steffen/website
1
0
Fork 0
Code Actions Packages Releases Activity

projects and literature

Browse Source
This commit is contained in:
Steffen Illium
2023-12-15 17:25:23 +01:00
committed by Steffen Illium
parent 86228fbaf7
commit b1a40905da
29 changed files with 67 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
_posts/projects/2018-02-01-innomi.md
View File

@ -2,7 +2,7 @@
layout: single
title: "Mobile Internet Innovations"
categories: projects
excerpt: "Aiming to make Bavaria more economically strong by transferring innovations from the university to industry at an early stage."
excerpt: "Aiming to strengthen Bavaria by transferring innovations from the university to industry at an early stage."
header:
teaser: assets/images/projects/innomi.png
@ -10,4 +10,14 @@ header:
![logo](/assets/images/projects/innomi.png){: .align-left style="padding:0.1em; width:5em"}
This research project ([Innomi](https:\\innomi.org)) as part of the [Zentrum Digitalisierung.Bayern (ZDB)](https://www.bayern-innovativ.de/de/unternehmen/zdb) builds on the various preliminary projects that were financed by the Bavarian Ministry of Economic Affairs and took place with various Bavarian companies.
It aims to increase Bavaria's economic strength by transferring innovations from university to industry at an early stage.
Since 2016, [Innomi](https:\\innomi.org) serves as the funding backbone of research for the [Mobile Distributed Systems Chair](https:\\mobile.ifi.lmu.de). This allowed our team to perform research on various topics with students and industry partners. This resulted in many scientific contributions:
{% cite zorn23surprise %}, {% cite gabor2022self %}, {% cite muller2020soccer %}, {% cite gabor2019self %}, {% cite elsner2019deep %}, {% cite friedrich2020hybrid %}, {% cite sedlmeier2020policy %}, {% cite muller2020acoustic %}, {% cite feld2018trajectory %}, {% cite illium2020meantime %}, {% cite illium2020surgical %}, {% cite muller2020analysis %}, {% cite muller2021acoustic %}, {% cite gabor2021goals %}, {% cite illium2021visual %}; just to reference a few of them.
Additionally, and me in the role as editor in chief (online), [Digitale Welt Magazin (DW)](https://digitaleweltmagazin.de) fullfilled the purpose of connecting the industry to recent topics in the ongoing process of digitization.
Also *Innomi* allowed us to organize two conferences [Digicon](https://digitaleweltmagazin.de/digicon/) and under my administration [OpenMunich](https://openmunich.eu/).
{% details_link zorn23surprise %}

31
_posts/projects/2019-02-24-water-networks.md
View File

@ -10,3 +10,34 @@ header:
---
![Leaking pipe image](/assets/images/projects/pipe_leak.png){: .align-left style="padding:0.1em; width:5em"}
In cooperation with the Munich City Services ([Stadtwerke München (SWM)](https://www.swm.de/)), we researched the possibilities of leakage detection in real-world water networks.
Therefore, we installed contact microphones directly on the infrastructure in one of Munich's suburbs. {% cite muller2021acoustic%}
<center>
<figure class="half" style="max-width: 70%; text-align:center;">
<img src="\assets\images\projects\pipe_leak\1fe8265e-ff21-4e9c-8a2a-2ebcaec41728.jpeg" style="margin-bottom: 0em;">
<img src="\assets\images\projects\pipe_leak\8d2364f1-1b03-480d-9ed3-09d548f47383.jpeg" style="margin-bottom: 0em;">
</figure>
</center><br>
The feasibility study revealed the technical limitations of this undertaking. Nonetheless, we gain valuable insights. Through audio-to-mel spectrogram transformations and the power of machine learning, deep neural networks (conv. and recurrent) are more capable of extracting important features for the given task than classic ML approaches.
In this context, our team was able to produce further publications. {% cite elsner2019deep illium2020surgical muller2020analysis illium2022empirical%}
<center>
<figure class="half" style="max-width: 70%; text-align:center;">
<img src="\assets\images\projects\pipe_leak\5ea8f0ee-6c61-4835-944c-b77683d397ca.jpeg" style="margin-bottom: 0em;">
<img src="\assets\images\projects\pipe_leak\cc01cc58-d3f6-4220-b4f4-c7ea26b3a116.jpeg" style="margin-bottom: 0em;">
</figure>
</center><br>
This project ran from late 2018 until the early months of 2020.
{% include reference.html %}

2
_posts/research/2020-06-01-ood-classification.md
View File

@ -13,3 +13,5 @@ One critical prerequisite for the deployment of reinforcement learning systems i
{% cite sedlmeier2020peoc %}
![PEOC Performance](\assets\figures\6_ood_performance.jpg){:style="display:block; margin-left:auto; margin-right:auto"}