relAI is proud to announce the addition of five exceptional fellows to the school. Enkelejda Kasneci (TUM), Gjergji Kasneci (TUM), Björn Ommer (LMU), Tom Sterkenburg (LMU), and Abdalla Swikir (TUM) have each made significant contributions to their respective fields and bring a wealth of knowledge and experience to our family.
The research topics of the new fellows tackle essential aspects of the field of reliable AI. Their work ranges from the study of human-computer interaction and semantic scene understanding to the study of fairness and inductive bias in machine learning as well as safe learning in robotics. Their engagement in the school's research and educational activities will contribute to the reliable application of AI in real-life scenarios, such as improving user experience in digital interfaces and enhancing the safety of autonomous systems.
Enkelejda Kasneci is a Distinguished Professor (“Liesel Beckmann Distinguished Professorship”) for Human-Centered Technologies for Learning at the TUM School of Social Sciences & Technology. Her research focuses on Human-Computer Interaction and developing AI systems that sense and infer the user’s cognitive state, expertise, actions, and intentions based on multimodal data.
Gjergji Kasneci holds the Chair for Responsible Data Science at TUM School of Computation, Information & Technology. His research focuses on transparency, robustness, bias, and fairness in machine learning algorithms, incorporating ethical, legal, and societal considerations.
Abdalla Swikir is a Senior Scientist and Teaching Coordinator at the TUM Munich Institute of Robotics and Machine Intelligence (MIRMI). His research in safe learning for robotic control and autonomous systems targets the enhancement of reliability and safety, ensuring these technologies can effectively function in dynamic and critical environments.
Björn Ommer is Head of the LMU Computer Vision & Learning Group. His research interests include semantic scene understanding and retrieval, generative AI and visual synthesis, explainable AI, and self-supervised metric and representation learning. Moreover, he is applying this basic research in interdisciplinary projects within neuroscience and the digital humanities.
Tom Sterkenburg is an Emmy Noether junior research group leader at the Munich Center for Mathematical Philosophy at LMU Munich. His Emmy Noether project, “From Bias to Knowledge: The Epistemology of Machine Learning", is concerned with clarifying the fundamental concept of inductive bias in machine learning.
