Current Projects

  • Project Name: Explainable Deep Learning for Longitudinal Biomedical Signal Analysis and Healthcare Application. (Grant Number: S24116)
  • Supporter: Invitational Fellowships for Research, Japan Society for the Promotion of Science (JSPS), Japan (Acceptance Rate: 23.3%)
  • Run Time: 01.10.2024 – 31.03.2025.
  • Role: Author of Proposal, Principal Investigator, Grant Holder.
  • Partners: The University of Tokyo.
  • Project Name: Research on Multi-model Quantitative Model for Dynamic Real-time Monitoring of Depressive Emotion. (Grant Number: L243034)
  • Supporter: Beijing Natural Science Foundation, Beijing, China
  • Run Time: 01.07.2024 – 30.06.2027.
  • Role: Principal Investigator.
  • Partners: Peking University Sixth Hospital.
  • Abstract: By exploring the connection mechanism between the human multi-modal physiological signal and depression of the human body collected by wearable devices, build an interpreted depression and early warning model, and combine the effectiveness and accuracy of the clinical guarantee model, for daily dynamic dynamics Real-time monitoring depression provides new ideas and methods.
  • Project Name: The Research on Multi-modal Open Identification and Accurate Diagnosis Technology for Complex Symptoms for Mental Disorders and Psychiatric Diseases. (Grant Number: 2023YFC2506804)
  • Supporter: Minstry of Science and Technology of the People’s Republic of China, China
  • Run Time: 01.11.2023 – 31.10.2026.
  • Role: Principal Investigator.
  • Abstract: This research will explore the state-of-the-art artificial intelligence (AI) enpowered and methods and technologies for accuractely diagnosis of mental disorders and psychiatric diseases in a condition of open identification, i.e., the real-world application scenario.
  • Project Name: The Research on Quantitative Models of Sleep Disorders based on Body Sound Sensing. (Grant Number: 62272044)
  • Supporter: National Natural Science Foundation of China, China (Acceptance Rate: 17.56%)
  • Run Time: 01.01.2023 – 31.12.2026.
  • Role: Principal Investigator.
  • Abstract: This research will provide new ideas and methods for developing the non/less sleep monitoring approaches.
  • Project Name: New Technologies for Diagnosis and Therapy of Sleep Disorders via Novel Physical Features. (Grant Number: 2021ZD0201901)
  • Supporter: Ministry of Science and Technology of the People’s Republic of China, China
  • Run Time: 01.12.2021 – 30.11.2026.
  • Role: Principal Investigator.
  • Partners: Sichuan University, China.
  • Abstract: The purpose of this study is to explore audio-based paradigms and/or methods for diagnosis and therapy of sleep disorders. This project is a sub project in Science and Technology Innovation 2030 -“Brain Science and Brain-like Research” supported by the Ministry of Science and Technology of the People’s Republic of China.
  • Supporter: Beijing Instititute of Technology, China
  • Run Time: 31.08.2021 – 31.12.2027.
  • Role: Principal Investigator.
  • Partners: Imperial College London, The University of Tokyo, and Lanzhou University.
  • Abstract: The purpose of this study is to use audio as a novel digital phenotype to evaluate the subject’s psychophysiological status via quantitative methods and techniques.