Dr. LI Man Ho, Tim
Assistant Professor (Non-clinical)
PhD (HKU)

 

Fax: (852) 2647-5321

Email: manholi@cuhk.edu.hk

ORCID: 0000-0002-6328-0105

Google Scholar: vw2vQFQAAAAJ

RESEARCH INTERESTS:
  • Artificial intelligence and digital mental health
  • Natural language processing for mental health
  • Technology, electronics, and mental health
  • Social withdrawal and psychological well-being
AWARDS:
  • INFORMS ISS Design Science Award 2020
CURRENT PROJECTS:
  1. Multimodal digital speech analysis for detection of depressive symptomatology in youth (Funded by Health and Medical Research Fund, Health Bureau. Capacity: PI. Project period: 2024-2027)
  2. Passive sensing and detection of mood features using affective computing technology (Funded by IdeaBooster Fund, CUHK. Capacity: PI. Project period: 2024-2025)
  3. Utilizing generative artificial intelligence (AI), deep learning, and prompt engineering for the development of digital depression assessment (Funded by Direct Grant for Research, CUHK. Capacity: PI. Project period: 2024-2025)
  4. An intelligent coaching system for insomnia: Towards the next-generation digital intervention (Funded by Innovation and Technology Support Programme, Innovation and Technology Commission. Capacity: PI. Project period: 2024-2025)
  5. Efficacy of digital cognitive behavioral therapy for insomnia (CBT-I) with artificial intelligence chatbot for youth with insomnia: An assessor-blind, randomized controlled trial (Funded by General Research Fund, Research Grants Council. Capacity: PI. Project period: 2024-2026)
  6. Development of automated speech-based suicidal ideation detection with artificial intelligence techniques (Funded by Direct Grant for Research, CUHK. Capacity: PI. Project period: 2023-2024)
  7. Identifying suicide risk using natural language processing and machine learning of clinical interviews of depression(Funded by Direct Grant for Research, CUHK. Capacity: PI. Project period: 2022-2023)
  8. An artificial intelligence chatbot for sleep education (Funded by Knowledge Transfer Project Fund, CUHK. Capacity: PI. Project period: 2022-2024)
SELECTED PUBLICATIONS:
  1. Chen, J., Chan, N. Y., Li, C. T., Chan, J. W. Y., Liu, Y., Li, S. X., Chau, S. W. H., Leung, K. S., Heng, P.-A., Lee, T. M. C., Li, T. M. H., & Wing, Y. K. (2024). Multimodal digital assessment of depression with actigraphy and app in Hong Kong Chinese. Translational Psychiatry, 14, 150.
  2. Huang, R., Yi, S., Chen, J., Chan, K. Y., Chan, J. W. Y., Chan, N. Y., Li, S. X., Wing, Y. K., & Li, T. M. H. (2024). Exploring the role of first-person singular pronouns in detecting suicidal ideation: A machine learning analysis of clinical transcripts. Behavioral Sciences, 14(3), 225.
  3. Yu, D. J., Wing, Y. K., Li, T. M. H. , Chan, N. Y. (2024). The impact of social media use on sleep and mental health in youth: A scoping review. Current Psychiatry Reports, 26(3), 104-119.
  4. Li, T. M. H., Chen, J., Law, F. O. C., Li, C. T., Chan, N. Y., Chan, J. W. Y., Chau, S. W. H., Liu, Y., Li, S. X., Zhang, J., Leung, K. S., & Wing, Y. K. (2023). Detection of suicidal ideation in clinical interviews for depression using natural language processing and machine learning: Cross-sectional study. JMIR Medical Informatics, 11, e50221.
  5. Li, T. M. H., Chan, N. Y., Li, C. T., Chen, J., Chan, J. W., Liu, Y., Li, S. X., Li, A. M., Zhang, J., & Wing, Y. K. (2022). The associations of electronic media use with sleep and circadian problems, social, emotional and behavioral difficulties in adolescents. Frontiers in Psychiatry, 13, 892583.
  6. Chau, M., Li, T. M. H., Wong, P. W. C., Xu, J., Yip, P. S. F., & Chen, H. (2020). Finding people with emotional distress in online social media: A design combining machine learning and rule-based classification. Management Information Systems Quarterly, 44(2), 933-955.
  7. Cheng, Q., Li, T. M. H., Kwok, C. L., Zhu, T., & Yip, P. S. F. (2017). Assessing suicide risk and emotional distress in Chinese social media: A text mining and machine learning study. Journal of Medical Internet Research, 19(7), e243.
  8. Li, T. M. H., & Wong, P. W. C. (2015). Youth social withdrawal behavior (hikikomori): A systematic review of qualitative and quantitative studies. Australian and New Zealand Journal of Psychiatry, 49(7), 595-609.
  9. Li, T. M. H., Chau, M., Yip, P. S. F., & Wong, P. W. C. (2014). Temporal and computerized psycholinguistic analysis of the blog of a Chinese adolescent suicide. Crisis: The Journal of Crisis Intervention and Suicide Prevention, 35(3), 168-175.
  10. Li, T. M. H., Chau, M., Wong, P. W. C., Lai, E. S. Y., & Yip, P. S. F. (2013). Evaluation of a web-based social network electronic game in enhancing mental health literacy for young people. Journal of Medical Internet Research, 15(5), e80.