Please note that the Registration will open on Wednesday at 9:00.

How to get to the Location

The Address of the Location is: Am Sandtorkai 27 20457 Hamburg, 7th Floor

The conference location is located in the Speicherstadt. The closest subway stations are Baumwall (U3) and Meßberg (U1). There is also a bus line which passes the location (Line 2).

Evening Event on Wednesday!

Note: This is a seperate event, which will address topics of interest for the participants of ML4CPS. A seperate registration is necessary.

On Wednesday, March 29th at 6:00 PM, we will explore the latest advancements and real-life applications of autonomous technology in the homePORT Hamburg.

In collaboration with IKS Hamburg, ARIC, and homePORT, this meetup will provide a unique perspective on the challenges and opportunities in this field. 

This XR meetup is a side event of the ML4CPS conference.

Register now to secure your spot! https://www.eventbrite.de/e/semi-autonomous-systems-challenges-and-opportunities-tickets-539206951507

Join us and our domain experts as we explore possibilities, applications and challenges from semi- to autonomous systems. From inspections and material testing to personal transportation with drones and buses, we’ll discuss real-life applications and use cases of semi-autonomous and autonomous systems. How can telepresence support these autonomous systems?

Let’s dive into the future of autonomous systems together! 

This is a key event for anyone interested in the future of autonomous systems. 

Don’t miss out on the opportunity to network with industry experts, academics and innovators.

#AutonomousSystems #FutureOfTechnology #Telepresence

About the Conference

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?

Agenda

Conference Location

The conference will be held at Am Sandtorkai 27 20457 Hamburg

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.

Good news, ML4CPS will be free to attend!

Please Register here:

ML4CPS – Machine Learning For Cyber-Physical Systems Tickets, Wed, Mar 29, 2023 at 7:00 PM | Eventbrite

Important Dates

Submission Deadline: 20th of January 2023

Short-Paper Submission Deadline: 27th 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 should not be longer than 6-8 pages. Short papers should be 3-4 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).

Sponsor

NXP Semiconductors N.V. (NASDAQ: NXPI) bringt kluge Köpfe zusammen, um wegweisende Technologien zu entwickeln, die die vernetzte Welt besser, zuverlässiger und sicherer machen. Als ein weltweit marktführendes Unternehmen bei Lösungen für die sichere Kommunikation in Embedded-Applikationen treibt NXP Innovationen in den Anwendungsfeldern Automobiltechnik, Industrie & IoT, bei Mobilgeräten und Kommunikationsinfrastruktur voran und fördert mit seinen Lösungen eine nachhaltigere Zukunft. Das Unternehmen, das auf die Erfahrung und Expertise von mehr als 60 Jahren bauen kann, beschäftigt ca. 31.000 Mitarbeitende in mehr als 30 Ländern und erzielte 2022 einen Umsatz von 13,21 Milliarden US-Dollar. Weitere Details unter www.nxp.com.