
Dr. LI Man Ho, Tim
Assistant Professor (Non-clinical)
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:
- 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)
- Passive sensing and detection of mood features using affective computing technology (Funded by IdeaBooster Fund, CUHK. Capacity: PI. Project period: 2024-2025)
- 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)
- 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)
- 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)
- 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)
- 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)
- An artificial intelligence chatbot for sleep education (Funded by Knowledge Transfer Project Fund, CUHK. Capacity: PI. Project period: 2022-2024)
SELECTED PUBLICATIONS:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.