Maître de conférence, IUT d’Annecy, Département Informatique, LISTIC
Contact
Courriel : christophe.lin-kwong-chon@univ-smb.fr
Bureau recherche : Polytech Annecy-Chambéry, 5 Chem. de Bellevue, 74940 Annecy
Bureau enseignement : IUT Annecy, 9 Rue de l’Arc en Ciel, 74940 Annecy
Thèmes de recherche
Machine learning, Deep learning, Expainability, Remote sensing
Publications
- 2024
- Pelous, E., Méger, N., Benoit, A., Atto, A., Ienco, D., Courteille, H., & Lin-Kwong-Chon, C. (2024). Explaining the decisions and the functioning of a convolutional spatiotemporal land cover classifier with channel attention and redescription mining. In ISPRS Journal of Photogrammetry and Remote Sensing (Vol. 215, pp. 256–270). Elsevier BV. https://doi.org/10.1016/j.isprsjprs.2024.06.021
- Lin-Kwong-Chon, C., Gallet, M., Kaushik, S., Trouvé, E. (2024). Supervised Classification For Analysis Of Cryospheric Zones Using SAR Statistical Timeseries. In International Geoscience and Remote Sensing Symposium (IGARSS2024), Jul 2024, Athens, Greece. https://hal.science/hal-04628785v1
- Lopez Uroz, L., Yan, Y., Benoit, A., Rabatel, A., Giffard-Roisin, S., & Lin-Kwong-Chon, C. (2024). Using Deep Learning for Glacier Thickness Estimation at a Regional Scale. In IEEE Geoscience and Remote Sensing Letters (Vol. 21, pp. 1–5). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/lgrs.2024.335357
- Sinapan, I., Lin-Kwong-Chon, C., Damour, C., Amangoua Kadjo, J.-J., & Benne, M. (2024). Revealing anodic multi-class bubble dynamics in PEMWE systems using deep learning and post-processing detection. In Fuel (Vol. 364, p. 131112). Elsevier BV. https://doi.org/10.1016/j.fuel.2024.131112
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Barkat, I., Lin-Kwong-Chon, C., Duclos, A., Carrel, M., Staehly, S., Périllat, C., Bourgeois, G., Lescurier, A., Fiandino, R., Bhanot, A., Pourraz, F. (2024). Optical Monitoring of Avalanche Release Zones in Bessans, Haute Maurienne Valley, France, with a Remote and Energy Self-Sufficient Camera System. In Proceedings of the International Snow Science Workshop (ISSW), Sept 2024, Tromso, Norway.
- 2023
- Sinapan, I., Lin-Kwong-Chon, C., Damour, C., Kadjo, J.-J. A., & Benne, M. (2023). Oxygen Bubble Dynamics in PEM Water Electrolyzers with a Deep-Learning-Based Approach. In Hydrogen (Vol. 4, Issue 3, pp. 556–572). MDPI AG. https://doi.org/10.3390/hydrogen4030036
- Lopez-Uroz L., Benoit A., Yan Y., Lin-Kwong-Chon C., Giffard-Roisin S., Rabatel A. (April 2023). Deep learning multimodal methods for geophysical inversion: application to glacier ice thickness estimation. CBMI2023. https://doi.org/10.1145/3617233.3617267
- Lin-Kwong-Chon, C., Todoroff, P., Le Mézo, L., Benne, M., Kadjo, J.-J. A. (February 2023). Multi-level deep-based classification of land use and land cover: A case study on Reunion Island. Proc. of ISSCT International Society of Sugar Cane Technologists XXXI Congress, volume 31. Hyderabad, India.
- 2022
- Lin-Kwong-Chon, C., Damour, C., Benne, M., Kadjo, J.-J. A., Grondin-Pérez, B. (2022). Adaptive neural control of PEMFC system based on data-driven and reinforcement learning approaches. Control Engineering Practice 120, 105022. https://doi.org/10.1016/j.conengprac.2021.105022
- 2019
- Lin-Kwong-Chon, C., Grondin-Pérez, B., Kadjo, J.-J. A., Damour, C., Benne, M. (2019). A review of adaptive neural control applied to proton exchange membrane fuel cell systems. Annual Reviews in Control 47, 133–154. https://doi.org/10.1016/j.arcontrol.2019.03.009
Encadrements
- Thèses
- Sabrine Bouaziz : IA explicable pour la prévision de chutes de blocs rocheux. 2024-
- Idriss Sinapan : Optimisation des interfaces fluidiques dans un système de production d’hydrogène par électrolyse à partir des outils de reconnaissance d’images Deep Learning. 2022-2024
- Stages
- Ishak Barkat : Analyse temporelle d’images optiques pour la détection fine des avalanches. 2024
- Raphaël Sermet : Localisation des fissures volcaniques dans les données de télédétection par apprentissage automatique. 2024
- Théo Darphin : Cartographie et surveillance de neige par apprentissage profond. 2023
Enseignements (IUT Annecy)
- Base de données
- Développement objet
- Programmation avancée IA