Jhony H. Giraldo
Assistant Professor at Télécom Paris, Institut Polytechnique de Paris
Office 5D24
19 place Marguerite Perey
91120 Palaiseau, France
I am an Assistant Professor at Télécom Paris, Institut Polytechnique de Paris, working in the Information Processing and Communications Laboratory (LTCI) in the Multimedia team. I’m a member of the ELLIS Society and the IEEE Signal Processing Society.
My research focuses on the theory and applications of Geometric Deep Learning (graph and higher-order networks), Computer Vision, Machine Learning, and Graph Signal Processing.
I received my Ph.D. in Applied Mathematics from La Rochelle Université (Laboratoire MIA – Mathématiques, Image et Applications) in 2022. During my Ph.D., I was a visiting researcher at the Centre de Vision Numérique (CVN) and Inria OPIS, CentraleSupélec, Université Paris-Saclay (2022), and at the CVPR Lab, Università degli Studi di Napoli Parthenope, Italy (2021).
Before my doctoral studies, I worked as a Research Assistant at the University of Delaware, USA (2018–2019), focusing on Graph Signal Processing. I hold both a Master’s degree (with honors, 2018) and a Bachelor’s degree in Electronics Engineering (2016) from Universidad de Antioquia, Colombia.
📢 Call for Internships 2025-2026: I am looking for motivated students interested in geometric deep learning for internships starting in spring 2026.
🎓 For M1 and M2 students at IP Paris: I am happy to supervise a limited number of master’s projects. Please note that I expect you to be enrolled in my course Machine Learning with Graphs (APM_5DS30_TP).
News
| Jan 03, 2026 | Our paper “WildIng: A Wildlife Image Invariant Representation Model for Geographical Domain Shift” was accepted at the International Journal of Computer Vision! |
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| Nov 26, 2025 | Our paper “TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones” was accepted at Neurocomputing! |
| Nov 16, 2025 | We have four papers accepted at NeurIPS 2025 (one in the main track and three workshops)! The papers cover: simplicial neural networks, tensorial PDEs on graphs, material science with geometric graph neural networks, and graphs for environmental applications. |
| Sep 19, 2025 | I’ve become ELLIS (European Laboratory for Learning and Intelligent Systems) member! |
| Sep 18, 2025 | Our paper “Continuous Simplicial Neural Networks” has been accepted at the Advances in Neural Information Processing Systems (NeurIPS) 2025 conference! |