CV

Work experience

• Assistant Professor, University of Montpellier (oct 2023 - aug 2024, on going)
  • Teaching : 192 H in the computer science department. details here
• PhD sutdent contract, CNRS (oct 2020 - sep-2023)
  • Studying poverty prediciton with deep learning methods and remote sensing data
  • Comparing spatial and spatio-temporal models for poverty evolution estimation
  • Assessing the comparison in Tanzania and Syria, then in the entire Africa and Middle-East
• Study Engineer, (Jul-Aug 2020)
  • Ameliorate the benchmark proposed during the internship
  • Summarize the results obtained in a scientific publication.
• Intern hosted in LIRMM for the Fondation pour la Recherche sur la Biodiversité (FRB) (Feb-Jun 2020)
  • Creating a benchmark for comparing poverty prediction methodologies
• Intern in French Federation of Backgammon (2019, 2 months)
  • Automatically transcribe the game, according to a video
  • The project was quite huge to realize alone, so I stopped it after my intership

Education

• Ph.D in Computer Science, University of Montpellier, 2020-2024 (on going)
• M.S. in Mathematics, La Rochelle University, 2018-2020
• B.S. in Mathematics, La Rochelle University, 2015-2018

Skills

• Python
  • Data: Numpy, Scipy, Pandas, Matplotlib
  • Image/Video: Opencv, Scikit-Image, Ffmpeg
  • Remote Sensing : Rasterio, Geemap, Folium, Ipyleaflet
  • AI/ML : Scikit-Learn
  • DL : Tensorflow, Pytorch
• Google Cloud Platform
  • Google Earth Engine (python) API
  • Cloud Storage
• HPC Jean-Zay
  • Multi-GPU Training of deep neural network
  • Slurm
• Latex
• Git (a little)
• Bash (a little)

Publications

Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images

Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol. Assessment of CNN-based methods for poverty estimation from satellite images. In Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10-15, 2021, Proceedings, Part VII (p. 550-565). Springer International Publishing.

Comparing Spatial and Spatio-Temporal Paradigms to Estimate the Evolution of Socio-Economical Indicators from Satellite Images

Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol. Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images. In IGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium (p. 5790-5793). IEEE.

Presentation

First steps with Geemap.

October 20, 2022

Tutorial at GdR PIC - STRONG, UMR Espace-dev, IRD, Virtual event.

Comparing Spatial and Spatio-temporal Paradigm to Estimate Evolution Patterns from Satellite Images

December 07, 2023

Presentation at Workshop: Remote Sensing and Climate, IGN, 8 Av. Pasteur, 94160 Saint-Mandé

Teaching

Teacher Apprentice

Teaching Associate

Assistant Professor