Summary
Overview
Work History
Education
Skills
Projects
Conference
Timeline
Generic

Hyeonjin Kim

Sejong

Summary

H. Kim, C. Park, Y. Kim, H. Lee,

“Hardware-Software Co-simulation for Efficient Compressive Sensing of ECG Signals,” ITC-CSCC 2025, Seoul, Korea, Jul. 2025 (Poster)

Overview

2
2
years of professional experience

Work History

Internship program

MC.Chu
09.2025 - 01.2026
  • Performed pixel-level Random Telegraph Noise (RTN) analysis in CMOS image sensors
  • Analyzed time-domain noise behavior and statistical characteristics
  • Assessed impact of device-level noise on sensor performance to identify potential optimisation areas

CICS Research Intern

HK.Lee
07.2024 - 09.2025
  • Developed a compressive sensing-based ECG signal processing system to reduce sampling rate and data size for low-power sensor applications
  • Developed a bearing fault diagnosis algorithm using vibration signals
  • Performed signal processing and feature extraction under noisy conditions
  • Gained experience in frequency-domain analysis and noise-aware signal interpretation

Education

Bachelor of Science - AI Semiconductor

Korea University
Sejong, Korea
01.2026

Skills

  • Circuit Design & Simulation: Cadence Virtuoso, Spectre
  • Signal Processing: MATLAB, Python
  • Measurement & Data Analysis
  • Language: English (OPIC IH)

Projects

Integrated circuit design project (In Integrated course, 2025.03~2025.06), Sized NMOS/PMOS transistors based on VTC analysis to match rise/fall times., Designed multi-stage inverter and NAND chains for minimum delay driving external capacitive loads (20-200 fF)., Evaluated transient response and delay trade-offs through transistor-level simulation., Bearing Fault Diagnosis System project (In CICS,204.07~2025.09), Developed signal processing pipeline: low-bit quantization (down to 2-bit) → STFT → CNN classification., Achieved 99% accuracy using 2-bit quantized signals on bearing fault detection., Implemented 1st-order incremental delta-sigma ADC (OSR = 1, ENOB = 1-bit) and achieved 99% accuracy., Validated performance using both CWRU open dataset and self-measured bearing vibration data.

Conference

  • H. Kim, C. Park, Y. Kim, H. Lee
  • “Hardware-Software Co-simulation for Efficient Compressive Sensing of ECG Signals,” ITC-CSCC 2025, Seoul, Korea, Jul. 2025 (Poster)

Timeline

Internship program

MC.Chu
09.2025 - 01.2026

CICS Research Intern

HK.Lee
07.2024 - 09.2025

Bachelor of Science - AI Semiconductor

Korea University
Hyeonjin Kim