Professional AssociationsProfessional Associations: American Association for the Advancement of Sciences | American Medical Informatics Association | Fellow, IEEE | Fellow, International Association of Pattern Recognition
I lead the Center for Computation Health at IBM Research, which consists of a multidisciplinary team of over 30 Ph.D. and MD researchers working on applying data science to Healthcare. I am responsible for defining, driving and executing the scientific research agenda and technical innovations in the broad areas of data driven healthcare analytics, with focuses on predictive analytics, disease modeling, real world evidence generation, translational informatics, connected health and computational health behavior. I chaired the American Medical Informatics Association (AMIA) Knowledge Discovery and Data Mining Working Grouop from 2014 to 2016.
Fellow, IEEE (Class of 2015)
Fellow, International Association for Pattern Recognition (Class of 2010)
Current Research Interests
Healthcare Analytics and Biomedical Informatics
Patient Similarity Analysis, Predictive Modeling, Temporal Modeling, Disease Modeling, Care Pathway Analtyics, Population Risk and Utilization Analysis, Drug Indication Expansion and Safety.
Past Research Areas
Portfolio analysis, services engagement modeling, demand forecasting and workforce management.
Web Document Analysis and Mining
Web content and structure mining, content extraction, page re-targeting, mobile access.
Image/Video Analysis and Retrieval
Design of distance metrics that match human perceptions for color and texture based image matching. Video scene classification, topic tracking and summarization.
Online Handwriting Recognition, Signature Verification, Pen Computing
Various aspects of the handwriting recognition problem, including model and system design using the HMM framework, decoding algorithms, feature extraction, preprocessing, and language modeling using probabilistic automata. Character recognition for handheld devices. Dynamic signature verification.
Document structure analysis, particularly using layout information and linguistic knowledge, for applications such as multimedia messaging, information retrieval, web document analysis, and mobile Internet access.
- IEEE Transactions on Pattern Recognition and Machine Intelligence (2006 -- 2010)
IEEE Transactions on Image Processing (2001 -- 2005)
International Journal of Document Analysis and Recognition (2009 -- 2015)
Pattern Recognition (2011 -- 2016)
- Working Group Chair
- Amrican Medical Informatics Association, Working Group on Knowledge Discovery and Data Mining (2014 - 2016)
- Technical Committee Chair
- International Association for Pattern Recognition TC11 (Reading Systems) (2004 -- 2008)
- Technical Committee Chair
- International Association for Pattern Recognition Industrial Liaison Committee (2013 -- 2017)
- Conference Co-Chair
- IWPRHA2014 IWPRHA2012 ICDAR 2011 , SPIE DR&R XI (2004) , WDA 2003, SPIE DR&R X (2003) , DAS 2002, WDA 2001
- Program Chair
- ICFHR 2008
- Technical Committee Member
- IEEE Signical Processing Society Image and MultiDimensional Signal Processing Technical Committee (2004 --)
International Association for Pattern Recognition Conferences and Meetings Committee (2006 -- 2010)
International Association for Pattern Recognition Industrial Liaison Committee (2002 -- 2010)
- Book Co-Editor
- Web Document Analysis: Challenges and Opportunities, World Scientific, October 2003.
- Guest Editor,
- Pattern Recognition Special Issue on Frontiers of Handwriting Recognition, 2008.
International Journal on Document Analysis and Recognition Special Issue on Document Analysis Systems, 2004.
- Program Committee
- SPIE DR&R XVII (2010) , SPIE DR&R XVI (2009) , ICPR 2008 , SPIE DR&R XV (2008) , ICDAR2007 , ICIP 2007 , SPIE DR&R XIV (2007) , ICPR2006, ICASSP2006 , ICIP2006 , ICDAR2005, SPIE DR&R XII, DocEng2004, DAS2004, ICIP2004, GREC2003, DocEng2003, ICDAR2003, DLIA2001, GREC2001, DLIA1999
Jianying Hu is a Distinguished Research Staff Member and Program Director of Center for Computational Health at IBM Thomas. J. Watson Research Center. She studied Electrical Engineering at Tsinghua University in China, and received her Ph.D. in Computer Science from SUNY Stony Brook in the US in 1993. Prior to joining IBM she was with Bell Labs (1993 to 2000) and Avaya Labs (2000 to 2002). Dr. Hu’s main research interests include machine learning, data mining, statistical pattern recognition, and signal processing, with applications to healthcare analytics, medical informatics, business analytics, and multimedia content analysis. Most recently, Dr. Hu has been leading a team of researchers at IBM Research developing advanced machine learning and data mining methodologies for deriving data-driven insights to facilitate “learning health systems”. Dr. Hu has published over 100 technical articles and holds 28 patents. She has served as associate editor for IEEE Transactions on Pattern Analysis and Machine Intelligence, and IEEE Transactions on Image Processing, Pattern Recognition, and International Journal on Document Analysis and Recognition. She is a fellow of IEEE (class of 2015), a fellow of International Association of Pattern Recognition (class of 2010), and received the Asian American Engineer of the Year award in 2013. She was chair of AMIA Knowledge Discovery and Data Mining Working Group from 2014 to 2016.