Jing Han is a postdoctoral researcher at the Department of Computer Science and Technology at the University of Cambridge, UK, advised by Prof. Cecilia Mascolo. She received her doctoral degree from Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany, in 2020, supervised by Prof. Björn W. Schuller. Prior to that, she received her master degree from Nanyang Technological University, Singapore, in 2014, and her bachelor degree in electronic and information engineering from Harbin Engineering University, China, in 2011.
Her research interests are related to deep learning for health care and multimodal affective computing. To date, she has (co-)authored more than 50 publications [google scholar] in prestigious journals (e.g., IEEE SPM, IEEE T-AFFEC, IEEE T-PAMI, and IEEE CIM) and 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.