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layout: single
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title: "InnoMi Project"
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categories: projects
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excerpt: "Early-stage mobile/distributed tech transfer between academia and industry (Bavaria)."
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@ -30,16 +29,3 @@ header:
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* **Dissemination & Editorial Leadership:** 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 [Digitale Welt Magazin (DW)](https://digitaleweltmagazin.de/) from 2018 to 2023, a role supported by the InnoMi initiative.
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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.
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=======
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title: "Mobile Internet Innovations"
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categories: projects
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excerpt: "Aiming to make Bavaria more economically strong by transferring innovations from the university to industry at an early stage."
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header:
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teaser: assets/images/projects/innomi.png
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---
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{: .align-left style="padding:0.1em; width:5em"}
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---
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layout: single
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title: "DW Editorial Lead"
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categories: projects
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excerpt: "Led online editorial team for DIGITALE WELT Magazin (2018-2023)."
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@ -41,14 +40,3 @@ Prior to leading the online team, I contributed to the print editions of the mag
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<figcaption>Examples of DIGITALE WELT Print Magazine Covers</figcaption>
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</center>
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<br>
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=======
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title: "Leading an editorial office."
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categories: projects
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excerpt: "A unique line of text to describe this post that will display in an archive listing and meta description with SEO benefits."
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header:
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teaser: assets/images/projects/dw.png
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---
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{: .align-left style="padding:0.1em; width:5em"}
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---
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layout: single
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title: "ErLoWa Leak Detection"
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categories: projects
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excerpt: "Deep learning detects acoustic water leaks with SWM."
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@ -60,15 +59,3 @@ In collaboration with Munich's municipal utility provider, Stadtwerke München (
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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.
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{% include reference.html %}
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=======
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title: "Detection and localization of leakages in water networks."
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categories: projects
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excerpt: "A u"
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tags: acoustic anomaly-detection
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header:
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teaser: assets/images/projects/pipe_leak.png
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---
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{: .align-left style="padding:0.1em; width:5em"}
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---
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layout: single
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title: "OpenMunich Conference Organization"
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categories: projects
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tags: community-engagement
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@ -35,14 +34,3 @@ The OpenMunich conference series during 2016 until 2019 offered a platform to sh
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* **Sponsorship Liaison:** Coordinated with Accenture and Red Hat regarding their sponsorship contributions and participation requirements.
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This role required organizational skills, effective communication across diverse stakeholder groups, and project management to ensure the successful delivery of the conference.
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=======
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title: "OpenMunich.eu - Conference Organisation"
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categories: acoustic anomaly-detection projects
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excerpt: "Organization a Munich based open-souce conference with Red Hat and Accenture"
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header:
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teaser: assets/images/projects/openmunich.png
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---
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{: .align-left style="padding:0.1em; width:5em"}
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---
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layout: single
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title: "AI-Fusion Safety"
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categories: projects
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tags: multi-agent-systems reinforcement-learning safety emergence simulation
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@ -68,14 +67,3 @@ To facilitate research into these phenomena, key contributions included the deve
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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.
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{% include reference.html %}
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=======
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title: "AI-Fusion: Emergence Detection for mixed MARL systems."
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categories: acoustic anomaly-detection projects
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excerpt: "Bringing together agents can be an inherent safety problem. Building the basis to mix and match."
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header:
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teaser: assets/images/projects/robot.png
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---
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{: .align-left style="padding:0.1em; width:5em"}
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---
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layout: single
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title: "LMU DevOps Admin"
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categories: projects
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tags: devops kubernetes server-administration infrastructure
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@ -52,12 +51,3 @@ During my tenure at the LMU Chair for Mobile and Distributed Systems, alongside
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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.
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A more comprehensive list of the technologies I work with can be found on the [About Me](/about/) page.
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=======
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title: "Linux Server Administration"
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categories: projects server_admin unix
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excerpt: "Linux Server Administration (Workstations and Web)"
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header:
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teaser: assets/images/projects/arch.png
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---
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{: .align-left style="padding:0.1em; width:5em"}
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---
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title: "Soccer Team Vectors"
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categories: research
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tags: machine-learning representation-learning sports-analytics similarity-search
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@ -22,16 +21,3 @@ The utility of these learned representations is demonstrated through several dow
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* **Team Ranking:** The embeddings provide a basis for generating data-driven team rankings.
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Across these application domains, STEVE demonstrated superior performance compared to competing approaches evaluated in the study. This work provides a valuable tool for quantitative analysis in sports analytics, enabling various machine learning tasks related to team comparison and prediction. For a comprehensive description of the methodology and results, please refer to the publication by {% cite muller2020soccer %}.
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=======
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title: "Learning Soccer-Team Vecors"
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categories: research
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excerpt: "Team market value estimation, similarity search and rankings."
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header:
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teaser: assets/figures/2_steve_algo.jpg
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---
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In this work we present STEVE - Soccer TEam VEctors, a principled approach for learning real valued vectors for soccer teams where similar teams are close to each other in the resulting vector space. STEVE only relies on freely available information about the matches teams played in the past. These vectors can serve as input to various machine learning tasks. Evaluating on the task of team market value estimation, STEVE outperforms all its competitors. Moreover, we use STEVE for similarity search and to rank soccer teams.
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{% cite muller2020soccer %}
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{:style="display:block; margin-left:auto; margin-right:auto;"}
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---
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layout: single
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title: "Computer Architecture TA"
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categories: teaching
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excerpt: "TA & Coordinator, LMU Computer Architecture course."
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@ -50,37 +49,3 @@ The course provided students with a comprehensive introduction to the fundamenta
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</div>
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<div style="clear: both;"></div>
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</div>
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=======
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title: "Lecture: Computer Architectures"
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categories: teaching
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excerpt: "Assisting to manage a lecture about the technical foundations of computer science."
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header:
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teaser: assets/images/teaching/computer_gear.png
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---
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{: .align-left style="padding:0.1em; width:5em"}In the semesters listed below, my job was to assist in organiszing this bachelors lecture of about 600 students.
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We had a team of 10-12 tutors that were employed to balance the workload.
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Also, we created each weeks graded exercise sheets as well as the written exam and organized it.
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### Contents
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<div class="table-right">
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| [Summer semester 2019](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/rechnerarchitektur-sose19/)| [Summer semester 2018](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/rechnerarchitektur-sose18/)|
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</div>This lecture provided an introduction to the technical foundations of computer science and the architecture of computers.
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Topics introduced in the lecture include representation of information in computers, classical components of a computer, arithmetic in computers, logical design of computers, switching circuits, representation of memory contents, primary and secondary memories, input and output, and pipelining.
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More concrete:
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- Representation as bits: (numbers, text, images, audio, video, programs).
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- Storage and Transfer of data, error detection and correction
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- Boolean algebra
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- Processing of data: circuit design, switching networks
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- Number representation and arithmetic
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- Switching functions, switching networks, switching plants
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- Von Neumann model
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- Machine model
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- Machine and assembly language programming
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- Introduction to Quantum Computing
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This lecture was held by Prof. Dr. Linnhoff-Popien titled "Rechnerarchitektur" at [https://www.mobile.ifi.lmu.de/](LMU).
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---
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layout: single
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title: "IoT Practical Exercise"
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categories: teaching
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tags: teaching iot mqtt python influxdb distributed-systems practical-course
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@ -60,22 +59,3 @@ The exercise aimed to solidify theoretical concepts discussed in the main lectur
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</div>
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<div style="clear: both;"></div>
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</div>
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=======
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title: "IOT: Devices & Connectivity"
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categories: teaching
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tags: teaching iot
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excerpt: "Teaching to plan and develope distributed mobile apps for Android as a team."
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header:
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teaser: assets/images/teaching/server.png
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---
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{: .align-left style="padding:0.1em; width:5em"}
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In the context of the lecture [Internet of Things (IoT)](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/iot-ws1819/), my task was to come up with a practical exercise which could be implemented in the scope of 1-2 classes. We went with a typical [MQQT](https://mqtt.org/) based communication approach, which incooperated an [InfluxDB](https://www.influxdata.com/) backend, while simulating some high frequency sensors.
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The task was to implement this all from scratch in [Python](https://www.python.org/), which was tought in seperate [lecture](/teaching/python).
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{:style="display:block; margin-left:auto; margin-right:auto; padding: 2em;"}
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This practical course was held in front of about 200 students in winter 2018.
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### Contents
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The general topics of the lecture included: **1)** Arduino and Raspberry Pi, **2)** Wearables and ubiquitous computing, **3)** Metaheuristics for optimization problems, **4)** Edge/fog/cloud computing and storage, **5)** Scalable algorithms and approaches, **6)** Spatial data mining, **7)** Information retrieval and mining, **8)** Blockchain and digital consensus, **9)** Combinatorial optimization in practice, **10)** Predictive maintenance systems, **11)** Smart IoT applications, **12)** Cyber security & **13)** Web of Things
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---
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layout: single
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title: "Python 101 Course"
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categories: teaching
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tags: teaching python programming introductory-course curriculum-development
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</div>
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<div style="clear: both;"></div>
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</div>
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=======
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title: "Lecture: Python 101"
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categories: teaching
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tags: teaching coding
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excerpt: "Teaching the basics of python."
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header:
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teaser: assets/images/teaching/py.png
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---
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{: .align-left style="padding:0.1em; width:5em"}
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The "Python 101"-Lecture was held within the context of the [IOT](/teaching/IOT/) lecture, held in winter semester 2018.
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Over the course of four classes, we tought an extensive introduction to the [`Python`](https://www.python.org/) programming language.
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Not only was the cource slides developed by me and my collegue, we also shared the lectures in front of about 200 students.
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There was also a practical part of the course, which allowed students to the practical acquisition of programming skills in the `Python` programming language.
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title: "Operating Systems TA"
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categories: teaching
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excerpt: "TA & Coordinator, Operating Systems lecture (~350 students), system programming."
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@ -48,31 +47,3 @@ The lecture built upon the foundations laid in [Computer Architecture](/teaching
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</div>
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Practical exercises emphasized concurrent programming using Java Threads.
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=======
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title: "Lecture: Operating Systems"
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categories: teaching
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excerpt: "Teaching the inner working of bits and bytes."
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header:
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teaser: assets/images/teaching/computer_os.png
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---
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{: .align-left style="padding:0.1em; width:5em"}In the semesters listed below, my job was to assist in organiszing this bachelors lecture of about 300-400 students.
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We had a team of 10-12 tutors that were employed to balance the workload.
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Also, we created each weeks graded exercise sheets as well as the written exam and organized it.
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### Content
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<div class="table-right">
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| [Winter semester 2019](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/bs-ws1920/)|
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| [Summer semester 2018](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/bs-ws1819/)|
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</div>The lecture `Operating Systems` was a continuation of the lecture [`Computer Architecture`](teaching/computer_achitecture/) held in the summer semester.
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The focus of the lecture lay on presenting the concepts of system programming.
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This included the programming of the operating system and of service programs such as editors, compilers and interpreters.
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The lecture provided an overview of the main tasks and problem around operating system, with particular emphasis on the areas of synchronization, process communication, kernel and memory management.
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Java (in particular the Thread API) was used to teach the practical implementation of the concepts introduced in the lecture in the practical exercises.
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At the end of the lecture, the architecture of distributed systems, cross-computer communication and remote procedure calls was discussed, also.
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This lecture was held by Prof. Dr. Linnhoff-Popien titled `Betriebssysteme` at [LMU](https://www.mobile.ifi.lmu.de/).
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Reference in New Issue
Block a user