Lab Overview

The Circuit and System Intelligence Research Laboratory (CSIR Lab) is at the forefront of designing advanced analog/digital/mixed-signal circuits, machine learning architectures, and algorithms for hardware-efficient machine learning (ML). Our research is particularly relevant in human-AI ecosystems, addressing critical areas such as machine learning acceleration, security, privacy, explainability and human-AI collaboration.

We're Hiring

We are actively hiring fully-funded Ph.D. candidates with the expertise in

  1. analog/digital/mixed-signal circuit design 
  2. machine learning architecture design 
  3. aritificial intelligence algorithm development

PI Background

Dr. Ningyuan Cao is an assistant professor at Notre Dame. Before this, he was a postdoctoral researcher at the IBM T.J. Watson Research Center. He earned his Ph.D. from Georgia Tech, and his Master's and Bachelor's degrees from Columbia University and Shanghai Jiaotong University, respectively. Dr. Cao is an expert in ML acceleration and its low-power analog, digital, and mixed-signal circuit designs. His extensive knowledge also covers analog IC design automation using AI, with numerous related U.S patents. He and his lab have fabricated numerous innovative chips for a variety of applications, including robotics, security, wireless SoCs, and neuromorphic computing. His contributions are well-documented, with publications in top-tier conferences (ISSCC, VLSI, IMS, DATE) and journals (JSSC, TCAS-I, TIE). Currently, he is a member of the Technical Program Committee for the IEEE Custom Integrated Circuits Conference (CICC) and an associate guest editor for the IEEE Solid-State Circuits Letters (SSCL).