ML4CPS – Machine Learning for Cyber-Physical Systems

8th ML4CPS Conference, March 6-7, 2025, Berlin

The 8th ML4CPS offers a platform for exchange between researchers and users from various fields. The conference will be held in English on March 6 and 7, 2025 at the Fraunhofer Forum in Berlin. It will be hosted by the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB, the Helmut Schmidt University (HSU), the Technical University of Hamburg (TUHH) and the Chair of Production Engineering of E-Mobility Components (PEM) of the RWTH Aachen.

Submissions requested

The contributions may relate to the following topics, but are not limited to them:

  • Generative AI for CPS: Technologies like large language models facilitate human-like interactions with machines. This unlocks novel opportunities for intelligent automa­tion and the increase of the overall performance and func­tionality of cyber-physical systems.
  • Automated Modelling: Developing and using models to learn behaviors and structures of cyber-physical systems. This includes intelligent methods to integrate prior and domain-knowledge as well as engineering approaches.
  • Industrial AI: Integrating AI into manufacturing processes can help to optimize them and enhance operational efficiency. Integrating AI into legacy systems and existing infrastructure is still a major challenge.
  • Edge AI: This involves running AI algorithms directly on local devices, which enables real-time data processing. Main challenges are energy efficiency and limited computational resources.
  • Self-supervised learning: Minimizing the reliance on large, labeled datasets for machine learning is a key focus when examining production data. Techniques that allow models to learn from unlabeled data are essential.
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The publications of the ML4CPS Conference 2024

The publications of the 7th ML4CPS - Machine Learning for Cyber-Physical Systems Conference can be found online on the library page of Helmut Schmidt University.

Papers are chosen on a peer-review basis and accepted papers are published by the Helmut Schmidt University Press (openHSU) accom­panied by a unique DOI. Papers with commercial character will not be taken into consideration. The length of the papers should not exceed 10 pages.

Committee

 

General Chairs:

  • Jürgen Beyerer, Fraunhofer IOSB/Karlsruher Institut für Technologie (KIT)
  • Oliver Niggemann, Helmut-Schmidt-Universität Hamburg
  • Achim Kampker, RWTH Aachen
  • Görschwin Fey, Technische Universität Hamburg

Organising Committee:

  • Christian Kühnert, Fraunhofer IOSB
  • Alexander Diedrich, Helmut-Schmidt-Universität Hamburg
  • Rui Yan Li, RWTH Aachen
  • Phillip Johann Overlöper, Helmut-Schmidt-Universität Hamburg

Program Committee:

  • Volker Lohweg, HS-OWL
  • Alexander Fay, HSU
  • Alexander Windmann, HSU
  • Ingo Pill, Silicon Austria Labs, AT
  • Alexander Maier, HS Bielefeld
  • Kaja Balzereit, HS Bielefeld
  • Silke Merkelbach, Fraunhofer IEM
  • Marcel Drescher, RWTH Aachen
  • Idel Montalvo, IngeniousWare GmbH
  • Andreas Schwung, Fraunhofer IOSB

 

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© TUHH Hamburg University of Technology
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