Publications

Journals

Selected journal papers

2026

Sunyeol Bae, Junhyeong Park, Hyung-Jun Noh, Jaybum Kim, Yumin Yun, Chae-Hwan Park, and Soo-Yeon Lee
Subthreshold Swing Control in IGZO TFTs Using Floating-Gate Engineering for AMOLED Displays

Journal of the Society for Information Display Accepted

🔗 Paper
2026

Yumin Yun, Junhyeong Park, Sunyeol Bae, Chae-Hwan Park, Dong Hyeon Lee, and Soo-Yeon Lee
A Neuromorphic Simulation Framework for IGZO Charge-Trap Synaptic Transistors: From Device Modeling to System Simulation

Advanced Intelligent Systems Accepted

🔗 Paper

Conferences

Conference papers & presentations

2026

Chae-Hwan Park, Seung Yoon Shin, Seong Eun Kim, Min Kang, and Soo-Yeon Lee
A Schmitt-Trigger Comparator-Based Noise-Robust Reconfigurable Leaky Integrate-and-Fire Neuron Circuit for Spiking Neural Networks

KCS 2026 · Jeongseon, Korea Poster
2025

Chae-Hwan Park, Jaybum Kim, Kyeong-Soo Kang, Hyeon-Gu Kang, and Soo-Yeon Lee
Micro-LED Pixel Circuit with A Novel NMOS-Oxide TFT Inverter for Reducing Falling Time and Enhancing Gray-Level Expression

SID 2025 · San Jose, USA Poster

🔗 Paper
2025

Chae-Hwan Park, Soobin An, Seungyoon Shin, Ji-Ho Lee, Hyeonjun Choi, and Soo-Yeon Lee
고성능 디스플레이 화소 회로 설계를 위한 TFT 인버터 특성 비교

KMID 2025 · Gangneung, Korea Poster
2024

Chae-Hwan Park, Kyeong-Soo Kang, Ji-Hwan Park, Chanjin Park, and Soo-Yeon Lee
μLED Pixel Circuit Based on Low-Temperature Polysilicon and Oxide Thin-Film Transistors for Pulse-Width Modulation with Extremely Short Falling Time

ICEP-ITA 2024 · Tashkent, Uzbekistan Oral

Research Topic

CMOS/TFT Circuit Design

I conduct research on Si-based CMOS and IGZO-based TFT circuit design and verification, focusing on neuromorphic (SNN-based neuron circuit) and display driving circuits (OLED, μLED), with a growing interest in mixed-signal circuit design integrating analog and digital circuits.

Si-CMOS IGZO-TFT Neuron circuit

System Architecture Design

I focus on hardware system design bridging custom devices, CMOS circuits, and PCB-level electronics. My work includes MCU/FPGA-based control, AFE-optimized sensing, and low-power integrated platforms for future sensing, display-integrated, and neuromorphic systems.

PCB FPGA MCU/MPU Sensor