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Biography

Yoontae Jung is an Assistant Professor at Kyung Hee University and the PI of AION Lab.
His research focuses on AI-optimized analog and mixed-signal integrated circuits that bridge real-world sensing with on-chip intelligence.

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. He aims to integrate rigorous circuit-level methodologies with scalable AI semiconductor platforms.

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Career

2026 – Present
Assistant Professor, Kyung Hee University (KHU), Korea

2024 – 2026
Full-Time Researcher, imec, Leuven, Belgium

• High-density multi-channel neural recording IC development
• Mixed-signal integration (SAR ADC, reference buffer, LDO)

2024
Post-Doc Researcher, KAIST (IMPACT Lab)

• Multimodal wireless biosignal sensor interface circuits
• Industry-collaborative sensor IC development

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Education

Ph.D., Electrical Engineering
KAIST Specialization: Analog / Mixed-Signal Integrated Circuits

M.S., Electrical Engineering
KAIST

B.S., Electrical Engineering
KAIST Minor: Business Management

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Awards & Honors

• IEEE Solid-State Circuits Society (SSCS) Pre-Doctoral Achievement Award 23-24
• KAIST Best Research Acheivement Award (Kim Choong-Ki Award) 2023
• National Government-Funded Graduate Fellowship (Full Scholarship Support)

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Professional Activities

Conference Service

• Organizing Committee, IEEE Asian Solid-State Circuits Conference (A-SSCC) 2025

Journal Reviewer

• IEEE Journal of Solid-State Circuits (JSSC)
• IEEE Transactions on Circuits and Systems I, II (TCAS-I, II)
• IEEE Transactions on Biomedical Circuits and Systems (TBioCAS)
• IEEE Sensors, IEEE Open Journal of Circuits and Systems (OJCAS), and etc.

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Research Vision

AION Lab seeks to advance the frontier of Analog/Mixed and AI Chip platforms by combining:

• Deep analog circuit fundamentals
• Robust mixed-signal architectures
• Intelligent system-level integration

The lab aims to develop scalable, energy-efficient, and reliable circuit solutions for neural interfaces, sensor-integrated intelligence, and next-generation AI hardware systems.