Jhony H. Giraldo

Assistant Professor at Télécom Paris, Institut Polytechnique de Paris

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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.

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 Postdoc: I am looking for postdoc interested in geometric deep learning starting in spring/summer 2026. More information: Full postdoc call

🎓 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

Jun 04, 2026 Our paper “CALICE: Continuous bitrate control with Adapted LIC modEl” was accepted at the ACM Transactions on Multimedia Computing Communications and Applications!
May 15, 2026 I’ve been selected among the Gold Reviewers (top 25%) for ICML 2026.
Apr 30, 2026 We have two papers accepted at ICML 2026: “Feature-aware (Hyper)graph Generation via Next-Scale Prediction”, and “Spatiotemporal Imputation with Graph-Informed Flow Matching”.
Apr 14, 2026 I’ve been selected among the Top 200 Reviewers for ICLR 2026.
Mar 20, 2026 Our paper “Consistent Soundscape Connectomes via Stability-Refined Graph Learning” was accepted at IJCNN 2026!