
Dr.-Ing. Edouard Fouché
- Wissenschaftlicher Mitarbeiter (Postdoc)
- Raum: 342
- Tel.: +49 721 608-47337
- Fax: +49 721 608-47343
- edouard fouche ∂does-not-exist.kit edu
- edouardfouche.com
Lehrstuhl
Prof. K. BöhmKarlsruher Institut für Technologie
Am Fasanengarten 5
76131 Karlsruhe
GERMANY
Summary
Hello, I am a Postdoctoral Researcher in Data Science at the Karlsruhe Institute of Technology (KIT).
My dissertation, "Estimating Dependency, Monitoring, and Knowledge Discovery in High-Dimensional Data Streams" (Advisor: Prof. Klemens Böhm), defended on July 2020, obtained the highest distinction (Summa Cum Laude). Furthermore, I received the Helmholtz Doctoral Prize 2020 for my Ph.D. work.
I hold a Master's degree in Computer Science from KIT and a Master's degree in Engineering from ESIEE Paris. I have advised 10+ students for their Master/Bachelor's theses and conducted multiple projects with major industry actors (such as Daimler, BMW, IBM, ...). On the side, I am pursuing an MBA at the Quantic School of Business and Technology.
My research focuses on:
- Unsupervised Learning in High-Dimensional Data Streams
- Correlation Analysis, Dependency Estimation
- Bandit Algorithms, Sequential Decision Making
- Outlier Detection, Clustering
You may find more information about me here:
- Personal Website: https://edouardfouche.com
- Publications: Google Scholar
- Social Network: LinkedIn
Titel | Datum | Typ | Bearbeiter | Zusatzfeld |
---|---|---|---|---|
Interactive Visualization of Correlations in High-Dimensional Streams | Mar 19 - Jun 19 | Bachelor's thesis | Yimin Zhang |
|
Relevance-Driven Feature Engineering | Jul 17 - Dec 17 | Master's thesis | Rosina Kazakova |
In collaboration with BMW AG |
On the Interpretability of Anomaly Detection via Neural Networks | Apr 18 - Sep 18 | Master's thesis | Marco Sturm |
In collaboration with Daimler AG |
Anytime Tradeoff Strategies for Multiple Targets | May 19 - Nov 19 | Master's thesis | Marco Heyden |
|
Energy Time Series Reduction | Jan 18 - Apr 18 | Bachelor's thesis | Lucas Krauß |
|
Quality of High-Contrast Subspace Search in Data Streams with Missing Values | Feb 17 - Apr 17 | Bachelor's thesis | Jonathan Bechtle |
Co-advised with Georg Steinbuss |
Adaptive Variational Autoencoders for Outlier Detection in Data Streams | Sep 18 - Feb 18 | Master's thesis | Florian Pieper |
|
Subspace Search in Data Streams | May 19 - Oct 19 | Master's thesis | Florian Kalinke |
|
High-Dimensional Neural-Based Outlier Detection | Apr 17 - Sep 17 | Master's thesis | Daniel Popovic |
|
Statistical Generation of High-Dimensional Data Streams with Complex Dependencies | Jun 18 - Nov 18 | Bachelor's thesis | Alexander Poth |
Titel | Typ | Semester | Dozent |
---|---|---|---|
Analysetechniken für große Datenbestände 2 | Vorlesung (V) | SS 2021 | |
Praktikum: Analyse großer Datenbestände | Praktikum (P) | SS 2018 | Prof. Dr.-Ing. Klemens Böhm |
Applied and Algorithmic Views on Machine Learning | Seminar (S) | SS 2017 | |
Applied and Algorithmic Challenges in Machine Learning | Proseminar (PS) | SS 2017 | |
Praktikum: Analyse großer Datenbestände | Praktikum (P) | SS 2017 | Prof.Dr.-Ing. Klemens Böhm |