Kwantae Kim

Work phone:

I received my B.S., M.S. and Ph.D. degrees in EE from KAIST, South Korea, in 2015, 2017, and 2021, respectively, supervised by prof. Hoi-Jun Yoo.
During the Ph.D. course, I was a Visiting Student in INI, supervised by profs. Shih-Chii Liu and Tobi Delbruck in 2020.

I've participated in the design of 10 Silicon Chips over 6 Years related to: Biomedical Sensor (Bio-Z/ECG); Neuromorphic Audio Sensor (Analog Feature Extractor).

I've experienced Silicon-Verified Mixed-Signal circuit design flows especially on: Analog Full-Custom (Schematic, Layout); Digital Synthesis (RTL, Gate-Level, P&R); Integration/Co-Verification with Full-Custom and Synthesized Circuits.


Shih-Chii Liu



  • Kwantae Kim, Shih-Chii Liu A 3.11 μW 40 nV/√Hz Instrumentation Amplifier for Bio-Impedance Sensors Exploiting Positive-Feedback-Assisted Gain Boosting, IEEE International Symposium on Circuits and Systems (ISCAS), 2023
  • Kwantae Kim, Shih-Chii Liu Continuous-Time Analog Filters for Audio Edge Intelligence: Review on Circuit Designs, IEEE Circuits and Systems Magazine (CASM), 2023
  • Qinyu Chen, Yaoxing Chang, Kwantae Kim, Chang Gao, Shih-Chii Liu An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting, IEEE International Symposium on Circuits and Systems, 2023 pdf
  • Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Kwantae Kim, and Hoi-Jun Yoo Neuro-CIM: ADC-less Neuromorphic Computing-in-Memory Processor with Operation Gating/Stopping and Digital-Analog Networks, IEEE Journal of Solid-State Circuits (JSSC), 2023
  • Zhou, S., Chen, X, Kim, K., and Liu, S-C. High-accuracy and energy-efficient acoustic inference using hardware-aware training and a 0.34 nW/Ch full-wave rectifier, IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023