About me
I am an Associate Professor in computer science and member of the MEIG team at LASTIG - Gustave Eiffel University. Prior to this position, I have been a post-doctoral researcher in the Complex Networks team at LIP6 - Sorbonne University and in the Geovis Team at LASTIG - Gustave Eiffel University. I also served as a teaching and research assistant (ATER) respectively at Nantes University and La Rochelle University. I obtained my PhD from La Rochelle University in July 2021 with Jean-Loup Guillaume as supervisor. My thesis was about trajectory data analysis and modeling using complex network approaches.
My research mainly focuses on mobility data analysis. I am currently interested in representation learning for trajectory data, quality assessment and semi-supervised annotation for large mobility datasets, and in mobility network resilience. Besides mobility data analysis, I worked on natural language processing, synthetic data generation, and multi-agent simulation.
Publications
Journals
Synchronizing Histories of Exposure and Demography: The Construction of an
Agent-Based Model of the Ecuadorian Amazon Colonization and Exposure to
Oil Pollution Hazards.
N.L.J. Houssou, J.D. Cordero, A. Bouadjio-Boulic, L. Morin, N. Maestripieri, S. Ferrant,
M. Belem, J.I. Pelaez Sanchez, M. Saenz, E. Lerigoleur, A. Elger, B. Gaudou, L. Maurice,
M. Saqalli.
Journal of Artificial Societies and Social Simulation (2019). doi: 10.18564/jasss.3957.
International conferences
Comparing Marketing and Computer-Based Methods for Evaluating Online Reviews.
N.L.J. Houssou, J. Lallement, M. Coustaty, L. Béal.
Information and Communication Technologies in Tourism 2023, (p. 261).
Edit distance with Quasi Real Penalties: a hybrid distance for network-constrained trajectories.
N.L.J. Houssou, J.-L. Guillaume, A. Prigent.
In 2022 IEEE International Conference on Data Mining Workshops (ICDMW) (pp. 1045-
1053).
A graph based approach for functional urban areas delineation.
N.L.J. Houssou, J.-L. Guillaume, A. Prigent.
In Proceedings of the 34rd Annual ACM Symposium on Applied Computing, SAC 2019,
Limassol, Cyprus.
National conferences
Une approche basée graphes pour la détection de zones fonctionnelles urbaines.
N.L.J. Houssou, J.-L. Guillaume, A. Prigent.
19ème conférence Extraction et Gestion des Connaissances, EGC 2019, METZ,
France.(Nominé pour le prix du meilleur article applicatif.)
Review and comparison of similarity measures and community detection algorithm for clustering of network constrained trajectories.
N.L.J. Houssou, J.-L. Guillaume, A. Prigent.
8ème conférence Modèles et Analyses Réseau : Approches Mathématiques et Informatique,
Marami 2017, La Rochelle, France.
Teaching
2025-2026 - Gustave Eiffel University
- Algorithms and programming
- Database
- Advanced programming in C
- Web programming and Geomatics
Academic services
- (Since 2025) Reading group manager at LASTIG - Gustave Eiffel University
- (2024) Seminars organizer at Complex Network Team - LIP6 - Sorbonne University
- (2017 - 2018) Elected member of the L3i laboratory council (deputy representative of PHD students)
Talks
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(2023) Seminar on network-constrained trajectories analysis, LIP6 - Sorbonne University
Invited by Matthieu Latapy, I presented to the Complex Networks team a summary of my research work concerning the analysis of network-constrained trajectories. -
(2019) Seminar on functional urban areas delineation, Mathematical Institute - Oxford University
Invited by Renaud Lambiotte, I presented my work on functional urban areas delineation using mobility data (taxi trajectories) and socio-economic (points of interest).
Portfolio
