University of Münster
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Profile picture of Prof. Dr. Fabian Gieseke

Prof. Dr. Fabian Gieseke

Current affiliations

  • Chair of Machine Learning and Data Engineering (Prof. Gieseke) (MLDE)

Curriculum Vitae (CV)

  • Data Mining and Machine Learning
  • High-Performance Computing
  • Distributed Computing
  • Deep Learning
  • Applications (Geosciences, Smart Cities/Grids, Astrophysics, ...)

Academic Education

12/2006 - 02/2012PhD in Computer Science: "From Supervised to Unsupervised Support Vector Machines and Applications in Astronomy", Carl von Ossietzky University of Oldenburg, Germany
10/2001 - 12/2006University Studies (Diploma) in Mathematics, University of Münster, Germany
10/2001 - 12/2006University Studies (Diploma) in Computer Science, University of Münster, Germany

Publications

Trainable Bitwise Soft Quantization for Input Feature Compression
Schrödter, Karsten; Stenkamp, Jan; Herrmann, Nina; Gieseke, Fabian (2026)
In:  (eds.), Proceedings of the Third Conference on Parsimony and Learning (CPAL). (kein Verlag angegeben).
Research article in edited proceedings (conference)
Canopy Tree Height Estimation using Quantile Regression: Modeling and Evaluating Uncertainty in Remote Sensing
Schrödter, Karsten; Pauls, Jan; Gieseke, Fabian (2026)
In:  (eds.), Proceedings of the 29th Annual Conference on Artificial Intelligence and Statistics (AISTATS). (kein Verlag angegeben).
Research article in edited proceedings (conference)
Boosted Trees on a Diet: Compact Models for Resource-Constrained Devices
Herrmann, Nina; Stenkamp, Jan; Karic, Benjamin; Oehmke, Stefan; Gieseke, Fabian (2026)
In: ICLR (eds.), The Fourteenth International Conference on Learning Representations. OpenReview:12800.
Research article in digital collection (conference)
Counting Parked Bicycles on the Edge - A TinyML Smart City Application
Stenkamp, Jan; Hunke, Mathis; Karatas, Cem; Kirchhoff, Steffen; Knaden, Christoph; Naebers, Paul; Zhao, Lige; Karic, Benjamin; Gieseke, Fabian; Herrmann, Nina (2026)
In: IEEE/ACM (eds.), Proceedings of the 24rd Conference on Embedded Artificial Intelligence and Sensing Systems. ACM Digital Library.
Research article in digital collection (conference)
Predictability of abrupt shifts in dryland ecosystem functioning
Bernardino, Paulo Negri; Keersmaecker, Wanda De; Horion, Stéphanie; Kerchove, Ruben Van De; Lhermitte, Stef; Fensholt, Rasmus; Oehmcke, Stefan; Gieseke, Fabian; Meerbeek, Koenraad Van; Abel, Christin; Verbesselt, Jan; Somers, Ben (2025)
In: Nature Climate Change, 15.
Research article (journal)
Show all publications

Projects

Flow Factory
Duration: 01/01/2025 - 31/12/2029
Funded by: Sparkassenverband Westfalen-Lippe, Finanz Informatik GmbH & Co. KG, LBS Landesbausparkasse Nordwest, S Rating und Risikosysteme GmbH, Deutscher Sparkassen Verlag GmbH, Deutscher Sparkassen- und Giroverband e.V.
Type of project: Individual project
Detaillierte Waldüberwachung mittels skalierbarer KI-Methoden (Al4Forest)
Duration: 01/06/2023 - 31/05/2027
Funded by: Federal Ministry of Research, Technology and Space
Type of project: Participation in federally funded joint project
Verbund - KI: Energie- und ressourceneffiziente künstliche Intelligenz für moderne IoT-Anwendungen (TinyAIoT)
Duration: 01/01/2023 - 31/12/2025
Funded by: Federal Ministry for the Environment, Climate Action, Nature Conservation and Nuclear Safety
Type of project: Participation in other joint projects
Monitoring Changes in Big Satellite Data via Massively-Parallel Artificial Intelligence
Duration: since 01/10/2020
Type of project: Own resources project
DeepCrop: Quantification of Carbon Stocks via Deep Learning (DeepCrop)
Duration: since 01/04/2020
Type of project: Own resources project