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Ren Zhao

Project: Automatic detection and classification of pathological speech conditions based on emotion expression

Host Institution: University of Augsburg

Nationality: Chinese

Supervisors: Björn Schuller, Nicholas Cummins

Start Date: 01.04.2018

Email: zhao.ren@informatik.uni-augsburg.de

Short Biosketch

Zhao Ren received her bachelor and master degree in Computer Science and Technology from the Northwestern Polytechnical University (NWPU) in the P.R. China, in 2013 and 2017. Currently, she is a EU-researcher and working on her Ph. D. degree at the ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany, where she is involved with the H2020-MSCA-ITN-ETN project TAPAS, for health-related speech analysis. She regularly reviews IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Affective Computing, and IEEE Transactions on Multimedia.

Research Interests

Her research interests mainly lie in transfer learning, multi-task learning, and deep learning for the application in health care and wellbeing.

Publications

Her publications can be found in her Google Scholar account or Overleaf link.