{"id":2725,"date":"2025-07-14T13:41:40","date_gmt":"2025-07-14T11:41:40","guid":{"rendered":"https:\/\/www.hsu-hh.de\/imb\/?page_id=2725"},"modified":"2026-02-24T15:01:35","modified_gmt":"2026-02-24T14:01:35","slug":"ml4cps_2025","status":"publish","type":"page","link":"https:\/\/www.hsu-hh.de\/imb\/en\/organized-events\/ml4cps_2025","title":{"rendered":"ML4CPS \u2013 Machine Learning for Cyber-Physical Systems"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Conference in Berlin, March 6-7, 2025<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Registration<\/h2>\n\n\n\n<p>Registration is now open for the conference. We invite all attendees to secure their participation by registering through the following link: <a href=\"https:\/\/www.iosb.fraunhofer.de\/de\/veranstaltungen\/ml4cps-machine-learning-for-cyber-physical-systems\/anmeldung.html\" rel='nofollow'>Register Here<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">About the Conference<\/h2>\n\n\n\n<p>Cyber-physical systems possess the capability to adjust to evolving demands. When coupled with machine learning, for advanced automation and autonomy in various domains like predictive maintenance, self-optimization, and fault diagnosis spring to mind. An essential condition for exploiting this efficiency potential is the accessibility of machine learning techniques to engineers.<\/p>\n\n\n\n<p>Therefore, <strong>the 8th Machine Learning 4 Cyber Physical Systems &#8211; ML4CPS &#8211; conference <\/strong>offers researchers and users from various fields an exchange platform. The conference will take place March 2025, 6<sup>th<\/sup> till 7<sup>th<\/sup> at the Fraunhofer Forum in Berlin. Hosts are Fraunhofer IOSB, Helmut Schmidt University, Hamburg University of Technology and the Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen.<\/p>\n\n\n\n<p>Papers may cover, but are not limited to the following topics:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Generative AI for CPS:<\/strong> Technologies like large language models facilitate human-like interactions with machines. This unlocks novel opportunities for intelligent automa\u00adtion and the increase of the overall performance and func\u00adtionality of cyber-physical systems.<\/li>\n\n\n\n<li><strong>Automated Modelling:<\/strong> 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.<\/li>\n\n\n\n<li><strong>Industrial AI:<\/strong> 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.<\/li>\n\n\n\n<li><strong>Edge AI:<\/strong> This involves running AI algorithms directly on local devices, which enables real-time data processing. Main challenges are energy efficiency and limited computational resources.<\/li>\n\n\n\n<li><strong>Self-supervised learning:<\/strong> 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.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Agenda<\/h2>\n\n\n\n<p><strong>Day 1: March 6, 2025<\/strong><\/p>\n\n\n\n<p><strong>09:00 &#8211; 09:30:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Registration and Welcome Coffee<\/li>\n<\/ul>\n\n\n\n<p><strong>09:30 &#8211; 10:15:<\/strong> <strong>Keynote:<\/strong> \u201eML in Production: Challenges and Solutions\u201c (Merantix Momentum)<\/p>\n\n\n\n<p><strong>10:15 &#8211; 10:45:<\/strong> Break<\/p>\n\n\n\n<p><strong>10:45 &#8211; 12:15<\/strong>: <strong>Session 1<\/strong> <strong>(Alexander Diedrich)<\/strong> <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>10:45 &#8211; 11:15:<\/strong> Rui Yan Li &#8211; Deep learning-assisted real-time defect detection and process control for electrode manufacturing of lithium-ion battery cells (RWTH Aachen)<\/li>\n\n\n\n<li><strong>11:15 &#8211; 11:45<\/strong>: Christian Wittke &#8211; Challenges and Opportunities in Developing INN-Based Control Systems for Modular Drones (Helmut Schmidt University)<\/li>\n\n\n\n<li><strong>11:45 &#8211; 12:15:<\/strong> Magnus Redeker &#8211; Towards Adaptive Traffic Signal Control through Foundation Models and Reinforcement Learning (Fraunhofer IOSB-INA)<\/li>\n<\/ul>\n\n\n\n<p><strong>12:15 &#8211; 13:30:<\/strong> Lunch Break<\/p>\n\n\n\n<p><strong>13:30 &#8211; 15:00<\/strong>: <strong>Session 2 (Christian K\u00fchnert)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>13:30 &#8211; 14:00<\/strong>: Maximilian Schmidt &#8211; Assessing Robustness in Data-Driven Modeling of Cyber-Physical Systems (Hamburg University of Technology)<\/li>\n\n\n\n<li><strong>14:00 &#8211; 14:30:<\/strong> Nemanja Hranisavljevic &#8211; A Model Learning Perspective on the Complexity of Cyber-Physical Systems (Fraunhofer IOSB-INA)<\/li>\n\n\n\n<li><strong>14:30 &#8211; 15:00<\/strong>: Silke Merkelbach &#8211; Challenges and Opportunities in Model Creation with LLMs (Fraunhofer IEM)<\/li>\n<\/ul>\n\n\n\n<p><strong>15:00 &#8211; 15:30:<\/strong> Break<\/p>\n\n\n\n<p><strong>15:30 &#8211; 17:00: Session 3 (Swantje Plambeck)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>15:30 &#8211; 16:00:<\/strong> Negar Arabizadeh &#8211; How to quantify the maturity of production processes (Karlsruhe Institute of Technology)<\/li>\n\n\n\n<li><strong>16:00 &#8211; 16:30:<\/strong> Wenjie Huo &#8211; An Illumination Based Backdoor Attack Against Crack Detection Systems in Laser Beam Welding (Free University Berlin)<\/li>\n\n\n\n<li><strong>16:30 &#8211; 17:00:<\/strong> Jan Lukas Augustin &#8211; Division of Labor in CPS Anomaly Detection: Balancing Models, LLMs, Data Scientists, and Users (Helmut Schmidt University)<\/li>\n\n\n\n<li><strong>17:00 &#8211; 17:30:<\/strong> Vivek Ramji &#8211; Efficient Sparse Reconstruction-Based Hashing for Large-Scale Approximate Nearest Neighbor Search (Stony Book University)<\/li>\n<\/ul>\n\n\n\n<p><strong>19:00: Restaurant Aposto<\/strong>, Monbijouplatz 12 (self-payment)<\/p>\n\n\n\n<p><strong>Day 2: March 7, 2025<\/strong><\/p>\n\n\n\n<p><strong>09:00 &#8211; 09:15:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Welcome and Start of the Day<\/li>\n<\/ul>\n\n\n\n<p><strong>09:15 &#8211; 10:00<\/strong>: <strong>Keynote:<\/strong> &#8222;Data Toxicality: A Techno-Philosophical Inquiry into Digital Harm&#8220; (Gerhard Schreiber, Helmut Schmidt University)<\/p>\n\n\n\n<p><strong>10:00 &#8211; 10:30:<\/strong> Break<\/p>\n\n\n\n<p><strong>10:30 \u2013 12:00: Session 4<\/strong> <strong>(Rui Yan Li)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>10:30 &#8211; 11:00<\/strong>: Magnus Redeker &#8211; Towards AI-Powered Creation, Enrichment, and Integration of Digital Twins for Innovative Smart Factories Across Their Entire Lifecycle (Fraunhofer IOSB-INA)<\/li>\n\n\n\n<li><strong>11:00 &#8211; 11:30<\/strong>: (Jonas Ehrhardt) &#8211; Using Gradient-based Optimization over Neural Networks for Finding Optimal Parameters for Ultrasonic Welding (Helmut Schmidt University)<\/li>\n\n\n\n<li><strong>11:30 &#8211; 12:00<\/strong>: Christian Frey &#8211; A Hybrid Unsupervised Learning Strategy for Monitoring Soft-Kinematic Manipulators in Advanced Manufacturing (Fraunhofer IOSB)<\/li>\n<\/ul>\n\n\n\n<p><strong>12:00 &#8211; 13:00:<\/strong> Lunch Break<\/p>\n\n\n\n<p><strong>13:00 &#8211; 14:30:<\/strong> <strong>Workshop on Hybrid System Learning<\/strong> <strong>(Open for Everyone)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The workshop aims at strengthening the collaboration and exchange between different institutions working on topics related to model learning methods for hybrid systems. Individual research groups approach this topic from diverse perspectives, e.g., from an application perspective, from a tool perspective, or from a fundamental or formal perspective. The goal of this workshop is to exchange on the problem of Hybrid System Learning from all these perspectives, potentially solving existing open problems in the individual approaches and empowering joint research and collaboration.<\/li>\n\n\n\n<li>Workshop Organizers: Swantje Plambeck (Hamburg University of Technology), Nemanja Hranisavljevic (Helmut Schmidt University)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Conference Location<\/h2>\n\n\n\n<p>Fraunhofer Forum Berlin<\/p>\n\n\n\n<p>Anna-Louisa-Karsch-Stra\u00dfe 2<\/p>\n\n\n\n<p>10178 Berlin<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"318\" src=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/Spreepalais-1024x318.jpg\" data-credit=\"Fraunhofer IOSB\" alt=\"\" class=\"wp-image-1895\" srcset=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/Spreepalais-1024x318.jpg 1024w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/Spreepalais-300x93.jpg 300w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/Spreepalais-768x238.jpg 768w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/Spreepalais-1536x477.jpg 1536w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/Spreepalais-1100x341.jpg 1100w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/Spreepalais.jpg 1788w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Spreepalais<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/florian-wehde-uFGi0_YciE0-unsplash-1024x683.jpg\" data-credit=\"Florian Wehde on unsplash\" alt=\"\" class=\"wp-image-1894\" srcset=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/florian-wehde-uFGi0_YciE0-unsplash-1024x683.jpg 1024w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/florian-wehde-uFGi0_YciE0-unsplash-300x200.jpg 300w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/florian-wehde-uFGi0_YciE0-unsplash-768x512.jpg 768w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/florian-wehde-uFGi0_YciE0-unsplash-1536x1024.jpg 1536w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/florian-wehde-uFGi0_YciE0-unsplash-2048x1365.jpg 2048w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2023\/07\/florian-wehde-uFGi0_YciE0-unsplash-1100x733.jpg 1100w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Brandenburger Tor<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<h2 class=\"wp-block-heading\">Hosts<\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"283\" src=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2022\/09\/Logo_IOSB-1024x283.jpg\" data-credit=\"Fraunhofer IOSB\" alt=\"Fraunhofer IOSB\" class=\"wp-image-1579\" style=\"width:250px;height:auto\" srcset=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2022\/09\/Logo_IOSB-1024x283.jpg 1024w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2022\/09\/Logo_IOSB-300x83.jpg 300w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2022\/09\/Logo_IOSB-768x213.jpg 768w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2022\/09\/Logo_IOSB-1536x425.jpg 1536w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2022\/09\/Logo_IOSB-1100x304.jpg 1100w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2022\/09\/Logo_IOSB.jpg 1767w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full is-resized\"><a href=\"https:\/\/www.hsu-hh.de\/\"><img decoding=\"async\" src=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2022\/09\/Logo_Helmut-Schmidt-Universitaet_Hamburg.svg\" alt=\"\" class=\"wp-image-1574\" style=\"aspect-ratio:1.3841059602649006;width:197px;height:auto\" \/><\/a><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1134\" height=\"378\" src=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/rwth_pem_bild_weisser-Hintergrund_rgb.png\" data-credit=\"PEM RWTH Aachen\" alt=\"\" class=\"wp-image-2431\" style=\"width:246px;height:auto\" srcset=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/rwth_pem_bild_weisser-Hintergrund_rgb.png 1134w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/rwth_pem_bild_weisser-Hintergrund_rgb-300x100.png 300w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/rwth_pem_bild_weisser-Hintergrund_rgb-1024x341.png 1024w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/rwth_pem_bild_weisser-Hintergrund_rgb-768x256.png 768w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/rwth_pem_bild_weisser-Hintergrund_rgb-1100x367.png 1100w\" sizes=\"auto, (max-width: 1134px) 100vw, 1134px\" \/><\/figure>\n<\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1260\" height=\"888\" src=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/TUHH_logo-wortmarke_en_rgb.png\" data-credit=\"TUHH Hamburg University of Technology\" alt=\"\" class=\"wp-image-2419\" style=\"width:187px;height:auto\" srcset=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/TUHH_logo-wortmarke_en_rgb.png 1260w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/TUHH_logo-wortmarke_en_rgb-300x211.png 300w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/TUHH_logo-wortmarke_en_rgb-1024x722.png 1024w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/TUHH_logo-wortmarke_en_rgb-768x541.png 768w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/TUHH_logo-wortmarke_en_rgb-1100x775.png 1100w\" sizes=\"auto, (max-width: 1260px) 100vw, 1260px\" \/><\/figure>\n<\/div>\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"793\" height=\"439\" src=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/Aric_Logo_RGB_pos-edited.png\" data-credit=\"Artificial Intelligence Center Hamburg (ARIC) e.V.\" alt=\"aric logo\" class=\"wp-image-2425\" style=\"width:172px;height:auto\" srcset=\"https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/Aric_Logo_RGB_pos-edited.png 793w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/Aric_Logo_RGB_pos-edited-300x166.png 300w, https:\/\/www.hsu-hh.de\/imb\/wp-content\/uploads\/sites\/677\/2024\/09\/Aric_Logo_RGB_pos-edited-768x425.png 768w\" sizes=\"auto, (max-width: 793px) 100vw, 793px\" \/><\/figure>\n\n\n\n<div style=\"height:13px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Important Dates<\/h2>\n\n\n\n<p>Paper Submission: <s>December 20, 2024<\/s> <strong>January 17, 2025<\/strong><\/p>\n\n\n\n<p>Reviewer Feedback: January 31, 2025<\/p>\n\n\n\n<p>Notification of Acceptance: February 11, 2025<\/p>\n\n\n\n<p>Camera-Ready Submission: February 28, 2025<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Submission Guidelines<\/h2>\n\n\n\n<p>Papers are chosen on a peer-review basis and accepted papers are published by the Helmut Schmidt University Press (openHSU) accom\u00adpanied by a unique DOI. Papers with commercial character will not be taken into consideration. The length of the papers should not exceed 10 pages.<\/p>\n\n\n\n<p>Please use the following template for your submission:<\/p>\n\n\n\n<p><a href=\"https:\/\/www.overleaf.com\/latex\/templates\/machine-learning-4-cyber-physical-systems-ml4cps\/pvdjhrcrnqbj\" data-type=\"link\" data-id=\"https:\/\/www.overleaf.com\/latex\/templates\/machine-learning-4-cyber-physical-systems-ml4cps\/pvdjhrcrnqbj\" rel='nofollow'>ML4CPS template<\/a><\/p>\n\n\n\n<p>Paper Submission will be handled via easychair:<\/p>\n\n\n\n<p><a href=\"https:\/\/easychair.org\/my\/conference?conf=ml4cps2025\" data-type=\"link\" data-id=\"https:\/\/easychair.org\/account2\/signin_timeout?l=381449608547800587\" rel='nofollow'>Submission Page<\/a><\/p>\n\n\n\n<p>For additional details and submission guidelines, please refer to<\/p>\n\n\n\n<p><a href=\"mailto:ml4cps_orga@hsu-hh.de\" rel='nofollow'>ml4cps_orga@hsu-hh.de<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Committee<\/h2>\n\n\n\n<p><strong>General Chairs:<\/strong><\/p>\n\n\n\n<p><abbr title=\"Professor\">Prof.<\/abbr> J\u00fcrgen Beyerer, Fraunhofer IOSB<\/p>\n\n\n\n<p><abbr title=\"Professor\">Prof.<\/abbr> Oliver Niggemann, <abbr title=\"Helmut Schmidt Universit\u00e4t\">HSU<\/abbr><\/p>\n\n\n\n<p><abbr title=\"Professor\">Prof.<\/abbr> Achim Kampker, RWTH Aachen<\/p>\n\n\n\n<p><abbr title=\"Professor\">Prof.<\/abbr> G\u00f6rschwin Fey, TUHH<\/p>\n\n\n\n<p>Alois Kritl, ARIC<\/p>\n\n\n\n<p><strong>Organising Committee:<\/strong><\/p>\n\n\n\n<p>Christian K\u00fchnert, Fraunhofer IOSB<\/p>\n\n\n\n<p>Alexander Diedrich, <abbr title=\"Helmut Schmidt Universit\u00e4t\">HSU<\/abbr><\/p>\n\n\n\n<p>Rui Yan Li, RWTH Aachen<\/p>\n\n\n\n<p>Phillip Johann Overl\u00f6per, <abbr title=\"Helmut Schmidt Universit\u00e4t\">HSU<\/abbr><\/p>\n\n\n\n<p><strong>Program Committee:<\/strong><\/p>\n\n\n\n<p>Volker Lohweg, HS-OWL<\/p>\n\n\n\n<p>Alexander Fay,&nbsp;<abbr title=\"Helmut Schmidt Universit\u00e4t\">HSU<\/abbr><\/p>\n\n\n\n<p>Alexander Windmann, <abbr title=\"Helmut Schmidt Universit\u00e4t\">HSU<\/abbr><\/p>\n\n\n\n<p>Ingo Pill<\/p>\n\n\n\n<p>Alexander Maier, HS Bielefeld<\/p>\n\n\n\n<p>Kaja Balzereit, HS Bielefeld<\/p>\n\n\n\n<p>Silke Merkelbach, Fraunhofer IEM<\/p>\n\n\n\n<p>Marcel Drescher, RWTH Aachen<\/p>\n\n\n\n<p>Idel Montalvo, IngeniousWare&nbsp;<abbr title=\"Gesellschaft mit beschr\u00e4nkter Haftung\">GmbH<\/abbr><\/p>\n\n\n\n<p>Andreas Schwung, Fraunhofer IOSB<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Previous Conferences<\/h2>\n\n\n\n<p class=\"has-medium-font-size\"><a href=\"https:\/\/www.hsu-hh.de\/imb\/en\/ml4cps_2024\" data-type=\"page\" data-id=\"2411\">ML4CPS 2024<\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><a href=\"https:\/\/www.hsu-hh.de\/imb\/en\/ml4cps_2023\" data-type=\"URL\" data-id=\"https:\/\/www.hsu-hh.de\/imb\/en\/ml4cps_2023\" target=\"_blank\" rel=\"noreferrer noopener\">ML4CPS 2023<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Conference in Berlin, March 6-7, 2025 Registration Registration is now open for the conference. We invite all attendees to secure their participation by registering through the following link: Register Here. [&hellip;]<\/p>\n","protected":false},"author":2725,"featured_media":0,"parent":2932,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-2725","page","type-page","status-publish","hentry","category-research"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/pages\/2725","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/users\/2725"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/comments?post=2725"}],"version-history":[{"count":1,"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/pages\/2725\/revisions"}],"predecessor-version":[{"id":2726,"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/pages\/2725\/revisions\/2726"}],"up":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/pages\/2932"}],"wp:attachment":[{"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/media?parent=2725"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/categories?post=2725"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/imb\/wp-json\/wp\/v2\/tags?post=2725"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}