Research Projects (Kai Li)

• Content-Aware Search Systems
  This project studies how to build content-based search systems for large feature-rich datasets such as images, audio data, genomic data and other sensor data.  We are particularly interested in practical dimensional reduction, indexing and clustering methods for high-dimensional similarity search.
  Faculty collaborators: Moses Charikar, Perry Cook and Olga Troyanskaya.
• Benchmark Suite for Next-Generation Manycore Processors
  This project constructs a suite of emerging applications in Recognition, Mining and Synthesis (RMS), server systems, statistical machine learning, and gaming.
  Faculty collaborator: JP Singh
• Scalable Display Wall

This project explores research issues on how to build and use large-scale display wall systems.  In particular, we are interested in building systems for data visualization and collaborate across space and time. 
Faculty collaborator: Doug Clark, Perry Cook, Adam Finkelstein and Thomas Funkhouser
• Genomic Data Analysis and Visualization
  This project investigates how to analyze and explore multiple microarray genome datasets in multiple ways and studies how to collaborate with multiple sites. 
  Faculty collaborator: Olga Troyanskaya
• Network Data Anomaly Detection
  This project studies how to build a general anomaly detector for network traffic and routing data.
  Faculty collaborator: Jennifer Rexford