Stefan Oehmcke

Dr. Stefan Oehmcke is the Junior Professor for Visual and Analytic Computing in Ocean Technologies at the Institute of Visual and Analytical Computing (University of Rostock). His research focuses on deep learning applications for tempo-spatial data analysis, multi-modal representation learning, and resource-limited learning systems, with particular emphasis on environmental monitoring and ocean technologies.

• Deep learning on tempo-spatial data (e.g., remote sensing)
• Multi-modal representation learning
• Resource-limited learning (e.g., automated data selection)
• ML models for system modeling and simulation

Recent publications demonstrate expertise in geospatial analytics, LiDAR point cloud processing, and deep learning frameworks for ecological monitoring. His work spans climate modeling, biodiversity assessment, and UAV-based environmental data acquisition.