Welcome to my academic space.

My research focuses on the intersection of modern database engines and artificial intelligence, specifically targeting Vector Database Query Processing for Retrieval-Augmented Generation (RAG) Systems. As Retrieval-Augmented Generation becomes the foundation for enterprise AI, standard vector search faces severe challenges with multi-modal embeddings, high-dimensional index overhead, and latency bottlenecks.

I am also interested in the fundamental design question of "where data should be kept: in database or in network". The traditional boundary between database engines and network transport is blurring. My work investigates how moving computation closer to data movement—leveraging near-data processing, and network-level query offloading—can transform data retrieval for real-time generative AI.