AION LAB / KYUNG HEE UNIVERSITY
Yoontae (Jake) Jung (정윤태)
Yoontae (Jake) Jung (정윤태), Assistant Professor at Kyung Hee University and principal investigator of AION Lab.
PRINCIPAL INVESTIGATOR
Yoontae (Jake) Jung
정윤태
Assistant Professor · School of Electronic Engineering · Kyung Hee University
Analog / Mixed-Signal IC · Neural Interface IC · Data Converters · Physical AI Sensor IC · Process-in-Memory
ABOUT
Biography
Yoontae (Jake) Jung (정윤태) is an Assistant Professor in the School of Electronic Engineering at Kyung Hee University and the principal investigator of AION Lab. His research focuses on AI-optimized analog and mixed-signal integrated circuits that bridge real-world sensing with on-chip intelligence.
정윤태 교수는 경희대학교 전자공학부 조교수이자 AION Lab의 책임교수입니다. 아날로그·혼합신호 집적회로, 신경 인터페이스, 온칩 인공지능 회로를 연구합니다.
His work spans neural interface system ICs, high-dynamic-range data converters, ultra-low-power sensor front ends, and mixed-signal compute-in-memory architectures.
EXPERIENCE
Career
School of Electronic Engineering, Kyung Hee University, Korea
imec, Leuven, Belgium · High-density neural recording IC and mixed-signal integration
KAIST IMPACT Lab · Multimodal biosignal sensor interface circuits
FOUNDATION
Education
Analog / Mixed-Signal Integrated Circuits
Minor in Business Management
RECOGNITION
Awards & Honors
- IEEE Solid-State Circuits Society (SSCS) Pre-Doctoral Achievement Award, 2023–2024
- KAIST Best Research Achievement Award (Kim Choong-Ki Award), 2023
- National Government-Funded Graduate Fellowship
SERVICE
Professional Activities
Conference service: Organizing Committee, IEEE Asian Solid-State Circuits Conference (A-SSCC) 2025.
Journal reviewer: IEEE Journal of Solid-State Circuits; IEEE Transactions on Circuits and Systems I and II; IEEE Transactions on Biomedical Circuits and Systems; IEEE Sensors; IEEE Open Journal of Circuits and Systems.
OUTLOOK
Research Vision
AION Lab combines deep analog circuit fundamentals, robust mixed-signal architectures, and intelligent system integration to develop scalable, efficient circuits for neural interfaces, sensor-integrated intelligence, and next-generation AI hardware.