Research

Research Vision

Keywords: Ubiquitous Intelligence, On-device AI, Energy efficiency, Co-design

I envision ubiquitous intelligence enabled by AI and edge computing technologies, which will empower people to expand their capability and enable them to focus on important aspects (societal values, creative works, and so on) rather than tedious and repetitive tasks. To enable seamless intelligence, we need to address the following three key research questions:

1. [AI Algorithms] How to extend the intelligence capabilities of computers (i.e., How make AIs be more capable)
2. [Intelligence Systems / Devices] How to enable real-time intelligence with low energy cost (i.e., How to make AI systems faster and more efficient)

Accordingly, my approach to these problems is co-design across the compute stack. In particular, my interests are in co-design across algorithms, system software, compiler, programming language, and hardware architecture. 

Research Interest (categorized into traditional areas of CS)

My main background is in computer architecture. My current research interest is mainly in accelerating real-time multi-model AI for wearable/mobile devices such as AI glasses. My research interests cover (but not limited to) the topics I list below:

• Computer Architecture
  • AI Accelerators and SoCs with them
  • Interconnection networks (NoCs)
  • Design automation
• System Software
  • Compiler optimization for custom accelerators
  • Runtime software for custom accelerators
• Machine learning
  • Efficient model architectures
  • Model – System Software – Hardware co-design