Biography
Haomin “Leon” Hu is a PhD candidate in rehabilitation science, mentored by Professor Bambang Parmanto in the Department of Health Information Management. Hu’s research focuses on technology-enabled health solutions, including digital health, healthcare Internet of Things (IoT) and large language models to support individuals with chronic diseases and their family caregivers.
Hu has a multi-disciplinary background in computer science, electronic engineering, information science and rehabilitation science. Hu’s academic training has given him the knowledge to take advantage of technology in the health care field. Hu’s dissertation research is to develop a multi-component mHealth app to provide ongoing support for family caregivers of individuals with spinal cord injury and cancer survivors. Meanwhile, Hu has been working on several technology-enabled interventions to help populations across various diseases, including 1) individuals with Raynaud symptoms, 2) postpartum women with overweight/obesity, and 3) children with anxiety and Down syndrome. The developer internship in the HARI lab in 2018 motivated him to research this interdisciplinary field. The one-year job inspired him to believe that health care could be one of the prior fields where technologies could be in practice.
Education
- Master of Science in Information Science, University of Pittsburgh
Research Interests
- Digital Health (mHealth, Telehealth), Healthcare Internet of Things
- Generative AI
- Technology-enabled interventions for people with chronic conditions and their family caregivers
Publications
- Hu, H., Ambadar, Z., Quinby, E., Choi, Y. K., Setiawan, I. M. A., Saptono, A., … & Dicianno, B. E. (2023). The iMHere 2.0 System for Family Caregivers of Older Adults: A Focus Group. International Journal of Telerehabilitation, 15(1).
- Conlon, R. P. K., Hu, H., Saptono, A., Hawkins, M. S., Parmanto, B., Levine, M. D., & Buysse, D. J. (2023). Formative Development of ClockWork for the Postpartum Period: A Theory-Based Intervention to Harness the Circadian Timing System to Address Cardiometabolic Health-Related Behaviors. International Journal of Environmental Research and Public Health, 20(4), 3669.
- Parmanto, B., Aryoyudanta, B., Soekinto, W., Setiawan, I., Wang, Y., Hu, H., … & Choi, Y. K. (2024). Development of a Reliable and Accessible Caregiving Language Model (CaLM). arXiv preprint arXiv:2403.06857.
