School of Information
University of South Florida
4202 E. Fowler Ave., CIS 1040
Tampa, FL, 33620
honghuang[at]usf[dot]edu
Education
Ph.D.in Information, Florida State University, Tallahassee, FL
M.S.in Computer Science, Florida State University , Tallahassee, FL
M.S.in Plant Genetics, Florida A&M University , Tallahassee, FL
B.S.in Biochemistry, Zhongshan (Sun Yetsen) University , Guangzhou , China
Professional Summary
Dr. Hong Huang is an Associate Professor in the School of Information at University of South Florida. He received a B.S. degree in Biochemistry, both M.S. degrees in Genetics and Computer Science, and a Ph.D. in Information from the Florida State University. His research and teaching areas encapsulate three related disciplines- information and library science, bioinformatics, and information & learning technology. With his extensive LIS, bioinformatics backgrounds and work experiences, he bridges these disciplines in various ways. His research interests included data management, AI/ML data practice and sharing, IT in library and education, as well as bio/health information, learning and edutainment.He has published 140 peer review publications and conference presentations. He is the PIs or Co-PIs with collaborative and federal grant awards (e.g., USDA) in data management & practice, and IT in learning science. He has served as the Associated Editor for Journal of Information and Learning Sciences (Emerald), the Editorial Board Member for Library & Information Science Research (Elsevier).
Areas of Interest
Socio-cultural, curation issues for data management and practice; IT in education & library science; Health/Bio Information; Data, AI, and Machine learning applications
[ Curriculum Vitae for Publication (2023) ]
Current Publications Huang H., Yu H., Li W. (2024). Assessing the importance of content versus design for successful crowdfunding of health education games: online survey study. JMIR Serious Game, (DOI:10.2196/39587).[Paper] Rathke, B. Han Y. Huang H. (2023). What remains now that the fear has passed: Developmental Trajectory Analysis of COVID-19 Pandemic for co-occurrences of Twitter, Google Trends, and Public Health Data.Disaster Medicine and Public Health Preparedness, (DOI:10.1017/dmp.2023.101). [Paper] Huang H., Qin J. (2023). Metadata functional requirements for genomic data practice and curation. (In press) Information Research. [Paper] Oduro M., Yu H., Huang H. (2022). Entrepreneurship success: predicting crowdfunding campaigns using model-based machine learning methods. International Journal of Crowd Science, (DOI:10.26599/IJCS.2022.9100003). [Paper] Huang H., Li Y. (2021). Exploring the motivation of livestreamed users in learning computer programming and coding. The Electronic Journal of e-Learning, (DOI:10.34190/ejel.19.5.2470).[Paper]