Mr. Amine Benchaabane | Remote Sensing | Best Researcher Award
Data Scientist Engineer | CLS Group | France
Mr. Amine Benchaabane is an accomplished MLOps Data Scientist and R&D Engineer with a strong interdisciplinary background in data science, geoscience, and applied mathematics, recognized for integrating artificial intelligence and machine learning into environmental and marine research. He pursued a Master’s in Geoscience Data Science at the European Institute for Marine Studies in partnership with IMT Atlantique, specializing in advanced machine learning and remote sensing for oceanography, and a Master’s in Hydrographic and Oceanographic Data Processing from ENSTA Bretagne, gaining deep expertise in marine data engineering and uncertainty propagation. His research and training at GEOAZUR, ONERA, and the French Naval Academy further enriched his skills in hydrographic modeling, SONAR inversion, and drone performance optimization. Professionally, he has advanced large-scale AI integration at CLS Group Brest, applied AI-based remote sensing at LOPS, developed hydrographic pipelines at GEOAZUR, and optimized drones for maritime surveillance at ONERA. His research interests lie at the intersection of AI, oceanography, and applied geosciences, focusing on satellite remote sensing, time-series analysis, semantic segmentation, and data assimilation for climate and environmental monitoring, alongside advanced MLOps-driven deployment of scalable AI models. He has worked extensively with SAR, LIDAR, and altimetry data to enhance retrieval of geophysical features such as wind, waves, and currents, ensuring operational efficiency through high-performance computing integration. Amine has earned recognition for his technical mastery, holding Google Cloud Advanced Machine Learning and Certified MLOps Data Scientist credentials, and his contributions have been acknowledged by leading institutes for their innovative impact in satellite remote sensing, oceanographic modeling, and AI deployment. With his adaptability, creativity, and leadership in bridging scientific challenges with real-world applications, he stands out as a strong candidate for prestigious awards in research and innovation.
Featured Publication
Benchaabane, A. (2023). AI-based oceanographic data assimilation for sea surface height prediction. Journal of Applied Remote Sensing.