Research

Our research focuses on computer systems for diverse AI models across a wide range of computing platforms, from resource-constrained mobile and edge devices to large-scale data-center systems. We explore system and cross-layer optimization to improve the efficiency, adaptability, and scalability of AI workloads.

Detailed research interests are summarized below. 

• System/Algorithm Co-Optimization for On-Device AI

• Resource-Efficient AI Execution at Scale

• Machine Learning for System Optimization

• System Design and Optimization for Next-Generation AI