©Andreas Heddergott / TUM
19.08.2025
Nils Thuerey Develops New Method for Realistic Fluid Simulation
TUM News Article
MCML Principal Investigator Nils Thuerey and his team at TUM have introduced a novel approach that enables highly realistic simulations of fluids, capturing the complex interplay of air and water. The method holds promise for applications in visual effects, scientific research, and engineering.
18.08.2025
Mingyang Wang Receives Award at ACL 2025
Award for Impactful Contribution to Reliable and Inclusive NLP
MCML Junior Member Mingyang Wang has been honored with the SAC Highlights Award at ACL 2025 for the paper “Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models.” This award recognizes impactful research advancing the understanding of factual …
18.08.2025
Digital Twins for Surgery - With Researcher Azade Farshad
Research Film
Azade Farshad researches digital twins of patients at TUM and MCML to improve personalized treatment, surgical planning, and training. Using graph-based analysis and multimodal patient data, she builds models that create realistic surgical simulations — helping surgeons preview procedures, spot …
14.08.2025
Digdeep Podcast: From University to CEO and Back – Entrepreneurship at LMU With Philipp Baaske
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Philipp Baaske let us know, how he turned his doctoral research into the globally successful company NanoTemper, which offers innovative machines for the pharmaceutical industry. The German education system opened up this opportunity for him, and he sees it as his duty to give something back to society. Starting in …
12.08.2025
Tracking Actions in Space and Time: ICCV 2025 Challenge & Workshop
MCML Research Insight - With Tanveer Hannan, Mark Weber, and Thomas Seidl
Tracking actions, not just objects: The Spatiotemporal Action Grounding Challenge and Workshop at ICCV 2025 focusses on detecting and localizing actions both in space and time within complex, real-world videos. Unlike standard action recognition, this task requires identifying when and where an action occurs, pushing models to handle long, diverse, …