Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor in Machine Intelligence and Signal Processing all in EE/IT from TUM in Munich/Germany. He is Full Professor of Artificial Intelligence and the Head of GLAM at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING – an Audio Intelligence company based near Munich and in Berlin/Germany, Guest Professor at Southeast University in Nanjing/China and permanent Visiting Professor at HIT/China amongst other Professorships and Affiliations. Previous stays include Full Professor at the University of Passau/Germany, and Researcher at Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE and Golden Core Awardee of the IEEE Computer Society, Fellow of the BCS, Fellow of the ISCA, President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 1,000+ publications (35k+ citations, h-index=86), is Field Chief Editor of Frontiers in Digital Health and was Editor in Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community. His 30+ awards include having been honoured as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015. He served as Coordinator/PI in 15+ European Projects, is an ERC Starting and DFG Reinhart-Koselleck Grantee, and consultant of companies such as Barclays, GN, Huawei, or Samsung.
Current Calls
- Frontiers in Digital Health
- IEEE Journal on Selected Topics in Signal Processing Special Issue on Signal Analysis for Detection and Monitoring of Contagious Diseases
- IEEE Transactions on Network Science and Engineering Special Issue on Efficient Network Design for Convergence of Deep Learning and Edge Computing
- Frontiers in Machine Learning and AI/Frontiers in Big Data Special Issue on Ethical Machine Learning and Artificial Intelligence (AI)
- Frontiers in ICT/Frontiers in Psychology Special Issue on Human-Inspired Deep Learning for Automatic Emotion Recognition
- W3C Linked Data Models for Emotion and Sentiment Analysis Community Group