معرفی
Lucas DRUMETZ is an Associate Professor at the Signal & Communications Department of IMT Atlantique, affiliated with the TOMS team at UMR CNRS 6285 Lab-STICC since 2017. His research focuses on satellite/airborne imagery, inverse problems in remote sensing, signal processing, optimization, and machine learning/AI. He holds a PhD in image/signal processing from Université Grenoble Alpes (2016), awarded the university's PhD honor in 2017. He also held visiting roles at UCLA (2017) and the University of Tokyo (2017).
Education:
- PhD in Image and Signal Processing, Université Grenoble Alpes (2016)
Research interests span environmental monitoring through satellite data analysis, geospatial modeling, and machine learning applications in ecological systems. He develops methods for biodiversity tracking, climate-related variables estimation, and spatio-temporal data interpolation.
His recent work emphasizes frameworks for coral reef/seagrass ecosystems, super-resolution techniques for land surface temperature, and neural approaches to long-term time series forecasting. He contributes to projects like SCO-BioEOS for coastal biodiversity mapping.
Awards:
- 2017 PhD Award, Université Grenoble Alpes
Teaching involves courses on signal processing, machine learning, and mathematics at IMT Atlantique. Collaborates on interdisciplinary projects with marine science and climate research teams.
Labs/Teams: Member of TOMS team (Lab-STICC) focusing on signal processing and statistical methods.
