Jing Han received her master degree from Nanyang Technological University (NTU), Singapore, in 2014, and her bachelor degree in electronic and information engineering from Harbin Engineering University (HEU), China, in 2011.
Currently, she is a doctoral candidate (supervisor: Prof. Björn W. Schuller) with the Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, Germany, involved in two EU's Horizon 2020 projects SEWA and RADAR CNS, and one industrial project DeepGlass. Her research interests are related to deep learning for multimodal affective computing and health care. To date, she has (co-)authored more than 30 publications in prestigious journals (e.g., IEEE T-AFFEC, IEEE T-PAMI, and IEEE CIM) and important international conferences (e.g., ACM MM, IEEE ICASSP, ISCA INTERSPEECH) in relevant fields.
She reviews regularly for many prestigious journals (e.g., IEEE Transactions on Cybernetics, IEEE Transactions on Affective Computing, IEEE Transactions on Multimedia). Moreover, she co-chaired the 7th Audio/Visual Emotion Challenge (AVEC) and workshop in 2017, and served as a program committee member of AVEC challenge and workshop in 2018 and TPC member of ACM Multimedia in 2019 and 2020. She was awarded student travel grants from IEEE SPS and ISCA to attend ICASSP and INTERSPEECH in 2018.