubai, United Arab Emirates, June 18-20 2019, pp. 398-408
Hamza, K.., S. Mellouli, 2018, Background on Frameworks for Policy Analytics, In: Gil-Garcia J., Pardo T., Luna-Reyes L. (ed(s)), Policy Analytics, Modelling, and Informatics. Part of the Public Administration and Information Technology book series (vol. 24), Springer
Ben Sassi, I., S. Ben Yahia, S. Mellouli, 2017, Fuzzy Classification-Based Emotional Context Recognition from Online Social Networks Messages, 2017 IEEE Conference on Fuzzy Systems, 9-12 July, Naples, Italy
Ben Sassi, I., S. Ben Yahia, S. Mellouli, 2017, User-based Context Modeling for Music Recommender Systems, 23rd International Symposium on Methodologies for Intelligent Systems, 26-29 June, Warsaw, Poland
Ben Sassi, I., S. Mellouli, Ben Yahia, S., 2017, Context-aware recommender systems in mobile environment: On the road of future research, Information Systems, Vol. 72, pp. 27-61
Corbett, J. and S. Mellouli, 2017, Winning the SDG battle in cities: how an integrated information ecosystem can contribute to the achievement of the 2030 sustainable development goals, Information Systems Journal, Vol. 27, No. 4, pp. 427-461
Marzouki A., Mellouli S., Daniel S., 2017, Towards a context-based public participation approach, 10th International Conference on Theory and Practice of Electronic Governance ICEGOV2017, 7-9 March, New Dehli, Inde
Marzouki, A., F. Lafrance, S. Daniel, S. Mellouli, 2017, The relevance of geovisualization in Citizen Participation processes, 18th International Digital Government Research Conference (dg.o 2017), 7-9 June, New York, USA
Klabi., H., Mellouli., K., et Mellouli., S., 2013, Towards a Realistic Multi-agent Based Negotiation Model, Information Systems Research
Mellouli, S., Poulin, D., Karuranga, E., Daou, A., et Fatou, T, 2013, E-Government in Outlying Regions: A Managers' Perspective, Information Polity

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