Home  | News

07.01.2025

Teaser image to Angela Dai is Advancing Automotive Design with Artificial Intelligence

Angela Dai Is Advancing Automotive Design With Artificial Intelligence

TUM News

Our PI, Angela Dai, focuses on the application of artificial intelligence to design and optimize complex systems. Her research contributes to the development of AI technologies that enable faster and more efficient designs in the automotive industry. By using advanced algorithms, her work helps reduce development costs and enhance the sustainability of products.

«Our dataset can be used as an extensive library in order to generate new designs quickly with the aid of AI models with the goal of designing more fuel efficient cars in the future or improving the range of electric vehicles.»


Angela Dai

MCML PI

#research #dai
Subscribe to RSS News feed

Related

Link to Zigzag Your Way to Faster, Smarter AI Image Generation

20.11.2025

Zigzag Your Way to Faster, Smarter AI Image Generation

ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.

Link to Anne-Laure Boulesteix Among the World’s Most Cited Researchers

13.11.2025

Anne-Laure Boulesteix Among the World’s Most Cited Researchers

MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.

Link to Björn Ommer Featured in Frankfurter Rundschau

13.11.2025

Björn Ommer Featured in Frankfurter Rundschau

Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.

Link to Fabian Theis Among the World’s Most Cited Researchers

13.11.2025

Fabian Theis Among the World’s Most Cited Researchers

Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.

Link to Explaining AI Decisions: Shapley Values Enable Smart Exosuits

13.11.2025

Explaining AI Decisions: Shapley Values Enable Smart Exosuits

AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.

Back to Top