KAIST Professor S. Josephine Suh Receives the 2026 Frontiers of Science Award
<Professor S. Josephine Suh>
Professor S. Josephine Suh wins the Frontiers of Science Award for the second consecutive year following last year - Honored for her paper published in November 2017, targeting research papers that have achieved significant results within the last 10 years - Recognized internationally for leading research achievements in the fields of quantum gravity and quantum field theory
KAIST announced on June 12th that a co-authored research paper by Professor S. Josephine Suh of the Department of Physics was selected as a winning paper for the '2026 Frontiers of Science Award' presented by the International Congress of Basic Science (ICBS). Professor Suh has won this award for two consecutive years, following her win in 2025.
The Frontiers of Science Award is presented to papers published within the last 10 years in the fields of mathematics, physics, and information science that have achieved outstanding academic originality and impact. The award ceremony will take place during the ICBS event to be held in Beijing, China, in August 2026.
The award-winning paper is "The soft mode in the Sachdev-Ye-Kitaev model and its gravity dual," a joint research project between Professor Alexei Kitaev of the California Institute of Technology (Caltech) and Professor S. Josephine Suh.
※ Paper Title: The soft mode in the Sachdev-Ye-Kitaev model and its gravity dual, DOI: https://doi.org/10.1007/JHEP05(2018)183)
The SYK (Sachdev-Ye-Kitaev) model is a quantum physics model in which a large number of Majorana fermions (special quantum particles whose particles and antiparticles have identical properties) interact randomly and strongly. Despite being a highly complex quantum many-body system (a system where many particles entangle and interact simultaneously), it allows for mathematically exact analysis. Furthermore, because its characteristics of quantum chaos (chaotic phenomena occurring in quantum systems) are remarkably similar to those of black holes, it has drawn attention as a core theory for understanding the microscopic structure (the fine quantum states that make up a black hole) of black holes.
The award-winning paper demonstrated that the physical properties displayed by the SYK model in a low-energy state precisely connect with two-dimensional gravity theory (a gravity model simplified by leaving only one dimension each for space and time). This research has since become a core theoretical foundation for black hole and quantum gravity research, establishing itself as one of the most widely cited representative papers in the relevant field.
In addition, the SYK model is utilized as a representative theoretical model to explain how information is stored and disappears inside a black hole, drawing attention as a key research topic for solving conundrums in modern physics.
The 'Frontiers of Science Award' is an international academic award that the International Congress of Basic Science (ICBS) has been presenting since 2023. The Global Committee makes the final selection of winning works through recommendations and evaluations from experts worldwide.
In its official notification of selection, the ICBS stated, "Professor Suh's research has made an outstanding contribution to the field of Formal Quantum Field Theory*," adding, "The researcher's dedication to expanding the boundaries of human knowledge provides great inspiration to the scientific community."
*Formal Quantum Field Theory: A field of theoretical physics that explores the mathematical principles and structures of quantum field theory, which explains the fundamental particles and forces of the universe.
Professor S. Josephine Suh said, "The research in this paper was a work showing how a specific quantum many-body system and gravity theory correspond at a microscopic level," and added, "The research currently underway seeks to obtain a physical understanding of how spacetime is generated from a quantum many-body system based on this correspondence."
The total prize money for this award is $25,000 (approximately 33 million KRW), which is shared jointly among the authors of the winning paper.
Reference: Official website of the Frontiers of Science Award: https://www.icbs.cn
Humanoid Robot Pilot PIBOT Wins Best Paper Award at the World’s Most Prestigious Robotics Magazine
< (From left of the award recipients) Ph. D candidate Sungjae Min, Ph. D candidate Gyuree Kang, Professor David Hyunchul Shim, Ph.D candidate Hyungjoo Kim >
KAIST announced on June 5th that a paper proposing an aircraft autonomous piloting framework based on the humanoid robot pilot ‘PIBOT,’ developed by a research team led by Professor David Hyunchul Shim of the School of Electrical Engineering, was selected as the Best Paper Award among the papers published in the IEEE Robotics & Automation Magazine (IEEE RAM) in 2025.
< The proposed PIBOT system framework capable of piloting based on aviation manuals and voice communication without modifying existing aircraft >
This award is highly meaningful as it signifies that grassroots research based entirely on domestic, independent initiatives has been recognized as a world-class achievement in robotics. The award ceremony took place in Vienna, Austria, on June 4, 2026 (local time) during the International Conference on Robotics and Automation (ICRA 2026). IEEE Robotics & Automation Magazine (IEEE RAM) is a prestigious academic magazine published by the IEEE Robotics and Automation Society (RAS), under the umbrella of IEEE, the world's largest technical professional organization. It is well known for delivering the latest research achievements, industry trends, and tutorials in the fields of robotics and automation, widely conveying robot technologies applicable to actual industrial sites to researchers in both industry and academia. As of 2025, IEEE RAM recorded an Impact Factor (IF) of 7.1, holding the second highest impact among IEEE publications in the field of robotics. In particular, it presents the Best Paper Award to research that has a significant academic and industrial impact among the papers published after undergoing rigorous peer review. This study was selected as a Future Challenge Defense Technology Research and Development Project by the Agency for Defense Development (ADD) in 2021 and was conducted based purely on domestic technology with support of approximately 5.7 billion won over five years. The research team received high praise for implementing Physical AI technology at an exceptionally high level, enabling a humanoid robot to systematically and adaptively perform complex tasks such as piloting aircraft based on artificial intelligence, going beyond simple walking or carrying items. Recently, humanoid robot technology has been developing rapidly in terms of athletic performance, such as tumbling or implementing complex movements. However, in the industrial sector, the applicability to actual industrial sites is drawing attention as a more critical factor. The pilot robot ‘PIBOT’ being developed by Professor David Hyunchul Shim's research team is designed to acquire specialized knowledge required for aircraft operation and to recognize and respond to actual flight situations in real time, going beyond simple repetitive tasks or logistics processing. Accordingly, it is evaluated as presenting a new direction for the utilization of humanoid robot technology, termed as Expert Physical AI.
< The research team's PIBOT sitting in an actual aircraft (KLA-100) and operating the instruments and control stick >
The research team has successfully completed Phase 1 of the research since the project launched in 2021, and since 2024, they have been developing Phase 2 of the pilot robot, which features a human-like physique and joint structure suitable for actual aircraft piloting. In addition, they are pursuing collaborative research with relevant organizations to expand and apply this technology to various mobile vehicle piloting fields, such as ground vehicles and ships, as well as aircraft.
< PIBOT performing piloting in an aircraft simulator device >
Professor David Hyunchul Shim said, “It is very meaningful that the pilot robot technology, proposed for the first time in the world by Korean researchers, has been recognized as a world-class research achievement thanks to the support of a large-scale national project. We will further develop our research in a direction where humanoid robots can help humans in real-world environments and safely operate complex systems.” In this study, PhD students Sungjae Min, Gyuree Kang, and Hyungjoo Kim participated as co-first authors, and Professor David Hyunchul Shim served as the corresponding author. The paper can be found through IEEE Xplore. ※ Paper Title: “Toward Fully Autonomous Aviation: PIBOT, a Humanoid Robot Pilot for Human-Centric Aircraft Cockpits”, Paper Links: https://doi.org/10.1109/MRA.2024.3505774, https://ieeexplore.ieee.org/document/10798973/ Meanwhile, this research was conducted with support from the Agency for Defense Development's Future Challenge Defense Technology Research and Development Project.
Professor Hoon Sohn of the Department of Civil and Environmental Engineering Selected as the June Winner of the 'Korea Scientist and Engineer Award'
< Professor Hoon Sohn, Department of Civil and Environmental Engineering >
Professor Hoon Sohn from KAIST Department of Civil and Environmental Engineering has been selected as the June winner of the 'Korea Scientist and Engineer Award.'
The Korea Scientist and Engineer Award is presented monthly by the Ministry of Science and ICT (MSIT) and the National Research Foundation of Korea (NRF) to a researcher who has made significant contributions to the advancement of science and technology through original research achievements over the past three years. The award includes a commendation from the Deputy Prime Minister and Minister of Science and ICT, along with a cash prize of 10 million KRW.
Professor Hoon Sohn was recognized for his contributions to developing an affordable, high-precision displacement sensor technology capable of detecting disaster and hazard risks in small-to-medium-sized infrastructure in real-time.
With the rapid aging of infrastructure such as bridges and buildings in recent years, the importance of technology that continuously monitors the structural safety of facilities has been growing. However, small-to-medium-sized structures—which make up the vast majority of infrastructure worldwide—exhibit very subtle movements on a millimeter scale, requiring highly precise measurement. Moreover, existing equipment is prohibitively expensive, making widespread adoption difficult.
To overcome these limitations, Professor Sohn combined millimeter-wave (mmWave) radar with Micro-Electro-Mechanical Systems (MEMS) accelerometers and applied signal processing algorithms. Through this, he successfully developed a technology that can simultaneously measure a structure's vibration, tilt, and displacement with a single sensor.
The production cost of this sensor is under 1 million KRW, which is approximately 1/40th the cost of conventional equipment, yet it boasts a high precision of 0.026 mm. Its power consumption has also been reduced to 1/100th of existing systems. Furthermore, it incorporates energy harvesting technology that utilizes ambient wasted energy, allowing for completely wireless operation.
The reliability of this technology has been proven through field demonstrations at more than 13 domestic and international sites, including a parking garage at Stanford University (USA), a highway in San Jose (USA), a bridge in Weifang (China), and the Geumgang Pedestrian Bridge in Sejong (South Korea).
Professor Sohn stated, "The significance of this research lies in establishing a technological foundation to precisely manage small-to-medium-sized structures that have previously been excluded from continuous, routine monitoring." He added, "Moving forward, I will continue my research on AI-based digital twins to lead the automation, unmanned operation, and intelligent advancement of the safety diagnosis market, thereby contributing to public safety and disaster prevention."
Professor Kyung-Jin Lee of the Department of Physics Selected for the KAISTian of the Year’ Award
< Professor Kyung-Jin Lee at the ceremony >
KAIST announced on February 12th that it has selected Professor Kyung-Jin Lee from the Department of Physics as the recipient of the ‘KAISTian of the Year’ award in celebration of the university's 55th anniversary. Established in 2001, the ‘KAISTian of the Year’ award is the university’s highest honor, presented to members who have significantly enhanced KAIST's global prestige through exceptional academic and research milestones.
As the 25th recipient of this award, Professor Kyung-Jin Lee was recognized for his groundbreaking work in identifying the phenomenon of ‘Quantum Spin Pumping,’ effectively overturning 30-year-old conventional assumptions in spin transfer theory. While existing theories treated spin as a classical physical quantity, Professor Lee focused on the fact that spins within materials possess intrinsic quantum properties, much like electrons. To verify this, he researched Iron-Rhodium (FeRh), a magnetic material where spin magnitude changes abruptly under specific conditions. He became the first to observe a quantum transition in which the spin magnitude of Rhodium (Rh) atoms increased suddenly rather than gradually, theorizing that this very change serves as a new mechanism for inducing electron movement. Experimental data showed that this effect is more than 10 times greater than what previous theories had predicted. This achievement is hailed as a major breakthrough that redefines the core premises of spin transfer theory and provides a vital theoretical foundation for next-generation ultra-low-power magnetic memory and quantum information devices. The study gained worldwide acclaim following its publication in the journal ‘Nature’ last year.
The anniversary ceremony also honored 58 faculty members for their excellence in education, research, and international cooperation. Professor Wonho Choe of the Department of Nuclear and Quantum Engineering received the ‘Academic Achievement Grand Prize’ for his world-first identification of physical phenomena in low-temperature atmospheric pressure plasma and his contributions to medical and space technologies. The ‘Creative Teaching Grand Prize’ went to Professor Hyung-soo Kim of the Department of Mechanical Engineering for his innovative sports fluid mechanics curriculum. Professor Park Bum-soon of the Graduate School of Science and Technology Policy was awarded the ‘Outstanding Teaching Grand Prize’ for his interdisciplinary ‘Anthropocene Humanities’ courses that bridge science, art, and policy.
Furthermore, Professor Hyeon-Min Bae of the School of Electrical Engineering received the ‘Distinguished Service Grand Prize’ for his leadership in accelerating deep-tech prototyping and fostering a robust startup ecosystem. Professor Shin-Hyun Kim of the Department of Chemical and Biomolecular Engineering was honored with the ‘International Cooperation Grand Prize’ for establishing the T2KN consortium between Korea, Japan, China, and ASEAN, facilitating global academic exchange for over 120 students.
KAIST President Kwang-Hyung Lee stated, “The true spirit of KAIST lies in the dedication of our members who venture into uncharted territories and strive to transcend existing limits. I hope today serves as a moment for all our members to share in the joy and celebrate the remarkable achievements of our awardees.”
Distinguished Professor Sang Yup Lee Receives the AIBN Translational Research Award from the University of Queensland, Australia
<Distinguished Professor Sang Yup Lee immediately after receiving the AIBN Medal (AIBN Translational Research Award)>
KAIST announced on February 9th that Sang Yup Lee, Distinguished Professor of Chemical and Biomolecular Engineering (and Vice President for Research), was presented with the AIBN Medal (AIBN Translational Research Award) on February 3rd (local time) at the Australian Institute for Bioengineering and Nanotechnology (AIBN), located at the University of Queensland (UQ) in Brisbane, Australia.
The AIBN Medal is awarded to recognize translational research achievements that extend biotechnological research into industrial and social value. It is often described as an award for "achievements that do not let research end in the laboratory." Rather than focusing solely on the number of papers or citations, the award prioritizes industrial applicability, technology dissemination, international cooperation, and social impact. It is a symbolic global award in the field of translational research presented by AIBN, a world-class research hub for synthetic biology, metabolic engineering, and biomanufacturing. The medal was personally presented by Professor Sue Harrison, Deputy Vice-Chancellor (Research) at the University of Queensland.
<Professor Sue Harrison, Deputy Vice-Chancellor of UQ, personally presenting the medal>
During his commemorative lecture, Distinguished Professor Sang Yup Lee spoke on the topic of "Systems Metabolic Engineering for Chemical Production," presenting a future vision for sustainable biomanufacturing and synthetic biology technologies.
<Vice President for Research giving the award lecture on Systems Metabolic Engineering for Chemical Production>
For approximately 32 years at KAIST, Distinguished Professor Sang Yup Lee has pioneered research in metabolic engineering, synthetic biology, and systems biotechnology. To date, he has accumulated world-class research achievements, including 798 papers in international journals, 868 patents (registered and filed), over 3,000 presentations at domestic and international conferences, and approximately 690 keynote and invited lectures.
Furthermore, he has contributed to establishing the academic framework of the field through numerous publications, such as Metabolic Engineering, Systems Biology and Biotechnology of Escherichia coli, and Systems Metabolic Engineering.
In its official announcement, AIBN stated the background for the award: "Distinguished Professor Sang Yup Lee is a world-renowned scholar in the field of systems metabolic engineering who has made continuous and meaningful contributions not only to academic influence but also to the University of Queensland and the Australian research ecosystem." Notably, Professor Lee played a key role in establishing research strategies during the early days of AIBN (2006–2007). His collaboration has since expanded from sugar-based biomanufacturing to synthetic aviation fuels and waste-gas fermentation-based bioprocessing.
This collaboration led to global joint research with entities such as Amyris (a US-based bio-chemical and fuel company), UC Berkeley, LanzaTech (a global leader in waste-gas fermentation), and SkyNRG (a Dutch company leading the development of Sustainable Aviation Fuel, SAF). These efforts served as a vital foundation for the University of Queensland to become Australia’s representative research hub in synthetic biology and systems metabolic engineering.
Professor Lee is an International Member of the National Academy of Sciences (NAS) and the National Academy of Engineering (NAE) in the US, a Foreign Member of The Royal Society in the UK, and a Foreign Member of the Chinese Academy of Engineering. He also serves as the Co-Chair of the Global Future Council on Biotechnology for the World Economic Forum (WEF), continuing his international activities across academia, policy, and industry.
In his acceptance speech, Vice President Sang Yup Lee remarked, "I believe this AIBN Medal is not just an individual achievement, but the fruit of long-standing cooperation between researchers from KAIST, UQ, and Korea and Australia. It is a meaningful award that demonstrates how research in systems metabolic engineering and synthetic biology can lead to solutions for sustainable industry and social issues." He added, "Moving forward, I will continue to strengthen global research cooperation and translational research to ensure that biotechnology provides tangible value to human life."
KAIST President Kwang Hyung Lee commented, "This award goes beyond the personal excellence of Distinguished Professor Sang Yup Lee; it is a case where KAIST’s research capabilities and international cooperation strategies have been recognized globally. KAIST will continue to lead translational research where results spread to industry and society, contributing to the sustainable bio-industry and the resolution of global challenges through cooperation with global partners."
Meanwhile, Distinguished Professor Sang Yup Lee was originally named the inaugural recipient of the 1st AIBN Medal in 2016. However, the official ceremony was delayed due to scheduling conflicts and the COVID-19 pandemic, leading to his attendance and formal receipt of the award nearly 10 years later.
Selection of the 'Proud Alumni Award' Recipients
<(From left) Donggeun Yoo, CAIO of Lunit / Eun-kang Song, CEO of Capstone Partners / Sang Ouk Kim, Professor of Materials Science and Engineering at KAIST/ Sung-soo Kim, Special Professor at Yonsei University/ Byung Jin Cho, Professor of Electrical Engineering at KAIST/ Joongi Kim, CTO of Lablup>
KAIST announced on January 16th that the Alumni Association has selected the recipients of the 'KAIST Proud Alumni Award.'
Starting this year, the 'KAIST Proud Alumni Award' has been expanded and reorganized into six categories—Innovative Entrepreneurship, Industrial Contribution, Academic Research, Public Innovation, Social Service, and Young Alumni—to broadly highlight the achievements of alumni active in various fields. The award ceremony will be held at the '2026 KAIST New Year's Gala' at 5 p.m. on the 16th at the EL Tower in Seoul.
Donggeun Yoo, Chief Artificial Intelligence Officer (CAIO) of Lunit Inc. (B.S. 2011, M.S. 2013, Ph.D. 2019, School of Electrical Engineering), was selected as the recipient of the Innovative Entrepreneurship category. CAIO Yoo co-founded Lunit, a first-generation deep learning AI startup in Korea, in 2013, leading AI technology in the field of cancer diagnosis and treatment. Recently, he contributed to strengthening national competitiveness in the medical AI industry by leading the 'AI-specialized Foundation Model Project.'
In the Industrial Contribution category, Eun-kang Song, CEO of Capstone Partners (M.S. 1988, School of Computing), was named. CEO Song is the person who established the early-stage investment-centered strategy in the domestic venture capital industry. Over the past 28 years, he has led the development of the venture ecosystem by growing companies into unicorns through more than 200 investments.
The recipient of the Academic Research category, Sang Ouk Kim, Professor of Materials Science and Engineering at KAIST (B.S. 1994, M.S. 1996, Ph.D. 2000, Dept. of Chemical and Biomolecular Engineering), opened a new horizon in new material research by identifying the liquid crystallinity of graphene oxide for the first time in the world. This research is evaluated as a core original technology that enabled the mass production of high-purity graphene, serving as an example of the industrial expansion of basic research.
The Public Innovation category was awarded to Sung-soo Kim, Special Professor at the College of Engineering, Yonsei University (former Chairman of the Science and Technology Professionals Community) (Ph.D. 1988, Dept. of Chemistry). During his tenure as the Vice Minister of Science, Technology, and Innovation, Professor Kim established a pan-governmental technology self-reliance system for materials, parts, and equipment in response to Japanese export restrictions and led the innovation of national R&D governance.
Byung Jin Cho, Professor of the School of Electrical Engineering at KAIST (M.S. 1987, Ph.D. 1991, School of Electrical Engineering), was selected for the Social Service category. Since founding a campus club in 2010, Professor Cho has practiced continuous mentoring and sharing for 15 years, supporting the academic studies and settlement of international students.
Joongi Kim, Chief Technology Officer (CTO) and co-founder of Lablup Inc. (B.S. 2010, M.S. 2012, Ph.D. 2016, School of Computing), who received the Young Alumni award given to talents aged 40 or younger, developed an open-source-based AI infrastructure management platform and proved technological competitiveness in the global market by registering core GPU fractional virtualization technology as patents in Korea, the U.S., and Japan.
Kwang Hyung Lee, President of KAIST, said, "This year's awardees are role models for KAISTians who have contributed to the development of society and the nation with outstanding achievements. These challenges and achievements of our seniors will inspire juniors and contribute to spreading the innovative values of KAIST."
Yun-tae Lee, the 27th President of the KAIST Alumni Association, stated, "The six awardees are the protagonists who have practiced the values of KAISTians across academia, industry, public, and society. The Alumni Association will continue to serve as a link for the achievements of alumni to spread into society."
Meanwhile, the newly elected 28th President of the Alumni Association, Hoo-sik Kim, is scheduled to begin his term in February 2026.
Professor Insik Shin Becomes First Korean to Win the RTSS Most Influential Paper Award
< KAIST Professor Insik Shin >
KAIST announced on December 21st that Professor Insik Shin from the School of Computing has received the Influential Paper Award 2025 at the IEEE Real-Time Systems Symposium (RTSS), the world's most prestigious international conference in the field of real-time systems.
This honor is a "Test of Time Award," presented to papers that have exerted a sustained and significant influence on both academia and industry for more than 10 years after publication. This marks the first time a Korean researcher has received this prestigious award. The ceremony took place at IEEE RTSS 2025 in Boston, USA, on December 4th (local time).
Professor Shin’s award-winning research is the "Periodic Resource Model," co published in 2003 with Professor Insup Lee of the University of Pennsylvania. Rather than trying to verify a complex machine or system all at once, this study developed a method to verify individual components—much like LEGO blocks—to ensure each meets its designated timing requirements. It mathematically guarantees that when these components are assembled, the entire system will operate safely.
Paper Title: Periodic Resource Model for Compositional Real-Time Guarantees
DOI: 10.1109/REAL.2003.1253249
Thanks to this research, it has become possible to design real-time systems that cannot tolerate even a moment of delay—such as autonomous vehicles, aircraft, and industrial robots—with greater precision and safety. This breakthrough overcame the limitations of existing methods that required analyzing an entire system at once, which had become nearly impossible as the complexity of modern real-time systems increased rapidly.
Professor Shin presented a method to divide a system into small modules, verify that each module satisfies its time constraints, and mathematically prove that the safety of the entire system is guaranteed upon integration. This work is credited with establishing the foundation for modern compositional real-time scheduling theory.
At the time of its initial publication in 2003, this paper won the 'Best Paper Award' at RTSS—another first for a Korean researcher. Now, 20 years later, its academic and industrial value has been officially recognized once again. This is because the theory has transcended academic boundaries to become a core analytical tool in various safety-critical industries, including autonomous driving, aerospace control, and industrial automation.
The IEEE Technical Committee stated, "This model has established itself as a core language for modern real-time system design and has guided the direction of research and industry for the past 20 years." The paper is currently featured in textbooks at major universities in the United States and Europe, serving as a standard theory in the field.
"As a scholar, this is the award I have wanted most in my life," said Professor Shin. "I am honored to have it recognized that research from 20 years ago has truly had a major impact on the world. This was made possible by the many researchers and companies who applied this theory to actual systems."
Meanwhile, Professor Shin is expanding his research beyond real-time systems into the field of Artificial Intelligence (AI). He founded the faculty-led startup Fluiz and developed FluidGPT, a mobile AI agent technology that allows users to execute smartphone apps via voice commands. This technology recently won the AI Champion Competition hosted by the Ministry of Science and ICT. Experts evaluate Professor Shin as achieving rare success by bridging basic theory and applied technology, effectively linking research to industry.
KAIST Predicts Human Group Behavior with AI! 1st Place at the World’s Top Conference… Major Success after 23 Years
<(From Left) Ph.D candidate Geon Lee, Ph.D candidate Minyoung Choe, M.S candidate Jaewan Chun, Professor Kijung Shin, M.S candidate Seokbum Yoon>
KAIST (President Kwang Hyung Lee) announced on the 9th of December that Professor Kijung Shin’s research team at the Kim Jaechul Graduate School of AI has developed a groundbreaking AI technology that predicts complex social group behavior by analyzing how individual attributes such as age and role influence group relationships.
With this technology, the research team achieved the remarkable feat of winning the Best Paper Award at the world-renowned data mining conference “IEEE ICDM,” hosted by the Institute of Electrical and Electronics Engineers (IEEE). This is the highest honor awarded to only one paper out of 785 submissions worldwide, and marks the first time in 23 years that a Korean university research team has received this award, once again demonstrating KAIST’s technological leadership on the global research stage.
Today, group interactions involving many participants at the same time—such as online communities, research collaborations, and group chats—are rapidly increasing across society. However, there has been a lack of technology that can precisely explain both how such group behavior is structured and how individual characteristics influence it at the same time.
To overcome this limitation, Professor Kijung Shin’s research team developed an AI model called “NoAH (Node Attribute-based Hypergraph Generator),” which realistically reproduces the interplay between individual attributes and group structure.
NoAH is an artificial intelligence that explains and imitates what kinds of group behaviors emerge when people’s characteristics come together. For example, it can analyze and faithfully reproduce how information such as a person’s interests and roles actually combine to form group behavior.
As such, NoAH is an AI that generates “realistic group behavior” by simultaneously reflecting human traits and relationships. It was shown to reproduce various real-world group behaviors—such as product purchase combinations in e-commerce, the spread of online discussions, and co-authorship networks among researchers—far more realistically than existing models.
< The process of generating group interactions using NoAH >
Professor Kijung Shin stated, “This study opens a new AI paradigm that enables a richer understanding of complex interactions by considering not only the structure of groups but also individual attributes together,” and added, “Analyses of online communities, messengers, and social networks will become far more precise.”
This research was conducted by a team consisting of Professor Kijung Shin and KAIST Kim Jaechul Graduate School of AI students: master’s students Jaewan Chun and Seokbum Yoon, and doctoral students Minyoung Choe and Geon Lee, and was presented at IEEE ICDM on November 18.
※ Paper title: “Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes” Original paper: https://arxiv.org/abs/2509.21838
< Photo from the award ceremony held on November 14 at the International Spy Museum in Washington, D.C.>
Meanwhile, including this award-winning paper, Professor Shin’s research team presented a total of four papers at IEEE ICDM this year. In addition, in 2023, the team also received the Best Student Paper Runner-up (4th place) at the same conference.
This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. RS-202400457882, AI Research Hub Project) (RS-2019-II190075, Artificial Intelligence Graduate School Program (KAIST)) (No. RS-2022-II220871, Development of AI Autonomy and Knowledge Enhancement for AI Agent Collaboration).
Professor Youngjin Kwon's Team Wins Google Award 'Catches Bugs Without a Real CPU
< Professor Youngjin Kwon >
Modern CPUs have complex structures, and in the process of handling multiple tasks simultaneously, an order-scrambling error known as a 'concurrency bug' can occur. Although this can lead to security issues, these bugs were extremely difficult to detect using conventional methods. Our university's research team has developed a world-first-level technology to automatically detect these bugs by precisely reproducing the internal operation of the CPU in a virtual environment without needing a physical chip. Through this, they successfully found and fixed 11 new bugs in the latest Linux kernel.
Our university announced on the 21st that the research team led by Professor Youngjin Kwon of the School of Computing has won the 'Research Scholar Award' (Systems category) presented by Google.
The Google Research Scholar Award is a global research support program, implemented since 2020, to support Early-Career Professors conducting innovative research in various fields such as AI, Systems, Security, and Data Management.
It is known as a highly competitive program, with the selection process conducted directly by Google Research scientists, and only a tiny fraction of the hundreds of applicants worldwide are chosen. In particular, this award is recognized as one of the most prestigious industry research support programs globally in the field of AI and Computer Systems, and domestic recipients are rare.
■ Technology Developed to Detect Concurrency Bugs in the Latest Apple M3 and ARM Servers
Professor Kwon's team developed a technology that automatically detects concurrency bugs in the latest ARM (a CPU design method that uses less power and is highly efficient) based servers, such as the Apple M3 (Apple's latest-generation computer processor chip).
A concurrency bug is an error that occurs when the order of operations gets mixed up while the CPU handles multiple tasks simultaneously. This is a severe security vulnerability that can cause the computer to suddenly freeze or become a pathway for hackers to attack the system. However, these errors were extremely difficult to find with existing testing methods alone.
■ Automatically Detects Bugs by Reproducing CPU Internal Operations Without a Real CPU
The core achievement of Professor Kwon's team is the 'technology to reproduce the internal operation of the CPU exactly in a virtual environment without a physical chip.' Using this technology, it is possible to precisely analyze the order in which instructions are executed and where problems occur using only software, without having to disassemble the CPU or use the actual chip.
By running the Linux operating system based on this system to automatically detect bugs, the research team discovered 11 new bugs in the latest Linux kernel* and reported them to the developer community, where they were all fixed.
*Linux kernel: The core operating system engine that forms the basis of servers, supercomputers, and smartphones (Android) worldwide. It acts as the 'heart' of the system, managing the CPU, memory, and storage devices.
Google recognized this technology as 'very important for its own infrastructure' and conferred the Award.
< Google Scholar Award Recipient Page >
This technology is evaluated to have general applicability, not only to Linux but also to various operating systems such as Android and Windows. The research team has released the software as open-source (GitHub) so that anyone in academia or industry can utilize it.
Professor Youngjin Kwon stated, "This award validates the international competitiveness of KAIST's systems research," and "We will continue our research to establish a safe and highly reliable computing environment."
※ Google Scholar Award Recipient Page: https://research.google/programs-and-events/research-scholar-program/recipients/ GitHub (Technology Open-Source): https://github.com/casys-kaist/ozz
AI Nüshu Wins International Award
< (From left) Dr. Yuqian Sun, Professor Chang-Hee Lee of the Department of Industrial Design, and Ali Asadipour, Director of CSRC at the Royal College of Art >
'Nüshu (女書)' is the world's only women's script, a unique writing system created autonomously by women in Hunan Province, China, starting around the 19th century. These women, excluded from Hanzi education, used it to record their lives and communicate with each other. A research team from KAIST participated in the 'AI Nüshu (女书)' project, which combines the script's significance (creation amidst oppression, female solidarity, linguistic experimentation) with modern technology, winning a prestigious international award often called the 'Academy Award of the media art world.'
KAIST announced on the 10th that the 'AI Nüshu' project, jointly conducted by Professor Chang-Hee Lee's research team from the Department of Industrial Design and Ali Asadipour, Director of the Computer Science Research Center at the Royal College of Art (RCA), was selected for the Honorary Mention in the Digital Humanity category at the 'Prix Ars Electronica 2025,' the world's highest-level media art festival.
< Installation image of 'AI Nüshu' >
The 'Prix Ars Electronica,' known as the 'Academy Award of the media art world,' is the premier international media art competition held annually in Linz, Austria. This competition, which discovers innovative works spanning the boundaries of art and science, saw 3,987 submissions from 98 countries this year, with only two works receiving the honor in the Digital Humanity category.
The award-winning work, 'AI Nüshu (女书),' is based on 'Nüshu,' the world's only women's script created by Chinese women who were excluded from literacy education to record and communicate their lives.
The KAIST research team and collaborators combined this script with Computational Linguistics to create an installation that visitors can directly experience.
The artificial intelligence within the artwork learns the communication methods of pre-modern Chinese women and generates its own new language. This is regarded as a symbol of resistance against the patriarchal order and a feminist endeavor that moves beyond Western-centric views on language.
< Example of the same sentence expressed in English, Chinese, Nüshu, and AI Nüshu >
It also received high praise for artistically presenting the possibility of machines creating new languages, going beyond the preconception that 'only humans create language.'
Dr. Yuqian Sun of the Royal College of Art expressed her feelings, saying, "Although there were many difficulties in my life and research process, I feel great reward and emotion through this award."
Professor Chang-Hee Lee of the KAIST Department of Industrial Design stated, "It is very meaningful that this contemplative art, born from the intersection of history, humanities, art, and technology, has led to such a globally prestigious award."
Detailed information about the project can be found on the official Prix Ars Electronica website (https://ars.electronica.art/prix/en/digitalhumanity/).
KAIST President Kwang Hyung Lee Receives France's Highest Honor, the 'Légion d'Honneu
<(From left) French Ambassador Philippe Bertoux, KAIST President Kwang Hyung Lee>
KAIST announced on Thursday, September 11 that president Kwang Hyung Lee will be awarded the Officier (Officer) medal of the Légion d'Honneur, France's highest honor, at 3 p.m. at the French Ambassador's residence in Korea.
The Légion d'Honneur is the highest-ranking order of merit bestowed by the French government to individuals who have contributed to the development of France and the international community in various fields such as military, academia, culture, science, and industry. The award recognizes President Lee's academic and scientific achievements as the head of KAIST and his significant contributions to strengthening the close cooperative relationship between Korea and France.
<Légion d’Honneur “Officier” Badge>
As an alumnus of the Institut National des Sciences Appliquées de Lyon (INSA Lyon), President Kwang Hyung Lee has long led Franco-Korean cooperation in research and innovation. In 2003, he was awarded the Chevalier (Knight) medal of the French Ordre des Palmes Académiques (Order of Academic Palms)
Since taking office as president, he has further focused on global collaboration, expanding joint projects and academic exchanges with French universities and research institutions, including École Polytechnique. He has also encouraged interdisciplinary convergence research and emphasized entrepreneurship to ensure that research outcomes lead to commercialization and industrialization. He has expanded international cooperation, including establishing a partnership with New York University (NYU) and securing a Silicon Valley campus, and has contributed to the development of friendly relations between the two countries as a member of the Korea-France Club.
<President Kwang Hyung Lee Receiving the Medal from the French Ambassador>
In a congratulatory letter, French Ambassador to Korea Philippe Bertoux stated, "This award is a tribute to President Kwang Hyung Lee's exceptional academic and scientific achievements, and we highly appreciate his forward-looking vision demonstrated through the promotion of Franco-Korean cooperation and the strengthening of international partnerships." He added, "We hope this will serve as a catalyst for further strengthening the cooperation between our two countries."
President Lee expressed his feelings by saying, "It is a great honor to receive France's highest-ranking order of merit. Based on the spirit of open science that KAIST pursues, I will further expand global research cooperation to prepare for the future of humanity with France, Korea, and the international community."
The Légion d'Honneur was established by Napoleon Bonaparte in 1802 and has since been awarded to prominent figures from around the world. In the field of science, recipients include Marie Curie (a two-time Nobel laureate) and Alexander Fleming (discoverer of penicillin). Political and diplomatic recipients include Nelson Mandela and Queen Elizabeth II. In the cultural and artistic fields, Audrey Hepburn, Steven Spielberg, and Elton John have received the medal.
<Group Photo at French Medal Awarding Ceremony>
With this award, KAIST plans to further strengthen its cooperation with France and, building on this, expand joint research and talent exchanges with the international community to establish itself as a leading model for global scientific and technological cooperation.
Professor Jae-woong Jeong Wins September's Scientist and Engineer of the Month Award
<Professor Jae-Woong Jeong from Department of Electrical and Electronic Engineering>
The Ministry of Science and ICT and the National Research Foundation of Korea have announced that Professor Jae-Woong Jeong from KAIST Department of Electrical and Electronic Engineering has been selected as the September recipient of the "Scientist of the Month" award.
The "Scientist of the Month" award recognizes researchers who have made a significant contribution to the development of science and technology by creating unique R&D achievements over the past three years. The award is given to one person each month and includes a commendation from the Minister of Science and ICT and a 10 million KRW prize, funded by the Science and Technology Promotion Fund/Lottery Fund of the Ministry of Science and ICT. In the lead-up to "World Patient Safety Day (September 17)," the Ministry of Science and ICT and the National Research Foundation selected Professor Jeong Jae-Woong as the award recipient for his contribution to healthcare innovation through convergence research on wearable and implantable electronic devices and medical instruments, including the development of an intravenous (IV) needle that softens in response to body temperature to enhance patient safety.
Intravenous injection is a treatment method that involves directly injecting medication into a blood vessel. It is widely used in the medical field due to its ability to provide rapid and continuous drug effects. However, conventional IV needles, made of rigid metal or plastic, can damage blood vessel walls or cause complications like phlebitis. Furthermore, there is a risk of needle-stick injuries and subsequent disease transmission for medical professionals during the disposal process.
Professor Jae-Woong Jeong developed a variable-stiffness* needle that is rigid at room temperature but softens like biological tissue when inserted into the body. This innovation utilizes the unique property of the liquid metal gallium, which changes from a solid to a liquid phase in response to body temperature. * Variable-stiffness: The characteristic of being able to adjust the level of rigidity (stiffness) according to a situation or condition.
The variable-stiffness needle not only ensures a patient's free movement but also maintains a soft state at room temperature after use, preventing needle-stick accidents for medical professionals and fundamentally eliminating the issue of unethical needle reuse.
< An intravenous needle that softens with body temperature. Intravenous injection is a treatment method that involves directly injecting medication into a blood vessel, which allows for a rapid and continuous supply of drugs, making it a globally accepted form of patient care. This research utilized the property of liquid metal gallium, which changes from a solid to a liquid state in response to body temperature, to develop a variable-stiffness intravenous needle that is rigid but softens like tissue upon insertion into the body. This needle allows for stable drug delivery without damaging blood vessels, even when the patient moves. Furthermore, the irreversible softening due to the supercooling phenomenon of gallium can fundamentally prevent post-use needle-stick injuries or unethical reuse, contributing to the safety of both patients and medical staff. This variable-stiffness technology is expected to be widely utilized in the implementation of various wearable and implantable devices that can change their properties according to different situations and purposes. >
Furthermore, Professor Jae-woong Jung focused on the phenomenon in which the temperature of surrounding tissue decreases when a drug leaks during intravenous (IV) injection. He developed a function that enables real-time monitoring of local body temperature by integrating a nanofilm temperature sensor into an IV needle, thereby allowing real-time detection of IV drug leakage.
This research achievement, which presents a new vision for promoting patient health and ensuring medical staff safety as required by the World Health Organization (WHO), was published as the cover article of the international journal Nature Biomedical Engineering in August 2024.
Professor Jae-Woong Jeong stated, “This research is highly significant as it proposes a way to overcome the problems caused by conventional rigid medical needles and solves the infection risks from needle-stick injuries or reuse.” He added, “I will continue to dedicate my efforts to R&D so that variable-stiffness needle technology can evolve into a core technology in the medical field, enhancing the safety of both patients and medical professionals.
To provide more robust support to researchers who lead such outstanding achievements, the Ministry of Science and ICT has prepared a record-high R&D budget of 11.8 trillion KRW (government proposal), including the Life Sciences (Bio) Medical Technology Development Project (361.1 billion KRW in '25 → 434.3 billion KRW in '26, proposed). The Ministry plans to strengthen investment in future industries, such as advanced life sciences, and will further reinforce rewards and recognition for researchers who produce excellent results to foster a researcher-centric R&D ecosystem.