Mission Statement: To create best data analytic algorithms, systems, and applications that help solving important healthcare problems
Jimeng Sun is an Associate Professor of School of Computational Science and Engineering at College of Computing at Georgia Institute of Technology.
His research interests are on data mining and machine learning for health applications especially analysis of electronic health records (EHR):
- Computational phenotyping from electronic health records.
- Large-scale predictive modeling system
- Patient similarity learning
- Temporal modeling of electronic health records
- Tensor analysis, network analysis
- Public health applications
- 10/1/2015, NSF CCF:XPS award on "A Parallel Tensor Infrastructure (ParTI!) for Data Analysis" (750K, co-PI)
- 6/20/2015, Sunlab got 1 KDD'15 paper, 2 AMIA'15 papers and 2 AMIA'15 poster. More details to come.
- 3/11/2015, Jimeng Sun received Google Faculty Research Award. Thanks, Google!
- 9/1/2014, NSF SCH INT award on High-throughput Phenotyping on Electronic Health Records using Multi-Tensor Factorization with $2.1 million (my portion 640K) as the lead PI (check out our project site)
My research cover Algorithm [Alg], Application [App], System [Sys]
New [Alg] Yichen Wang, Robert Chen, JoydeepGhosh, Joshua C,Denny, Abel,Kho, You,Chen, Bradley,A. Malin, Jimeng; Sun. Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics. KDD’15 [presentation, code]
Joyce Ho, Joydeep Ghosh, Jimeng Sun. Marble: High-throughput Phenotyping from Electronic Health Records via Sparse Nonnegative Tensor Factorization. ACM SIGKDD, 2014
Ho, Joyce C., Joydeep Ghosh, Steve R. Steinhubl, Walter F. Stewart, Joshua C. Denny, Bradley A. Malin, and Jimeng Sun. “Limestone: High-Throughput Candidate Phenotype Generation via Tensor Factorization.” Journal of Biomedical Informatics. Accessed August 8, 2014. doi:10.1016/j.jbi.2014.07.001.
[App] Jimeng Sun, Candace D McNaughton, Ping Zhang, Adam Perer, Aris Gkoulalas-Divanis, Joshua C Denny, Jacqueline Kirby, Thomas Lasko, Alexander Saip, and Bradley A Malin. Predicting Changes in Hypertension Control Using Electronic Health Records from a Chronic Disease Management Program. Journal of the American Medical Informatics Association: JAMIA (September 17, 2013). doi:10.1136/amiajnl-2013-002033.
[Sys] Kenney Ng, Amol Ghoting, Steven R Steinhubl, Walter F Stewart, Bradley Malin, and Jimeng Sun. PARAMO: A Parallel Predictive Modeling Platform for Healthcare Analytic Research using Electronic Health Records. Journal of Biomedical Informatics 2013
[Alg] Fei Wang, Jimeng Sun, Shahram Ebadollahi: Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment. Statistical Analysis and Data Mining 5(1): 54-69 (2012) (journal special issue for the best of SDM’11)
[Alg] Tamara G. Kolda and Jimeng Sun. Scalable Tensor Decompositions for Multi-aspect Data Mining. in Proc. IEEE International Conference on Data Mining (ICDM), 2008. (Best Paper). Acceptance rate: 9.7%
- [Alg] Jimeng Sun, Dacheng Tao, and Christos Faloutsos. Beyond streams and graphs: Dynamic tensor analysis. ACM SIGKDD, 2006. Acceptance rate: 10.9%
- AMIA Distinguished Paper Semi-finalist 2015
- Google Faculty Award, 2015
- Amazon AWS in Education Research Award 2014
- IBM Master Inventor 2013
- IBM Research Accomplishment Award for Intelligent Care Delivery Analysis 2013
- KDD’12 Best Poster Presentation Award
- AMIA’10 Distinguished Paper Award nominee
- IBM Research Accomplishment Award for Service Quality Research 2009
- ICDM’08 Best Research Paper Award
- KDD’08 Dissertation Award (runner-up)
- SDM’07 Best Research Paper
- HKUST Academic Achievement Awards 2002
Curriculum Vitae (Last update: Jan 15, 2016)
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