Martin Atzmueller

Professor at Osnabrück University
ROSEN-Group-Endowed Chair of
Semantic Information Systems

German Research Center for
Artificial Intelligence (DFKI)

- Scientific Director -
Research Department
Plan-Based Robot Control

Contact

Univ.-Prof. Dr. rer. nat. habil. Martin Atzmüller
Institute of Computer Science
Wachsbleiche 27
49090 Osnabrück

martin.atzmueller@uni-osnabrueck.de

Google Scholar Profile
DBLP Profile

Martin Atzmueller is Full Professor (W3, tenured) at the Institute of Computer Science at Osnabrück University (Germany), where he holds the ROSEN-Group-Endowed Chair of Semantic Information Systems and heads the Semantic Information Systems research group.
Professor Atzmueller is founding spokesperson of the Joint Lab on Artificial Intelligence and Data Science and founding member of the Research Unit Data Science at Osnabrück University, as well as Scientific Director - Research Department Plan-Based Robot Control - at the German Research Center for Artificial Intelligence (DFKI). Previously, he also held appointments at Tilburg University (The Netherlands) as an Associate Professor, and at the Université Sorbonne Paris Nord (France) as a Visiting Professor.
He earned his habilitation (Dr. habil.) in 2013 at the University of Kassel, where he also was appointed as adjunct professor (Privatdozent). Further, he received his Ph.D. (Dr. rer. nat.) in Computer Science from the University of Würzburg in 2006. He studied Computer Science at the University of Texas at Austin (USA) and at the University of Würzburg where he completed his MSc (Diplom-Informatiker Univ.) in Computer Science.

Research

Martin Atzmueller's research interests include Artificial Intelligence (AI), Data Science and Integrative AI Systems, where his research covers, in particular, modeling complex data, explainable AI, interpretable learning, machine perception as well as semantic interpretation. A major focus lies on machine learning and analysis on complex (sensor) data such as images, graphs, networks, and temporal data, often encountered in complex systems, as well as the respective system view and design. This also relates to applications in complex integrative AI system domains, for example, to robot control and integrative sensor-based AI systems.

Selected Publications

Slides of Recent Tutorials

Recent Projects/Activities

Frameworks and Tools

(c) Martin Atzmueller