About
Lars Nolle is a Professor at the German Research Center for Artificial Intelligence (DFKI) in Oldenburg, affiliated with the Marine Perception department. His work focuses on applying machine learning and artificial intelligence to environmental and marine science challenges.
Research Interests:
Dr. Nolle specializes in optimizing machine learning models for environmental data analysis, particularly in reconstructing photosynthetically active radiation in marine environments and developing remote sensing systems for plastic waste identification.
Recent Publications (Trends):
His recent work involves neural networks for radiation prediction and multispectral imaging systems for environmental monitoring, presented at conferences like ECMS 2025 and AI-2024.
Labs/Teams:
He contributes to the Marine Perception research unit at DFKI, focusing on interdisciplinary applications of AI in marine contexts.
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