Skip to main content Skip to main navigation

Head of the Research Department Cooperative and Autonomous Systems

Prof. Dr. Martin Atzmüller

Organizational unit Cooperative and Autonomous Systems
Contact +49 541 386050 2287 (Osnabrück)

Address (Osnabrück)
Prof. Dr. Martin Atzmüller

Publications

All publications

  3. A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives

    Arnab Ghosh Chowdhury; David Massanés; Steffen Meinert; Martin Atzmueller

    In: J.M. Ferrández Vicente; M. Val Calvo; H. Adeli (Hrsg.). Artificial Intelligence for Neuroscience and Emotional Systems. International Conference on the Interplay between Natural and Artificial Computation (IWINAC-2024), June 4-7, Olhâo, Portugal, Pages 496-506, Lecture Notes in Computer Science (LNCS), Vol. 14674, Springer, Cham, 5/2024.

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 - Cooperative and Autonomous Systems - 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.

  • ExPrIS

    Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data

    "What will I see when I turn this corner?"

    Depending on what is around that corner, this question is easy for us to answer. We are likely to see a refrigerator in a kitchen, ships at a port, and a…

    ExPrIS

  • AW4.0

    Autowerkstatt4.0

    In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy data exchange of industry-specific AI models and…

    AW4.0

  • AI-Test-Field

    Experimental environment for industrial-grade development of semantic environment perception.

    The fusion of data with high spatial and temporal resolution and their interpretation are essential innovation drivers for the realisation of more sustainable processes in plant cultivation. Here,…

    AI-Test-Field