Co-Mentoring
Many of our industry partners welcome researchers from TUM as co-mentors of TUM-DI-LAB projects. A co-mentor advises, along with industry mentors, TUM-DI-LAB students working on a particular project that matches the co-mentor's interest. Co-mentors profit from the exchange of ideas with industry experts in the field, are in touch with current challenges faced by the industry, and profit from the TUM-DI-LAB network of experts and partners.
Are you interested in being a co-mentor? Please contact Dr. Ricardo Acevedo Cabra
Current and former Co-Mentors:
Dr. Ricardo Acevedo Cabra
E-Mail: ricardo.acevedo[at]tum.de
Coordinator & Project Leader of TUM Data Innovation Lab (TUM-DI-LAB). He is the project leader of all TUM-DI-LAB projects up to date and supervises all co-mentors.
Prof. Massimo Fornasier
E-Mail: massimo.fornasier[at]tum.de
TUM Chair of Applied and Numerical Analysis
Massimo co-mentors the winter semester 2023 projects:
- Visual Question Answering using Large Language Models
- Explainable AI Applied to Dynamic Credit Risk Models
He also co-mentored seveal projects in previous semesters.
Dr. Alessandro Scagliotti
E-Mail: scag[at]ma.tum.de
Post-Doc at the TUM Chair of Applied and Numerical Analysis
Alessandro co-mentors the winter semester 2023 projects:
- Topology regularised foundation model for medical image segmentation
- AI based Analysis of GNSS Data in a Railway Environment
He also co-mentored seveal projects in previous semesters.
Pascal Heid
E-Mail: hepa[at]ma.tum.de
Post-Doc at the TUM Chair of Applied and Numerical Analysis
Pascal co-mentors the winter semester 2023 projects:
Cristina Cipriani
E-Mail: cristina.cipriani[at]ma.tum.de
Doctoral candidate at the TUM Chair of Applied and Numerical Analysis
Crsitina co-mentors the winter semester 2022 projects:
- Innovative Machine Learning Algorithm meets Carrera for auto piloting
- Graph Learning Based Fashion Recommendations
She also co-mentored seveal projects in previous semesters.
Konstantin Riedl
E-Mail: konstantin.riedl[at]ma.tum.de
As of 2022 he is Doctoral candidate at the TUM Chair of Applied Numerical Analysis
Konstantin co-mentors the winter semester 2022 projects:
Dr. Kerstin Lux
E-Mail: kerstin.lux[at]tum.de
Postdoctoral Researcher at the TUM Chair of Multiscale and Stochastic Dynamics
Kerstin will co-mentor the summer semester 2021 project:
Jun Wu
E-Mail: jun1.wu@tum.de
Doctoral candidate at the TUM Chair of Mathematical Statistics
He co-mentors the summer semester 2022 project:
Nan Yang
E-Mail: n.yang@tum.de
As of 2022 Nan Yang is a Doctoral candidate at the TUM Associate Professorship of Business Analytics (TUM Campus Heilbronn)
He co-mentors the winter semester 2022/2023 project:
Yannick Limmer
E-Mail: y.limmer@tum.de
As of 2022 Yanick is a Doctoral candidate at the TUM Chair of Mathematical Finance.
He co-mentors the summer semester 2022 project:
Konstantin Göbler
E-Mail: konstantin.goebler@tum.de
Doctoral candidate at the TUM Chair of Mathematical Statistics
Konstantin will co-mentor the winter semester 2020 project:
David Strieder
E-Mail: david.strieder@tum.de
Doctoral candidate at the TUM Chair of Mathematical Statistics
Konstantin will co-mentor the summer semester 2021 project:
A robust comparison of causal effects from observational data in healthcare
Michael Rauchensteiner
E-Mail: Michael.Rauchensteiner@ma.tum.de
Doctoral candidate at the TUM Chair of Applied Numerical Analysis .
He co-mentors the summer semester 2021 projects:
- Multi-lane Detection in Urban Scenarios with Deep Learning
- Human-in-the-loop Video Mining
- Few-shot object detection using self-supervised learning
In previous semesters Michael co-mentored several TUM-DI-LAB the projects:
Philippe Sünnen
E-Mail: philippe.suennen@ma.tum.de
Doctoral candidate at the Chair of Applied Numerical Analysis (TUM).
He co-mentors the summe semester 2021 projects:
- Automatic Calibration in Transmission Electron Microscopy
- Building and Applying an Ontology-Based Medical Graph Database
In previous semesters he co-mentored several projects
Özge Sahin
E-Mail: ozge.sahin@tum.de
Doctoral Researcher at the Associate TUM Professorship of Applied Mathematical Statistics
She co-mentors the summer semester 2021 project
She co-mentored other projects in previous semesters
Marija Tepegjozova
E-Mail: m.tepegjozova@tum.de
Doctoral candidate at the TUM Professorship of Applied Mathematical Statistics.
She co-mentors the summer semester 2021 project:
Analyzing the goodness of fit of Regression Models
In previous semesters Marija co-mentored other projects
Leonardo Araujo
E-Mail: Leonardo.Araujo@tum.de
Doctoral candidate at the TUM Chair of Advanced Mathematics and Analytical Mechanics.
He co-mentors the summer semester 2021 project:
- Benchmarking Matrix for Automated Machine Learning
- The digital engineer:A NLP and graph based assistant to solve engineering challenges
In previous semesters he co-mentored other projects.
Laure Vuaille
E-Mail: laure.vuaille@tum.de
Doctoral candidate at the Chair of Applied Numerical Analysis (TUM) in collaboration with BMW Group.
She is co-mentor of the summer semester 2021 project:
Domain Adaptation for Annotation-Efficient Image Segmentation
In previous semester she co-mentored several TUM-DI-LAB projects:
Olga Graf
E-Mail: graf@ma.tum.de
Doctoral candidate at the TUM Professorship of Optimization and Data Analysis
She is co-mentor of the summer semester 2021 project:
Customer Feedback Analytics Platform
In previous semester she co-mentored other projects:
Former Co-Mentors
Dr. Maximilian Engel
E-Mail: maximilian.engel@tum.de
Postdoctoral Researcher at the TUM Chair of Multiscale and Stochastic Dynamics
Maximilian will co-mentor the summer semester 2020 project:
Maximilian Fiedler
E-Mail: maximilian.fiedler@tum.de
Doctoral candidate at the TUM Chair of Applied Geometry and Discrete Mathematics
He co-mentors the summer semester 2020 project:
- Predictive Process Management for aircraft MRO
Dr. Tobias Köppl
E-Mail: koepplto@ma.tum.de
Lecturer (akademischer Rat auf Zeit) at the Chair for Numerical Mathematics (TUM)
He co-mentors the summer semester 2020 project:
- Uncertainty Estimation for Deep Medical Image Segmentation
Dr. Matthias Heinig
E-Mail: matthias.heinig@helmholtz-muenchen.de
Head of bioinformatics core facility, HMGU in Munich
Matthias co-mentors the summer semester 2020 project:
- Deep learning for genetic risk prediction
Dr. Nada Sissouno
E-Mail: sissouno@ma.tum.de
Lecturer (akademische Rätin auf Zeit) at the TUM Chair of Applied and Numerical Analysis
Nada co-mentored the winter semester 2019 project:
Oleh Melnyk
E-Mail: oleh.melnyk@tum.de
Doctoral candidate at the Chair of Applied Numerical Analysis (TUM).
He currently co-mentors the summer semester 2020 project:
- Multi-Agent Reinforcement Learning for Logistics
In previous semesters Oleh co-mentored the projects:
Dr. Stephan Haug
E-Mail: haug@tum.de
Head of the statistical consulting unit TUM|Stat.
Stephan currently co-mentored the summer semester 2019 project:
Sandro Belz
E-Mail: sandro.belz@ma.tum.de
Doctoral candidate at the Chair of Applied Numerical Analysis (TUM). He co-mentored the summer semester 2019 project:
Tim Fuchs
E-Mail: Tim.Fuchs@ma.tum.de
Doctoral candidate at the TUM Professorship of Optimization and Data Analysis
He co-mentors the winter semester 2020 project:
i4.0 Monitoring System for Better Utilization of Warehouse Forklift Fleet
In previous semesters Tim co-mentored the projects:
Fabian Wagner
E-Mail: fabian.wagner@ma.tum.de
Doctoral candidate at the TUM Chair for Numerical Mathematics. He co-mentors the summer semester 2020 project:
- Radar SLAM for Autonomous Driving
Stefan Bamberger
E-Mail: stefan.bamberger@tum.de
Doctoral candidate at the TUM Chair of Applied Numerical Analysis.
He co-mentors the winter semester 2020 project:
Smart speech recognition engine
In previous semesters he co-mentored