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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.

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  • 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

박사 360 2
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.

교수님 360

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.

 

 

교수님 360
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.

교수님 360 1

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!

교수님360

김정호 교수님 프로필 사진

<Professor Joungho Kim>

 

EE Professor Joungho Kim has been selected as the recipient of the 2025 Kang Dae Won Award in the Circuits and Systems category, in recognition of his contributions to the development of High Bandwidth Memory (HBM).
 
Established to honor the late Dr. Kang Dae Won, the pioneer behind the world’s first MOSFET and floating gate, the Kang Dae Won Award has been recognizing outstanding researchers who continue his legacy since the 24th KCS in 2017.
 
Professor Joungho Kim, often referred to as the “Father of HBM,” is a world-renowned authority in AI semiconductor technology. For over two decades, he has played a pivotal role in leading HBM-related design technologies worldwide. His research in Through-Silicon Via (TSV), interposers, signal integrity (SI), and power integrity (PI) design has been recognized globally for its originality and impact. Notably, since 2010, he has been directly involved in the design and commercialization of HBM, which is credited with enabling the modern AI era.
 
Recently, he has been at the forefront of research on next-generation HBM architectures, including HBM4, HBM5, and HBM6. Furthermore, he is actively working on automating HBM design using artificial intelligence. In particular, he is pioneering research at a global level by integrating reinforcement learning and generative AI to optimize HBM’s electrical and thermal performance, leading advancements in this field.
 
An IEEE Fellow, Professor Kim has been recognized for his significant contributions to the semiconductor industry through research and education. In recognition of his achievements, he has received prestigious awards, including the KAIST Academic Award, KAIST Research Award, KAIST International Collaboration Award, and the IEEE Technical Achievement Award. He has also won over 20 Best Paper Awards at major international conferences, further demonstrating his academic excellence.
 
This award is presented by the Permanent Steering Committee of the Korean Conference on Semiconductors (KCS). The award ceremony will take place in the afternoon of February 13 during the opening session of the 32nd Korean Conference on Semiconductors (KCS 2025) at High1 Grand Hotel in Gangwon-do. The event is co-hosted by the Korea Semiconductor Industry Association (KSIA), the Korea Semiconductor Research Association (KSRA), and DB HiTek.
1정동현 박사360

 

정동현 박사 증명사진

< Dr. Dong-Hyun Jung >

Dr. Dong-Hyun Jung, a graduate of our department’s Intelligent Communication Systems Lab (ICL) under the supervision of Professor Junil Choi, has been appointed as a full-time faculty at the School of Electronic Engineering at Soongsil University, effective March 1, 2025.

 

Dr. Jung obtained his Ph.D. from KAIST in February 2024, specializing in probabilistic modeling and analysis of satellite communication systems. Since 2017, he has been actively engaged in pioneering research and development on satellite communication systems at the ETRI Immersive Communication Research Laboratory, Satellite Communication Research Division.

 

His primary research areas include satellite communication system design and optimization, and he has published numerous papers in prestigious international journals such as IEEE Vehicular Technology Magazine, IEEE Transactions on Wireless Communications, and IEEE Transactions on Communications. In particular, he has developed satellite clustering technology, satellite transmission optimization techniques, and fairness-based non-uniform resource allocation strategies, significantly enhancing satellite communication system performance. Additionally, he has contributed to the 3GPP and ITU-R standardization efforts, playing an active role in establishing international standards for satellite communication technologies.

 

Moving forward, he aims to advance research in next-generation Non-Terrestrial Networks (NTN) and space communication technologies.

 

360
박사
<Dr. Hyeongtaek Lee>

 

Dr. Hyeongtaek Lee, a graduate of the Intelligent Communication Systems Lab. (ICL) in the School of Electrical Engineering (Advisor: Prof. Junil Choi), has been appointed as an Assistant Professor in the Dept. of Electronic and Electrical Engineering at Ewha Womans University, effective March 1, 2025.

 

Dr. Hyeongtaek Lee received Ph.D. degree from the School of Electrical Engineering at KAIST in August 2023, and has since served as a postdoctoral research at Institute of Information Electronics, KAIST. 

 

His primary research focuses on the development of 6G wireless communication systems. He has published papers at top-tier journals such as IEEE TWC and IEEE TCOM, and the excellence and practicality of his research have been recognized through a number of best paper awards and international patent registrations.

 

At Ewha Womans University, he will continue to develop practical algorithms for future wireless communication systems.

360

Dr. Jihoon Sung's photo

<Dr. Jihoon Sung >

 

Dr. Jihoon Sung, a graduate of the Quantum Information and Communications Lab. (QUIC) in the Department of Electrical Engineering at KAIST (Advisor: Prof. June-Koo Rhee), has been appointed as a tenure-track faculty member in the School of Computer and Artificial Intelligence, College of Engineering, Jeonbuk National University, effective March 1, 2025.

 

After earning his Ph.D. from KAIST in August 2016, Dr. Sung worked at Samsung Electronics’ Mobile Experience Business (MX) Division for four years, where he developed and commercialized various network technologies, including wireless network optimization and security solutions utilizing AI/ML technologies. Since September 2020, he has been conducting research at ETRI, focusing on network intelligence, automation, and optimization. His work has also contributed to securing standard-essential patents related to the standard technologies of the 3GPP, a key standardization body in the field of mobile communication technologies.

 

His primary research interests lie in network intelligence and optimization, and he has published multiple papers in renowned international journals, including IEEE TMM.

 

Moving forward, he aims to advance research in network intelligence and high-level network technologies by integrating AI/ML technologies into the networking field.

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