relAI Fellow Jochen Kuhn elected LMU Vice President

award

👏 Congratulations!

relAI Fellow Jochen Kuhn has been elected Vice President for Innovation in Education and Teacher Training of LMU. Alongside the other nine new Vice Presidents appointed last week by the LMU University Council, Jochen Kuhn will play an active role in shaping the discourse on addressing the social challenges of our time. To succeed in this endeavour, interdisciplinarity, combined with specialist expertise in key areas such as digitalization and artificial intelligence, is essential.

Jochen Kuhn has served as the Chair of Physics Education at LMU’s Faculty of Physics since 2022, and he is working in AI in Education within relAI. This election will accelerate the advancement of this area.

For more Information, click this link.

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We are proud to share that relAI PhD student Yusuf Sale has been honored with one of the IJAR Young Researcher Awards. The prestigious prize, funded by the International Journal of Approximate Reasoning (IJAR), recognizes students who demonstrate excellence in research at an early stage of their scientific careers.  

Yusuf received the award at ISIPTA 25, the 14th International Symposium on Imprecise Probabilities: Theories and Applications, organized by ISIPTA, the leading international forum for theories and applications of imprecise probabilities.   

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We are thrilled to announce that the paper The Value of Prediction in Identifying the Worst-Off co-authored by relAI PhD student Unai Fischer Abaigar, relAI Fellow Christoph Kern, and Juan Carlos Perdomo, from Harvard University, has been selected for an Outstanding Paper Award at ICML 2025, one of the top-tier conferences in the field of machine learning and artificial intelligence.     

This is an exceptional outcome, considering that only six papers have received this recognition out of more than 12000 submitted this year.

relAI has been instrumental in fostering the collaboration that led to this significant outcome by funding Unai Fisher Abaigar's research stay at Harvard University. Visits to international centres are one of the components of the relAI PhD curriculum, designed to support collaborations with international researchers and gain international research experience on the topic of the reliability of artificial intelligence (AI).  

The paper tackles aspects of the Algorithmic Decision-Making relAI research area and the relAI central theme Responsibility, exploring how predictive models, particularly those using machine learning, can be used in government programs to identify and support the most vulnerable individuals.

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On 1 July 2025, relAI fellow Claudia Eckert will assume the office of Scientific President of acatech - National Academy of Science and Engineering. She was unanimously elected by the acatech Executive Board.

acatech, founded in 2002 and established as the German Academy of Science and Engineering in 2008, represents the interests of German technical sciences independently, in self-determination and guided by the common good, at home and abroad. acatech is organized as a working academy that advises politicians and the public on forward-looking issues concerning the technical sciences and technology politics.

This is a significant recognition of Professor Eckert's leadership and expertise in the field.

For more information, please see the following links:

We are proud to announce that the European Research Council (ERC) has awarded an Advanced Grant to relAI Fellow Albrecht Schmidt for the project titled “AI Twins of Human Experience: Towards Personal Generative AI Systems for Amplifying Human Cognition.”

ERC Advanced Grants are highly prestigious, providing support to established and leading principal investigators who are pursuing groundbreaking and high-risk projects. This newly funded project aims to establish a scientific foundation for creating AI twins of human experiences. The goal is to store and process these experiences in a way that seamlessly enhances human cognitive and creative abilities. This initiative has the potential to transform the use of personal data, fostering cognitive augmentation and social connectivity through AI.

Find more information about this exciting project via the links below:

https://www.lmu.de/en/newsroom/news-overview/news/two-erc-advanced-grants-for-lmu-researchers-2.html

https://erc.europa.eu/news-events/news/advanced-grants-2024-examples-projects#AItwin

🥂Congratulations!

relAI Fellow Björn Ommer has been awarded the 2024 Eduard Rhein Award Technology Prize. The award ceremony took place on 24 May 2025 at the Flugwerft Schleißheim.

The Eduard Rhein Foundation has honoured Björn Ommer and his team, a group of pioneers in the field of artificial intelligence. Through open and efficient model architectures, the group has democratized access to generative AI. Their approach demonstrates the potential of generative AI not only for images, but also for other modalities such as audio and text, thus laying the foundation for a wide range of applications – from media production, where realistic or creative content is created for presentations, to prototyping in automotive design, to synthetic data to support diagnostics in medical research.

Follow this link to read the complete article.

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We are proud to announce that our relAI Director Gitta Kutyniok has been invited to become a member of the US National Academy of Artificial Intelligence (NAAI). NAAI is committed to advancing artificial intelligence by fostering collaboration among leading experts and promoting innovative research and development.

The election acknowledges Gitta Kutyniok's distinguished contributions to applied harmonic analysis, compressed sensing, and artificial intelligence. This honor recognizes her leadership as the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at Ludwig-Maximilians-Universität München (LMU Munich), which has significantly advanced research and collaboration in these fields. Additionally, NAAI greatly appreciated her recognition as a SIAM Fellow in 2019 and an IEEE Fellow in 2024, which highlights her outstanding accomplishments and the high regard in which she is held by her peers. 

We are proud to announce that relAI Fellow Prof. Solveig Vieluf won the 2024 Young Investigator Award of the American Epilepsy Society (AES). Her abstract, titled “Seizure Monitoring with Combined Diary and Wearable Data - a Multicenter, Longitudinal, Observational Study”, was selected from over 1,500 submissions for this honor.  This award recognizes 20 young investigators conducting basic, translational, or clinical epilepsy research.

She presented her work at the AES Annual Meeting in early December 2024.

Congratulations!

Congratulations!

The recent work of relAI PhD student Lukas Gosch has won the Best Paper Award at the 3rd AdvML-Frontiers workshop at the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024). The workshop and paper presentation took place at the Vancouver Convention Center in Canada on December 14th, 2024.

Lukas is a PhD student at relAI, advised by the relAI Co-Director Prof. Dr. Stephan Günnemann. His research focuses on robust and reliable machine learning, as well as machine learning on graphs.

The award-winning paper „Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks“, that Lukas authored together with Mahalakshmi Sabanayagam and relAI Fellows Debarghya Ghoshdastidar and Stephan Günnemann, develops the first architecture-aware certification technique for common neural networks against poisoning and backdoor attacks.

Explore this outstanding paper here.

Our sincerest congratulations to Lukas and his co-authors on this achievement!

relAI is proud to announce that relAI fellow Prof. Daniel Rückert has been awarded the Gottfried Wilhelm Leibniz Prize 2025. This prestigious award, regarded as the most important German research prize, is endowed with 2.5 million euros by the German Research Foundation (DFG).

The professor of Artificial Intelligence (AI) in Medicine and Healthcare at the Technical University of Munich (TUM) has been honored for his research on AI-assisted medical imaging. He has developed pioneering methods with which AI algorithms can generate particularly informative images from computer tomography or magnetic resonance imaging, analyze them, and interpret them for improved medical diagnostics.

At relAI, he focuses on the safe and privacy aspects of the Medicine & Healthcare research area. His research encompasses several key topics, including reliable machine learning for medical imaging and sensing, privacy-preserving AI, trustworthy medical foundation models, and safe and responsible clinical AI. As a member of the relAI Steering Committee, he represents the Medicine & Healthcare area, playing a crucial role in shaping the organization's goals and future directions of the school.  

Congratulations!

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