Scholar
Jianying Hu, Fellow IEEE, FACMI, Fellow ICPR
Google Scholar ID: DVb2d2IAAAAJ
IBM Thomas J. Wastson Research Center
Citations & Impact
Citations
5,795
H-index
37
i10-index
91
Publications
20
Co-authors
25
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published over 150 peer-reviewed scientific papers
- Holds more than 50 patents
- Fellow of the American College of Medical Informatics (ACMI)
- Fellow of the International Academy of Health Sciences Informatics (IAHSI)
- IEEE Fellow
- Fellow of the International Association for Pattern Recognition (IAPR)
- Recipient of the Asian American Engineer of the Year Award (2013)
- Member of the External Advisory Board of the NIH AIM-AHEAD Program
- Member of the Industry Advisory Board of Boston University Hariri Institute for Computing
- Serves on the Editorial Board of JAMIA Open and Advisory Board of JHIR
- Served on the NASEM Committee on Creating a Framework for Emerging Science, Technology, and Innovation in Health (2022–2023)
- Served on AMIA’s Journals and Publications Committee (2020–2023)
- Chair of AMIA’s Knowledge Discovery and Data Mining (KDDM) Working Group (2014–2016)
- Served on the Computational Science Advisory Board of the Michael J. Fox Foundation (2017–2018)
- Served on the External Advisory Board of Vanderbilt University Department of Biomedical Informatics (2018–2020)
- Former Associate Editor for IEEE TPAMI, IEEE TIP, and Pattern Recognition
Background
- IBM Fellow; Director of Healthcare and Life Sciences (HCLS) Research at IBM; Global Science Leader of AI for Health
- IBM Executive Partnership Leader of the Cleveland Clinic-IBM Discovery Accelerator
- Adjunct Professor at Icahn School of Medicine at Mount Sinai
- Research interests include machine learning, data mining, statistical pattern recognition, and signal processing
- Recent focus on developing AI technologies for accelerated therapeutic discovery, with applications in healthcare analytics, medical informatics, business analytics, and multimedia content analysis
