Data Chair

A workshop in conjunction with ACM Multimedia 2023

Alice Baird

Hume AI, USA, alice [at]

Alice Baird is an audio researcher with interdisciplinary expertise in machine learning, computational paralinguistics, stress, and emotional well-being. She earned her Ph.D. at the University of Augsburg, where she was supervised by Dr. Björn Schuller. Her work on emotion understanding from auditory, physiological, and multimodal data has been published extensively in the leading journals and conferences in her field, including Interspeech, ICASSP, IEEE Intelligent Systems, and the IEEE Journal of Biomedical and Health Informatics.

Alexander Kathan

University of Augsburg, GER, alexander.kathan [at]

Alexander Kathan received his M.Sc. degree in Business Analytics from the University of Ulm, Germany, in 2021. Currently, he is pursuing his Ph.D. degree with the Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, Germany. His research interests include deep learning and machine learning methods for audio and multimodal signal processing in healthcare applications, as well as personalised machine learning approaches.