Jhony H. Giraldo

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 Research Internship with Possibility of a PhD (2025–2026): We are looking for motivated students to join our project on Compression and Efficient Processing of Graph Data at Télécom Paris, in collaboration with Télécom SudParis and the University of Southern California (Prof. Antonio Ortega). The internship starts in Spring 2026 and may lead to a PhD opportunity for outstanding candidates. More details here.

📢 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).