Chair of Machine Learning and Data Engineering (Prof. Gieseke) (MLDE)
Status: Organisation is active
Phone number: +49 251 83-38150
Fax number: +49 251 83-38159
Email address: fabian.gieseke@uni-muenster.de
| Address: | Leonardo Campus 3 48149 Münster Germany |
Profile
The data volumes have increased dramatically in various domains over recent years. This is the case, for instance, in remote sensing, where satellites produce data volumes in the petabyte range per year. A similar "data flood" can be observed in many other disciplines as well including medicine, social media, finance, or in the context of modern energy systems. The research focus of the Machine Learning and Data Engineering group is on the development of efficient and scalable implementations for modern machine learning models. In particular, we make use of high-performance computing (e.g. GPGPU programming) and distributed computing to reduce the practical runtime needed for the overall data analysis. In many cases, the original algorithmic building blocks are not suited for modern hardware architectures. The adaptation of known and the development of new methods that can efficiently deal with huge amounts depicts one of the main activities of our group.
Publications
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, 86-91. doi:10.1038/s41558-024-02201-0 Research article (journal) | Peer reviewed | Published | |
Pauls, Jan; Zimmer, Max; Turan, Berkant; Saatchi, Sassan; Ciais, Philippe; Pokutta, Sebastian; Gieseke, Fabian (2025) In: (eds.), Proceedings of the 42nd International Conference on Machine Learining (ICML). (kein Verlag angegeben). Research article in edited proceedings (conference) | Peer reviewed | accepted / in press (not yet published) | |
Fayad, Ibrahim; Zimmer, Max; Schwartz, Martin; Ciais, Philippe; Gieseke, Fabian; de Truchis, Aurélien; Brood, Sarah; Belouze, Gabriel; d'Aspremont, Alexandre (2025) In: (eds.), Proceedings of the 42nd Conference on Machine Learning (ICML). (kein Verlag angegeben). Research article in edited proceedings (conference) | Peer reviewed | accepted / in press (not yet published) | |
Brandt, Martin; Chave, Jerome; Li, Sizhuo; Fensholt, Rasmus; Ciais, Philippe; Wigneron, Jean-Pierre; Gieseke, Fabian; Saatchi, Sassan; Tucker, C. J.; Igel, Christian (2025) In: Nature Reviews Electrical Engineering, 2, 13-26. doi:10.1038/s44287-024-00116-8 Research article (journal) | Peer reviewed | Published | |
Oehmcke, Stefan; Li, Lei; Trepekli, Katerina; Revenga, Jaime C.; Nord-Larsen, Thomas; Gieseke, Fabian; Igel, Christian (2024) In: Remote Sensing of Environment, 302. doi:10.1016/j.rse.2023.113968 Research article (journal) | Peer reviewed | Published |
Projects
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 | |
Duration: since 01/02/2024 Type of project: Own resources project | |
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 | |
Duration: since 01/10/2020 Type of project: Own resources project |
Preisverleihungen
| Best Evolutionary & Swarm Computation Paper Award Awarded by: IEEE Computational Intelligence Society Award given to: Martins, Denis; Lechtenbörger, Jens; Vossen, Gottfried Announced at: 15/11/2019 | Date of awarding: 15/11/2019 Type of distinction: Best publication award | |
| Fellowship für Innovationen in der digitalen Hochschullehre 2016 Awarded by: Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen und Stifterverband Award given to: Lechtenbörger, Jens Date of awarding: 01/01/2016 Type of distinction: Research award or other distinction | |
| Dissertation award of Fachbereich Datenbanken und Informationssysteme der Gesellschaft für Informatik e.V. Awarded by: Fachbereich Datenbanken und Informationssysteme der Gesellschaft für Informatik e.V. Award given to: Lechtenbörger, Jens Date of awarding: 01/01/2003 Type of distinction: Research award or other distinction |
Vorträge
| Infrastructure and lightweight markup language for OER: The case of emacs-reveal Lechtenbörger, Jens (21/04/2021) OERxDomains, Online Type of talk: scientific talk |