Internal Retreat 2021

This year the annual internal retreat took place online via Zoom.

Eight doctoral researchers present their PhD projects and current results. Generally the internal retreat is designed as a platform where doctoral researchers inform each other about their latest
research results and open issues. It is a forum for knowledge transfer and information exchange. It follows a Docs‐for‐ Docs concept, where they select content and conference style. As a follow-up to the retreat, a workshop for the doctoral researchers will be held in July, offering opportunities for exchange and networking.

Leonardo Boledi successfully defended his dissertation

Congratulations to Leonardo Boledi for the successful defense of his dissertation on "Numerical Multiphysics Modeling with Space-Time Finite Elements: Assessing the Performance of Thermal Melting…

Mario Rüttgers successfully defended his dissertation

Congratulations to Mario Rüttgers for the successful defense of his dissertation on "Automated Surgery Planning for Improved Nasal Breathing".

First Hackathon „Quantum Computational Science and Engineering”

The "Quantum Computational Science and Engineering" hackathon took place for the first time as part of the MSS profile area and JARA CSD. PhD students were given the opportunity to use the Quantum…

Daniel Wolff successfully defended his dissertation

Congratulations to Daniel Wolff for the successful defense of his dissertation on "Learning-Based Approaches for the Analysis and Optimization of Profile Extrusion Dies and Bioreactors".

HDS-LEE Retreat 2023

The doctoral researchers had three days of intensive exchange on their projects and on Data Science applications and methods. In the morning there were lectures and in the afternoon team building…

Viktor Grimm successfully defended his dissertation

Congratulations to Viktor Grimm for the successful defense of his dissertation on "Physics-Aware Convolutional Neural Networks for Computational Fluid Dynamics".

Alper Yegenoglu successfully defended his dissertation

Congratulations to Alper Yegenoglu for the successful defense of his dissertation on "Gradient-Free Optimization of Artificial and Biological Networks using Learning to Learn"

HIDA Lecture@HDS-LEE: Michael I. Jordan

Michael I. Jordan, Professor of Electrical Engineering and Computer Sciences and Professor of Statistics at UC Berkeley talked about "On Learning-Aware Mechanism Design" in the HIDA Lecture@HDS-LEE.