Current Projects

  • 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: 2021ZD0201900-2)
  • 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.
  • Project Name: Development and Clinical Application of Personalised IoT System to Control the Risk of Mental and Physical Disorders of Workers.
  • Supporter: Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan (Acceptance Rate: 24.3%).
  • Run Time: 01.04.2020 – 31.03.2023.
  • Role: Main Participant.
  • Partners: The University of Tokyo, Fujita Health University, Nagoya City University.
  • Abstract: The purpose of this study is to predict and control the risk of mental and physical disorders of workers by leveraging the power of artificial intelligence and IoT.