Scholar
Ming Huang
Google Scholar ID: dQ_V34QAAAAJ
Associate Professor, UTHealth Houston
Citations & Impact
Citations
988
H-index
21
i10-index
33
Publications
20
Co-authors
7
list available
Resume
Academic Achievements
- Provides review and/or editorial services for federal institutions, prestigious journals, national and international conferences, and workshops such as NSF review panel, Lancet – Reg Health, JAMIA, JBI, AMIA, and ACL; Served as the guest associate editor for Frontiers in AI and Frontiers in Big Data, and the publication chair for IEEE ICHI.
Research Experience
- Associate Professor at the Center of Translational AI Excellence and Applications in Medicine (TEAM-AI) within McWilliams School of Biomedical Informatics at UTHealth Houston; Former Assistant Professor of Biomedical Informatics in the Department of Artificial Intelligence and Informatics at Mayo Clinic; Involved in multiple NIH-funded projects, leading the AI and NLP efforts in an NIH R01 project focused on computational phenotyping and exploring SDoH related to mental health disorders; Serving as a site PI in an NIH R34 project aimed at identifying social media users with vaping-related negative outcomes and the intention of quitting vaping for digital interventions.
Education
- PhD, Scientific Computation, University of Minnesota – Twin Cities, 2014; Graduate Trainee, Biomedical Informatics and Computational Biology, University of Minnesota, 2008-2010; Graduate Studies, Theoretical Physical Chemistry, Beijing Normal University
Background
- Research Interests: Advancing Clinical and Translational Research in multiple healthcare domains such as mental health, consumer health, and telehealth; Professional Field: Computer Science, Health Data Science, and Health Science; Background: Dr. Huang has profound expertise in the development and application of Artificial Intelligence (AI) and Data Mining methods to tackle significant and challenging problems in biomedicine.
Miscellany
- Looking for highly motivated Graduate Students and Postdoctoral Fellows with strong interests in AI and Health Informatics to join his center to perform high-quality publishable research, develop innovative technological solutions, and address challenging real-world problems in healthcare.
