Organisers

Michal Muszynski is a senior postdoctoral research associate at the University of Geneva, Switzerland. He was a postdoctoral research associate at Carnegie Mellon University, the United States and at the University of Geneva, Switzerland. He carries out interdisciplinary research at the intersection of computer science, neuroscience, medicine, and psychology. He received his Ph.D. in Computer Science from the University of Geneva in 2018. His research interests are in the areas of affective computing, affective neuroscience, multimodal machine learning, pattern recognition, signal processing, and big data.

Edgar Roman-Rangel is an Associate Professor at the Instituto Tecnologico Autonomo de México, ITAM, in Mexico. He conducts research in Representation Learning and Computer Vision focussing on projects with social impact, and on the analysis of archaeological records in different formats. He obtained his Ph.D. in Electrical Engineering from the École Polytechnique Fédérale de Lausanne, EPFL, Switzerland in 2013, and from 2013 through 2017, he was a postdoctoral researcher at University of Geneva, Switzerland. Edgar Roman-Rangel is an associate professor at the Instituto Tecnologico Autonomo de México, ITAM, in Mexico. He conducts research in Representation Learning and Computer Vision focussing on projects with social impact, and on the analysis of archaeological records in different formats. He obtained his Ph.D. in Electrical Engineering from the École Polytechnique Fédérale de Lausanne, EPFL, Switzerland in 2013, and from 2013 through 2017, he was a postdoctoral researcher at University of Geneva, Switzerland.

Leimin Tian is a post-doctoral research fellow at the Human-Robot Interaction group of School of Engineering and the Human-Centered AI group of Faculty of IT at Monash University. Her research focuses on Affective Computing and human-robot interaction, in particular, combining human knowledge on emotions and the power of computational models to realize affective human-robot interaction. Leimin received her PhD in Informatics in 2018 from the Institute of Language, Cognition and Computation, School of Informatics, the University of Edinburgh, where she also received her MSc in 2013. Leimin received her B.Eng in 2012 from Beijing University of Posts and Telecommunications.

Theodoros Kostoulas is an Associate Professor at the Department of Information and Communication Systems Engineering, University of the Aegean. Before that he was Senior Lecturer in the Faculty of Science and Technology at Bournemouth University, U.K. Even before that he was Postdoctoral Researcher and Lecturer at the Computer Vision and Multimedia Laboratory & Swiss Center for Affective Sciences at University of Geneva, Switzerland. He has been active in the realization of research projects, managing research and development tasks (within more than 10 national and international research and research and innovation projects). A significant amount of those projects were/are multidisciplinary, bringing together expertise from art experts, psychology experts, as well as end-users.

Theodora Chaspari is an Assistant Professor at the Computer Science & Engineering Department in Texas A&M University. She has received the diploma (2010) in Electrical and Computer Engineering from the National Technical University of Athens, Greece and the Master of Science (2012) and Ph.D. (2017) in Electrical Engineering from the University of Southern California. Her research interests lie in the areas of affective computing, human-computer interaction, data science, and machine learning. She has held primary organization roles in several workshops and conferences.

Panos Amelidis is currently a Lecturer in Music and Audio Technology at Bournemouth University, UK. He received the Ph.D. degree from the Music Technology and Innovation Research Centre, De Montfort University, UK. His research focuses on music, and sound-art as a vehicle for cultural heritage awareness, construction of narrative in music, analysis of audio-only games and virtual reality systems for music education.