Zeynep Akata

Prof. Zeynep Akata is a distinguished professor of computer science at the Technical University of Munich (TUM) and director of the Institute for Explainable Machine Learning at Helmholtz Munich. Her research focuses on developing transparent AI systems that can interact reliably with humans, integrating methods from machine vision, natural language processing, and learning. She holds the Liesel Beckmann Distinguished Professorship and has held academic positions at institutions including the University of Tübingen, University of Amsterdam, and UC Berkeley.

Education: PhD from INRIA Rhone Alpes (2014), followed by postdoctoral research at the Max Planck Institute for Informatics and UC Berkeley. Career highlights include ERC Starting Grant (2019) and the European Computer Vision Young Researcher Award (2022).

Research interests span explainable AI, zero-shot learning, vision-language models, and mitigating biases in AI systems. Her work emphasizes ethical AI deployment and human-centered AI design.

Awards: Alfried Krupp Promotion Prize (2023), German Pattern Recognition Award (2021), and Werner von Siemens Ring Young Researcher Award (2019).

Her laboratory at TUM and Helmholtz Munich focuses on advancing interpretable machine learning frameworks, with projects addressing societal impacts and technical challenges in AI transparency.