Recipient of NSF CAREER Award (2018), Regents Faculty Fellowship (2018), Hellman Fellowship (2018), Best Paper Runner-up Award at MobiSys'18, and Best Paper Awards at ASPLOS'20 and ASPLOS'22. Notable works include: Streaming and Indexing of Semi-Structured Data, Graph Analytics: GPU Acceleration, Analyzing and Preserving Mobile App State, Parallelizing Finite-State Machine (FSM) Computations.
Research Experience
Joined UC Riverside as an assistant professor in 2015 and became an associate professor in 2020.
Education
Received Ph.D. in Computer Science from the College of William and Mary in 2015, under the supervision of Prof. Xipeng Shen.
Background
Research Interests: Developing algorithms and software libraries for high-performance data analytics, focusing on non-tabular (NoSQL) data such as graphs, semi-structured data, markup data, raw text, and binary serialization formats. Enhancing performance through efficient parallelization, redundancy elimination, and improved data locality. Exploring program analysis and AI/ML techniques to address correctness and performance challenges in real-world software applications.