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Yoonmyung Lee

Sungkyunkwan University · Engineering

About the Lab

Professor Yoonmyung Lee's research lab specializes in ultra-low power integrated circuits and systems for wireless sensor networks, with a strong focus on enabling smart dust-scale, energy-autonomous sensor nodes. The lab pioneers innovative architectures in subthreshold and tunneling-based electronics, such as Si/SiGe heterojunction tunneling transistors and self-adapting power management, to achieve extreme energy efficiency. Key research directions include mm³-scale sensor platforms, energy harvesting, and bio-inspired memory systems that emulate human cognitive processes like learning and forgetting.

ultra-low powerwireless sensor nodesenergy harvestingsubthreshold circuitssmart dust

Research Overview

Papers
136
Total Citations
3,762
Papers (5y)
35
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
35total
2022
2023
2024
2025
2026
Citations per year (5y)
276total
20222023202420252026

Selected Papers

15
1
Article|209 citations·2012
A Modular 1 mm ^3 Die-Stacked Sensing Platform With Low Power I ^2 C Inter-Die Communication and Multi-Modal Energy Harvesting
Yoonmyung Lee, Suyoung Bang, Inhee Lee, Yejoong Kim, Gyouho Kim, Mohammad Hassan Ghaed, Pat Pannuto, Prabal Dutta, Dennis Sylvester, David Blaauw
SJR Q1IEEE Journal of Solid-State Circuits

A 1.0 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> general-purpose sensor node platform with heterogeneous multi-layer structure is proposed. The sensor platform benefits from modularity by allowing the addition/removal of IC layers. A new low power I <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> C interface is introduced for energy efficient inter-layer communication with compat

Electrical and Electronic EngineeringEngineering
2
Article|105 citations·2012
A modular 1mm<sup>3</sup> die-stacked sensing platform with optical communication and multi-modal energy harvesting
Yoonmyung Lee, Gyouho Kim, Suyoung Bang, Yejoong Kim, Inhee Lee, Prabal Dutta, Dennis Sylvester, David Blaauw

Wireless sensor nodes have many compelling applications such as smart buildings, medical implants, and surveillance systems. However, existing devices are bulky, measuring >;1cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> , and they are hampered by short lifetimes and fail to realize the “smart dust” vision of [1]. Smart dust requires a mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</s

Electrical and Electronic EngineeringEngineering
3
Article|71 citations·2016
Ultralow Power Circuit Design for Wireless Sensor Nodes for Structural Health Monitoring
Yoonmyung Lee, David Blaauw, Dennis Sylvester
SJR Q1Proceedings of the IEEE

Wireless sensor nodes (WSNs) are essential elements for today's structural health monitoring (SHM). As the design technology for WSNs evolves, there have been continuous efforts to address challenges for WSNs such as short lifetime, high power consumption, and bulky volume. Recent trends show energy harvesting becoming a popular solution for extending the lifetime of WSNs; even implementing energy-autonomous systems is an option. Smaller WSN form factors have been developed for volume-limited ap

Mechanical EngineeringEngineering
4
Article|63 citations·2013
Low-Power Circuit Analysis and Design Based on Heterojunction Tunneling Transistors (HETTs)
Yoonmyung Lee, Daeyeon Kim, Jin Cai, Isaac Lauer, Leland Chang, Steven J. Koester, David Blaauw, Dennis Sylvester
SJR Q2IEEE Transactions on Very Large Scale Integration (VLSI) Systems

The theoretical lower limit of subthreshold swing in mosfets (60 mV/decade) significantly restricts low-voltage operation since it results in a low ON -to- OFF current ratio at low supply voltages. This paper investigates extremely low-power circuits based on new Si/SiGe heterojunction tunneling transistors (HETTs) that have a subthreshold swing of . Device characteristics, as determined through technology computer aided design tools, are used to develop a Verilog-A device model to simulate and

Electrical and Electronic EngineeringEngineering
5
Article|62 citations·2021
Biologically Plausible Artificial Synaptic Array: Replicating Ebbinghaus’ Memory Curve with Selective Attention
Dong Gue Roe, Seongchan Kim, Yoon Young Choi, Hwije Woo, Moon Sung Kang, Young Jae Song, Jong‐Hyun Ahn, Yoonmyung Lee, Jeong Ho Cho
SJR Q1Advanced Materials

The nature of repetitive learning and oblivion of memory enables humans to effectively manage vast amounts of memory by prioritizing information for long-term storage. Inspired by the memorization process of the human brain, an artificial synaptic array is presented, which mimics the biological memorization process by replicating Ebbinghaus' forgetting curve. To construct the artificial synaptic array, signal-transmitting access transistors and artificial synaptic memory transistors are designed

Electrical and Electronic EngineeringEngineering
6
Article|48 citations·2013
A Sub-nW Multi-stage Temperature Compensated Timer for Ultra-Low-Power Sensor Nodes
Yoonmyung Lee, Bharan Giridhar, Zhiyoong Foo, Dennis Sylvester, David B. Blaauw
SJR Q1IEEE Journal of Solid-State Circuits

Accurate measurement of synchronization cycle time is required for ultra-low power wireless sensor nodes with stringent power budgets. A multi-stage gate-leakage-based timer with boosted charging is proposed to address the high jitter of prior-art gate-leakage-based timers. The key approaches are faster load capacitor charging, wider voltage swing, and an improved gain sensing inverter. The proposed timer reduces RMS jitter by 8.1× and synchronization uncertainty by 4.1×, which allows hourly tra

Biomedical EngineeringEngineering
7
Article|45 citations·2011
A 660pW multi-stage temperature-compensated timer for ultra-low-power wireless sensor node synchronization
Yoonmyung Lee, Bharan Giridhar, Zhiyoong Foo, Dennis Sylvester, David Blaauw

Recent work in ultra-low-power sensor platforms has enabled a number of new applications in medical, infrastructure, and environmental monitoring. Due to their limited energy storage volume, these sensors operate with long idle times and ultra-low standby power ranging from 10s of nW down to 100s of pW. Since radio transmission is relatively expensive, even at the lowest reported power of 0.2mW, wireless communication between sensor nodes must be performed infrequently. Accurate measurement of t

Mechanical EngineeringEngineering
8
Article|36 citations·2023
Dual‐logic‐in‐memory implementation with orthogonal polarization of van der Waals ferroelectric heterostructure
Jingjie Niu, Sumin Jeon, Donggyu Kim, Sungpyo Baek, Hyun Ho Yoo, Jie Li, Ji‐Sang Park, Yoonmyung Lee, Sungjoo Lee
SJR Q1InfoMatOA

Abstract The rapid advancement of AI‐enabled applications has resulted in an increasing need for energy‐efficient computing hardware. Logic‐in‐memory is a promising approach for processing the data stored in memory, wherein fast and efficient computations are possible owing to the parallel execution of reconfigurable logic operations. In this study, a dual‐logic‐in‐memory device, which can simultaneously perform two logic operations in four states, is demonstrated using van der Waals ferroelectr

Electrical and Electronic EngineeringEngineering
9
Article|29 citations·2010
A 5.42nW/kB retention power logic-compatible embedded DRAM with 2T dual-Vt gain cell for low power sensing applications
Yoonmyung Lee, Mao-Ter Chen, Junsun Park, Dennis Sylvester, David Blaauw

A logic-compatible 2T dual-Vt embedded DRAM (eDRAM) is proposed for ultra-small sensing systems to achieve 8× longer retention time, 5× lower refresh power and 30% reduced area compared with the lowest power eDRAM previously reported. With an area-efficient single inverter sensing scheme designed for R/W speed compatibility with ultra-low power processors, 58% array efficiency is maintained for memories as small as 2kb and for as few as 32 bits per bitline.

Biomedical EngineeringEngineering
10
Article|16 citations·2010
Ultra-low power circuit techniques for a new class of sub-mm<sup>3</sup> sensor nodes
Yoonmyung Lee, Gregory Chen, Scott Hanson, Dennis Sylvester, David Blaauw

Bell's Law predicts continual reductions in the size of computing systems. We investigate the status of the next paradigm shift that will usher in ubiquitous computing - sub-mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> sensor nodes. However, this form factor remains beyond the capabilities of modern integrated circuit design techniques due to battery size. This paper describes new ultra-low power circuit techniques applied to digital p

Biomedical EngineeringEngineering
11
Article|15 citations·2024
Ferroelectric Stochasticity in 2D CuInP 2 S 6 and Its Application for True Random Number Generator
Seongkweon Kang, Doojin Hong, Biswajit Das, Sang‐Min Lee, Sang‐Min Lee, Ji‐Sang Park, Yoonmyung Lee, Sungjoo Lee, Sungjoo Lee
SJR Q1Advanced Materials

Abstract True random number generators (TRNGs), which create cryptographically secure random bitstreams, hold great promise in addressing security concerns regarding hardware, communication, and authentication in the Internet of Things (IoT) realm. Recently, TRNGs based on nanoscale materials have gained considerable attention for avoiding conventional and predictable hardware circuitry designs that can be vulnerable to machine learning (ML) attacks. In this article, a low‐power and low‐cost TRN

Electrical and Electronic EngineeringEngineering
12
Article|14 citations·2008
Standby power reduction techniques for ultra-low power processors
Yoonmyung Lee, Mingoo Seok, Scott Hanson, David Blaauw, Dennis Sylvester

Standby power can dominate the power budgets of battery-operated ultra-low power processors, and reducing standby power is the key challenge for further power reduction. State-of-the-art ultra low voltage sensors consume hundreds of nW in wake mode and 100 pW or less in standby mode. Therefore, applying known circuit techniques for further standby power reduction is very challenging. In this paper, we extend known standby power reduction techniques for use in ultra-low power processors. In parti

Electrical and Electronic EngineeringEngineering
13
Article|12 citations·2019
An Output Capacitor-Less Low-Dropout Regulator with 0–100 mA Wide Load Current Range
Jihoon Park, Woong-Joon Ko, Dongseok Kang, Yoonmyung Lee, Jung‐Hoon Chun
SJR Q1EnergiesOA

An output capacitor-less low-dropout (OCL-LDO) regulator with a wide range of load currents is proposed in this study. The structure of the proposed regulator is based on the flipped-voltage-follower LDO regulator. The feedback loop of the proposed regulator consists of two stages. The second stage is turned on or off depending on the variation in the output load current. Hence, the regulator can retain a phase margin at a wide range of load currents. The proposed regulator exhibits a better reg

Biomedical EngineeringEngineering
14
Article|10 citations·2013
Circuit and System Design Guidelines for Ultra-low Power Sensor Nodes
Yoonmyung Lee, Dongmin Yoon, Yejoong Kim, David Blaauw, Dennis Sylvester
SJR Q4IPSJ Transactions on System and LSI Design MethodologyOA

Designing an ultra-low power sensor node requires careful consideration of the system-level energy budget. Depending on applications, various components can dominate total energy. In this paper, we review three different system energy budget scenarios where any of the microprocessor, memory, and timer of a sensor node can dominate the energy budget. The design space and corresponding trade-offs for these three components are explored to suggest guidelines for the design of ultra-low power sensor

Electrical and Electronic EngineeringEngineering
15
Article|10 citations·2012
Circuit and system design guidelines for ultra-low power sensor nodes
Yoonmyung Lee, Yejoong Kim, Dongmin Yoon, David Blaauw, Dennis Sylvester

Designing an ultra-low power sensor node requires careful consideration of the system-level energy budget. Depending on applications, various components can dominate total energy. In this paper, we review three different system energy budget scenarios where any of the microprocessor, memory, and timer of a sensor node can dominate the energy budget. The design space and corresponding trade-offs for these three components are explored to suggest guidelines for the design of ultra-low power sensor

Electrical and Electronic EngineeringEngineering

Research Areas

Electrical and Electronic EngineeringBiomedical EngineeringMechanical EngineeringHardware and ArchitectureAerospace EngineeringComputer Networks and Communications

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