임영현 교수 연구실
Younghyun Lim
경희대학교 · 전기전자공학과
교수 소개
임영현 교수
교수 홈페이지·논문소개
임영현 교수 연구실(ACHIEVE Lab)은 경희대 전자공학과 소속으로, 아날로그/RF 집적회로를 연구한다. 5G 트랜시버용 RF/아날로그 회로와 IoT용 저전력·소형 RF/아날로그 회로 설계를 다룬다.
연구 키워드
대표 논문
- A Command-Aware Hybrid LDO With Ultra-Small Voltage Droop and Fast Settling Time for Power-Supply-Induced Jitter Mitigation in HBM InterfacesIEEE Journal of Solid-State Circuits (JSSC), Early Access · 2025
- An Area-Efficient CMOS Cross-Coupled LC-VCO Using Nested Intertwined Tail InductorsIEEE Transactions on Circuits and Systems II: Express Briefs · 2025
- A 12.8-15.0-GHz Low-Jitter Fractional-N Subsampling PLL Using a Voltage-Domain Quantization-Error CancellationIEEE Journal of Solid-State Circuits (JSSC) · 2024
- A Wideband LO Generator for 5G FR1 Bands Using a Single LC-VCO-Based Subsampling PLL and a Ring-VCO-Based Fractional-Resolution Frequency MultiplierIEEE Journal of Solid-State Circuits (JSSC) · 2023
- A Wide-Lock-In-Range and Low-Jitter 12-14.5-GHz SSPLL Using a Low-Power Frequency-Disturbance-Detecting and Correcting LoopIEEE Journal of Solid-State Circuits (JSSC) · 2022
- A 170MHz-Lock-In-Range and -253dB-FOMjitter, 12-14.5GHz Subsampling PLL with a 150uW Frequency-Disturbance-Correcting LoopIEEE International Solid-State Circuits Conference (ISSCC) · 2020
같은 학과의 다른 연구실
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5G/6G mobile core network, network automation, mobile edge computing, softwarized networking, electric vehicular networks, mobility management
- 김수완 교수 연구실모집 중
AI-aided design automation (EDA): machine-learning-driven standard-cell synthesis, physical design, and circuit optimization for advanced semiconductor technologies
- 박정환 교수 연구실모집 중
Low-power compact system design beyond ICs: neuromorphic neural interface SoCs, self-powered IoT sensing nodes, chip-to-chip interfaces and design-for-test for 3D ICs
- 박준용 교수 연구실모집 중
Signal and power integrity (SI/PI) for advanced package design
- 신현동 교수 연구실모집 중
Wireless communication, machine intelligence, and quantum information science
- 이승현 교수 연구실모집 중
Nanoelectronic devices and circuits (neuromorphic/brain-inspired computing, resistive memory/ReRAM, processing-in-memory, 2D materials, 3D integration)