Assured Information Management and Sharing (AIMS)

Department of Computer Science
Emory University

Research Statement
Enabling trustworthy and privacy-preserving data sharing is key to addressing critical issues as diverse as healthcare and national security. The AIMS research lab conducts research in the intersection of big data, machine learning, and information privacy and security aimed at developing algorithms and techniques for enhancing privacy and robustness of data driven systems.

Current Projects
Hyperlocal Risk Monitoring and Pandemic Preparedness through Privacy-Enhanced Mobility and Social Interactions Analysis (NSF SCC) (with Weihua An, Shivani Patel at Emory, Cyrus Shahabi at USC, Masatoshi Yoshikawa and collaborators at Kyoto University and NAIST)

PREMED: Privacy-Preserving and Robust Computational Phenotyping using Multisite EHR Data (NSF SaTC) (with Joyce Ho, Gari Clifford and Siva Bhavani at Emory, Xiaoqian Jiang and Paul Schulz at UTHealth)

PREPARE: Virtual Organization for Computing Research in Pandemic Preparedness and Resilience (NSF CNS) (PI: Madhav Marathe at UVA, with Anil Vullikanti at UVA and Simon Levin at Princeton)

Privacy-enhanced data-driven health monitoring for smart and connected senior communities (NSF SCC) (with Gari Clifford and Weihua An at Emory, Masatoshi Yoshikawa and Tomohiro Kuroda at Kyoto University)

Development of a Differentially-Private, Synthetic Control Group for the Center for Health Discovery and Well Being (CHDWB) Cohort (Emory Synergy) (with Lance Waller and Yi-An Ho at Emory)

REACT: Real-time contact tracing and risk monitoring via privacy enhanced mobile tracking (NSF RAPID) (with Vicki Hertzberg and Lance Waller at Emory, Cyrus Shahabi at USC, and Xiaoqian Jiang and Amy Franklin at UTHealth)

TIMES: A tensor factorization platform for spatio-temporal data (NSF BigData) (PI: Joyce Ho at Emory, with Jimeng Sun at UIUC)

Decentralized differentially-private methods for dynamic data release and analysis (NIH R01) (PI: Lucila Ohno-Machado at UCSD, UTHealth: Xiaoqian Jiang)

Selected Past Projects
Spatiotemporal Privacy for Location Based Applications (NSF SaTC)

Next Generation Frameworks for Secure DDDAS/Infosymbiotics Systems (AFOSR DDDAS) (with Vaidy Sunderam at Emory)

Building Patient-Centered Privacy Preserving Data Registries (PCORI) (with Prof. Andrew Post at Emory, Prof. Xiaoqian Jiang at UTHealth, and Prof. Lucila Ohno-Machado at UCSD)

SHARE: Statistical Health Information Release with Differential Privacy (NIH R01) (with Prof. Andrew Post at Emory, Prof. Xiaoqian Jiang at UTHealth, and Prof. Lucila Ohno-Machado at UCSD)

Adaptive Differentially Private Data Release (NSF SaTC)

I-Corps: iCloak: Privacy Preserving Individual Location Sharing (NSF I-Corps)

Extending Differential Privacy for Privacy Preserving Location Sharing (Google Research Award)

PREDICT: PRivacy Enhancing Dynamic Information Collection and moniToring (AFOSR DDDAS) (with Prof. Vaidy Sunderam at Emory)

HIDE™: Health Information DE-identification (Woodrow Wilson Foundation)

Enabling Privacy for Data Federation Services (Cisco Research Award)

FRIL: Fine-grained Record Integration and Linkage (CDC) 

We acknolwedge the generous support by NSF, AFOSR, NIH, and PCORI, Google Research Award, Woodrow Wilson Foundation, Cisco research award, IBM Faculty Innovation Award, and various support from Emory University (Math/CS, College, URC, and CCI).

Any opinions, findings, and conclusions or recommendations expressed in the project material are those of the authors and do not necessarily reflect the views of the sponsors.