I am currently a research fellow at Nanyang Technological University (NTU) and working with Prof. Wei Dong. I received my Ph.D. in Computer Science and Engineering at the University of California, Irvine (UCI), advised by Prof. Faisal Nawab. My research focuses on developing innovative methods for building scalable, efficient, and trustworthy systems capable of processing and learning from diverse types of data in real-time. This includes designing systems that ensure efficiency, privacy, and security while enabling real-time insights and advanced analytics.
My recent work focuses on applying zero-knowledge proofs and verifiable computing to AI and data systems, exploring how these technologies can strengthen trust, privacy, and correctness in AI-related applications and database workflows. I am particularly interested in building efficient, scalable solutions that enable verifiable computation for use cases such as SQL query execution, data integrity, and AI-driven systems, helping advance secure, trustworthy, and high-performance intelligent applications.
In addition, I have extensive experience applying zero-knowledge proofs to enhance security and trust in blockchain, Web3, and database systems. My broader expertise includes designing advanced machine learning algorithms for knowledge graphs, natural language understanding, multi-modal learning, and large language models (LLMs). My ultimate goal is to drive innovation in real-time data infrastructure and AI, contributing to the development of smarter, more scalable, and trustworthy systems.
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