AION LAB / KYUNG HEE UNIVERSITY
Research
Circuits that connect real-world signals to useful on-chip intelligence.
OUR FOCUS
From sensing to silicon intelligence.
Our research spans analog and mixed-signal integrated circuits, neural interface systems, physical AI sensor ICs, and processing in memory. We bring circuit-level rigor to systems designed for the real world.
Neural Interface
System IC
Integrated circuits for high-fidelity interaction with the nervous system.
- High-density, multi-channel neural recording ICs
- Artifact-tolerant, wide-dynamic-range front ends
- Recording, stimulation, and closed-loop architectures
Sensor Interface ICs
for Physical AI
Low-power sensing circuits that connect physical signals to intelligent systems.
- Multimodal wireless biosignal interfaces for wearable robotics
- Ultra-low-power sensing SoCs
- Interference-tolerant acquisition circuits
Data Converters
for Bio & Sensor Readout
Robust architectures that preserve signal quality from challenging sensors.
- ΔΣ ADC, noise-shaping SAR, and time-based readout
- Dynamic-range enhancement
- Noise-shaping techniques for reliable acquisition
Process-in-Memory &
Compute-in-Memory
Energy-efficient computation placed closer to where data is created.
- Mixed-signal PIM and CIM for edge intelligence
- Co-design of sensing and on-chip computation
- Robust operation under circuit non-idealities
SELECTED WORK
Projects.
K-온디바이스 AI 반도체 기술 개발 사업
5나노 이하 온디바이스 AI 반도체를 위한 고신뢰성 IP 기술개발
High-density multi-channel neural recording IC, including SAR ADC, reference buffer, and LDO.
Multimodal wireless sensor interface circuits and flexible biosignal sensors (project lead).
Sub-aF capacitive sensor interface for E-Nose and drift compensation techniques.