About me

My name is Matthieu Verlynde, I am a PhD student at the Laboratory of Computer Science, Information Systems, Processing and Knowledge (LISTIC), a research unit of the Université Savoie Mont Blanc (USMB) in Annecy, France.
My research interests include the study of frugal AI and machine learning tools for remote sensing applications. Specifically, I am interested in developing low-energy algorithms for image time series classification and methods for information fusion and scoring machine learning models from a frugal computing perspective.

Publications

• Vallet, A., Dupuy, S., Verlynde, M. et al. Generating high-resolution land use and land cover maps for the greater Mariño watershed in 2019 with machine learning. Sci Data 11, 915 (2024). https://doi.org/10.1038/s41597-024-03750-x.

Education

• PhD in Computer Science - Université Savoie Mont Blanc, France (2024 - present)
  Thesis title: Weakly supervised and frugal classification for image time series in remote sensing
• Master's degree in Engineering - AgroParisTech, France (2020 - 2024)
  Specialization in Data Science for Life and Environmental Sciences
  Double degree in Computational Biology with the Université Paris Saclay, France
• Preparatory Class - Lycée Henri IV, Paris, France (2018 - 2020)
  Preparation for national competitive entrance exams to leading French "grandes écoles", specializing in biology, chemistry, physics, biology and geology.

Professional experience

• Research Intern - LISTIC, Université Savoie Mont Blanc, France (2024)
  Algorithm optimization for image processing in remote sensing
• Research Intern - ITC, University of Twente, The Netherlands (2023)
  Development of an online remote sensing-based approach to assist land managers in evaluating their ecological restoration activities
• Research Intern - CIRED, Nogent-sur-Marne, France (2022)
  Modeling and analysis of ecosystem services in the Peruvian Andes