Björn Schuller

Prof. Björn Schuller is a Full Professor of Health Informatics at the Technical University of Munich (TUM) and holds a joint appointment at Imperial College London as Professor of Artificial Intelligence. He leads the Chair of Informatics in Healthcare at TUM and heads the Group on Language, Audio & Music (GLAM) at Imperial. His research focuses on the intersection of computer science and medicine, particularly in biosignal analysis, affective computing, and AI-driven healthcare solutions. Schuller has held academic positions at multiple institutions, including the Universities of Augsburg and Passau, and serves as a key figure in global AI and health research communities.

Education: Received diploma (1999), doctorate (2006), and habilitation (2012) in electrical engineering/IT from TUM. He is a Fellow of IEEE, ISCA, ACM, and ELLIS, among others. Awards include the World Economic Forum Young Scientist (2015), ERC Starting Grant (2013), and IEEE Signal Processing Society Distinguished Lecturer (2024).

Research interests span machine learning applications in healthcare, emotion recognition, and AI ethics. He has authored over 1,500 publications and secured >€15M in research funding, including ERC grants and Horizon 2020 projects. His company, audEERING GmbH, commercializes intelligent audio engineering technologies.

Leadership roles include Editor-in-Chief of AI Open Journal and Field Chief Editor of Frontiers in Digital Health. He actively chairs international conferences (e.g., ACII 2025) and drives initiatives like the MPDD Challenge for depression detection.