MuSe Organizers

Björn W. Schuller

Imperial College London/ audEERING, UK, schuller@ieee.org

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 900 publications leading to >28,000 citations (h-index: 79). 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 26 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, and Senior Member of the ACM.

Iulia Lefter

TU Delft, NL, i.lefter@tudelft.nl

Iulia Lefter is Assistant Professor at Delft University of Technology, the Netherlands. She obtained her PhD from TU Delft working on multimodal information fusion in the context of automatic surveillance, in a project involving TNO and the Netherlands Defence Academy. She was granted a TNO Excellence Launch scholarship for her MSc studies (TUDelft, with honours), which focused on speech emotion recognition. Her work focuses on understanding and automatically recognizing human states (e.g. emotional states, stress or engagement level), as well as characteristics of the interaction between humans (e.g. social cues) or between humans and systems they are employing. Using such knowledge, she is interested in designing systems that can better serve humans and doing so in a responsible way.

Erik Cambria

Nanyang Technological University/ SenticNet, SG, cambria@ntu.edu.sg

Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at Nanyang Technological University, where he teaches and researches about AI and NLP. Prior to joining NTU, he worked at Microsoft Research Asia and HP Labs India and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. Erik is recipient of many awards, e.g., the 2018 AI’s 10 to Watch and the 2019 IEEE Outstanding Early Career award, and is often featured in the news, e.g., Forbes. He is Associate Editor of several journals, e.g., NEUCOM, INFFUS, KBS, IEEE CIM and IEEE Intelligent Systems (where he manages the Department of Affective Computing and Sentiment Analysis), and is involved in many international conferences as program chair, PC member, workshop organizer, and invited speaker. His publications received >13,000 citations (h-Index: 66).

Ioannis (Yiannis) Kompatsiaris

Centre for Research and Technology Hellas, GR, ikom@iti.gr

Dr. Ioannis (Yiannis) Kompatsiaris is a Researcher Director at CERTH-ITI, Greece, the Head of the Multimedia Knowledge and Social Media Analytics Laboratory, and Deputy Director of the Institute. His research interests include multimedia, big data, and social media analytics, semantics, human computer interfaces (AR and BCI), eHealth, security, and culture applications. He is co-author of 129 papers in refereed journals, 46 book chapters, 8 patents and more than 420 papers in international conferences (>10,000 citations, h-Index: 46). Since 2001, Dr. Kompatsiaris has participated in 59 National and European research programs including direct collaboration with industry, in 15 of which he has been the Project Coordinator and in 41 the Principal Investigator. He has served in key organizational roles in international conferences, being general chair of MMM 2019 and ACM MM Program Chair in 2016, as associate and guest editor in journals including IEEE TIP.

Lukas Stappen

University of Augsburg, GER, stappen@ieee.org

Lukas Stappen received his M.Sc. with distinction from King's College London, UK, in 2017 and joined Prof. Richard Dobson’s group for Machine Learning in Health Informatics at the Institute of Psychiatry, Psychology & Neuroscience as a research assistant. Currently, he is a research scientist at the Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Germany. His research interests are affective computing, multimodal sentiment analysis, linguistic and multimodal/cross-modal representation learning. Further interests are denoising in-the-wild signals and machine learning in the healthcare-related domains, such as, depression, narcissism and hate speech. He was a program committee member at the 4th (IJCAI 2019) and 5th (ECAI 2020) International Workshop on Knowledge Discovery in Healthcare Data and received several student academic excellence scholarships as well as the best paper award of the IEEE MMSP 2020. More