Assured Information Management and Sharing (AIMS)

Department of Computer Science
Emory University

Research Goals

The AIMS lab conducts research in the intersection of data management, machine learning, and information security, with a recent focus on privacy-enhancing and trustworthy machine learning and data sharing algorithms to advance data driven-AI systems for healthcare and public health.

Looking for postdoc and PhD students, please join us!

Current Projects

Hyperlocal Risk Monitoring and Pandemic Preparedness through Privacy-Enhanced Mobility and Social Interactions Analysis
NSF SCC and JST, 2021-2024
Li Xiong, Weihua An, Shivani Patel (Emory), Cyrus Shahabi (USC), Masatoshi Yoshikawa (Kyoto)

PREMED: Privacy-Preserving and Robust Computational Phenotyping using Multisite EHR Data 
NSF SaTC, 2021-2025
Li Xiong, Joyce Ho, Gari Clifford, Siva Bhavani (Emory), Xiaoqian Jiang, Paul Schulz (UTHealth)

Decentralized differentially-private methods for dynamic data release and analysis
NIH R01, 2022-2026
Lucila Ohno-Machado (Yale), Xiaoqian Jiang (UTHealth), Li Xiong (Emory)
Sensor Hardware and Intelligent Tools for Assessing the Health Effects of Heat Exposure
NIH R01, 2022-2026
Vicki Hertzberg (Emory), Li Xiong (Emory), Woo-Hong Yeo (GaTech)

Romulus and Remus - Two Systems for Building Mega-City Intelligence
IARPA HAYSTAC, 2023-2026
Khurram Shafique (Novateur, PI), Leman Akoglu (CMU), Yao-Yi Chiang and Shashi Shehkhar (UMN), Marta Gonzalez (UC Berkeley), Jiaqi Ma (UCLA), Cyrus Shahabi (USC), Rose Yu (UCSD), Li Xiong (Emory)

Understanding Bias in AI Models for the Prediction of Infectious Disease Spread
NSF and CSIRO, 2023-2026
Andreas Zufle and Li Xiong (Emory), Flora Salim (UNSW Sydney)

PREPARE: Virtual Organization for Computing Research in Pandemic Preparedness and Resilience
NSF CNS, 2020-2023
Madhav Marathe, Anil Vullikanti (UVA), Simon Levin (Princeton), Li Xiong (Emory)

Healthcare Recommender Systems
Kaiswer Permanente, 2022-2023
Li Xiong (Emory)

Selected Past Projects
Machine Learning for Multi-Modal Sensing Technology for Heat Exposure (Cisco Research University Award) (PI: Vicky Hertzberg), 2021-2022

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), 2020-2022

TIMES: A tensor factorization platform for spatio-temporal data (NSF BigData) (PI: Joyce Ho at Emory, with Jimeng Sun at UIUC), 2018-2022

Decentralized differentially-private methods for dynamic data release and analysis (NIH R01) (PI: Lucila Ohno-Machado at UCSD, UTHealth: Xiaoqian Jiang), 2017-2022

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), 2020-2022

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), 2020-2021

Spatiotemporal Privacy for Location Based Applications (NSF SaTC), 2016-2020

Next Generation Frameworks for Secure DDDAS/Infosymbiotics Systems (AFOSR DDDAS) (with Vaidy Sunderam at Emory), 2016-2020

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), 2014-2019

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), 2015-2019

I-Corps: iCloak: Privacy Preserving Individual Location Sharing (NSF I-Corps), 2016-2017

Extending Differential Privacy for Privacy Preserving Location Sharing (Google Research Award), 2016-2017

PREDICT: PRivacy Enhancing Dynamic Information Collection and moniToring (AFOSR DDDAS) (with Prof. Vaidy Sunderam at Emory), 2012-2015

Adaptive Differentially Private Data Release (NSF SaTC), 2011-2015

HIDE™: Health Information DE-identification (Woodrow Wilson Foundation), 2019-2010

Enabling Privacy for Data Federation Services (Cisco Research Award), 2010

FRIL: Fine-grained Record Integration and Linkage (CDC), 2007-2008


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, PERS, URC, and Synergy).