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School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

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School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

  • 2
  • 6
Learn More
School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

  • 3
  • 6
Learn More
School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

  • 4
  • 6
Learn More
School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

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AI in EE AI and machine learning
are a key thrust
in EE research
AI and machine learning are a key thrust in EE research

AI/machine learning  efforts are already   a big part of   ongoing
research in all 6 divisions - Computer, Communication, Signal,
Wave, Circuit and Device - of KAIST EE 

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Prof. Seunghyup Yoo’s team Develops
Wearable Carbon Dioxide Sensor
to Enable Real-time Apnea Diagnosis​
Read more...
Prof. Choi and Yoon’s
Joint Team Develops
Neuromorphic Semiconductor Chip
that Learns and Corrects Itself​
Read more...
Prof. Jung-Yong Lee’s Team
Develops High-Efficiency
Avalanche Quantum Dots
Read more...
Prof. Junmo Kim’s Team
Develop AI That
Imagines and Understands
How Images Change Like Humans
Read more...
Prof. Hyunjoo J. Lees Team Develops Stretchable
Microelectrodes Array
for Organoid Signal Monitoring
Read more...
Prof. Sanghun Jeon's Team Develops
Hafnia-Based Ferroelectric Memory Technology
Read more...
Minkyu Je’s Team
Develop High-Resolution Bio-Impedance
Technology for Wearable Devices
Read more...
Prof.
Shinhyun Choi’s Team
developed a novel ultra-low power memory
Published in Nature
Read more...
Prof. Hyun Myung’s
‘DreamWaQ’ and ‘CAROS-H’
Features on CNN’s
Tech for Good’
Read more...
Prof. Yun Insu’s Lab
'Team Atlanta'
Advances to Finals of the U.S. DARPA 'AIxCC'
Read more...
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Highlights

360

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2025 KAIST EE Colloquium Lecture Series kicked off on March 13, 2025. The first lecture featured Ms. Hyunjoo Je, Managing Partner at Envision Partners, who delivered a talk on “Mindset of a Venture Capitalist and Entrepreneurship Capturing a Market Opportunity.” Sharing startup stories from an investor point of view, her lecture garnered significant interest from students interested in entrepreneurship.

 

The series will continue with a diverse lineup of distinguished speakers in the field of electrical engineering, including Prof. Young Lee, KAIST Invited Chair Professor and former Minister of SMEs and Startups, as well as Prof. Leong Chuan Kwek, a quantum technology expert from the National University of Singapore.

 

According to Prof. Jinseok Choi, the organizer of the Colloquium Lecture Series, lectures will also feature newly appointed faculty members of School of EE and a professor involved in entrepreneurship. He encouraged active participation from students and faculty members alike.

 

The colloquium lectures are held Thursday at 4:00 PM in Lecture Halls 1 of the Information and Electronics Building (E3-1). (Refer to the poster shown below for full details.)

 

2025 봄학기 콜로키움 포스터 최종 e1741918497376

 

360
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Dr. Joon-Kyu Han

 

Dr. Joon-Kyu Han (Professor Yang-Kyu Choi’s Research Group) Appointed as Assistant Professor in the Department of Materials Science and Engineering at Seoul National University.

 

Dr. Joon-Kyu Han (Advisor: Professor Yang-Kyu Choi) has been appointed as an Assistant Professor in the Department of Materials Science and Engineering at Seoul National University, effective March 1, 2025.

 

During his Ph.D. studies, Dr. Han actively conducted research in the field of semiconductor devices and has published over 90 papers in internationally renowned journals and conferences, including Science Advances, Advanced Science, Advanced Functional Materials, Nano Letters, and IEDM.

 

After obtaining his Ph.D. in February 2023, Dr. Han held positions as a postdoctoral researcher at the Inter-University Semiconductor Research Center (ISRC) at Seoul National University, a visiting researcher at Harvard University, and an assistant professor in the Department of System Semiconductor Engineering at Sogang University.

 

His primary research interests lie in next-generation logic, memory, and neuromorphic semiconductor devices.

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Professor Si-Hyeon Lee

Professor Si-Hyeon Lee has been appointed as an Associate Editorof IEEE Transactions on Information Theory, the most prestigious journal in the field of information theory. Founded in 1953, IEEE Transactions on Information Theory is one of the oldest journals in the IEEE and serves as a leading platform for theoretical research on the representation, storage, transmission, processing, and learning of information. The journal particularly focuses on publishing research that explores fundamental principles and applications across various domains, including communications, compression, security, machine learning, and quantum informationAs an Associate Editor, Professor Lee will play a pivotal role inmanaging the peer review process and shaping the academic direction of the journal, making significant contributions to the advancement of the field. Notably, this appointment marks only the fourth time in over 70 years since the journal’s inception that a researcher affiliated with a Korean university has been selected for this role, highlighting Professor Lee’s outstanding research achievements and international academic contributions.

 

Professor Lee’s primary research areas include the study of information-theoretic performance limits and the development of optimal schemes in communication, statistical inference, and machine learning, contributing to the theoretical foundations of next-generation communication and intelligent systems. Additionally, Professor Lee has served as a Technical Program Chairfor the IEEE Information Theory Workshop, a major international conference in information theory, and has been actively engaged as an IEEE Information Theory Society Distinguished Lecturer, disseminating the latest research trends to the academic community.

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신태인 박사의 증명사진
<Dr. Taein Shin>
Dr. Taein Shin from Professor Jeongho Kim’s research lab has been selected as a recipient of the ‘Best Paper Award’ at ‘DesignCon 2025,’ a prestigious international conference in semiconductor design.
 
Dr. Shin had previously won the same award at ‘DesignCon 2022’ three years ago. At that time, Professor Jeongho Kim’s research lab (KAIST TERA Lab) gained significant attention from industry and academia as four of its students, including Dr. Shin, Seongguk Kim, Seonguk Choi, and Hyeyeon Kim, were honored with the Best Paper Award, which was given to only eight recipients among all submitted papers.
 
‘DesignCon’ is a globally recognized international conference in semiconductor and package design. Each year, researchers and engineers from leading global tech companies such as Intel, NVIDIA, Google, Micron, Rambus, Texas Instruments (TI), AMD, IBM, and ANSYS, as well as students from renowned universities worldwide, participate in this conference held in Silicon Valley, USA.
 
‘DesignCon’ calls for paper abstracts at the end of June each year and conducts a rigorous review process until the end of December. The submitted papers predominantly focus on practical technologies closely related to industry applications or those that can be directly implemented in products.
 
Among all submitted papers, only up to 20 are shortlisted as Best Paper Award nominees. The authors of these nominated papers must attend the conference in person and deliver a 45-minute oral presentation, after which a strict evaluation process determines the final eight recipients of the Best Paper Award.
 
Dr. Shin attended the ‘DesignCon 2025’ international conference, which was held in San Jose, Silicon Valley, from January 28 for three days. He presented his research alongside fellow KAIST TERA Lab members—Hyeyeon Kim, a Ph.D. student, and Hyunjun Ahn, an M.S. student—who were also nominated for the Best Paper Award.
 
A TERA Lab representative stated, “Dr. Shin’s paper was selected from over 100 papers accepted by the conference in late 2024. His contribution to technological innovation in the field was highly regarded by the judging panel.”
 
Dr. Shin’s paper, titled “PSIJ-Based Integrated Power Integrity Design for HBM Using Reinforcement Learning: Beyond the Target Impedance,” introduces a methodology that optimizes power integrity design for high-bandwidth memory (HBM) packages. His approach utilizes power supply noise-induced jitter (PSIJ) as a criterion, incorporating AI to optimize design parameters affecting jitter, drawing significant attention from the academic and industrial communities.
 
The TERA Lab representative further emphasized, “Dr. Shin’s research received high praise from the judges for overcoming the limitations of traditional impedance-based power delivery network (PDN) design by leveraging reinforcement learning and power supply noise jitter. The originality of applying AI to this field was also highly rated.”
 
Dr. Shin stated, “As next-generation HBM-based package systems continue to advance in speed to support large-scale AI implementations, I aim to establish a foundation for semiconductor signal and power integrity design based on the proposed methodology.”
 
Meanwhile, as of March 2025, Professor Jeongho Kim’s research lab comprises 27 students, including 17 master’s and 10 Ph.D. candidates. The lab is conducting research on optimizing various semiconductor package and interconnection designs in both front-end and back-end processes using AI and machine learning techniques such as reinforcement and imitation learning. Additionally, the lab is actively researching HBM-based computing architectures for large-scale AI implementations. 
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김병수 박사 증명사진
<Dr. Byeongsu Kim>

 

Dr. Byeongsu Kim, a graduate of the Advanced Devices for Energy Conversion (ADEC) Lab (advisor: Prof. Jung-Yong Lee), has been appointed as an assistant professor in the School of Electrical and Electronic Engineering at the University of Ulsan, effective March 1, 2025.

 

Dr. Kim received his Ph.D. from the School of Electrical Engineering at KAIST in August 2023 and has since been working as a research fellow at the Information and Electronics Research Institute of KAIST.

 

His primary research focuses on the development of novel quantum dot-based high-performance solar cells and infrared sensors. His outstanding achievements have been recognized through multiple publications in top-tier international journals, including Nature Energy and Nature Nanotechnology. He was also granted the Sejong Science Fellowship by the National Research Foundation of Korea.

 

Building on this foundation, Dr. Kim plans to further advance cutting-edge electronic devices, such as quantum qubits and healthcare technologies, utilizing quantum dot semiconductors, with a strong commitment to securing core technologies in these fields.

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이정용 교수 연구팀 단체사진

<(From left) Professor Jung-Yong Lee, Ph.D. candidate Yun Hoo Kim and Dr. Byeongsu Kim>

 

In a significant breakthrough for quantum technology, KAIST researchers have developed an advanced avalanche multiplication technology using colloidal quantum dots (CQDs). This innovation addresses key limitations in avalanche photodiode (APD) devices, which are crucial for applications such as quantum computing, night vision, autonomous vehicles, and space observation. *Avalanche Photodiode Devices: APD devices using crystalline semiconductors have long been employed to detect extremely faint light. However, these conventional devices suffer from high thermal noise, requiring cryogenic cooling, and lack materials with high detection efficiency in the infrared spectrum. These challenges have restricted their practicality for quantum communication and infrared sensing applications.

 

EE research team led by Professor Jung-Yong Lee has successfully developed an avalanche charge multiplication technology utilizing colloidal quantum dots (CQDs). This technology achieves 85-fold electron generation from a single infrared photon absorption, surpassing the limitations of conventional techniques. *Avalanche Charge Multiplication: A signal amplification method where electrons in a semiconductor, subjected to a strong electric field, gain kinetic energy and collide with adjacent atoms, generating additional electrons.

 

Colloidal quantum dots (CQDs), chemically synthesized semiconductor nanoparticles, are emerging as promising candidates for next-generation infrared sensors due to their solution processability and facile bandgap tunability. Unlike tranditional crystalline semiconductors, CQDs possess a unique energy structure that effectively suppresses thermal noise. However, their low charge mobility and high charge recombination rates due to surface bonds often degrade charge extraction efficiency.

 

The research team addressed these challenges by applying a strong electric field to accelerate electrons, gaining kinetic energy and generating additional electrons through a cascading process in neighboring quantum dots. This led to an 85-fold signal amplification under infrared irradiation at room temperature and the developed CQD-based photodetector achieved a specific detectivity of over 1.4×10¹⁴ Jones, surpassing the sensitivity of standard night vision devices by tens of thousands of times.

 

fIGURE1

<Figure 1. Schematic illustration of avalanche charge amplification mechanisms

in quantum dot devices and the specific detectivity performance of the quantum dot-based avalanche photodiode.>

 

Infrared photodetectors are essential for a wide range of applications, including autonomous vehicles, quantum computing, and advanced medical imaging. However, traditional quantum dot-based technologies have long been limited by low sensitivity and high noise.

 

This research represents a paradigm-shifting technological advance, establishing a strong foundation for South Korea to lead the global quantum technology market by securing core innovations in quantum sensing and infrared detection.

 

Dr. Byeongsu Kim, the first author of the study, emphasized the groundbreaking nature of this work: “The quantum dot avalanche device is an entirely novel research area, never previously reported. This foundational technology has the potential to drive ventures that will lead the global markets in autonomous vehicles, quantum computing, and medical imaging.”

 

Dr. Byeongsu Kim from KAIST’s Information and Electronics Research Institute, Dr. Sang Yeon Lee from IMEC, and Dr. Hyunseok Ko from the Korea Institute of Ceramic Engineering and Technology contributed as co-first authors of the study. Their findings was published in Nature Nanotechnology on December 18, under the title: “Ultrahigh-gain colloidal quantum dot infrared avalanche photodetectors” (DOI: 10.1038/s41565-024-01831-x).

 

This research was supported by the National Research Foundation of Korea, including Nano-Material Technology Development Program, Strategic Research Laboratory Program for Future Displays, and Individual Basic Research Program.

 

 

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유승협 교수가 연구팀과 연구성과물을 들고 기념촬영을 하고 있다
<(From the left) The School of Electrical Engineering, Ph.D. candidate DongHo Choi, Professor Seunghyup Yoo, and Department of Materials Science and Engineering, Bachelor’s candidate MinJae Kim >

Carbon dioxide (CO2) is a major respiratory metabolite, and continuous monitoring of CO2 concentration in exhaled breath is not only an important indicator for early detection and diagnosis of respiratory and circulatory system diseases, but can also be widely used for monitoring personal exercise status. KAIST researchers succeeded in accurately measuring CO2 concentration by attaching it to the inside of a mask.

 

EE Professor Seunghyup Yoo’s research team in the School of  Electrical Engineering have created a breakthrough wearable CO2 sensor. This new device enables real-time breath monitoring while maintaining low power consumption and high-speed performance.

 

Traditional non-invasive CO2 sensors have been hampered by their bulky size and high power requirements. While optochemical sensors that use fluorescent molecules offer promising advantages in terms of size and weight, they also face a significant challenge: the fluorescent dyes tend to degrade over time when exposed to light. This instability has limited their practical use in wearable healthcare devices. As these optochemical sensors work by measuring changes in fluorescence intensity, which decreases with CO2 concentration, the key to their effectiveness lies in accurately detecting these fluorescence variations over a sufficiently long period of time.

 

To address these challenges, the research team engineered a low-power CO2 sensor that incorporates an organic photodiode that surrounds an LED. This design greatly enhances light collection efficiency and minimizes the exposure of fluorescent molecules to excitation light for a given level of signal. As a result, the device achieves power consumption of just 171 μW, which is substantially lower than the several milliwatts consumed by existing optochemical CO2 sensors.

 

 

images 000090 Image 01
< Figure 1. Structure and operating principle of the developed optochemical carbon dioxide (CO2) sensor. Light emitted from the LED is converted into fluorescence through the fluorescent film, reflected from the light scattering layer, and incident on the organic photodiode. CO2 reacts with a small amount of water inside the fluorescent film to form carbonic acid (H2CO3), which increases the concentration of hydrogen ions (H+), and the fluorescence intensity due to 470 nm excitation light decreases. The circular organic photodiode with high light collection efficiency effectively detects changes in fluorescence intensity, lowers the power required light up the LED, and reduces light-induced deterioration. >

 

The research team further elucidated the photodegradation path of fluorescent molecules used in CO2 sensors. They uncovered the cause of the increase in error rates over time in photochemical sensors, and proposed an optical design method to mitigate these errors.

 

Building on these insights, the research team developed a sensor that significantly reduces errors caused by photodegradation, a persistent issue with previous photochemical sensors. Impressively, the new sensor maintains continuous functionality for up to nine hours—far surpassing the 20-minute lifespan of existing technologies—and can be reused multiple times simply by replacing the CO2-detecting fluorescent film.

 

images 000090 image 02 900
< Figure 2. Wearable smart mask and real-time breathing monitoring. The fabricated sensor module consists of four elements (①: gas-permeable light-scattering layer, ②: color filter and organic photodiode, ③: light-emitting diode, ④: CO2-detecting fluorescent film). The thin and light sensor (D1: 400 nm, D2: 470 nm) is attached to the inside of the mask to monitor the wearer’s breathing in real time. >

The newly developed sensor, which is lightweight (0.12 g), thin (0.7 mm), and flexible, was effectively integrated inside a face mask. It boasts fast response times and high resolution, enabling it to monitor respiratory rates by distinguishing between inhalation and exhalation in real-time.

 

마스크 내부에 연구팀이 개발한 센서를 부탁한 사진
< The developed sensor attached to the inside of the mask >

 

Professor Seunghyup Yoo commented, “The low power consumption, high stability, and flexibility of the developed sensor make it highly suitable for wearable devices. It holds great potential for the early diagnosis of various conditions, including hypercapnia, chronic obstructive pulmonary disease, and sleep apnea.” He also highlighted its utility in environments with high dust levels or where masks are worn for extended periods, such as during seasonal changes, noting its potential to alleviate the side effects caused by rebreathing.

 

This groundbreaking research was conducted with the involvement of Minjae Kim, an undergraduate student from Department of Materials Science and Engineering, and Dongho Choi, a doctoral student from the School of Electrical Engineering, as joint first authors, and published in the online version of Cell’s sister journal, Device, on the 22nd of last month. (Paper title: Ultralow-power carbon dioxide sensor for real-time breath monitoring) DOI: https://doi.org/10.1016/j.device.2024.100681

 

This study was supported by the Ministry of Trade, Industry and Energy’s Materials and Components Technology Development Project, the National Research Foundation of Korea’s Original Technology Development Project, and the KAIST Undergraduate Research Participation (URP) Project.

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이영주 교수님 프로필 사진

<Professor Youngjoo Lee>

 

We are pleased to announce that Professor Youngjoo Lee will be joining our department as of February 16, 2025. Congratulations! 

 

For your reference, Professor Youngjoo Lee’s temporary office is located in Saeneul Dong (E3-4), Room 1408. 

 

Professor Lee’s research focuses on cutting-edge digital system semiconductor designs, including: 

– Embedded processor architecture

– High-performance SoC design

– Extremely-efficient VLSI signal processing

– Application-specific computer system

 

For more details on Professor Lee’s research, please refer to the following website: 

[Website Link] https://sites.google.com/view/epiclab

 

Once again, we sincerely congratulate Professor Youngjoo Lee on his appointment!

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