College+of+Engineering
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Answering Calls for Help Even at Dawn: an AI TA makes a Successful Debut at KAIST
- Research team of Professor Yoonjae Choi of Kim Jaechul Graduate School of AI and Professor Hwajung Hong of the Department of Industrial Design, development of AI assistant (VTA) that helps with operation and learning in lectures for 477 students
- Responds to students’ questions about theory and practice 24 hours a day by referring to class slides, coding practice materials, and lecture videos
- Releases the system’s source code to support the development of customized learning assistance systems and application in educational settings in the future
< Photo 1. (From left) PhD candidate Sunjun Kweon, Master's candidate Sooyohn Nam, PhD candidate Hyunseung Lim, Professor Hwajung Hong, Professor Yoonjae Choi >
“At first, I didn’t have high expectations for AI assistant (VTA), but it was very useful because I could get immediate answers when I suddenly asked questions about concepts that I was curious about late at night,” he said. “In particular, I was able to ask questions about parts that I hesitated to ask a human assistant without feeling burdened, and as I asked more questions, my understanding of the class increased.” (KAIST Ph.D. student Ji-won Yang)
KAIST (President Kwang-Hyung Lee) announced that a joint research team of Professor Yoonjae Choi of Kim Jaechul Graduate School of AI and Professor Hwajung Hong of Industrial Design Department On the June 5th, it was announced that it had developed a ‘Virtual Teaching Assistant (VTA)’ that can provide personalized feedback to each student even in large lectures and successfully applied it to actual lectures.
This study is the first domestic case in which VTA was introduced to the ‘Programming for Artificial Intelligence’ course of the Kim Jaechul Graduate School of AI, which 477 master’s and doctoral students took in the fall semester of 2024, and its effectiveness and practicality were verified on a large scale in an actual educational setting.
The AI teaching assistant developed in this study is an agent specialized for classes, different from general chatGPT or existing chatbots. The research team automatically vectorized a large amount of class materials such as lecture slides, coding practice materials, and lecture videos, and implemented a Retrieval Augmented Generation (RAG) structure in which questions and answers are answered based on this.
< Photo 2. Students demonstrating how the Virtual Teaching Assistant works >
When a student asks a question, the system searches for the most relevant class materials in real time based on the context of the question and generates a response. This process is not simply calling a large language model (LLM), but is designed as a data-based question-and-answer that corresponds to the class content, so it can be said to be an intelligent system that secures both learning reliability and accuracy.
The first author of this study and the responsible teaching assistant for the class, PhD candidate Sunjun Kweon, said, “In the past, there were many repetitive and basic questions such as content already explained in class or simple concept definitions, so it was difficult for teaching assistants to focus on key questions.” He continued, “After the introduction of VTA, students reduced repetitive questions and focused on essential questions, so the burden on teaching assistants was noticeably reduced and they were able to focus on more high-level learning support.”
In fact, the number of questions that teaching assistants had to answer directly decreased by about 40% compared to last year’s class.
< Photo 3. A student working with VTA. >
More than half of all students actually used VTA during the 14-week operation, and a total of 3,869 questions and answers were recorded. In particular, the frequency of VTA use was higher for students who were not majoring in AI or lacked prior knowledge, which suggests that VTA provided practical help as a learning aid.
In addition, the analysis results showed that students tended to ask questions about theoretical concepts to VTA more often than to human assistants. This can be interpreted as the AI assistant providing an environment where students can freely ask questions without being evaluated or feeling uncomfortable, thereby actively encouraging learning participation.
As a result of the survey conducted three times before, during, and after class, students reported higher reliability, response appropriateness, and comfort with VTA than at the beginning. In particular, students who had experience of hesitating to ask questions to human assistants showed higher satisfaction with their interactions with AI assistants.
< Figure 1. Internal structure of the AI Teaching Assistant (VTA) applied in this course. It follows a Retrieval-Augmented Generation (RAG) structure that builds a vector database from course materials (PDFs, recorded lectures, coding practice materials, etc.), searches for relevant documents based on student questions and conversation history, and then generates responses based on them. >
Professor Yoonjae Choi, who led the research and is the professor in charge of the class, said, “The significance of the study lies in the fact that it has confirmed that AI technology can provide practical help to both students and instructors. We hope that this technology will be expanded to more diverse classes in the future.”
The research team is supporting other educational institutions and researchers to develop customized learning assistance systems based on this by releasing the system's source code on the developer platform GitHub and apply it to educational settings.
< Figure 2. Initial screen of the AI Teaching Assistant (VTA) introduced in the "Programming for AI" course. It asks for student ID input along with simple guidelines, a mechanism to ensure that only registered students can use it, blocking indiscriminate external access and ensuring limited use based on students. >
The related paper was accepted by the 'ACL 2025 Industry Track', one of the most prestigious international academic conferences in the field of natural language processing (NLP), on May 9, 2025, and its research excellence was recognized.
※ Paper title: A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant
< Figure 3. Example conversation with the AI Teaching Assistant (VTA). When a student inputs a class-related question, the system internally searches for relevant class materials and then generates an answer based on them. In this way, VTA provides learning support by reflecting class content in context. >
Meanwhile, this study was conducted with the support of the KAIST Center for Teaching and Learning Innovation, the National Research Foundation of Korea, and the National IT Industry Promotion Agency.
2025.06.05 View 258 -
KAIST Research Team Develops Electronic Ink for Room-Temperature Printing of High-Resolution, Variable-Stiffness Electronics
A team of researchers from KAIST and Seoul National University has developed a groundbreaking electronic ink that enables room-temperature printing of variable-stiffness circuits capable of switching between rigid and soft modes. This advancement marks a significant leap toward next-generation wearable, implantable, and robotic devices.
< Photo 1. (From left) Professor Jae-Woong Jeong and PhD candidate Simok Lee of the School of Electrical Engineering, (in separate bubbles, from left) Professor Gun-Hee Lee of Pusan National University, Professor Seongjun Park of Seoul National University, Professor Steve Park of the Department of Materials Science and Engineering>
Variable-stiffness electronics are at the forefront of adaptive technology, offering the ability for a single device to transition between rigid and soft modes depending on its use case. Gallium, a metal known for its high rigidity contrast between solid and liquid states, is a promising candidate for such applications. However, its use has been hindered by challenges including high surface tension, low viscosity, and undesirable phase transitions during manufacturing.
On June 4th, a research team led by Professor Jae-Woong Jeong from the School of Electrical Engineering at KAIST, Professor Seongjun Park from the Digital Healthcare Major at Seoul National University, and Professor Steve Park from the Department of Materials Science and Engineering at KAIST introduced a novel liquid metal electronic ink. This ink allows for micro-scale circuit printing – thinner than a human hair – at room temperature, with the ability to reversibly switch between rigid and soft modes depending on temperature.
The new ink combines printable viscosity with excellent electrical conductivity, enabling the creation of complex, high-resolution multilayer circuits comparable to commercial printed circuit boards (PCBs). These circuits can dynamically change stiffness in response to temperature, presenting new opportunities for multifunctional electronics, medical technologies, and robotics.
Conventional electronics typically have fixed form factors – either rigid for durability or soft for wearability. Rigid devices like smartphones and laptops offer robust performance but are uncomfortable when worn, while soft electronics are more comfortable but lack precise handling. As demand grows for devices that can adapt their stiffness to context, variable-stiffness electronics are becoming increasingly important.
< Figure 1. Fabrication process of stable, high-viscosity electronic ink by dispersing micro-sized gallium particles in a polymer matrix (left). High-resolution large-area circuit printing process through pH-controlled chemical sintering (right). >
To address this challenge, the researchers focused on gallium, which melts just below body temperature. Solid gallium is quite stiff, while its liquid form is fluid and soft. Despite its potential, gallium’s use in electronic printing has been limited by its high surface tension and instability when melted.
To overcome these issues, the team developed a pH-controlled liquid metal ink printing process. By dispersing micro-sized gallium particles into a hydrophilic polyurethane matrix using a neutral solvent (dimethyl sulfoxide, or DMSO), they created a stable, high-viscosity ink suitable for precision printing. During post-print heating, the DMSO decomposes to form an acidic environment, which removes the oxide layer on the gallium particles. This triggers the particles to coalesce into electrically conductive networks with tunable mechanical properties.
The resulting printed circuits exhibit fine feature sizes (~50 μm), high conductivity (2.27 × 10⁶ S/m), and a stiffness modulation ratio of up to 1,465 – allowing the material to shift from plastic-like rigidity to rubber-like softness. Furthermore, the ink is compatible with conventional printing techniques such as screen printing and dip coating, supporting large-area and 3D device fabrication.
< Figure 2. Key features of the electronic ink. (i) High-resolution printing and multilayer integration capability. (ii) Batch fabrication capability through large-area screen printing. (iii) Complex three-dimensional structure printing capability through dip coating. (iv) Excellent electrical conductivity and stiffness control capability.>
The team demonstrated this technology by developing a multi-functional device that operates as a rigid portable electronic under normal conditions but transforms into a soft wearable healthcare device when attached to the body. They also created a neural probe that remains stiff during surgical insertion for accurate positioning but softens once inside brain tissue to reduce inflammation – highlighting its potential for biomedical implants.
< Figure 3. Variable stiffness wearable electronics with high-resolution circuits and multilayer structure comparable to commercial printed circuit boards (PCBs). Functions as a rigid portable electronic device at room temperature, then transforms into a wearable healthcare device by softening at body temperature upon skin contact.>
“The core achievement of this research lies in overcoming the longstanding challenges of liquid metal printing through our innovative technology,” said Professor Jeong. “By controlling the ink’s acidity, we were able to electrically and mechanically connect printed gallium particles, enabling the room-temperature fabrication of high-resolution, large-area circuits with tunable stiffness. This opens up new possibilities for future personal electronics, medical devices, and robotics.”
< Figure 4. Body-temperature softening neural probe implemented by coating electronic ink on an optical waveguide structure. (Left) Remains rigid during surgery for precise manipulation and brain insertion, then softens after implantation to minimize mechanical stress on the brain and greatly enhance biocompatibility. (Right) >
This research was published in Science Advances under the title, “Phase-Change Metal Ink with pH-Controlled Chemical Sintering for Versatile and Scalable Fabrication of Variable Stiffness Electronics.” The work was supported by the National Research Foundation of Korea, the Boston-Korea Project, and the BK21 FOUR Program.
2025.06.04 View 267 -
RAIBO Runs over Walls with Feline Agility... Ready for Effortless Search over Mountaineous and Rough Terrains
< Photo 1. Research Team Photo (Professor Jemin Hwangbo, second from right in the front row) >
KAIST's quadrupedal robot, RAIBO, can now move at high speed across discontinuous and complex terrains such as stairs, gaps, walls, and debris. It has demonstrated its ability to run on vertical walls, leap over 1.3-meter-wide gaps, sprint at approximately 14.4 km/h over stepping stones, and move quickly and nimbly on terrain combining 30° slopes, stairs, and stepping stones. RaiBo is expected to be deployed soon for practical missions such as disaster site exploration and mountain searches.
Professor Jemin Hwangbo's research team in the Department of Mechanical Engineering at our university announced on June 3rd that they have developed a quadrupedal robot navigation framework capable of high-speed locomotion at 14.4 km/h (4m/s) even on discontinuous and complex terrains such as walls, stairs, and stepping stones.
The research team developed a quadrupedal navigation system that enables the robot to reach its target destination quickly and safely in complex and discontinuous terrain.
To achieve this, they approached the problem by breaking it down into two stages: first, developing a planner for planning foothold positions, and second, developing a tracker to accurately follow the planned foothold positions.
First, the planner module quickly searches for physically feasible foothold positions using a sampling-based optimization method with neural network-based heuristics and verifies the optimal path through simulation rollouts.
While existing methods considered various factors such as contact timing and robot posture in addition to foothold positions, this research significantly reduced computational complexity by setting only foothold positions as the search space. Furthermore, inspired by the walking method of cats, the introduction of a structure where the hind feet step on the same spots as the front feet further significantly reduced computational complexity.
< Figure 1. High-speed navigation across various discontinuous terrains >
Second, the tracker module is trained to accurately step on planned positions, and tracking training is conducted through a generative model that competes in environments of appropriate difficulty.
The tracker is trained through reinforcement learning to accurately step on planned plots, and during this process, a generative model called the 'map generator' provides the target distribution.
This generative model is trained simultaneously and adversarially with the tracker to allow the tracker to progressively adapt to more challenging difficulties. Subsequently, a sampling-based planner was designed to generate feasible foothold plans that can reflect the characteristics and performance of the trained tracker.
This hierarchical structure showed superior performance in both planning speed and stability compared to existing techniques, and experiments proved its high-speed locomotion capabilities across various obstacles and discontinuous terrains, as well as its general applicability to unseen terrains.
Professor Jemin Hwangbo stated, "We approached the problem of high-speed navigation in discontinuous terrain, which previously required a significantly large amount of computation, from the simple perspective of how to select the footprint positions. Inspired by the placements of cat's paw, allowing the hind feet to step where the front feet stepped drastically reduced computation. We expect this to significantly expand the range of discontinuous terrain that walking robots can overcome and enable them to traverse it at high speeds, contributing to the robot's ability to perform practical missions such as disaster site exploration and mountain searches."
This research achievement was published in the May 2025 issue of the international journal Science Robotics.
Paper Title: High-speed control and navigation for quadrupedal robots on complex and discrete terrain, (https://www.science.org/doi/10.1126/scirobotics.ads6192)YouTube Link: https://youtu.be/EZbM594T3c4?si=kfxLF2XnVUvYVIyk
2025.06.04 View 252 -
Professor Hyun Myung's Team Wins Challenge at ICRA by IEEE
< Photo 1. (From left) Daebeom Kim (Team Leader, Ph.D. student), Seungjae Lee (Ph.D. student), Seoyeon Jang (Ph.D. student), Jei Gong (Master's student), Professor Hyun Myung >
The Urban Robotics Lab team, led by Professor Hyun Myung from the School of Electrical Engineering at our university, achieved a remarkable first-place overall victory in the Nothing Stands Still Challenge (NSS Challenge) 2025, held at the 2025 IEEE International Conference on Robotics and Automation (ICRA), the world's most prestigious robotics conference, from May 19 to 23 in Atlanta, USA.
The NSS Challenge was co-hosted by HILTI, a global construction company based in Liechtenstein, and Stanford University's Gradient Spaces Group. It is an expanded version of the HILTI SLAM (Simultaneous Localization and Mapping)* Challenge, which has been held since 2021, and is considered one of the most prominent challenges at 2025 IEEE ICRA.*SLAM: Refers to Simultaneous Localization and Mapping, a technology where robots, drones, autonomous vehicles, etc., determine their own position and simultaneously create a map of their surroundings.
< Photo 2. Oral Presentation on the Winning Team's Technology (Speakers: Seungjae Lee, Ph.D. student, and Seoyeon Jang, Ph.D. student) >
This challenge primarily evaluates how accurately and robustly LiDAR scan data, collected at various times, can be registered in situations with frequent structural changes, such as construction and industrial environments. In particular, it is regarded as a highly technical competition because it deals with multi-session localization and mapping (Multi-session SLAM) technology that responds to structural changes occurring over multiple timeframes, rather than just single-point registration accuracy.
The Urban Robotics Lab team secured first place overall, surpassing National Taiwan University (3rd place) and Northwestern Polytechnical University of China (2nd place) by a significant margin, with their unique localization and mapping technology that solves the problem of registering LiDAR data collected across multiple times and spaces. The winning team will be awarded a prize of $4,000.
< Figure 1. Example of Multiway-Registration for Registering Multiple Scans >
The Urban Robotics Lab team independently developed a multiway-registration framework that can robustly register multiple scans even without prior connection information. This framework consists of an algorithm for summarizing feature points within scans and finding correspondences (CubicFeat), an algorithm for performing global registration based on the found correspondences (Quatro), and an algorithm for refining results based on change detection (Chamelion). This combination of technologies ensures stable registration performance based on fixed structures, even in highly dynamic industrial environments.
< Figure 2. Example of Change Detection Using the Chamelion Algorithm>
LiDAR scan registration technology is a core component of SLAM (Simultaneous Localization And Mapping) in various autonomous systems such as autonomous vehicles, autonomous robots, autonomous walking systems, and autonomous flying vehicles.
Professor Hyun Myung of the School of Electrical Engineering stated, "This award-winning technology is evaluated as a case that simultaneously proves both academic value and industrial applicability by maximizing the performance of precisely estimating the relative positions between different scans even in complex environments. I am grateful to the students who challenged themselves and never gave up, even when many teams abandoned due to the high difficulty."
< Figure 3. Competition Result Board, Lower RMSE (Root Mean Squared Error) Indicates Higher Score (Unit: meters)>
Meanwhile, the Urban Robotics Lab team first participated in the SLAM Challenge in 2022, winning second place among academic teams, and in 2023, they secured first place overall in the LiDAR category and first place among academic teams in the vision category.
2025.05.30 View 214 -
KAIST to Develop a Korean-style ChatGPT Platform Specifically Geared Toward Medical Diagnosis and Drug Discovery
On May 23rd, KAIST (President Kwang-Hyung Lee) announced that its Digital Bio-Health AI Research Center (Director: Professor JongChul Ye of KAIST Kim Jaechul Graduate School of AI) has been selected for the Ministry of Science and ICT's 'AI Top-Tier Young Researcher Support Program (AI Star Fellowship Project).' With a total investment of ₩11.5 billion from May 2025 to December 2030, the center will embark on the full-scale development of AI technology and a platform capable of independently inferring and determining the kinds of diseases, and discovering new drugs.
< Photo. On May 20th, a kick-off meeting for the AI Star Fellowship Project was held at KAIST Kim Jaechul Graduate School of AI’s Yangjae Research Center with the KAIST research team and participating organizations of Samsung Medical Center, NAVER Cloud, and HITS. [From left to right in the front row] Professor Jaegul Joo (KAIST), Professor Yoonjae Choi (KAIST), Professor Woo Youn Kim (KAIST/HITS), Professor JongChul Ye (KAIST), Professor Sungsoo Ahn (KAIST), Dr. Haanju Yoo (NAVER Cloud), Yoonho Lee (KAIST), HyeYoon Moon (Samsung Medical Center), Dr. Su Min Kim (Samsung Medical Center) >
This project aims to foster an innovative AI research ecosystem centered on young researchers and develop an inferential AI agent that can utilize and automatically expand specialized knowledge systems in the bio and medical fields.
Professor JongChul Ye of the Kim Jaechul Graduate School of AI will serve as the lead researcher, with young researchers from KAIST including Professors Yoonjae Choi, Kimin Lee, Sungsoo Ahn, and Chanyoung Park, along with mid-career researchers like Professors Jaegul Joo and Woo Youn Kim, jointly undertaking the project. They will collaborate with various laboratories within KAIST to conduct comprehensive research covering the entire cycle from the theoretical foundations of AI inference to its practical application.
Specifically, the main goals include: - Building high-performance inference models that integrate diverse medical knowledge systems to enhance the precision and reliability of diagnosis and treatment. - Developing a convergence inference platform that efficiently combines symbol-based inference with neural network models. - Securing AI technology for new drug development and biomarker discovery based on 'cell ontology.'
Furthermore, through close collaboration with industry and medical institutions such as Samsung Medical Center, NAVER Cloud, and HITS Co., Ltd., the project aims to achieve: - Clinical diagnostic AI utilizing medical knowledge systems. - AI-based molecular target exploration for new drug development. - Commercialization of an extendible AI inference platform.
Professor JongChul Ye, Director of KAIST's Digital Bio-Health AI Research Center, stated, "At a time when competition in AI inference model development is intensifying, it is a great honor for KAIST to lead the development of AI technology specialized in the bio and medical fields with world-class young researchers." He added, "We will do our best to ensure that the participating young researchers reach a world-leading level in terms of research achievements after the completion of this seven-year project starting in 2025."
The AI Star Fellowship is a newly established program where post-doctoral researchers and faculty members within seven years of appointment participate as project leaders (PLs) to independently lead research. Multiple laboratories within a university and demand-side companies form a consortium to operate the program.
Through this initiative, KAIST plans to nurture bio-medical convergence AI talent and simultaneously promote the commercialization of core technologies in collaboration with Samsung Medical Center, NAVER Cloud, and HITS.
2025.05.26 View 935 -
KAIST School of Computing Unveils 'KRAFTON Building,' A Symbol of Collective Generosity
< (From the fifth from the left) Provost and Executive Vice President Gyun Min Lee, Auditor Eun Woo Lee, President Kwang-Hyung Lee, Dean of the School of Computing Seok-Young Ryu, former Krafton member and donor Woong-Hee Cho, Krafton Chairman Byung-Gyu Chang >
KAIST announced on May 20th the completion of the expansion building for its School of Computing, the "KRAFTON Building." The project began in June 2021 with an ₩11 billion donation from KRAFTON and its employees, eventually growing to ₩11.7 billion with contributions from 204 donors.
Designed as a "Pay It Forward" space, the building aims to enable alumni to pass on the gratitude they received from the school to their juniors and foster connection. Byung-Gyu Chang, Chairman of KRAFTON and a KAIST alumnus, expressed his joy, stating, "I am very pleased that the first building created by alumni donations within KAIST is now complete, and I hope it will continue to be a space for communication, challenges, and growth that connects to the next generation."
The completion ceremony, held today at 3 PM in front of the KRAFTON SoC (School of Computing) Building at KAIST's main campus, was attended by over 100 people, including Chairman Byung-Gyu Chang, KAIST President Kwang-Hyung Lee, and Dean Seok-Young Ryu of the KAIST School of Computing.
The building's inception dates back to June 2021, with an ₩11 billion donation from the gaming company KRAFTON and its current and former members, dedicated to nurturing future software talent at KAIST. Four alumni, including KRAFTON Chairman Byung-Gyu Chang, who graduated from the KAIST School of Computing, were the first to pledge donations. This initial act inspired more participants, leading to ₩5.5 billion in individual donations from a total of 11 people. KRAFTON Inc. then matched this amount, bringing the total donation to ₩11 billion.
Since 2021, KRAFTON Inc. has operated a "Matching Grant" program, a donation culture initiative driven by its members. This system allows the company to match funds voluntarily raised by its employees, aiming to encourage active social participation and the creation of social value among its members.
Following this, another 11 KAIST alumni from Devsisters Inc., famous for the Cookie Run series, joined the donation effort. This wave of generosity expanded to include a total of 204 participants, comprising graduates, alumni professors, and current students, acting as a catalyst for the spread of a donation culture within the campus. To date, approximately ₩11.7 billion has been raised for the expansion of the School of Computing building. Furthermore, small donations, including those from alumni and the general public, have continuously grown, reaching over 50,000 instances from 2021 to May 2025.
The funds raised through donations were used to construct a 2,000-pyeong (approximately 6,600 square meters) building for individuals who, like Chairman Byung-Gyu Chang, will unleash their potential and become global leaders. The building was named "KRAFTON SoC (KRAFTON SoC)," and KRAFTON Inc. has further pledged additional donations for the building's maintenance over the next 10 years.
The newly completed KRAFTON Building is a six-story structure. From the second floor up, it features research labs for 20 professors and graduate students to freely pursue their research, along with large lecture halls. The first floor is designed as a meeting place for current students, alumni, and seniors, serving as a space to remember those who came before them.
The four lecture halls on the first floor are designated as "Immersion Camp Classrooms." During the summer and winter sessions, these rooms will be used for intensive month-long courses focused on improving coding and collaboration skills. During regular semesters, they will be utilized for other lectures.
Additionally, to support the physical and mental well-being of those weary from study and research, the building includes a small café on the first floor, a fitness center on the second floor, a Pilates studio on the fifth floor, and a soundproof band practice room in the basement.
Dean Seok-Young Ryu of the School of Computing explained, "The motivation for this wave of donations began with gratitude for the excellent professors and wonderful students, the free and open communication, the comfortable acceptance of diversity among various members, and the time when we could fearlessly dream. We cannot fully repay those who provided us with such precious time and space, but instead, this will be a 'Pay It Forward' space, a space of connection, where we share this gratitude with our juniors."
Alumnus Byung-Gyu Chang shared, "KAIST is more than just an academic foundation for me; it's a meaningful place that helped me set the direction for my life. I am very happy that this space, born from the desire of KRAFTON's members and myself to give back the opportunities and learning we received to the next generation, is completed today. I hope this space becomes a small but warm echo for KAIST members who freely communicate, challenge themselves, and grow."
< Congratulatory speech by alumnus Byung-Gyu Chang >
President Kwang-Hyung Lee stated, "The KRAFTON SoC, the expanded building for the School of Computing, is not just a space; it is the culmination of the KAIST community spirit created by alumni, current students, and faculty. I sincerely thank everyone who participated in this meaningful donation, which demonstrates the power of sharing and connection."
< Commemorative speech by President Kwang-Hyung Lee >
On a related note, the KAIST Development Foundation is actively promoting the "TeamKAIST" campaign for the general public and KAIST alumni to meet more "Daddy Long-Legs" (benefactors) for KAIST.
Website: https://giving.kaist.ac.kr/ko/sub01/sub0103_1.php
2025.05.21 View 625 -
<Big Coins> Exhibition: Where Coins and Imagination Collide - Held at SUPEX Hall, KAIST Seoul Campus
KAIST (President Kwang-Hyung Lee) announced on May 19th the opening of the solo exhibition, “Big Coins,” by photographer and media artist Hojun Ji (Adjunct Professor, Department of Industrial Design) at the SUPEX Hall in the Business School of the Seoul Campus. The exhibition will run from May 19th to the end of February of the following year.
This exhibition at the KAIST Seoul Campus Business School presents artworks with an insightful perspective, inviting diverse interpretations from the audience. Notable pieces include ‘Priced,’ which juxtaposes Leonardo da Vinci's ‘Salvator Mundi,’ sold for approximately 450 million US dollars at a 2017 auction, with a Vatican coin bearing the image of Pope John XXIII. Another work, ‘Ciphered,’ superimposes a code used by the German army during World War II onto a Swiss coin featuring Helvetia.
< Priced, 150x150cm, 2025 >
Currently, Hojun Ji, an Adjunct Professor in KAIST’s Department of Industrial Design (and a student at the KAIST Graduate School of Culture Technology), creates his art using images captured by observing everyday objects through optical or electron microscopes.
He has garnered particular attention for his unique artistic world, which combines enlarged microscopic photographs of coins from across the globe with significant news articles from modern and contemporary history.
Yeo-sun Yoon, Dean of the College of Business Administration, commented, “While the KAIST Art Museum is located at the main campus in Daejeon, the College of Business Administration here on the Seoul Campus also regularly hosts exhibitions curated by the museum. I am delighted to encounter a new realm of art through this solo exhibition by Artist Hojun Ji.”
< Ciphered, 150x150cm, 2025 >
Hyeon-Jeong Suk, Director of the Art Museum and a Full Professor in KAIST’s Department of Industrial Design, remarked, “Professor Hojun Ji's experimental imagination is remarkably unique and eccentric. As a graduate student, he connected data from his observations of his lab dog’s droppings with Jeong Seon's <Geumgang Jeondo>. Such imaginative thinking exemplifies the direction KAIST is pursuing.”
Artist Hojun Ji stated, “The coins I examined through optical and electron microscopes were not merely a form of payment but rather portraits of humanity etched with time and power. The history and memories embedded in their fine cracks and textures resonated with me as a singular sculpture. I aim to unlock the vast world of imagination concealed within these small pieces of metal.”
< Geumgang Byeondo: a Variation of the View of Mt. Geumgang (a twist of Geumgang Jeondo - a Complete View of Geumgangsan Mountain, 1734), 80x120cm, 2009 >
Ji has presented experimental works that transcend the boundaries of science and art through numerous exhibitions both domestically and internationally. His work has also been featured on the cover of the international academic journal Digital Creativity and is increasingly recognized for its artistic merit, with pieces housed in the Embassy of the Republic of Korea in Turkey, the Seoul Museum of Art, and the 9/11 Memorial Center in the United States.
This solo exhibition, which will continue until the end of February of next year, is open to KAIST members and external visitors free of charge.
2025.05.20 View 692 -
“For the First Time, We Shared a Meaningful Exchange”: KAIST Develops an AI App for Parents and Minimally Verbal Autistic Children Connect
• KAIST team up with NAVER AI Lab and Dodakim Child Development Center Develop ‘AAcessTalk’, an AI-driven Communication Tool bridging the gap Between Children with Autism and their Parents
• The project earned the prestigious Best Paper Award at the ACM CHI 2025, the Premier International Conference in Human-Computer Interaction
• Families share heartwarming stories of breakthrough communication and newfound understanding.
< Photo 1. (From left) Professor Hwajung Hong and Doctoral candidate Dasom Choi of the Department of Industrial Design with SoHyun Park and Young-Ho Kim of Naver Cloud AI Lab >
For many families of minimally verbal autistic (MVA) children, communication often feels like an uphill battle. But now, thanks to a new AI-powered app developed by researchers at KAIST in collaboration with NAVER AI Lab and Dodakim Child Development Center, parents are finally experiencing moments of genuine connection with their children.
On the 16th, the KAIST (President Kwang Hyung Lee) research team, led by Professor Hwajung Hong of the Department of Industrial Design, announced the development of ‘AAcessTalk,’ an artificial intelligence (AI)-based communication tool that enables genuine communication between children with autism and their parents.
This research was recognized for its human-centered AI approach and received international attention, earning the Best Paper Award at the ACM CHI 2025*, an international conference held in Yokohama, Japan.*ACM CHI (ACM Conference on Human Factors in Computing Systems) 2025: One of the world's most prestigious academic conference in the field of Human-Computer Interaction (HCI).
This year, approximately 1,200 papers were selected out of about 5,000 submissions, with the Best Paper Award given to only the top 1%. The conference, which drew over 5,000 researchers, was the largest in its history, reflecting the growing interest in ‘Human-AI Interaction.’
Called AACessTalk, the app offers personalized vocabulary cards tailored to each child’s interests and context, while guiding parents through conversations with customized prompts. This creates a space where children’s voices can finally be heard—and where parents and children can connect on a deeper level.
Traditional augmentative and alternative communication (AAC) tools have relied heavily on fixed card systems that often fail to capture the subtle emotions and shifting interests of children with autism. AACessTalk breaks new ground by integrating AI technology that adapts in real time to the child’s mood and environment.
< Figure. Schematics of AACessTalk system. It provides personalized vocabulary cards for children with autism and context-based conversation guides for parents to focus on practical communication. Large ‘Turn Pass Button’ is placed at the child’s side to allow the child to lead the conversation. >
Among its standout features is a large ‘Turn Pass Button’ that gives children control over when to start or end conversations—allowing them to lead with agency. Another feature, the “What about Mom/Dad?” button, encourages children to ask about their parents’ thoughts, fostering mutual engagement in dialogue, something many children had never done before.
One parent shared, “For the first time, we shared a meaningful exchange.” Such stories were common among the 11 families who participated in a two-week pilot study, where children used the app to take more initiative in conversations and parents discovered new layers of their children’s language abilities.
Parents also reported moments of surprise and joy when their children used unexpected words or took the lead in conversations, breaking free from repetitive patterns. “I was amazed when my child used a word I hadn’t heard before. It helped me understand them in a whole new way,” recalled one caregiver.
Professor Hwajung Hong, who led the research at KAIST’s Department of Industrial Design, emphasized the importance of empowering children to express their own voices. “This study shows that AI can be more than a communication aid—it can be a bridge to genuine connection and understanding within families,” she said.
Looking ahead, the team plans to refine and expand human-centered AI technologies that honor neurodiversity, with a focus on bringing practical solutions to socially vulnerable groups and enriching user experiences.
This research is the result of KAIST Department of Industrial Design doctoral student Dasom Choi's internship at NAVER AI Lab.* Thesis Title: AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation* DOI: 10.1145/3706598.3713792* Main Author Information: Dasom Choi (KAIST, NAVER AI Lab, First Author), SoHyun Park (NAVER AI Lab) , Kyungah Lee (Dodakim Child Development Center), Hwajung Hong (KAIST), and Young-Ho Kim (NAVER AI Lab, Corresponding Author)
This research was supported by the NAVER AI Lab internship program and grants from the National Research Foundation of Korea: the Doctoral Student Research Encouragement Grant (NRF-2024S1A5B5A19043580) and the Mid-Career Researcher Support Program for the Development of a Generative AI-Based Augmentative and Alternative Communication System for Autism Spectrum Disorder (RS-2024-00458557).
2025.05.19 View 1569 -
KAIST Discovers Protein Switch that Turns Anti-Viral Immune Response On and Off
Even after the COVID-19 pandemic, various new infectious diseases continue to emerge, posing ongoing viral threats that demand robust and sustained immune defenses. However, excessive immune reactions can also harm body tissues, causing significant health issues. KAIST and an international research team have discovered a critical protein that acts as a 'switch' regulating immune responses to viruses. This breakthrough is expected to lay the groundwork for future infectious disease responses and autoimmune disease treatment strategies.
KAIST (President Kwang-Hyung Lee) announced on May 14 that a joint research team led by Professor Yoosik Kim from the Department of Chemical and Biomolecular Engineering at KAIST and Professor Seunghee Cha from University of Florida has discovered the mechanism by which double-stranded RNA derived from mitochondria amplifies immune responses. They identified the protein SLIRP as an 'immune switch' that regulates this process, playing a crucial role in both viral infections and autoimmune diseases.
< (From left) Master's candidate Yewon Yang, Professor Yoosik Kim and Ph.D. candidate Doyeong Ku of the Department of Chemical and Biomolecular Engineering >
Autoimmune diseases arise when the immune system fails to differentiate between external pathogens and the body's own molecules, leading to self-directed attacks. Despite extensive research, the precise causes of excessive inflammatory conditions like Sjögren’s syndrome and systemic lupus erythematosus remain unclear, and effective treatments are still limited.
To uncover the molecular mechanisms driving immune hyperactivation and to identify potential regulatory factors, the research team led by Professor Yoosik Kim focused on mitochondrial double-stranded RNA (mt-dsRNA), a genetic immunogenic material produced within cellular organelles. Since mt-dsRNA structurally resembles viral RNA, it can mistakenly trigger immune responses even in the absence of an actual viral infection.
The team discovered that SLIRP, a key regulator of mt-dsRNA, amplifies immune responses by stabilizing the RNA. They confirmed that SLIRP expression increases in experimental models simulating the tissues of autoimmune disease patients and viral infections. Conversely, suppressing SLIRP significantly reduced the immune response, underscoring its role as a critical factor in immune amplification.
This study also demonstrated the dual function of SLIRP in different contexts. In cells infected with human beta coronavirus OC43 and encephalomyocarditis virus (EMCV), SLIRP suppression led to reduced antiviral responses and increased viral replication. Meanwhile, in the blood and salivary gland cells of Sjögren’s syndrome patients, where both SLIRP and mt-dsRNA levels were elevated, suppressing SLIRP alleviated the abnormal immune response.
These findings highlight SLIRP as a key molecular switch that regulates immune responses in both infections and autoimmune diseases.
< Figure 1. Schematic diagram of antiviral signal amplification by SLIRP: SLIRP-based mt-dsRNA induction, cytoplasmic accumulation, and strong interferon response induction by positive feedback of immune response activation. Confirmation of the immune regulatory function of SLIRP in defense against autoimmune diseases Sjögren's syndrome, coronavirus, and encephalomyocarditis virus infection. >
Professor Yoosik Kim remarked, "Through this study, we have identified SLIRP as a crucial protein that drives immune amplification via mt-dsRNAs. Given its dual role in autoimmune diseases and viral infections, SLIRP presents a promising target for immune regulation therapies across various inflammatory disease contexts."
The study, with Ph.D. student Do-Young Ku (first author) and M.S. student Ye-Won Yang (second author) from the Department of Chemical and Biomolecular Engineering at KAIST as primary contributors, was published online in the journal Cell Reports on April 19, 2025.
※ Paper title: SLIRP amplifies antiviral signaling via positive feedback regulation and contributes to autoimmune diseases※ Main authors: Do-Young Ku (KAIST, first author), Ye-Won Yang (KAIST, second author), Seunghee Cha (University of Florida, corresponding author), Yoosik Kim (KAIST, corresponding author)
This study was supported by the Ministry of Health and Welfare's Public Health Technology Research Program and the National Institutes of Health (NIH) through Research Project (R01) funding.
2025.05.14 View 1157 -
KAIST Develops Novel Catalyst With 100-Fold Platinum Efficiency
Propylene, a key building block used in producing plastics, textiles, automotive components, and electronics, is essential to the petrochemical industry. A KAIST research team has developed a novel catalyst that dramatically enhances the efficiency of propylene production while significantly reducing costs.
< Photo. Professor Minkee Choi (left), and Ph.D. Candidate Susung Lee (right) of the Department of Chemical and Biomolecular Engineering >
KAIST (represented by President Kwang-Hyung Lee) announced on the 12th of May that a research group led by Professor Minkee Choi from the Department of Chemical and Biomolecular Engineering has successfully developed a new catalyst using inexpensive metals—gallium (Ga) and alumina (Al₂O₃)—with only a trace amount of platinum (100 ppm, or 0.01%). Remarkably, this new catalyst outperforms conventional industrial catalysts that use high concentrations of platinum (10,000 ppm).
Propylene is commonly produced through the propane dehydrogenation (PDH) process, which removes hydrogen from propane. Platinum has long been used as a catalyst in PDH due to its high efficiency in breaking carbon-hydrogen bonds and facilitating hydrogen removal. However, platinum is costly and suffers from performance degradation over repeated use.
To address this, the KAIST team engineered a catalyst that incorporates only a minimal amount of platinum, relying on gallium and alumina as the primary components.
< Figure 1. Schematic diagram showing the catalytic cooperation between gallium (Ga) and platinum (Pt) >
The core mechanism of the catalyst involves a cooperative function between the metals: gallium activates the C–H bond in propane to produce propylene, while platinum bonds the residual hydrogen atoms on the surface to form hydrogen gas (H₂), which is then released. This division of roles allows for high catalytic efficiency despite the drastic reduction in platinum content.
The researchers identified an optimal platinum-to-gallium ratio that delivered peak performance and provided a scientific rationale and quantitative metrics to predict this ideal composition.
Additionally, the team addressed a major limitation of traditional platinum catalysts: sintering—the agglomeration of platinum particles during repeated use, which causes performance loss. By adding a small amount of cerium (Ce), the researchers successfully suppressed this aggregation. As a result, the new catalyst maintained stable performance even after more than 20 reaction-regeneration cycles.
< Figure 2. Performance comparison of KAIST's newly developed catalyst (100 ppm platinum) and existing commercial platinum catalyst (10,000 ppm platinum) >
Professor Choi stated, “This research demonstrates the possibility of reducing platinum usage to 1/100th of current levels without compromising, and even enhancing, performance. It presents significant economic and environmental advantages, including lower catalyst costs, extended replacement intervals, and reduced catalyst waste.”
He added, “We are planning to evaluate this technology for large-scale process demonstration and commercialization. If adopted in industry, it could greatly improve the economic viability and efficiency of propylene production.”
The study was led by Professor Minkee Choi as corresponding author, with Ph.D. candidate Susung Lee as the first author. The findings were published in the Journal of the American Chemical Society (JACS), a leading journal in chemistry and chemical engineering, on February 13.※ Paper title: Ideal Bifunctional Catalysis for Propane Dehydrogenation over Pt-Promoted Gallia-Alumina and Minimized Use of Precious Elements※ DOI: https://pubs.acs.org/doi/10.1021/jacs.4c13787
The research was supported by the National Research Foundation of Korea and Hanwha Solutions Corporation.
2025.05.12 View 591 -
KAIST & CMU Unveils Amuse, a Songwriting AI-Collaborator to Help Create Music
Wouldn't it be great if music creators had someone to brainstorm with, help them when they're stuck, and explore different musical directions together? Researchers of KAIST and Carnegie Mellon University (CMU) have developed AI technology similar to a fellow songwriter who helps create music.
KAIST (President Kwang-Hyung Lee) has developed an AI-based music creation support system, Amuse, by a research team led by Professor Sung-Ju Lee of the School of Electrical Engineering in collaboration with CMU. The research was presented at the ACM Conference on Human Factors in Computing Systems (CHI), one of the world’s top conferences in human-computer interaction, held in Yokohama, Japan from April 26 to May 1. It received the Best Paper Award, given to only the top 1% of all submissions.
< (From left) Professor Chris Donahue of Carnegie Mellon University, Ph.D. Student Yewon Kim and Professor Sung-Ju Lee of the School of Electrical Engineering >
The system developed by Professor Sung-Ju Lee’s research team, Amuse, is an AI-based system that converts various forms of inspiration such as text, images, and audio into harmonic structures (chord progressions) to support composition.
For example, if a user inputs a phrase, image, or sound clip such as “memories of a warm summer beach”, Amuse automatically generates and suggests chord progressions that match the inspiration.
Unlike existing generative AI, Amuse is differentiated in that it respects the user's creative flow and naturally induces creative exploration through an interactive method that allows flexible integration and modification of AI suggestions.
The core technology of the Amuse system is a generation method that blends two approaches: a large language model creates music code based on the user's prompt and inspiration, while another AI model, trained on real music data, filters out awkward or unnatural results using rejection sampling.
< Figure 1. Amuse system configuration. After extracting music keywords from user input, a large language model-based code progression is generated and refined through rejection sampling (left). Code extraction from audio input is also possible (right). The bottom is an example visualizing the chord structure of the generated code. >
The research team conducted a user study targeting actual musicians and evaluated that Amuse has high potential as a creative companion, or a Co-Creative AI, a concept in which people and AI collaborate, rather than having a generative AI simply put together a song.
The paper, in which a Ph.D. student Yewon Kim and Professor Sung-Ju Lee of KAIST School of Electrical and Electronic Engineering and Carnegie Mellon University Professor Chris Donahue participated, demonstrated the potential of creative AI system design in both academia and industry. ※ Paper title: Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations DOI: https://doi.org/10.1145/3706598.3713818
※ Research demo video: https://youtu.be/udilkRSnftI?si=FNXccC9EjxHOCrm1
※ Research homepage: https://nmsl.kaist.ac.kr/projects/amuse/
Professor Sung-Ju Lee said, “Recent generative AI technology has raised concerns in that it directly imitates copyrighted content, thereby violating the copyright of the creator, or generating results one-way regardless of the creator’s intention. Accordingly, the research team was aware of this trend, paid attention to what the creator actually needs, and focused on designing an AI system centered on the creator.”
He continued, “Amuse is an attempt to explore the possibility of collaboration with AI while maintaining the initiative of the creator, and is expected to be a starting point for suggesting a more creator-friendly direction in the development of music creation tools and generative AI systems in the future.”
This research was conducted with the support of the National Research Foundation of Korea with funding from the government (Ministry of Science and ICT). (RS-2024-00337007)
2025.05.07 View 2522 -
KAIST Art Museum Showcases the Works of Van Gogh, Cy Twombly, and More at "The Vault of Masterpieces"
KAIST (President Kwang Hyung Lee) opened a special exhibition, "The Vault of Masterpieces", featuring the architects of the Gallerist Hong Gyu Shin, who is active in New York, on April 29th.
Since its opening in December 2024, the KAIST Museum of Art, which has mainly exhibited works from its own collection, has boldly invited internationally renowned Gallerist Shin Hong-gyu to hold its first full-scale special exhibition, displaying a large number of his collections in the center of the campus.
This exhibition will feature a variety of artifacts from artists who are looking for a society that includes the 18th century artist Tanksuis Boucher, the 19th century master Vincent van Gogh’s “Head of a Peasant (1885)”, the 20th century master of the orthodoxy Saibli, and Joan Miró’s friend Carlarena, a forgotten figure in history who has been brought to life by Gallerist Shin.
< Photo 1. A space where the works and props of the new collection are combined is recreated in the exhibition hall. ⓒ Shin Gallery >
Shin, who majored in ceramics and restoration at the University of Delaware, is a gallerist, curator, and collector of paintings who has embraced the world of space and artifacts.
Shin has been trading, respecting, and exhibiting artifacts ranging from the 18th century to the moderncontemporary, and has been a part of the global art scene since his youth in 1990.
So far, he has put on 150 exhibitions and has participated in over 300 events with members of the National Assembly, Watertan, Treatment, Reina Commission, Guggenheim, Whitney, New York Anne, Kunstmuseum Basel, Van Gogh Foundation, Biennale, etc. This shows well how much trust Shin’s vision and movement are receiving in the international field.
Shin said, “This 'Vault of Masterpieces' exhibition is not just a place where works of art stay, but a place where conversations flow beyond time and space. In this world where art becomes a question, empathy, and a self-portrait that constantly changes its appearance, we will feel a life living with art, and if this exhibition has left a little trembling in someone's heart, I am happy enough with that alone."
< Photo 2. Gallerist Hong-Gyu Shin's lecture on the topic of how Van Gogh's paintings came to my hands >
Hyeon-Jeong Suk, the director of KAIST Art Museum and a professor of KAIST Department of Industrial Design said, “It is a once-in-a-lifetime opportunity to comfortably experience the latest collection trends of the New York art world here at the KAIST Museum of Art, and you will also be able to experience a unique exhibition composition that reconstructed the living room of Mr. Hong Gyu Shin residence as is.”
President Kwang-Hyung Lee said, “Despite being a new museum that has only been open for four months, we are very grateful to Hong Gyu Shin entrusting the works of masters such as Vincent van Gogh. The Vault will be an unforgettable exhibition for the members of KAIST and the community at large.”
KAIST and the Art Museum hosted a lecture by Gallerist Hong Gyu Shin, "How I got my first Van Gogh" on the 29th, and the opening ceremony of the Vault of Masterpieces Exhibition with invited guests.
The general public can visit from the 30th of April to the 29th of August, and the admission is free of charge on weekdays from 10 a.m. to 5 p.m.
< Photo 3. Opening ceremony for the Exhibition of the Vault of Masterpieces >
2025.04.30 View 1644