Since April 1, Prof. Michael Färber has held the new Chair for Scalable Software Architectures for Data Analytics at the Institute of Computer Engineering, which is also a strategic professorship for the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden/Leipzig) and supports the interdisciplinary research of the Competence Center and TU Dresden.

The Chair is intended to contribute to expanding methods for efficient and scalable software architectures in the field of data analytics, in particular machine learning, in order to solve the challenges resulting from the processing of very large and heterogeneous data. The focus here is on aspects such as scalability and increasing efficiency.

Prof. Michael Färber completed his degree in computer science with distinction at the University of Ulm in 2011 and a bachelor's degree in philosophy at the University of Ulm in 2012. He completed his doctorate in 2017 at the Karlsruhe Institute of Technology on the topic of "Semantic Search for Novel Information". Färber then spent a year teaching and researching at Kyoto University in Japan as one of only 15 scholarship holders worldwide from the Japan Society for the Promotion of Science (JSPS). He continued his scientific career as a postdoc at the University of Freiburg and later at the Karlsruhe Institute of Technology, where he has been a substitute professor at the Institute of Applied Computer Science and Formal Description Methods (AIFB) since 2020. His research interests focus in particular on natural language processing, machine learning and knowledge representation.

Michael Färber can look back on more than 75 publications at high-ranking conferences and in specialist journals with international researchers as co-authors and was Principal Investigator (PI) in several projects (e.g. KD4RE, IIDI, ChemKB, KIGLIS, digilog@bw) He was awarded the Faculty Prize for his teaching activities.