Home  | News

29.07.2025

Tiny logo
Teaser image to Yusuf Sale receives IJAR Young Researcher Award

Yusuf Sale Receives IJAR Young Researcher Award

Award for Promising Work in Uncertainty Quantification at ISIPTA 2025

MCML Junior Member Yusuf Sale, PhD student in the group of our PI Eyke Hüllermeier, has been honored with one of the IJAR Young Researcher Awards at ISIPTA 2025.

This prestigious award, presented by the International Journal of Approximate Reasoning, recognizes early-career researchers for outstanding contributions in the field of imprecise probabilities and uncertainty quantification.

Congratulations from us!

#award #research #huellermeier
Subscribe to RSS News feed

Related

Link to "See, Don’t Assume": Revealing and Reducing Gender Bias in AI

18.12.2025

"See, Don’t Assume": Revealing and Reducing Gender Bias in AI

ICLR 2025 research led by Zeynep Akata’s team reveals and reduces gender bias in popular vision-language AI models.

Link to Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine

16.12.2025

Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine

MCML PI Fabian Theis discusses AI-driven precision medicine and its growing impact on individualized healthcare and biomedical research.

Link to Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics

16.12.2025

Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics

Gitta Kutyniok discusses measurable criteria for ethical AI, promoting safe and responsible autonomous decision-making.

Link to Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

16.12.2025

Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

Hinrich Schütze discusses Giotto.ai’s efficient AI models, highlighting memory separation and context-aware decoding to improve robustness.

Link to Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas

16.12.2025

Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas

Xiaoxiang Zhu maps 2.75B buildings in 3D, revealing global urbanization, housing, and social inequalities using AI.

Back to Top