Cyber-physical systems can adapt to changing requirements. In combination with machine learning, application fields such as predictive maintenance, self-optimization or fault diagnosis come into mind. One of the main prerequisites is that machine learning methods can be used by engineers. Therefore, the 6^th Machine Learning 4 Cyber Physical Systems – ML4CPS – conference offers researchers and users from various fields an exchange platform.

Papers may cover, but are not limited to the following topics:

Integrating domain knowledge into neural networks: Using domain knowledge is a key factor for robust and performant neural networks in cyber-physical systems. Examples how prior knowledge can be integrated into the neural network are the network architecture, additional data from simulations or by adding constraints to the loss function.

Certification of ML models: Performance, robustness and sensitivity of a model must be evaluated according to certain generally defined criteria. How can such criteria look like and how can ML models be certified by adopting them?

Automatic protection of ML models: For cyber-physical systems it is important that ML models do not deliver unexpected results. Nevertheless, how do solutions look like that put ML models into a fall-back mode? How can it be proven that the ML model is safe to use?

Automated Machine Learning: For the use of ML models in practice, it is essential that they can be trained, validated, and put into operation quickly to fulfill some performance criteria. AutoML is an efficient tool for that.  How can AutoML be used to fulfill multicriterial objects, like interpretability or model size in combination with performance?

Conference Location

The conference will take place in Hamburg in Northern Germany. Hamburg is Germany’s second biggest city and is located between the Baltic and the North Sea. It is well connected through an international airport and several railway stations, which connect to all larger German cities as well as cities in the Netherlands, Denmark and Czech Republic. Hamburg is also home to Germany’s busiest harbor and lies beautifully on the river Elbe.

The conference venue is in the Speicherstadt, Hamburg’s historic warehouse district, where warehouses were built on timber-pile foundations in the water of the river Elbe, to enable loading and unloading of ships and boats. Today, this area has been revitalized and is used for restaurants, offices and company headquarters, while in the sorrounding area new hotels and housing areas are built. In 2016 the Elbphilharmonie was inaugurated.

Important Dates

Submission Deadline: 6th of January 2023

Reviewer Feedback: 6th of February 2023

Camara-Ready Submission: 6th of March 2023

Conference: 29th to 31st of March 2023

Paper Submission

Papers are chosen on a peer-review basis and accepted papers are published by Springer with a DOI number. Papers with commercial character won’t be considered. Papers must not be longer than 6-8 pages.

Please find the formatting guidelines here:

Conference Proceedings guidelines | Springer | Springer — International Publisher

Paper Submission will be handled via easychair:

Submission Page

All questions related to paper submissions should be emailed to:

[email protected]

Committee

General Chairs:

Oliver Niggemann, Helmut-Schmidt-University Hamburg

Jürgen Beyerer, Fraunhofer IOSB/Karlsruher Institut für Technologie (KIT)

Program Chairs:

Maria Krantz, Helmut-Schmidt-University Hamburg

Christian Kühnert, Fraunhofer IOSB

Local Organization Committee:

Alexander Windmann, Helmut-Schmidt-University Hamburg

Jonas Ehrhardt, Helmut-Schmidt-University Hamburg

International Program Committee:

Ingo Pill, Silicon Austria Labs, Austria

Alexander Diedrich, Fraunhofer IOSB-INA, Germany

Kaja Balzereit, Fraunhofer IOSB-INA, Germany

Meir Kalech, Ben-Gurion University of the Negev, Israel

Volker Lohweg, Technische Hochschule Ostwestfalen-Lippe, Germany

Alexander Maier, FH Bielefeld, Germany

Marco Hubert, Universität Stuttgart, Germany

Anna Sztyber-Betley, Warsaw University of Technology, Poland

Roni Stern, Ben-Gurion University of the Negev, Israel

Alexander Fay, Helmut-Schmidt-University, Hamburg

Görschwin Fey, Hamburg University of Technology, Germany

Idel Montalvo, Ingeniousware GmbH

Elodie Chanthery,  LAAS-CNRS, INSA de Toulouse, Toulouse, France

Hosts

The conference will be hosted by the Helmut-Schmidt-University/University of the Armed Forces Hamburg jointly with the Artificial Intelligence Center Hamburg (ARIC) and the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Fraunhofer IOSB).