Shahin Amiriparian received his Doctoral degree with the highest honors (summa cum laude) at the Technical University of Munich, Germany in 2019. Currently, he is a habilitation candidate at the Chair of EIHW at UAU, Germany. He is an Associate Editor on IEEE Transactions on Affective Computing, and his main research focus is representation learning and transfer learning for computer audition and affective computing. He (co-)authored more than 60 publications in peer-reviewed books, journals, and conference proceedings leading (h-index: 19), and is involved in various international conferences as program chair, and workshop organizer.

Lukas Christ is currently a PhD Candidate/Research Assistant at the Chair of EIHW at the University of Augsburg, Germany. His main research interests lie in emotion recognition and sentiment analysis, utilizing Natural Language Processing as well as multimodal approaches. He was a data chair of MuSe 2021.

Dr. Alan Cowen is an applied mathematician and computational emotion scientist developing new data-driven methods to study human experience and expression. He was previously a researcher at the University of California and visiting scientist at Google, where he helped establish affective computing research efforts. His discoveries have been featured in top journals such as Nature, PNAS, Science Advances, and Nature Human Behavior (i10-index: 16) and covered in press outlets ranging from CNN to Scientific American. His research applies new computational tools to address how emotional behaviors can be evoked, conceptualized, predicted, and annotated, how they influence our social interactions, and how they bring meaning to our everyday lives.

Andreas König is Chaired Professor of Strategic Management, Innovation, and Entrepreneurship at the University of Passau, Germany. He  studies strategic leadership, with a specific focus on the impact of top executives' psychological characteristics on organizational outcomes and the effects of executives’ use of verbal communication on constituents’ evaluations of organizations. His research has appeared in outlets such as Administrative Science Quarterly, Academy of Management Review, and Academy of Management Journal, and he has received numerous awards, including from the Strategic Management Division of the Academy of Management, the Strategic Management Society, 2018, and the European Academy of Management. He is a member of the Editorial Board of the Academy of Management Review and Representative-at-Large at the Strategic Leadership and Governance Interest Group of the Strategic Management Society.

Eva-Maria Messner, studied Psychology at the Universities Vienna, Graz and Otago. She is an upcoming postdoctoral clinical and health psychologist (2011) as well as registered systemic psychotherapist (2018). She works at the Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, at the University of Ulm/Germany since 2016. She wrote her PhD thesis on the psychopathology of stress and coping including 34 publications with around 350 citations. Her main research interests are mobile mental health, passive sensing as well as language and speech in psychotherapy.

Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at Nanyang Technological University (NTU), where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore) and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. His research focuses on the ensemble application of symbolic and subsymbolic AI to natural language processing tasks such as sentiment analysis, dialogue systems, and financial forecasting. Erik is recipient of many awards, e.g., the 2019 "IEEE Outstanding Early Career Award", he was listed among the 2018 "AI's 10 to Watch", and was featured in Forbes as one of the "5 People Building Our AI Future".

Björn W. Schuller is Professor of Artificial Intelligence at the Imperial College London, UK, where he heads GLAM - the Group on Language, Audio, and Music, Professor at UAU, Germany, and HIT, China, and founding CEO and current CSO of audEERING, Germany known for audio-based sentiment and emotion analysis. Prof. Schuller (co-)authored more than 1,000 publications leading to >43,000 citations (h-index: 93). He is Field Chief Editor of the Frontiers in Digital Health, was Editor in Chief of the IEEE Transactions on Affective Computing, and served as General Chair for ACII 2019, ACII Asia 2018, and ICMI 2014, Program Chair of Interspeech 2019, ACM ICMI 2019, 2013, ACII 2015, 2011, and IEEE SocialCom 2012, and initiated and co-organised >30 international challenges, including the annual INTERSPEECH ComParE challenge series since 2009, and the annual Audio/Visual Emotion Challenge and Workshop (AVEC) series since 2011. He is President-Emeritus of the AAAC, Fellow of the IEEE, Fellow of the ISCA, Fellow of the BCS, and Senior Member of the ACM.