Novel and non-mainstream advances in Data Science


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 Mail an
Das Kickoff Meeting findet voraussichtlich in der 1. Vorlesungswoche statt.