Home

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.

  • 1
  • 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.

  • 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.

  • 5
  • 6
Learn More
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 

  • 6
  • 6
Learn More
Previous slide
Next slide

Highlights

썸네일2 1

장학생 사진

<(from left) M.S. Candidate Geon-Hyeong Kang, Yooseung Wang, Jiwon Choi and Ph.D. candidate Jiwan Kim >

 

M.S. Candidate Geon-Hyeong Kang(Prof. Sanghun Jeon), Yooseung Wang(Prof. Changick, Kim), Jiwon Choi(Prof. Hoi-Jun, Yoo) and

Ph.D. Candidate Jiwan Kim(Prof. Ian Oakley), Beomseok Oh(Prof. Yongdae, Kim) were selected as the 1st Presidential Science Scholarship for Graduate Students.

 

The final selected  Presidential Science Scholarship recipients will be awarded a scholarship certificate in the president’s name.

Master’s students will receive 1.5 million won per month (18 million won per year, maximum 36 million won), and

Doctoral students will receive 2 million won per month (24 million won per year, maximum 96 million won)

 

This year’s selection competition rate was 25:1 with a total of 2,980 applicants.

썸네일 4
[Professor Sung-Ju Lee Laboratory, “Healthy diet in digital buffet” receives ACM CHI Best Paper Honorable Mention Award for preventing negative effects of Mukbang and cooking shows on patients with eating disorders]
 
Inline image 2024 05 07 11.20.03.749
<(from left) Professor Sung-Ju Lee, ph.d. candidate Ryuhaerang Choi, MS candidate Subin Park, Ph.d. candidate Sujin Han>
 
Professor Sung-Ju Lee’s research team has presented their paper titled “FoodCensor: Promoting Mindful Digital Food Content Consumption for People with Eating Disorders” at the international conference CHI in the field of Human-Computer Interaction. The paper introduces a real-time intervention system designed to prevent the detrimental effects of digital food content consumption among individuals with eating disorders. Their work was awarded the Honorable Mention for Best Paper at the conference.
 
According to recent studies, various food-related contents have been found to be addictive, with visually appealing presentations, immersive experiences, and auditory stimuli contributing to cravings and reinforcing unhealthy eating habits beyond addiction. While for some, eating is a natural act, individuals with eating disorders struggle daily against the allure of unhealthy eating habits. Particularly sensitive and vulnerable to addictive food-related content, these individuals may see their disorder symptoms worsen due to such content.
 
In response to these concerns, Professor Sung-Ju Lee and his research team have developed FoodCensor, a system to mitigate the detrimental impacts of digital food content in YouTube on people with eating disorders on mobile and personal computers. Drawing inspiration from the Dual Systems Theory in psychology, this system is designed to tear off the potential connection between digital food content and eating disorders. The theory posits two decision-making systems: System 1, which operates fast and automatically, and System 2, which engages in slower, more thoughtful judgments.
 
 
 
Inline image 2024 05 07 11.16.25.264
<Figure 1. Example of real-time food content censorship and intervention in Youtube mobile application of the system>
 
 
Inline image 2024 05 20 09.50.17.101
<Figure 2. The system ① reduces the influence of stimuli by screening digital food content, ② encourages users to transition from system 1 automatic responses to system 2 conscious evaluations by revealing screened content through immediate questioning when users desire to view it, and ③ promotes conscious and healthy content consumption by providing negative impacts of eating disorder behaviors along with questions to increase the expected value of control>
 
Based on this theory, the system aims to enable users to make more conscious evaluations and decisions when consuming food content on social media. Visual and auditory stimuli associated with digital food content may trigger automatic responses (System 1; e.g., reflexively watching content). However, the system blocks these automatic responses by hiding food content in real-time and muting it, activating System 2 by providing users with reflective prompts to encourage conscious content selection and consumption.
 
The research team conducted a three-week user study involving 22 participants with eating disorders to evaluate the system. The experimental group showed a significant reduction in exposure to food content on YouTube, affecting the platform’s content recommendation algorithm. Experimental group participants acknowledged the system’s role in inhibiting automatic reactions and promoting System 2 control. User feedback indicated that the system alleviated food-related obsessions in daily life and improved overall quality of life.
 
Building on these findings, the research team proposed adaptive intervention design directions to support healthy digital content consumption and user-centric content management methods that promote intentional behavior changes beyond content censorship.
 
Lead author Ryuhaerang Choi (PhD Candidate) and co-authors Subin Park (MS Candidate), Sujin Han (PhD Candidate), and Professor Sung-Ju Lee participated in this study. The research was presented at the ACM Conference on Human Factors in Computing Systems (CHI) in Hawaii in May. (Paper Title: FoodCensor: Promoting Mindful Digital Food Content Consumption for People with Eating Disorders) and has won the Best Paper Honorable Mention Award.
 
This technology could be applied to contents beyond food, such as violence and explicit contents, and thus, could be widely deployed.
 
This work was supported in part by the Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) (No. 2022-0-00064, Development of Human Digital Twin Technologies for Prediction and Management of Emotion Workers’ Mental Health Risks).
 
 
 
썸네일 3

Doctoral students Seonjeong Lee and Dongho Choi from Professor Seunghyup Yoo’s research lab have won the Best Presentation Paper Award and the Excellent Presentation Paper Award, respectively

Inline image 2024 05 08 13.18.45.008

<(from left) Professor Seunghyup Yoo, ph.d. candidate Seonjeong Lee , ph.d. candidate Dongho Choi>
 

Our department’s doctoral students Seonjeong Lee and Dongho Choi from Professor Seunghyup Yoo’s research lab have won the Best Presentation Paper Award and the Excellent Presentation Paper Award, respectively, at the 2024 Spring Conference of the Korean Sensors Society.

The Spring Conference of the Korean Sensors Society is held annually in the spring, and this year’s conference took place from April 29 to 30 at the Daejeon Convention Center (DCC).

Doctoral students Choi Dongho and Lee Seonjeong presented papers titled “Vertically stacked organic pulse oximetry sensors with low power consumption and high signal fidelity” and “Micro-scale Pressure Sensor Based on the Gradual Electric Double Layer Modulation Mechanism,” respectively. 

The details are as follows:

 

0 Conference: 2024 Spring Conference of the Korean Sensors Society

0 Date: April 29-30, 2024

0 Award title: Best Presentation Paper Award

0 Authors: Sun-jeong Lee, Sang-hoon Park, Hae-chang Lee, Han-eol Moon, Seung-hyup Yoo (advisor)

0 Paper: Micro-scale Pressure Sensor Based on the Gradual Electric Double Layer Modulation Mechanism

0 Award title: Excellent Presentation Paper Award

0 Authors: Dong-ho Choi, Chan-hwi Kang, Seung-hyup Yoo (advisor)

0 Paper: Vertically stacked organic pulse oximetry sensors with low power consumption and high signal fidelity

 

Inline image 2024 05 07 16.27.35.812

B.S. Candidate Do A Kwon (Prof. Jae-Woong Jeong) wins Outstanding Poster Award at the 2024 Spring Conference of The Korean Sensors Society & Sensor Expo Korea-Forum

 

Inline image 2024 05 07 16.24.45.825

<B.S. Candidate Do A Kwon>
 

B.S. student Do A Kwon (Advised by Jae-Woong Jeong) won the Outstanding Poster Award at the 2024 Spring Conference of The Korean Sensors Society & Sensor Expo Korea-Forum. 

 

The Conference of the Korean Sensors Society is held biannually in spring and fall. This spring, it was held at the Daejeon Convention Center (DCC) from April 29 to 30th.

Do A Kwon, an undergraduate student, published a paper titled “Body-temperature softening electronic ink for additive manufacturing of transformative bioelectronics via direct writing” and was selected as the winner in recognition of her excellence.

 

The paper introduces body-temperature softening electronic ink that can be patterned in high resolution.

It is expected to open unprecedented possibilities in personalized medical devices, wearable electronics, printed circuit boards, soft robots, and more, pushing the existing limitations in electronic devices with fixed form factors.

 

0 Conference: 2024 Spring Conference of The Korean Sensors Society 

0 Date: April 29-30, 2024

0 Award: Outstanding Poster Award

0 Authors: Do A Kwon, Simok Lee, Jae-Woong Jeong (Advisory Professor)

0 Paper Title: Body-temperature softening electronic ink for additive manufacturing of transformative bioelectronics via direct writing 

 

Inline image 2024 05 07 16.27.35.812

<(from left) Professor Jae-Woong Jeong, Do A Kwon>

 

섬네일 66332a8fd5b25

EE Professor Joung-Ho Kim Establishes NAVER-Intel-KAIST AI Joint Research Center(NIK AI Research Center) for the Development of Next-Generation AI Semiconductor Eco-System

Inline image 2024 04 30 13.39.42.721 1

<MoU Singing Ceremony of Joint Research Center>
 
As generative AI, sparked by ChatGPT, sweeps the globe, Professor Joung-Ho Kim(KAIST), is joining forces with Naver and Intel to consolidate their capabilities and strengths in the new “NAVER·Intel·KAIST AI Joint Research Center (NIK AI Research Center)” to establish an ecosystem for new AI semiconductors.
 
Industry professionals view the strategic partnership between these three institutions as a proactive challenge to establish a new AI semiconductor ecosystem and secure market and technological leadership. They aim to integrate their individual hardware and software technologies and infrastructures in AI, including the development of open-source software necessary for the operation of AI semiconductors, AI servers, and data centers.
In particular, it is noteworthy that Intel, a global semiconductor company known for advanced CPU design and foundry capabilities, is establishing and supporting a joint research center at a domestic university—KAIST—for the first time. This initiative aims to develop open-source software and other necessary tools to optimally operate Intel’s AI semiconductor, “GAUDI”, marking a significant step beyond traditional central processing units (CPUs).
KAIST announced on the 30th that it has signed a Memorandum of Understanding (MOU) to establish and operate the “NAVER·Intel·KAIST AI Joint Research Center (NIK AI Research Center)” at its main campus in Daejeon. This collaboration with Naver Cloud, led by CEO Yu-won Kim, focuses on developing advanced open-source software aimed at enhancing the performance and optimizing the operation of AI semiconductors, AI servers, clouds, and data centers.
A KAIST representative emphasized the significance of Intel’s decision, stating, “It is of great strategic importance that Intel has chosen Naver and KAIST as partners for the development of open-source software in the fields of AI and semiconductors.“
 
The representative further detailed, “The combination of Naver Cloud’s excellence in computing, databases, and various AI services based on the NAVER Cloud Platform, Intel’s next-generation AI chip technology, and KAIST’s world-class expertise and software research capabilities, is expected to successfully create a distinctively creative and innovative ecosystem in the AI semiconductor sector.”
At the MOU signing ceremony, key KAIST officials including President Kwang-Hyung Lee, Provost and Executive Vice President Gyun-Min Lee, Senior Vice President for Research Sang-yup Lee, and Professor Joung-Ho Kim from the Department of Electrical Engineering were present. From Naver Cloud, key executives such as CEO Yu-won Kim, Head of AI Innovation Jung-Woo Ha, and Executive Officer Dong-soo Lee, responsible for Hyperscale AI, also attended.
 
Following the MOU signing, KAIST and Naver Cloud plan to establish the “NAVER·Intel·KAIST AI Joint Research Center (NIK AI Research Center)” at KAIST within the first half of the year. They are scheduled to commence full-scale research activities starting in July.
At KAIST, Professor Joung-Ho Kim of the Department of Electrical Engineering, recognized globally as a leading scholar in AI semiconductor design and AI application design (AI-X), will co-lead the NIK AI Research Center. From Naver Cloud, Executive Officer Dong-soo Lee, an expert in AI semiconductor design and AI software, will serve as the other co-director of the center. Additionally, Professor Min-hyuk Sung from the KAIST Department of Computer Science and Naver Cloud’s Leader Se-jung Kwon will each serve as deputy directors, collaboratively steering the center’s research initiatives.
 
The operation period of the joint research center is initially set for three years, with the possibility of extension based on research outcomes and the needs of the participating institutions. As a key research center, about 20 faculty members specializing in artificial intelligence and software from KAIST, along with approximately 100 master’s and doctoral students, will participate as researchers, ensuring the center is equipped with substantial expertise and innovation capacity.
During the initial two years, the joint research center will focus on establishing a platform ecosystem specifically for the AI training and inference chip, “GAUDI”, developed by Intel’s Habana Labs. To achieve this, approximately 20 to 30 collaborative industry-academic research projects will be conducted.
 
Research at the joint research center primarily focuses on the development of open-source software in fields such as natural language processing, computer vision, and machine learning. Of the center’s research efforts, 50% is devoted to autonomous subject research, while 30% and 20% of the efforts are allocated to studies on the miniaturization and optimization of AI semiconductors, respectively.
To facilitate this research, Naver and Intel will provide the “GAUDI 2”—based on the Naver Cloud Platform—to the KAIST Joint Research Center. In turn, the KAIST research team will utilize “GAUDI 2” for their studies and annually publish their findings and papers related to this work.
 
Additionally, beyond their existing capabilities in artificial intelligence and cloud technologies, Naver and Intel will share various infrastructure facilities and equipment necessary for joint research. They also plan to engage in numerous collaborative activities, including supporting the joint research center with the necessary space and administrative staff and facilitating the exchange of research personnel between the institutions. This comprehensive support is designed to enhance the effectiveness and impact of their cooperative efforts.
Professor Joung-Ho Kim of highlighted the significant benefits of the joint research center, stating, “KAIST can acquire technical know-how in AI development, semiconductor design, and operational software development through the use of the GAUDI series. Particularly, the establishment of this joint research center is highly meaningful as it allows us to gain experience in operating large-scale AI data centers and to secure the AI computing infrastructure needed for future research and development.”
Director Dong-soo Lee from Naver Cloud expressed his aspirations for the collaboration: “Naver Cloud looks forward to leading various research initiatives with KAIST and expanding the AI ecosystem centered around HyperCLOVA X. Through the joint research center, we hope to invigorate AI research in the country and enhance the diversity of the AI chip ecosystem.” 
 
[ Terminologies ]
* Generative AI
: Artificial intelligence technology that uses deep learning models to learn from large datasets. It can actively generate outputs such as text, images, and videos based on user requests.
** GAUDI
: A general-purpose AI accelerator for data centers, developed by Habana Labs, an Israeli AI chip company acquired by Intel in 2019.
*** High Bandwidth Memory (HBM)
: A high-performance DRAM technology where multiple DRAM chips are interconnected using Through Silicon Vias (TSVs) to significantly enhance data processing speeds. It is primarily used in conjunction with GPUs to accelerate AI training and generation speeds. Characteristically, HBM is designed to maximize memory bandwidth, making it especially suitable for high-speed parallel processing. It is a critical semiconductor in AI computers installed in mega-scale generative AI data centers. The technology has evolved through several generations: HBM, HBM2, HBM2E, HBM3, and the current HBM3E. Companies like Samsung Electronics and SK Hynix are currently developing HBM4, which is used in GPU modules by NVIDIA, Intel, and AMD.
 

 

썸네일2 2

EE Ph.D. candidate Subin Oh (Prof. Jae-Woong Jung) wins Best Paper Award at SPIE Smart Structures + NDE 2024                 

  Inline image 2024 04 25 13.51.35.243

<(From left) Ph.D. candidate Subin Oh, Award Certificate>

 

Ph.D. student Subin Oh (Advised by Jae-Woong Jeong) won the Best Paper Award at SPIE Smart Structures + NDE 2024.

The SPIE Smart Structures + NDE brings together engineers and researchers as they share important advances that help move multifunctional materials, sensor systems, and structural health monitoring technologies into the future. 

This conference was held from March 25 to 28 in Los Angeles, USA with over 450 papers presented. Ph.D. student Subin Oh presented the paper titled “Shape morphing magnetic materials using liquid metal for 3D electronics and soft robots”.

 

GLhMuWRa0AAY7EI

Professor Hoirin Kim’s research team wins ‘Best Student Paper Award’ at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

연구팀

<(From left) Certificate of Award, Award ceremony, PhD candidate Kangwook Jang (first author), PhD candidate Sungnyun Kim>
 
The research team of Prof. Hoirin Kim from our school has won the Best Student Paper Award at the IEEE International Conference on Acoustics, Speech, and Signal Processing, one of the top-tier international signal, speech, and acoustics conferences. This honor is only given to the top five papers from academic institutions out of 5,576 submitted papers.
 
The research team, consisting of Kangwook Jang (first author) from the School of Electrical and Electronic Engineering, Sungnyun Kim from the Graduate School of AI, and Professor Hoirin Kim, won the Best Student Paper Award by proposing a new distillation loss function for compressing of speech self-supervised learning (speech SSL) models using the speech temporal relation as a new distillation loss function.
 
Although speech self-supervised learning models perform well on various speech tasks such as speech recognition and speaker verification, it is still not sufficient for practical scenarios, such as on-device application, due to the very large number of parameters. Therefore, there has been a lot of researches on compression to reduce the number of parameters of these models through knowledge distillation (KD). However, most of the current techniques directly match the teacher’s speech representation to the student, which is over-constraint for students with weak model representation.
 
Untitled
<Schematic diagram of the speech temporal relation loss function proposed by Prof. Hoirin Kim’s research team>
 
Prof. Hoirin Kim’s research team has explored various objectives to express the temporal relation between speech frames and proposed a loss function suitable for speech self-supervised learning models. The compressed student model is validated on a total of 10 speech-related tasks, and it performs the best among the models that compressed the parameters by about 30%.
 
This research was supported by the National Research Foundation of Korea grant funded by Korea government.
 
 

 

썸네일2 1

Professor Kyeongha Kwon’s Research Team Develops a Bioelectronic System for Monitoring Bladder Function After Surgery Using Electronic Sensors

 

images 000076 photo1.jpg 6

<(from left) Professor Kyeongha Kwon, Doyun Park (Master’s student), Dr. Jihye Kim from Nothwestern University>
 
 
A bioelectronic system has been developed to safely monitor bladder function without the need for catheter insertion in patients who have undergone cystectomy, making it a topic of interest.

 *A catheter is a thin tube made of rubber or metal that is inserted into the bladder.

The research team led by Professor Kyeongha Kwon from the School of Electrical Engineering at KAIST announced on the 16th that they have developed digital healthcare technology that accurately measures the size and pressure changes of the bladder through joint research with Dr. Jihye Kim from Northwestern University in the United States.

Partial cystectomy* requires a long recovery period, during which the urinary tract’s ability to expel urine externally is intermittently assessed through urodynamic studies** (UDS). However, UDS is not patient-friendly, results can vary among users, and it is limited in its ability to collect continuous data. Furthermore, it can lead to the risk of catheter-associated urinary tract infections and, in high-risk patients, can progress to ascending pyelonephritis. As an appropriate alternative to UDS, there is a need for technology that can continuously and in real-time monitor the condition of the bladder without the insertion of a catheter.
 
  *Partial cystectomy: A surgery that involves cutting out the tumor-bearing part of the bladder and stitching the rest of the bladder back together.

  **Urodynamic studies: Diagnostic tests to assess the overall function of the bladder and urethra to plan treatment.

In response, the research team developed an implantable bladder platform that can wirelessly remotely measure mechanical deformation changes related to bladder filling and emptying. This system uses biodegradable strain sensors to measure the size and pressure changes of the bladder in real-time, and the sensors naturally dissolve and disappear within the body after the recovery period. This eliminates the need for additional surgery to remove the monitoring equipment, reduces the risk of complications, and improves patient comfort and recovery time.

 
 
images 000076 image1 1.jpg 6 1
<Figure 1. Wireless implantable platform for bladder function monitoring (top), mouse model experimental setup (middle), Baboon experimental setup (bottom)>
 
The team proved through mouse models that this platform could reproduce real-time changes for up to 30 days after implantation. Additionally, through experiments on marmosets, the technology demonstrated consistency in pressure measurements for up to eight weeks compared to traditional UDS. These results suggest that the system can be used as an appropriate alternative to UDS for long-term post-surgical bladder recovery monitoring.

Professor Kyeongha Kwon said, “Through extensive experiments using non-human primates (marmosets), we have demonstrated the efficacy of a device that provides accurate and reliable data on bladder function,” and added, “This can be used to shorten patients’ recovery time and improve overall surgical outcomes.”

The results of this study were published in the ‘Proceedings of the National Academy of Sciences (PNAS)’ on April 2nd. (Article title: A wireless, implantable bioelectronic system for monitoring urinary bladder function following surgical recovery, link: https://www.pnas.org/doi/abs/10.1073/pnas.2400868121?af=R)

This research was conducted with the support of the Basic Research Program, the Regional Innovation Lead Research Center Project, and BK21 funded by the Ministry of Science and ICT and the National Research Foundation of Korea.

 

NOTICE

MORE

SCHEDULE

SEMINAR