Former Staff Members

Office Hours: Mondays, 15:30-18:30

Adrian Šošić received his B.Sc. and M.Sc. degrees in Electrical Engineering and Information Technology from Technische Universität Darmstadt in October 2010 and May 2013, respectively. During his studies, he spent time at University College Cork (UCC), Ireland. In his master thesis “Markov Assumptions for Non-negative Matrix Factorization” he investigated how fundamental concepts of linear dynamical systems and non-negative representations can be combined in order to learn parts-based models for sequential data. The representations developed in his thesis can be applied, for instance, in sequence classification, e.g. human action recognition from video data.

In September 2013, Adrian joined the Signal Processing Group at TU Darmstadt and commenced working on his Ph.D.

Adrian's research interests center around topics from modern machine learning, statistical signal processing, image processing, decision-making, reinforcement learning, and game theory. He is especially interested in the methodology of Bayesian inference and his goal is to develop robust inference methods that allow to deal with uncertainty in a principled manner.

Currently he is working on inference methods in (large-scale) multi-agent settings as they appear in many biological systems, e.g. in animal swarms.

Adrian is collaborating with the Bioinspired Communication Systems Lab under the supervision of Prof. Dr. Heinz Koeppl and Prof. Gerhard Neumann from Lincoln Centre for Autonomous Systems Research.