Antoine Vialle
PhD student
Geometric deep learning
Télécom Paris
Nov 2025–present
Team
Researchers and students supervised by Jhony H. Giraldo.
Our work spans geometric deep learning, graph signal processing, computer vision, graph generation, and scientific applications.
Current team
Sarra Khaïri
PhD student
Computer vision
Télécom Paris
Jun 2024–present
Vahan Martirosyan
PhD student
Graph neural networks
CentraleSupélec
Nov 2023–present
Sergei Gerasimov
Research intern
Graph summarization
Télécom Paris
Apr–Sep 2026
Matthieu Kaeppelin
Research intern
Knowledge graphs
Télécom Paris
Apr–Sep 2026
Former visiting researchers
Maria José Guerrero Muriel
Visiting PhD student
Learning graphs from data
Universidad de Antioquia
Nov–Dec 2024
Muhammad Rameez Ur Rahman
Visiting PhD student
Computer vision
Sapienza University of Rome
Jun 2023
Alumni
- Aref Einizade — Postdoctoral researcher, 2023–2026 — now Assistant Professor, Télécom SudParis
- Gabriele Spadaro — PhD student, 2023–2025 — now Postdoctoral researcher, University of Turin and Institut Polytechnique de Paris
- Hamza Rami — PhD student, 2022–2024 — now Associate consultant, Headmind Partners
- Julian Santamaria — Research intern, 2025
- Kian Bakhtari — Research intern, 2025
- Antoine Vialle — Research intern, 2025 — now PhD student, Télécom Paris
- Vahan Martirosyan — Research intern, 2023 — now PhD student, CentraleSupélec
- Nicolas Dunou — Research intern, 2023
- Nacereddine Laddaoui — Research intern, 2023 — now Research engineer, Télécom Paris
- Nada Hammad — Research intern, 2026
- Bochun Jia — Research intern, 2026
Master’s students
Nada Hammad (2026), Bérénice Nghiem (2025–2026), Carolina Brandao (2025–2026), Nader Sadek (2025), Lucas Li (2025), Shifeng Xie (2024–2026), Julian Santamaria (2024–2025), Mouhamadou Thiaw (2024–2025), Amadou Sangare (2023–2024), Ayoub Benabbou (2023–2024).
Join the group
Potential applicants should consult the current openings before writing. When contacting me, please include a short research statement, a CV, and a clear explanation of the connection between your background and the proposed topic.