My research interests center on:
On-Device AI
I aim to develop AI systems that achieve both high performance and memory-efficiency directly on devices while maintaining adaptability and scalability across distributed environments.
AI Accelerators
I focus on designing hardware-software co-optimization techniques that enable real-time inference and learning on edge devices through AI accelerator architectures and efficient model deployment strategies.
Edge-Cloud Collaboration
I am interested in exploring collaborative systems between edge and cloud platforms, optimizing communication, computation, and data flow for latency-sensitive applications.
Personalized AI
I seek to advance adaptive AI systems that learn continuously from user behavior and contextual data, enabling privacy-preserving personalization directly on-device.
