New cooperation partner: University Hospital Aachen

HDS-LEE has grown and extends the list of cooperation partners with the University Hospital Aachen.

Contact person Prof. Andreas Schuppert is an important partner and has gained particular recognition in recent years for his predictions on intensive care bed occupancy in the Corona Pandemic. Thus, HDS-LEE increases its expertise in the field of Computational Biomedicine.

Congratulations Kaveh Patakchi Yousefi

We are proud to anounce that Kaveh Patakchi Yousefi et al. (2024) was selected to be featured in the newsletter of Forschungszentrum Jülich.

Sonja Germscheid successfully defended her dissertation

Congratulations to Sonja Germscheid for the successful defense of her dissertation on "Industrial Demand Response Potential of Simultaneous Day-Ahead and Intraday Electricity Market Participation".

Robin Hilgers successfully defended his dissertation

Congratulations to Robin Hilgers for the successful defense of his dissertation on "Prediction of Magnetic Materials for Energy and Information Combining Data-Analytics and First-Principles Theory".

Ann-Kathrin Edrich successfully defended her dissertation

Congratulations to Ann-Kathrin Edrich for the successful defense of her dissertation on "Machine learning based landslide susceptibility assessment: Challenges of study design and opportunities for…

HDS-LEE Team participates at WiDS Equity in Health Datathon

An HDS-LEE team consisting of Ann-Kathrin Edrich, Joana Elena Meyer, Anna Simson, and Anton Stratmann participated in the 2024 WiDS Datathon++ University Edition.

Sophia Münker successfully defended her dissertation

Congratulations to Sophia Münker for the successful defense of her dissertation on "Generic Importance Sampling via Stochastic Optimal Control and Dimensionality Reduction for Stochastic Reaction…

Felix Terhag recieved the Best Paper Award

Congratulation to Felix Terhag for recieving the Best Paper Award at the 9th European Seminar on Computing (ESCO).

Defense Alaukik Saxena

Alaukik Saxena successfully defended his dissertation

Congratulations to Alaukik Saxena for the successful defense of his dissertation on "Machine learning workflows for automatic analysis of atom probe tomography data".