Published multiple top-tier conference papers such as NeurIPS, ICML, ICLR, EMNLP, DAC, and holds several US patents. Funded by projects like NSF SaTC Crosscutting, DoD Pathfinder Program, and NSF CISE Core. Also received the Luddy Outstanding Research Award.
Research Experience
Previously served as a senior research scientist at Samsung Research America. At UCF, leads the Unbounded AI Lab with the mission of overcoming privacy, trust, and performance constraints on AI infrastructure and systems, enabling Confidential, Verifiable, and Efficient AI Computing at Scale.
Education
Ph.D. from Indiana University Bloomington.
Background
Director of Unbounded AI Lab at UCF and Assistant Professor in the Department of Computer Science, a member of the Cybersecurity and Privacy Cluster. Research interests include secure AI computing via applied cryptography and trusted hardware, AI infrastructure (data, models, algorithms, and hardware), and secure and large language models.
Miscellany
Advises multiple Ph.D. students and is currently recruiting new Ph.D. students and postdocs.