diff --git a/_posts/projects/2019-02-24-dw.md b/_posts/projects/2019-02-24-dw.md
index 7e4b2403..3b5e6331 100644
--- a/_posts/projects/2019-02-24-dw.md
+++ b/_posts/projects/2019-02-24-dw.md
@@ -8,6 +8,10 @@ header:
---
{: .align-left style="padding:0.1em; width:5em"}
+During my doctoral studies and research tenure at LMU Munich, I led the online editorial team for *DIGITALE WELT Magazin*. This role, supported by the [InnoMi project](/projects/innomi/), involved managing the publication's digital presence and strategic direction, aiming to effectively bridge scientific research and industry perspectives on digitalization trends.
+
+---
+
**Role:** Head of Online Editorial Team
**Publication:** [DIGITALE WELT Magazin (DW)](https://digitaleweltmagazin.de)
**Affiliation:** [LMU Munich](/projects/innomi/)
@@ -15,10 +19,6 @@ header:
---
-During my doctoral studies and research tenure at LMU Munich, I led the online editorial team for *DIGITALE WELT Magazin*. This role, supported by the [InnoMi project](/projects/innomi/), involved managing the publication's digital presence and strategic direction, aiming to effectively bridge scientific research and industry perspectives on digitalization trends.
-
----
-
**Key Responsibilities & Achievements:**
* **Digital Strategy & Content Management:** 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.
diff --git a/_posts/projects/2019-02-24-water-networks.md b/_posts/projects/2019-02-24-water-networks.md
index f11bb003..cf99a440 100644
--- a/_posts/projects/2019-02-24-water-networks.md
+++ b/_posts/projects/2019-02-24-water-networks.md
@@ -11,6 +11,10 @@ skills: Acoustic Signal Processing, Deep Learning (CNNs), Anomaly Detection, Rea
---
{: .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.
+
+---
+
**Project:** ErLoWa (Erkennung von Leckagen in Wasserleitungsnetzen)
**Partner:** [Stadtwerke München (SWM)](https://www.swm.de/)
**Duration:** Late 2018 - Early 2020
@@ -18,8 +22,6 @@ skills: Acoustic Signal Processing, Deep Learning (CNNs), Anomaly Detection, Rea
---
-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.
-
**Methodology & Activities:**
* **Data Acquisition:** Sensor networks comprising contact microphones were deployed across sections of Munich's suburban water network to capture continuous acoustic data.
diff --git a/_posts/projects/2019-10-15-OpenMunich.md b/_posts/projects/2019-10-15-OpenMunich.md
index fb4bcdb4..a934e32f 100644
--- a/_posts/projects/2019-10-15-OpenMunich.md
+++ b/_posts/projects/2019-10-15-OpenMunich.md
@@ -1,6 +1,6 @@
---
layout: single
-title: "OpenMunich Lead Organizer"
+title: "OpenMunich Conference Organization"
categories: projects
tags: community-engagement
excerpt: "Led OpenMunich (2018-19) connecting academia, industry, students on open-source."
@@ -11,6 +11,11 @@ skills: Event Management, Stakeholder Coordination (Industry & Academia), Projec
---
{: .align-left style="padding:0.1em; width:5em"}
+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.
+
+---
+
**Event:** [OpenMunich Conference](https://openmunich.eu)
**Partners:** [Accenture](https://www.accenture.com/de-de), [Red Hat](https://www.redhat.com/en)
**Affiliation:** Chair for Mobile and Distributed Systems, LMU Munich
@@ -19,12 +24,7 @@ skills: Event Management, Stakeholder Coordination (Industry & Academia), Projec
---
-As Lead Organizer, I spearheaded the planning and execution of the OpenMunich conference series during 2018 and 2019. 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 conference provided 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.
-
{: .align-right style="padding:0.1em; width:10em; margin-left: 1em;" alt="Screenshot of the OpenMunich conference website homepage"}
-
**Key Responsibilities:**
* **Overall Event Management:** Oversaw all logistical aspects of the conference planning and execution, including venue coordination, scheduling, and technical infrastructure setup.
@@ -33,4 +33,4 @@ The conference provided a platform to showcase research emerging from the univer
* **Website & Communication:** Managed the official conference website openmunich.eu (offline), including content creation, structural design, updates, and maintenance. Handled external communications and promotions.
* **Sponsorship Liaison:** Coordinated with Accenture and Red Hat regarding their sponsorship contributions and participation requirements.
-This role required comprehensive organizational skills, effective communication across diverse stakeholder groups, and project management to ensure the successful delivery of the conference.
\ No newline at end of file
+This role required organizational skills, effective communication across diverse stakeholder groups, and project management to ensure the successful delivery of the conference.
\ No newline at end of file
diff --git a/_posts/projects/2020-05-01-FIKS.md b/_posts/projects/2020-05-01-FIKS.md
index 02217468..912f57af 100644
--- a/_posts/projects/2020-05-01-FIKS.md
+++ b/_posts/projects/2020-05-01-FIKS.md
@@ -24,12 +24,14 @@ skills: Multi-Agent Reinforcement Learning (MARL), Emergence Analysis, AI Safety
{: .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.
+
+ ---
+
**Project:** AI-Fusion
**Partner:** [Fraunhofer Institute for Cognitive Systems (IKS)](https://www.iks.fraunhofer.de/)
**Duration:** 2022 - 2023
**Objective:** 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).
-
- 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.
diff --git a/_posts/projects/2023-10-15-server-administration.md b/_posts/projects/2023-10-15-server-administration.md
index b9beb7dd..605f6b9b 100644
--- a/_posts/projects/2023-10-15-server-administration.md
+++ b/_posts/projects/2023-10-15-server-administration.md
@@ -11,13 +11,16 @@ skills: Kubernetes (K3S), Ansible, Docker, CI/CD (GitLab CI, Argo CD), GitOps, L
---
{: .align-left style="padding:0.1em; width:5em" alt="Arch Linux Logo"}
+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.
+
+---
+
**Role:** IT Infrastructure & DevOps Lead (Informal)
**Affiliation:** Chair for Mobile and Distributed Systems, LMU Munich
**Duration:** 2018 - 2023 (Concurrent with Research Role)
**Objective:** Continious maintenance of IT infrastructure
-
-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.
+---
**Key Initiatives & Achievements:**
@@ -39,7 +42,7 @@ During my tenure at the LMU Chair for Mobile and Distributed Systems, alongside
* **ML Workflow Optimization:**
* 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 **Docker**.
- * Utilized the self-hosted **GitLab Container Registry** for storing ML environment images and integrated **Weights & Biases (WandB)** for robust experiment tracking, visualization, and collaboration, significantly improving reproducibility and simplifying resource management on high-performance workstations.
+ * Utilized the self-hosted **GitLab Container Registry** for storing ML environment images.
---