Peter Tröger

Peter Tröger is a Professor for Distributed Systems at Beuth University since 2018, leading the Computer and Information Systems Lab (RIS Lab) and operating the Beuth Data Science Cluster. He holds a Doctorate in Computer Science from the University of Potsdam and a Habilitation from Technical University Chemnitz. His research focuses on dependable distributed systems, anomaly prediction, and uncertainty aspects, with collaborations at the Hasso Plattner Institute and industry partners like Audi, SAP, Daimler, and Oracle. He holds a patent in real-time scheduling for automotive systems.

Research projects include AI applications in healthcare (e.g., APPL-FM, AnorexiaVR), industry optimization (AI4SCM, More-With-Less), biodiversity (GCA, KInsekt), and human-computer interaction (Human.VR.Lab). He also explores data quality in machine learning systems through projects like SynthNet and Transparency in Machine Learning.

Peter’s work spans EU, DFG, and BMBF-funded initiatives, including Berlin Big Data Center and FashionBrain. His lab hosts infrastructure for data science and collaborates with tech startups like QualiFiction and Pyramics. No explicit awards are listed, though his patents and industry collaborations highlight his impact.