معرفی
Jan Pauls is a Researcher at the Institute of Business Information Systems within the School of Business and Economics at the University of Münster, affiliated with the Chair of Machine Learning and Data Engineering under Prof. Gieseke. Based at Leonardo Campus 3, Room 222, he conducts research at the intersection of satellite remote sensing and deep learning for environmental applications.
His research portfolio emphasizes:
- Tree canopy height estimation using satellite data
- Deep learning architectures for transparent object segmentation
- Super-resolution techniques for satellite imagery
- Forest monitoring systems development
- Temporal dynamics modeling in geospatial analysis
- Environmental informatics applications
Recent publications reveal a concentrated focus on scaling deep learning models for tree height prediction using multi-source satellite data, with growing emphasis on temporal dynamics and high-resolution mapping. This work directly supports sustainable forest management through advanced remote sensing analytics.
Academic contributions include:
- Thesis Supervision: Guided 5 theses (2023-2025) on satellite-based forest monitoring, including master's research on PlanetScope/GEDI integration and bachelor's projects on Sentinel-2 analysis
- Teaching: Instructs graduate courses including "Advanced Topics in Machine Learning" seminars (2023-2025), "Mining Massive Datasets" lectures, and digital ecosystem project seminars
As core personnel in Prof. Gieseke's research group, he bridges machine learning innovation with practical environmental monitoring solutions through active collaboration on satellite data processing pipelines and forest inventory systems.
