Introduction

The System &Artificial Intelligence (SAI) lab focuses on exploring the field where deep learning and hardware system intersect. Our primary goal is to co-optimize AI algorithms and the underlying hardware architecture to enhance the implementation of AI. Additionally, we leverage AI as a powerful tool to streamline the hardware design process.

 

If you are interested in working with us, please send your CV to sailabapplication@gmail.com.

Ph.D. Students

  • Tianhua Xia (2024.09-)
  • Haiyu Wang (2024.09-)

 

I am hiring two PhD students of Courant CS and Tandon ECE starting Fall 2025 to work on AR/VR computing, AI system, AI accelerator and AI privacy. Please reach out to me if you are interested:)

Masters

  • Khushi Sharma (EE) (2024-)
  • Hongyi Zeng (EE) (2024-)
  • Mingzhi Zhu (EE) (2024-)

  • Yutong Wang (EE) (2024-)
  • Wenxuan Liu (EE) (2023-)
  • Zhenyuan Dong (EE) (2023-)
  • Yunhai Hu (CS) (2024-)
  • Rahul Raman (CS) (2024-)

If you are NYU students and interested in working with me, please contact me directly:)

Undergrads/Interns

  • Wenshuo Peng (2023-)
  • Tianfan Peng (2023-)
  • Jiajun Qin (2024-)
  • Jingyang Xiang (2024-)
  • Shuo Xin (2024-)

 

Yixuan Luo (2023.07-2023.11) (Joining University of Chicago CS as a PhD student)

Chao Gao (2023.07-2024.03) (Joined UC Riverside ECE as a PhD student)

Tianhua Xia (2023.07-2023.11) (Joining New York University ECE as a PhD student)

 

I am always taking undergrads/interns (can be remote) to work on the AI accelerator, efficient AI and AI privacy:), each intern will be supervised by me directly, most of them will end up with a top conference submission by the end of the internship.