The focus of our research group is on scalable techniques for data management and analytics. Our work targets at the synthesis of conceptual research results with prototypical deployments in different domains. In this seminar we focus on actual research topics including
representation of expert knowledge, applications for cloud monitoring and energy systems, machine learning (ML) techniques for scientific theory building and for solving differential equations, ML models and classification, feature extraction, sample-efficient reinforcement learning, and combining domain knowledge with ML.

Anmeldung per Campus Portal, Rückfragen oder Probleme Kontakt: Sekretariat Böhm 

Das Kickoff Meeting findet am 19.04.2024 um 13:00 in Raum 348 (Geb. 50.34) statt.