Antwan's crew

I am co-supervising PhD students and graduates at IPGP across a range of research themes, including seismic signal classification, SAR-based and LiDAR monitoring of geomorphic processes, landslides and avalanches, sediment transport dynamics, and the modeling of surface evolution on Earth and other planetary bodies. These projects combine remote sensing, numerical simulations, seismology, and machine learning techniques.

They contribute to tackling complex questions at the intersection of geomorphology, geophysics, remote sensing, and planetary science, with a strong emphasis on:

  • Earth surface dynamics (mass wasting, sediment transport, landslides, avalanches),
  • Planetary surfaces (Titan, Moon, Mars) and mission-driven science (e.g., Dragonfly, InSight, FSS, Cassini, Apollo),
  • Advanced methods such as InSAR, LiDAR, seismic scattering, and machine learning (PINNs, detection algorithms, clustering).

This is where applied field science meets computational geoscience and mission-oriented planetary studies. The research is both ambitious and strategic, especially as Earth and planetary processes become increasingly interlinked in modern geosciences.

Current PhD Students

Since 2024 — Lorraine Delaroque PhD student (30 % supervision, co-supervised with S. Rodriguez and T. Kawamura) Works on Titan seismology in preparation for NASA’s Dragonfly mission (launch planned for 2036).

Since 2022 — Yassine Boukhari PhD student (80 % supervision, co-supervised with S. Jacquemoud) Studies solid transport in small Alpine and tropical catchments using satellite imagery, LiDAR, long-term observatory records, and machine learning.

Current Interns

Milan Mauro 2nd year MSc in Computer Science, Université Savoie Mont Blanc
analyzes NASA’s InSight seismic data using scattering networks to classify seismic events recorded throughout the Martian mission.

Post-doctoral researchers

2020–2022 — Léa Bonnefoy Post-doctoral researcher (50 % supervision) CNES-funded post-doc from November 2020 to November 2021, followed by a second year in partnership with Cornell University (2022). Under my scientific supervision, Léa investigated the dielectric properties of the planned Dragonfly landing site, which will probe Titan’s critical zone in 2036. The project resulted in multiple international conference presentations and one peer-reviewed publication. Léa is now completing her post-doctoral research at LMD, Sorbonne Université.

2021 — Shen Liang Post-doctoral researcher (100 % supervision, DiiP–funded PARKKER project, PI) In 2021, Shen and I developed the FARMYARD framework, which led to two peer-reviewed conference papers and a manuscript currently under revision for IEEE Transactions on Knowledge and Data Engineering. Shen continues to work at DiiP on another project, and our collaboration remains active.

Research engineer

2021–2022 — Matthieu Gougeon Research engineer (100 % supervision) Developed image-analysis tools for airborne (IGN), drone, and satellite data (SPOT, Pléiades, Sentinel…). Automated existing routines and produced high-level outputs such as digital elevation models, 3-D point clouds, and quality-control software. Co-author of Michon et al. (2023, HAL) and three additional papers (one in review, two in preparation). Matthieu now holds a permanent position at GeoAzur, after a period working in the industry sector.

Past PhD Students

Defended 2025 — Coline Hopquin PhD student (30 % supervision, co-supervised with E. Gayer and L. Michon) Investigates slow hillslope processes in the Rivière des Pluies basin on Réunion Island.

Defended 2024 — Dung Nguyen Tri PhD student (50 % supervision, co-supervised with S. Jacquemoud) Focuses on bare-soil roughness retrieval through Bayesian inversion of BRDF data.

Defended 2022 — Alice Jacob PhD (25 % supervision, co-supervised with P. Lognonné and C. Perrin) Thesis on seismo-tectonics for NASA’s InSight mission; two main papers published. After a sabbatical, Alice is now employed outside academia.

Defended 2022 — Amande Roque-Bernard PhD (60 % supervision, co-supervised with E. Lajeunesse) Researched suspended-sediment transport in Guadeloupe; one paper published and code released on Zenodo. Amande now holds a permanent position in the finance sector.

Defended 2020 — Chloé Daudon PhD (30 % supervision, co-supervised with S. Rodriguez and S. Jacquemoud) Authored one published paper and a second currently under review. Currently post-doctoral researcher at Caltech.

Past Interns since 2017

Grégoire Vest Final-year engineering student, EPITA develops physics-informed neural networks to infer surface properties from SAR data and detect avalanches.

Marceau Cottrez Final-year engineering student, EPITA applies AI to 3D LiDAR point clouds for vegetation structure and biomass estimation.

Valentine Hoscoet 1st-year MSc student in Natural Hazards, IPGP uses scattering networks to classify seismic signals from debris, rock, and snow avalanches.

Thibault Chardon 1st-year MSc student in Natural Hazards, IPGP detects snow avalanches in medium-resolution SAR imagery using machine learning.

Lisa Corzani 1st-year MSc student in Planetary Sciences, PSL maps rockfalls near NASA’s FSS lunar landing site to assess surface mass wasting.

Marta Ducamp 2nd-year engineering student in Geomatics & Photogrammetry, ENSG-IGN quantifies lunar surface roughness at multiple scales from Apollo mission imagery.

Mathilde Ballot 3rd-year SciencePo-IPGP student in Geophysics models snow-avalanche backscattering using Sentinel-1 SAR data.

Matthieu Lecocq 1st-year MSc student in Geophysics, IPGP detects dust avalanches on Mars using orbital imagery.

Mathilde Griffaton 3rd-year BSc student, Université Paris-Saclay develops and tests prototype turbidity sensors for field applications.

Lounis Ait Oufella 1st-year MSc student, Sorbonne Université studies landslide energy dissipation processes across the Solar System.

Yassine Boukhari 2nd-year MSc student, Sorbonne Université models snow-avalanche backscattering using Sentinel-1 SAR data.

Manon Le Teuff 1st-year BSc student, PSL analyzes the post-seismic decay of dust-avalanche activity on Mars.

Justine Vilette 2nd-year MSc student, Sorbonne Université develops physics-based machine-learning methods to extract topography from radar backscattering.

Adama Bah 1st-year MSc student, IPGP detects dust avalanches on Mars using convolutional neural networks.

Alexandra Le Contellec Undergraduate intern (4 months), institution not specified performs photogrammetric analysis of Jovian satellite imagery.

Lucas Bourdon 1st-year MSc student, Université de Paris & IPGP evaluates the detectability of slope-instability seismic signals in NASA’s InSight data.

Julie Losen 2nd-year MSc student, Université de Paris & IPGP compares Earth and Mars landslides to study molard formation under permafrost degradation.

Ayah Taihi 1st-year MSc student in Physics, institution not specified studies light scattering in water–mineral particulate mixtures.

Sahand Sharifi 2nd-year MSc student, Université de Paris & IPGP investigates microwave backscattering properties of avalanches and surface roughness estimation.

Tuyen Nguyen 2nd-year MSc student, Université de Paris & IPGP studies fluvial sediment transport evolution using radar interferometry.

Thomas Frasson 1st-year MSc student, ENS Lyon parameterizes friction laws through numerical modeling of gravitational processes.

Bastien Gonzalez 1st-year MSc student, Sorbonne Université reconstructs the 20th-century evolution of the Bossons Glacier using aerial photogrammetry.

Valérie Genoud-Prachet 2nd-year MSc student, Université Paris-Diderot monitors surface-state evolution in high-erosion tropical regions using satellite data from Réunion Island.

Alice Jacob 2nd-year MSc student, Université Paris-Diderot combines seismo-tectonics and planetary photogrammetry in preparation for NASA’s InSight mission.

Ivan Osorio 1st-year MSc student, Sorbonne Université models Titan’s landscape dynamics using numerical simulations.

Amande Roque-Bernard 2nd-year MSc student, Université Paris-Diderot analyzes Cassini RADAR data using microwave-domain photogrammetry.