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<meta itemprop="description" content="Studied MARL emergence and safety, built simulations with Fraunhofer.">
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1 minute read
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<h4 style="margin-top: 0;">Project Resources</h4>
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<li><a href="https://github.com/illiumst/marl-factory-grid/" target="_blank" rel="noopener noreferrer"><i class="fab fa-fw fa-github" aria-hidden="true"></i> GitHub Repo</a></li>
<li><a href="https://pypi.org/project/Marl-Factory-Grid/" target="_blank" rel="noopener noreferrer"><i class="fab fa-fw fa-python" aria-hidden="true"></i> Install via PyPI</a></li>
<li><a href="https://marl-factory-grid.readthedocs.io/en/latest/" target="_blank" rel="noopener noreferrer"><i class="fas fa-fw fa-book" aria-hidden="true"></i> ReadTheDocs</a></li>
<li><i class="fas fa-fw fa-file-alt" aria-hidden="true"></i> <a class="citation" href="/publications#altmann2024emergence">[Altmann et al. 2024]</a></li>
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<p><img src="/assets/images/projects/robot.png" alt="Robot Arm Icon" class="align-left" style="padding:0.1em; width:5em" />
In collaboration with Fraunhofer IKS, the AI-Fusion project addressed the critical challenge of understanding and ensuring safety in multi-agent reinforcement learning (MARL) systems. Emergence, defined as the arising of complex, often unpredictable, system-level dynamics from local interactions between agents and their environment, was a central focus due to its implications for system safety and reliability.</p>
<hr />
<p><strong>Project:</strong> AI-Fusion<br />
<strong>Partner:</strong> <a href="https://www.iks.fraunhofer.de/">Fraunhofer Institute for Cognitive Systems (IKS)</a><br />
<strong>Duration:</strong> 2022 - 2023<br />
<strong>Objective:</strong> To investigate the detection and mitigation of potentially unsafe emergent behaviors in complex systems composed of multiple interacting AI agents, particularly in scenarios involving heterogeneous agents (e.g., mixed-vendor autonomous systems).</p>
</div>
</div>
<hr />
<p>To facilitate research into these phenomena, key contributions included the development of specialized simulation tools:</p>
<p><strong>1. High-Performance MARL Simulation Environment:</strong></p>
<ul>
<li>A flexible and efficient simulation environment was developed in Python, adhering to the <a href="https://gymnasium.farama.org/main/">Gymnasium (formerly Gym) API specification</a>.</li>
<li><strong>Purpose:</strong> Designed specifically for training and evaluating reinforcement learning algorithms in multi-agent contexts prone to emergent behaviors.</li>
<li><strong>Features:</strong>
<ul>
<li><strong>Modularity:</strong> Supports diverse scenarios through configurable <code class="language-plaintext highlighter-rouge">modules</code> and <code class="language-plaintext highlighter-rouge">configurations</code>.</li>
<li><strong>Observation/Action Spaces:</strong> Handles complex agent interactions, including per-agent observations and sequential/multi-agent action coordination.</li>
<li><strong>Performance:</strong> Optimized for efficient simulation runs, enabling extensive experimentation.</li>
</ul>
</li>
</ul>
<p><strong>2. Unity-Based Demonstrator Unit:</strong></p>
<ul>
<li>A complementary visualization tool was created using the Unity engine.</li>
<li><strong>Purpose:</strong> Allows for the replay, inspection, and detailed analysis of specific simulation scenarios and agent interactions.</li>
<li><strong>Utility:</strong> Aids researchers in identifying and understanding the mechanisms behind observed emergent dynamics.</li>
<li><a href="https://github.com/illiumst/F-IKS_demonstrator">View Demonstrator on GitHub</a></li>
</ul>
<div style="clear: both;"></div>
<center>
<img src="/assets/images/projects/rel_emergence.png" alt="Diagram illustrating the concept of emergence from interactions between agents and environment" style="padding:0.1em; width:80%" />
<figcaption>Conceptual relationship defining emergence in multi-agent systems.</figcaption>
</center>
<p>This project involved close collaboration with industry-focused researchers, software development adhering to modern standards, and deep investigation into the theoretical underpinnings of emergence and safety in MARL systems. The developed tools provide a valuable platform for continued research in this critical area.</p>
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<h4 class="nav__title"><i class="fas fa-book"></i> Reference</h4>
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<ol class="bibliography"><li><span id="altmann2024emergence"><span style="font-variant: small-caps">Altmann, P., Schönberger, J., Illium, S., et al.</span> 2024. Emergence in Multi-agent Systems: A Safety Perspective. <i>International Symposium on Leveraging Applications of Formal Methods</i>, Springer Nature Switzerland Cham, 104–120.</span>
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<p class="page__date"><strong><i class="fas fa-fw fa-calendar-alt" aria-hidden="true"></i> Updated:</strong> <time class="dt-published" datetime="2020-05-01T00:00:00+02:00">May 1, 2020</time></p>
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This event, organized by the LMU Chair for Mobile and Distributed Systems in collaboration with industry partners Accenture and Red Hat, aimed to create a forum for professionals, researchers, and students interested in the latest developments within the open-source ecosystem.
The OpenMunich conference series during 2016 until 2019 offered a platform to showcase research emerging from the university, covering topics from Machine Learning to Quantum Computing, alongside practical insights and technology demonstrations from our industry partners. I took the role as Lead Organizer, which means planning and execution of the OpenMunich conference series during 2018 and 2019.</p>
<hr />
<p><strong>Event:</strong> <a href="https://openmunich.eu">OpenMunich Conference</a><br />
<strong>Partners:</strong> <a href="https://www.accenture.com/de-de">Accenture</a>, <a href="https://www.redhat.com/en">Red Hat</a><br />
<strong>Affiliation:</strong> Chair for Mobile and Distributed Systems, LMU Munich<br />
<strong>Role:</strong> Lead Organizer<br />
<strong>Duration:</strong> 2018 - 2019</p>
<hr />
<p><img src="/assets/images/projects/openmunich_website.png" alt="Screenshot of the OpenMunich conference website homepage" class="align-right" style="padding:0.1em; width:10em; margin-left: 1em;" />
<strong>Key Responsibilities:</strong></p>
<ul>
<li><strong>Overall Event Management:</strong> Oversaw all logistical aspects of the conference planning and execution, including venue coordination, scheduling, and technical infrastructure setup.</li>
<li><strong>Stakeholder Coordination:</strong> Served as the primary point of contact between the university chair, industry partners (Accenture, Red Hat), internal colleagues, external speakers, and attendees.</li>
<li><strong>Program Development Support:</strong> Collaborated with partners on defining the conference agenda, ensuring a balanced mix of academic research presentations and industry sessions (e.g., on Ansible, ML applications, QC).</li>
<li><strong>Website &amp; Communication:</strong> Managed the official conference website openmunich.eu (offline), including content creation, structural design, updates, and maintenance. Handled external communications and promotions.</li>
<li><strong>Sponsorship Liaison:</strong> Coordinated with Accenture and Red Hat regarding their sponsorship contributions and participation requirements.</li>
</ul>
<p>This role required organizational skills, effective communication across diverse stakeholder groups, and project management to ensure the successful delivery of the conference.</p>
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<p class="page__date"><strong><i class="fas fa-fw fa-calendar-alt" aria-hidden="true"></i> Updated:</strong> <time class="dt-published" datetime="2019-10-15T00:00:00+02:00">October 15, 2019</time></p>
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During my doctoral studies and research tenure at LMU Munich, I led the online editorial team for <em>DIGITALE WELT Magazin</em>. This role, supported by the <a href="/projects/innomi/">InnoMi project</a>, involved managing the publication’s digital presence and strategic direction, aiming to effectively bridge scientific research and industry perspectives on digitalization trends.</p>
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<p><strong>Role:</strong> Head of Online Editorial Team<br />
<strong>Publication:</strong> <a href="https://digitaleweltmagazin.de">DIGITALE WELT Magazin (DW)</a><br />
<strong>Affiliation:</strong> <a href="/projects/innomi/">LMU Munich</a> <br />
<strong>Duration:</strong> 2018 - 2023</p>
<hr />
<p><strong>Key Responsibilities &amp; Achievements:</strong></p>
<ul>
<li><strong>Digital Strategy &amp; Content Management:</strong> Oversaw all online content publication and social media channels, defining the editorial calendar and ensuring alignment with the magazine’s goal of integrating academic and economic discourse.</li>
<li><strong>Process Optimization &amp; Automation:</strong> Developed and implemented streamlined workflows for content acquisition, editing, and publication. Introduced automation solutions that significantly reduced manual workload and improved efficiency.</li>
<li><strong>Portfolio Expansion:</strong> Actively broadened the scope and variety of online content to better serve the target audience and reflect emerging digital trends.</li>
<li><strong>Website Relaunch Oversight:</strong> Played a key role in managing a major website redesign project, focusing on user experience, modern aesthetics, and facilitating a transition towards a digital-first content strategy.</li>
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<p>Prior to leading the online team, I contributed to the print editions of the magazine, specifically managing the “Wissen” (Knowledge) section. These earlier contributions are archived and accessible <a href="https://digitaleweltmagazin.de/alle-magazine/">online</a>.</p>
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2 minute read
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Managed LMU chair IT: Kubernetes, CI/CD, automation (2018-2023).
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<a href="/research/primate-subsegment-sorting/" rel="permalink">Primate Subsegment Sorting
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1 minute read
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Binary subsegment presorting improves noisy primate sound classification.
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<p><a href="https://www.mobile.ifi.lmu.de/team/steffen-illium/">PhD. in Comp. Science</a> <br /><a href="/research/">AI Consultant &amp; Researcher</a></p>
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<h1 id="page-title" class="page__title">Projects</h1>
<p>This section details key projects undertaken during my tenure as a Research Assistant and PhD candidate at the <a href="http://www.mobile.ifi.lmu.de/">Chair for Mobile and Distributed Systems</a>, LMU Munich (2018-2024), as well as subsequent engagements.</p>
<p>My involvement spanned a diverse range of initiatives, encompassing foundational research, applied projects in collaboration with industry partners such as Stadtwerke München (SWM) and the Fraunhofer Institute for Cognitive Systems (IKS), and significant contributions to academic community organization and outreach. Across these projects, I assumed various responsibilities, including researcher, technical lead, project communicator, conference organizer, and editorial lead.</p>
<p>The following list provides an overview of these varied engagements, highlighting the objectives, methodologies, and outcomes associated with each initiative.</p>
<h2 id="list-of-projects">List of Projects</h2>
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<a href="/projects/server-administration/" rel="permalink">LMU DevOps Admin
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1 minute read
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Managed LMU chair IT: Kubernetes, CI/CD, automation (2018-2023).
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<a href="/projects/FIKS/" rel="permalink">AI-Fusion Safety
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1 minute read
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Studied MARL emergence and safety, built simulations with Fraunhofer.
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<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
<a href="/projects/OpenMunich/" rel="permalink">OpenMunich Conference Organization
</a>
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1 minute read
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Led OpenMunich (2018-19) connecting academia, industry, students on open-source.
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1 minute read
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Deep learning detects acoustic water leaks with SWM.
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<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
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1 minute read
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Led online editorial team for DIGITALE WELT Magazin (2018-2023).
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<h2 class="archive__item-title no_toc" itemprop="headline" style="text-align: left !important;">
<a href="/projects/innomi/" rel="permalink">InnoMi Project
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<span class="page__meta-readtime">
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1 minute read
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<p class="archive__item-excerpt" itemprop="description" style="text-align: left;">
Early-stage mobile/distributed tech transfer between academia and industry (Bavaria).
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<p><a href="https://www.mobile.ifi.lmu.de/team/steffen-illium/">PhD. in Comp. Science</a> <br /><a href="/research/">AI Consultant &amp; Researcher</a></p>
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<p><img src="/assets/images/projects/innomi.png" alt="InnoMi Logo" class="align-left" style="padding: 0.1em; width: 5em;" />The InnoMi research initiative served as a vital bridge between academic research and industrial application within Bavaria. Funded by the state government and operating under the umbrella of the Zentrum Digitalisierung.Bayern, the project provided crucial resources and a collaborative framework.</p>
<hr />
<p><strong>Project:</strong> <a href="https://innomi.org">InnoMi - Innovations for the Mobile Internet</a><br />
<strong>Affiliation:</strong> Zentrum Digitalisierung.Bayern (ZDB)<br />
<strong>Funding:</strong> Bavarian Ministry of Eco. Affairs, Regional Dev. and Energy (StMWi)<br />
<strong>Duration:</strong> Supported the Chair for Mobile and Distributed Systems (2018-2023)<br />
<strong>Objective:</strong> To strengthen the Bavarian economy by facilitating the early transfer of innovations from university research, specifically at the <a href="https://www.mobile.ifi.lmu.de">Chair for Mobile and Distributed Systems at LMU Munich</a>, to local industry partners.</p>
<hr />
<p><strong>Key Outcomes &amp; Contributions:</strong></p>
<ul>
<li><strong>Research Advancement:</strong> The project directly supported foundational and applied research activities at the LMU Chair, leading to numerous scientific <a href="/publications">publications</a> across various domains within mobile and distributed systems.</li>
<li><strong>Knowledge Transfer &amp; Networking:</strong> InnoMi facilitated vital interactions between academia and industry. Within this framework, I contributed to the organization and management of key events designed to foster this exchange, including:
<ul>
<li><a href="https://openmunich.eu">OpenMunich Conference</a> (2018-2019): Served as lead organizer.</li>
<li><a href="https://digitaleweltmagazin.de/digicon/">DigiCon Conference Series</a> (2018-2019): Provided organizational assistance.</li>
</ul>
</li>
<li><strong>Dissemination &amp; Editorial Leadership:</strong> To further bridge the gap between cutting-edge digitalization trends and industry practitioners, I served as the Head of the Online Editorial Team for the associated <a href="https://digitaleweltmagazin.de/">Digitale Welt Magazin (DW)</a> from 2018 to 2023, a role supported by the InnoMi initiative.</li>
</ul>
<p>This project provided a platform not only for advancing research but also for developing crucial skills in project communication, event management, and editorial leadership, directly contributing to the technology transfer goals of the Bavarian region.</p>
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<p><img src="/assets/images/projects/arch.png" alt="Arch Linux Logo" class="align-left" style="padding:0.1em; width:5em" />
During my tenure at the LMU Chair for Mobile and Distributed Systems, alongside my research activities, I assumed responsibility for the ongoing maintenance of the group’s IT infrastructure. This encompassed Linux workstations, Windows Server-based hypervisors, Linux file servers (utilizing ZFS), and core network services.</p>
<hr />
<p><strong>Role:</strong> IT Infrastructure &amp; DevOps Lead (Informal)<br />
<strong>Affiliation:</strong> Chair for Mobile and Distributed Systems, LMU Munich<br />
<strong>Duration:</strong> 2018 - 2023 (Concurrent with Research Role)<br />
<strong>Objective:</strong> Continious maintenance of IT infrastructure</p>
<hr />
<p><strong>Key Initiatives &amp; Achievements:</strong></p>
<ul>
<li><strong>Infrastructure as Code &amp; Orchestration:</strong>
<ul>
<li>Leveraged <strong>Ansible</strong> extensively for automated configuration management and orchestration across a heterogeneous environment, ensuring consistency and reducing manual effort in managing diverse operating systems (Debian, Arch Linux, Windows), hardware configurations, and software libraries.</li>
</ul>
</li>
<li><strong>Containerization &amp; Kubernetes Migration:</strong>
<ul>
<li>Spearheaded the migration of numerous internal services (including web applications, databases, and research tools) from traditional VMs and bare-metal deployments to a <strong>Kubernetes (K3S)</strong> cluster. This enhanced scalability, resilience, and resource utilization.</li>
<li>Implemented <strong>Longhorn</strong> for persistent, distributed block storage within the Kubernetes cluster.</li>
</ul>
</li>
<li><strong>DevOps &amp; GitOps Implementation:</strong>
<ul>
<li>Established a modern DevOps workflow centered around a self-hosted <strong>GitLab</strong> instance, utilizing <strong>GitLab CI</strong> for automated testing and container building.</li>
<li>Implemented <strong>Argo CD</strong> for GitOps-based continuous deployment to the Kubernetes cluster, ensuring declarative state management and automated synchronization.</li>
<li>Managed sensitive information using <strong>Sealed Secrets</strong> for secure secret handling within the GitOps workflow.</li>
</ul>
</li>
<li><strong>Networking &amp; Security:</strong>
<ul>
<li>Configured <strong>Traefik</strong> as the primary reverse proxy and ingress controller for the Kubernetes cluster, automating routing, service discovery, and TLS certificate management.</li>
<li>Implemented and managed a <strong>WireGuard</strong> VPN server to provide secure remote access for chair members to internal resources.</li>
</ul>
</li>
<li><strong>ML Workflow Optimization:</strong>
<ul>
<li>Re-architected the execution environment for machine learning experiments. Transitioned from managing dependencies directly on workstations or via a less reliable SLURM setup to a containerized approach using <strong>Docker</strong>.</li>
<li>Utilized the self-hosted <strong>GitLab Container Registry</strong> for storing ML environment images.</li>
</ul>
</li>
</ul>
<hr />
<p><strong>Outcomes &amp; Philosophy:</strong></p>
<p>This hands-on role provided deep practical experience in modern system administration, networking, Infrastructure as Code (IaC), and cloud-native technologies within an academic research setting. It fostered my preference for minimalist, reproducible, and microservice-oriented architectures. These principles and skills are actively applied in my personal projects, including the self-hosting and management of this website and various other containerized services.</p>
<p>A more comprehensive list of the technologies I work with can be found on the <a href="/about/">About Me</a> page.</p>
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<p class="page__date"><strong><i class="fas fa-fw fa-calendar-alt" aria-hidden="true"></i> Updated:</strong> <time class="dt-published" datetime="2023-10-15T00:00:00+02:00">October 15, 2023</time></p>
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<a href="http://localhost:4000/projects/water-networks/" itemprop="url">ErLoWa Leak Detection
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1 minute read
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<p><img src="/assets/images/projects/pipe_leak.png" alt="Leaking pipe icon" class="align-left" style="padding:0.1em; width:5em" />
In collaboration with Munich’s municipal utility provider, Stadtwerke München (SWM), this project explored the feasibility of using acoustic monitoring for early leak detection in water pipe infrastructure. The primary goal was to develop machine learning models capable of identifying leak-indicating sound patterns within a real-world operational environment.</p>
<hr />
<p><strong>Project:</strong> ErLoWa (Erkennung von Leckagen in Wasserleitungsnetzen)<br />
<strong>Partner:</strong> <a href="https://www.swm.de/">Stadtwerke München (SWM)</a><br />
<strong>Duration:</strong> Late 2018 - Early 2020<br />
<strong>Objective:</strong> To investigate and develop methods for the automated detection and localization of leaks in urban water distribution networks using acoustic sensor data.<br /></p>
<hr />
<p><strong>Methodology &amp; Activities:</strong></p>
<ul>
<li><strong>Data Acquisition:</strong> Sensor networks comprising contact microphones were deployed across sections of Munich’s suburban water network to capture continuous acoustic data.</li>
<li><strong>Signal Processing:</strong> Raw audio signals were pre-processed and transformed into mel spectrograms, converting the time-domain audio data into image-like representations suitable for analysis with computer vision techniques.</li>
<li><strong>Model Development:</strong> Various machine learning approaches were evaluated. Deep neural networks, particularly Convolutional Neural Networks (CNNs), were trained on the spectrogram data to classify segments as containing leak sounds or normal background noise.</li>
<li><strong>Analysis &amp; Validation:</strong> The performance of the models was assessed against ground truth data provided by SWM, identifying both the successes and challenges of applying these methods in a complex, noisy, real-world setting.</li>
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<p><strong>Key Findings &amp; Outcomes:</strong></p>
<ul>
<li>The project demonstrated the potential of deep learning models applied to mel spectrograms for identifying relevant acoustic features indicative of water leaks.</li>
<li>CNN-based approaches showed advantages over traditional machine learning methods in capturing the complex patterns associated with leak sounds amidst background noise.</li>
<li>Significant insights were gained regarding the practical challenges of sensor deployment, data quality variability, and noise interference in real-world utility networks.</li>
<li>The research conducted within this project formed the basis for several scientific <a href="/publications">publications</a> on acoustic anomaly detection. <a href="/research/acoustic-leak-detection/">Paper writeup</a> for <a class="citation" href="/publications#muller2021acoustic">[Müller et al. 2020]</a></li>
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<p><br /></p>
<p>This applied research project provided valuable experience in handling real-world sensor data, adapting machine learning models for specific industrial challenges, and collaborating effectively with industry partners.</p>
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<h4 class="nav__title"><i class="fas fa-book"></i> Reference</h4>
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<ol class="bibliography"><li><span id="muller2021acoustic"><span style="font-variant: small-caps">Müller, R., Illium, S., Ritz, F., et al.</span> 2020. Acoustic leak detection in water networks. <i>arXiv preprint arXiv:2012.06280</i>.</span>
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<p class="page__date"><strong><i class="fas fa-fw fa-calendar-alt" aria-hidden="true"></i> Updated:</strong> <time class="dt-published" datetime="2019-02-24T00:00:00+01:00">February 24, 2019</time></p>
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