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Prof. Dr. Sebastian Stober

The Artificial Intelligence Lab is dedicated to improving the cognitive abilities of machines and reducing the friction in human-computer interaction. We develop novel signal processing and deep learning algorithms for the analysis of sensory data and investigate new approaches for interacting with machines such as through EEG or eye tracking.

Prof. Dr. Benjamin Noack

Our main area of research lies in distributed estimation approaches to multisensor data fusion, navigation, and tracking. We address these topics through rigorous mathematical theory and analysis, and we strive to make modern estimation and learning methods ready for broader application in autonomous driving, intelligent transportation, and industrial process automation.

Prof. Dr. Mesut Güneş

The Chair Communication and Networked Systems
covers in research and teaching the fields of wired and wireless networks, communications systems, Future Internet, and the Internet of Things (IoT).
The design, prototype development, and performance evaluation of
communication systems are the focus of research.

Prof. Dr.-Ing. habil. Sanaz Mostaghim

The major focus in research and teaching at the Chair of Computational Intelligence  is on Computational Intelligence, multi-objective optimization and decision making, Swarm Intelligence and Swarm Robotics.

Prof. Dr. Till Mossakowski

Our research and teaching focuses on the development and application of formal and semantic (i.e. mathematically grounded) methods to the study, modeling and verification of complex systems in various fields of computer science, varying from constraint reasoning about space and time to software specification, ontologies and conceptual blending.

Prof. Dr. David Hausheer

The Chair Networks and Distributed Systems  is active in several networked and distributed systems research areas, including software-defined networking, network functions virtualization, overlay networks, as well as related security and economic aspects.

Prof. Dr. Frank Ortmeier

Our research is interdisciplinary. Today, software is the key innovation driver for many technical systems. However, while software engineering methods made huge steps forward in pure IT domains, software development tools, methods and processes for software in technical applications did not change a lot in the last two decades. Closing this gap in software engineering efficiency is the goal of our research.

Prof. Dr. Michael Kuhn

The group Parallel Computing and I/O conducts research and development on parallel systems. We develop concepts for high-performance computing, storage and file systems, as well as for parallel programming. As part of our teaching activities, we cover these topics and more regarding the efficient use of modern computer systems.