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Head of the Research Department Embedded Intelligence

Prof. Dr. Paul Lukowicz

Publications

Daniel Geißler; Bo Zhou; Mengxi Liu; Sungho Suh; Paul Lukowicz

In: AAAI-24 Workshop Program. AAAI Conference on Artificial Intelligence (AAAI), Workshop Sustainable AI, AAAI Conference and Symposium Proceedings, 2024.

To the publication

Sungho Suh; Vitor Fortes Rey; Sizhen Bian; Yu-Chi Huang; Jo¸e M. Ro¸anec; Hooman Tavakoli Ghinani; Bo Zhou; Paul Lukowicz

In: IEEE Internet of Things Journal (IoT), Vol. 1, Page 1, IEEE, 11/2023.

To the publication

Profile

Biography

Prof. Dr. Paul Lukowicz (born in 1967) has been Scientific Director and Head of the Research Unit “Embedded Intelligence” at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern since 2011.

Paul Lukowicz studied computer science (Dipl. Inform.) and physics (Dipl. Phys.) at the University of Karlsruhe, where he received his PhD in 1999 on opto-electronic computer architectures. During his subsequent work at ETH Zurich, he established the Wearable Computer Group at the Institute of Electronics between 1999 and 2004. In October 2003 he was appointed Professor of Computer Science at the Private University for Health Sciences, Medical Informatics and Technology in Hall in Tyrol (UMIT). Three years later he accepted an appointment at the University of Passau, where he headed the Chair of Applied Computer Science with a focus on Embedded Systems and Pervasive Computing. In 2011 Paul Lukowicz accepted the call to the TU Kaiserslautern and since then he has been head of the newly founded research area “Embedded Intelligence” at DFKI. Since 2014 he also manages the DFKI SmartCity Living Lab.

His research focuses on cyber-physical systems, pervasive computing and social interactive systems.

  • VidGenSense

    Methods for Generating Synthetic Wearable And Ubiquitous Sensor Training Data

    As wearable sensors have become more and more ubiquitous one would expect human activity recognition (HAR) systems to increasingly move out of the lab into long term, real life scenarios. While the…

  • Eghi

    Advanced health intelligence for personal behaviour strategies in everyday life

    Although interest in and commitment to one's own health is increasing among the population as a whole, it is often difficult for individuals to implement appropriate measures in their everyday lives.…

  • ALMA

    Human Centric Algebraic Machine Learning

    Algebraisches maschinelles Lernen (AML) wurde kürzlich als neues Lernparadigma vorgeschlagen, das auf der Abstrakten Algebra, der Modelltheorie, aufbaut. Im Gegensatz zu anderen populären…

  • HumanE-AI-Net

    HumanE AI Network

    The HumanE AI Network brings together European centers of excellence, universities, and key industry champions in a network of centers of excellence that goes beyond a narrow definition of AI and…

    HumanE-AI-Net
  • SocialWear

    SocialWear - Socially Interactive Smart Fashion

    Im Bereich Wearable Computing liegt der Schwerpunkt traditionell auf der Verwendung Kleidungsstücke als Plattformen für das On-Body-Sensing. Die Funktionalität solcher Systeme wird durch Abtastung und…

    SocialWear
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Portrait photo