Wojciech Samek

Prof. Dr. Wojciech Samek is a leading researcher in machine learning and artificial intelligence, currently serving as a professor in the Department of Electrical Engineering and Computer Science at Technical University of Berlin and Head of the AI Department at Fraunhofer Heinrich Hertz Institute (HHI) in Berlin, Germany. His work focuses on Explainable AI (XAI), Trustworthy Deep Learning, and Machine Learning for Communications.

Samek has made significant contributions to the development of methods for explaining and interpreting deep neural networks, particularly with the Layer-wise Relevance Propagation (LRP) technique. His research spans multiple domains including computer vision, natural language processing, medical applications, and 5G networks. He has developed various software toolboxes such as the Keras Explanation Toolbox, LRP Toolbox, TensorFlow LRP Wrapper, and Quantus Toolbox for explainable AI research.

• His work in Explainable AI has led to numerous publications on visualizing, explaining and interpreting deep learning models
• He has pioneered Distributed and Federated Learning techniques that reduce communication costs while maintaining model performance
• Samek has contributed to Medical AI applications including ECG, EEG, and neuroimaging data analysis
• He has developed Neural Network Compression methods applicable to mobile and embedded systems

Prof. Samek has received multiple best paper awards and has co-authored over 200 peer-reviewed publications. He is actively involved in standardization activities as part of the ISO/IEC MPEG-17 NNC working group and serves as a Fellow at BIFOLD and the ELLIS Unit Berlin. He has organized numerous tutorials and workshops on Explainable AI at major conferences including ICML, CVPR, ECML-PKDD and ICASSP.