sai lab

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.

• Jishnu Warrier (EE)
• Siddhant Mohan (EE)
• Rahil Singhi (EE)
• Ziqi Wang (EE) 
• Yutong Wang (EE)
• Yifei Feng (EE)
• Su Chen (EE)
• Xingyu Liu (EE)
• Jiajing Zheng (CS)
• Yunhai Hu (CS) 
• Shawn Yin (CS)

 

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

• Yanzhou Tang (Shanghai Jiaotong University)
• Zining Liu (University of Pennsylvania)
• Leshu Li (University of Minnesota)

 

Yixuan Luo

Chao Gao

Tianhua Xia

Jingyang Xiang

Jiajun Qin

Zhenyuan Dong

Khushi Sharma

Mingzhi Zhu

Hongyi Zeng

Rahul Raman

Shuo Xin

Kedong Xiu

Fengze Yu

Qiance Tang

 

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.