My research focuses on creating technologies that can efficiently extract useful information from any data without sacrificing privacy or security. I have been working on security and privacy issues raised by data mining and machine learning, privacy issues in social networks, security issues in databases, privacy issues in health care, applied cryptography for data security, risk and incentive issues in assured information sharing, use of data mining and machine learning for fraud detection, botnet detection and homeland security. Recently, I have been focusing on security, accountability and privacy issues in machine learning, and using blockchains for assured data sharing.

I am the the recipient of various awards including NSF CAREER award, the AMIA (American Medical Informatics Association) 2014 Homer R Warner Award and the IEEE (Institute of Electrical and Electronics Engineers) ISI (Intelligence and Security Informatics) 2017 Technical Achievement Award presented jointly by IEEE SMC and IEEE ITS societies for my research in data security and privacy. I am also a fellow of AAAS (American Association for the Advancement of Science), and IEEE, and a distinguished member of ACM.