Dr.-Ing. Zhao Ren is a Research Associate advised by Prof. Tanja Schultz at the Cognitive Systems Lab, University of Bremen, Germany. Before this, she worked as a Research Associate supervised by Prof. Wolfgang Nejdl in L3S Research Center, Leibniz Universität Hannover, Germany. She received her doctoral degree supervised by Prof. Björn W. Schuller in the Embedded Intelligence for Health Care and Wellbeing (EIHW), University of Augsburg, Germany, in 2022. She received her bachelor’s and master’s degrees in Computer Science and Technology from the Northwestern Polytechnical University (NPU), China, in 2013 and 2017, respectively.

Her research interests mainly lie in transfer learning, explainable AI, adversarial attacks, and other deep learning techniques for the computer audition applications in healthcare and wellbeing. She has (co-)authored 40+ publications in peer-reviewed book chapters, journals, and conference proceedings, which have received 1,500+ citations (h-index 19).

She regularly reviews many journals, such as IEEE Transactions on Cybernetics, IEEE Transactions on Affective Computing, and IEEE Transactions on Multimedia, and conferences, like ICASSP, IJCNN, and EUSIPCO.

News

12/2023: Call for paper: Audio-Inspired Methods for Healthcare, Cyborg and Bionic Systems, Submission Deadline: June 30, 2024.

12/2023: Congratulations! We have a paper accepted by the M3Oriental Workshop at ACM Multimedia Asia 2023!

07/2023: Call for papers: Workshop of Multimodal, Multilingual and Multitask Modeling Technologies for Oriental Languages (M3Oriental), in ACM Multimedia Asia 2023.

07/2023: Congratulations! We have two papers accepted by ITG 2023!

07/2023: Call for papers: Advances in Computer Audition for Mental Health Applications, co-organised in Frontiers in Digital Health, Frontiers in Psychiatry.

04/2023: Call for papers: Intelligent Audition Technologies for Personalized Healthcare, co-organised in Frontiers in Computer Science, Frontiers in Big Data, and Frontiers in Artificial Intelligence.

04/2023: Congratulations! We have two papers accepted by IJCNN 2023!

02/2023: Congratulations! We have three papers accepted by ICASSP 2023!

02/2023: Welcome to vote! AI-Newcomer 2023 organised by GI and BMBF.

12/2022: I am invited to give a talk in the Intelligent Sensing Winter School at the Centre for Intelligent Sensing, Queen Mary University of London, United Kingdom, virtual, 12.12.2022.

2022: Call for papers: Special issue of “Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things” on the IEEE Journal of Biomedical and Health Informatics.