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IEEE President Professor Kramer Holds Special Lecture on Artificial Intelligence in the Electrical Engineering Department
Kathleen A. Kramer, President of the IEEE (Institute of Electrical and Electronics Engineers), the world's largest technical professional organization dedicated to electrical and electronic technology, visited our university on the 30th and delivered a special lecture under the theme, 'Drawing the Future of Artificial Intelligence Together.'
< IEEE Leadership and KAIST EE Meeting KITIS Director (Sung-Hyun Hong), KAIST EE Professors (Joonwoo Bae), (Ian Oakley), (Hye-Won Jeong), (Chang-Shik Choi), (Dong-Soo Han), Head of EE Department (Seunghyup Yoo), IEEE President (Kathleen A. Kramer), IEEE Senior Sales Director (Francis Staples), IEEE Regional Manager for APAC (Ira Tan), KAIST EE Professor (Hee-Jin Ahn), Head of Semiconductor System Engineering Department (Sung-Hwan Cho)>
Standing at the colloquium podium by invitation of the Department of Electrical Engineering (Head: Seung-Hyup Yoo), President Kramer emphasized based on IEEE's core vision, 'Advancing Technology for Humanity,' that "Artificial Intelligence (AI) is no longer a concept of the distant future; it has become a technology that is transforming human lives at the center of innovation."
< Photo of IEEE President's KAIST EE Colloquium Lecture >
She further added, "Technology must advance with human values at its core, and AI based on ethics and inclusiveness can lead to true innovation," sharing her insights on the direction of AI development and the social responsibility of technology.
Seung-Hyup Yoo, Head of the Department of Electrical Engineering, stated, "We expect President Kramer's visit to be a stepping stone that will not only widely promote our department's capabilities in advanced fields such as AI, semiconductors, signal processing, and robotics to the international academic community but also strengthen cooperation in various ways."
< Tea Meeting with the IEEE Leadership and the Vice Presidents . KITIS Director (Sung-Hyun Hong), IEEE Senior Sales Director (Francis Staples), IEEE President (Kathleen A. Kramer), KAIST Executive Vice President for Research (Sang Yup Lee), Head of EE Department (Seunghyup Yoo), IEEE Regional Manager for APAC (Ira Tan)>
Meanwhile, prior to the lecture, President Kramer paid a courtesy visit to Sang-Yup Lee, KAIST Executive Vice President for Research, and reaffirmed the commitment of both organizations to advancing sustainable technology and building an ethical and inclusive research ecosystem to contribute to a better life for humanity.
2025.11.06 View 132 -
KAIST's 'FluidGPT' Wins Grand Prize at the 2025 AI Champion Competition
<Commemorative Photo After Winning at the 2025 AI Champions Award Ceremony>
The era has begun where an AI assistant goes beyond simple conversation to directly view the screen, make decisions, and complete tasks such as hailing a taxi or booking an SRT ticket.
KAIST (President Kwang Hyung Lee) announced on the 6th that the AutoPhone Team (Fluidez, KAIST, Korea University, Sungkyunkwan University), led by Professor Insik Shin (CEO of Fluidez Co., Ltd.) of the School of Computing, was selected as the inaugural AI Champion (1st place) in the '2025 Artificial Intelligence Champion (AI Champion) Competition,' hosted by the Ministry of Science and ICT.
This competition is the nation's largest AI technology contest, comprehensively evaluating the innovativeness, social impact, and commercial potential of AI technology. With 630 teams participating nationwide, the AutoPhone Team claimed the top honor and will receive 3 billion Korean won in research and development funding.
The technology developed by the AutoPhone Team, 'FluidGPT,' is a fully autonomous AI agent that understands a user's voice command and enables the smartphone to independently run apps, click, input, and even complete payments.
For example, when a user says, "Book an SRT ticket from Seoul Station to Busan," or "Call a taxi," FluidGPT opens the actual app and sequentially performs the necessary steps to complete the request.
The core of this technology is its 'Non-Invasive (API-Free)' structure. Previously, calling a taxi using an app required directly connecting to the app's internal system (API communication) through the taxi app's API. In contrast, this technology does not modify the existing app's code or link an API. Instead, the AI directly recognizes and operates the screen (UI), acquiring the ability to use the smartphone just like a human.
As a result, FluidGPT presents a new paradigm—"AI that sees, judges, and moves a hand on behalf of a person"—and is evaluated as a core technology that will usher in the 'AI Phone Era.'
FluidGPT moves beyond simple voice assistance to implement the concept of 'Agentic AI' (Action-Oriented Artificial Intelligence), where the AI directly views the screen, makes decisions, and takes action. As a fully action-oriented system, the AI clicks app buttons, fills in input fields, and references data to autonomously achieve the user's objective, foreshadowing an innovation in how smartphones are used.
Professor In-sik Shin of the School of Computing shared his thoughts, stating, "AI is now evolving from conversation to action. FluidGPT is a technology that understands the user's words and autonomously executes actual apps, and it will be the starting point of the 'AI Phone Era.' The AutoPhone Team possesses world-class research capabilities, and we will contribute to the widespread adoption of AI services that everyone can easily use."
KAIST President Kwang Hyung Lee remarked, "This achievement is a representative example that demonstrates KAIST's vision for AI convergence," adding, "AI technology is entering the daily lives of citizens and leading a new wave of innovation." He further added, "KAIST will continue to lead research in future core technologies such as AI and semiconductors to bolster national competitiveness."
2025.11.06 View 356 -
KAIST and the World Bank Launch Digital Innovation Initiative to Boost Youth Employment in East Africa
Daejeon, Republic of Korea — November 2025 — KAIST has joined forces with the World Bank to launch a new initiative aimed at advancing youth employment and social protection systems through digital innovation in East Africa. The project, titled “Enhancing Youth Employment Policies through Digital Technologies,” will be implemented in Rwanda, Kenya, and Tanzania over the next three years.
The initiative is jointly led by Professor Kyung Ryul Park of the KAIST Graduate School of Science and Technology Policy, John Van Dyck, Director of the World Bank’s Social Protection and Labor (SPL) Global Practice, and Yoon Young Cho, Senior Economist at the World Bank. Supported by the Korea–World Bank Partnership Facility (KWPF), the project is funded at approximately KRW 1.4 billion (USD 980,000) and will run through 2028.
The collaboration aims to strengthen youth employment and advance the digital transformation of social protection systems in East Africa. In many developing countries, such systems are still managed manually, resulting in inefficiencies and inaccuracies. To address these challenges, the project will establish AI- and big data–driven digital social registry systems that enhance transparency, accuracy, and efficiency in social service delivery.
Beyond technology transfer, the project will also explore broader social and policy challenges that arise in digital labor markets — including algorithmic bias, ethical considerations in AI, and new forms of inequality. Through this work, the partners aim to develop a new model for an “inclusive AI transition,” ensuring that technological innovation contributes to social inclusion and sustainable development. Findings from the project will be published in World Bank reports and policy briefs.
As a global leader in digital governance and data-driven policymaking, South Korea’s experience is expected to play a key role in helping East African governments design and implement resilient, inclusive, and data-based labor and social protection systems.
The KAIST Global Center for Development and Strategy (G-CODEs) will organize two international workshops in collaboration with the Korea Development Institute (KDI), the Ministry of Employment and Labor of Korea, and the Kenya Advanced Institute of Science and Technology (Kenya-AIST). These workshops will help local officials build capacity in applying digital technologies, while providing KAIST researchers and students with hands-on experience in global development cooperation.
A kickoff workshop was held during the World Bank Annual Meetings earlier this month, with participation from Professors Kyung-Ryul Park and Seok-Kyun Woo (Graduate School of Science and Technology Policy), Dean Ji-Yong Eom (Graduate School of Green Growth and Sustainability), Researcher Seung-Hyun Kim, and Consultant Ji-Su Sim (M.S. Class of 2025, STP).
“This collaboration is not merely a technical project but an innovative effort to digitally connect youth employment and social protection systems,” said John Van Dyck, Director of the World Bank SPL Global Practice. “It will help East African governments design sustainable and inclusive digital labor infrastructures.”
Yoon Young Cho, Senior Economist at the World Bank, added, “The project seeks to digitalize social protection systems in East Africa to promote youth employment and social inclusion, focusing on building sustainable, government-led public digital solutions.”
Professor Kyung-Ryul Park of KAIST stated, “Through this partnership with the World Bank, we hope to support inclusive development in East Africa while offering KAIST researchers and students valuable opportunities to learn and grow through real-world international cooperation.”
2025.11.05 View 582 -
KAIST Welcomes NVIDIA CEO Jensen Huang’s Cooperation Initiative “Strengthening Collaboration in AI and Robotics Innovation”
KAIST (President Kwang Hyung Lee) announced its strong support for the meeting between Korean President Jae-myung Lee and NVIDIA CEO Jensen Huang on October 31, where both sides discussed strategies to advance Korea’s AI ecosystem.
KAIST stated that the meeting marks “a significant turning point for Korea’s AI innovation and global cooperation.” During the discussion, NVIDIA, a global leader in artificial intelligence, explored partnership opportunities with the Korean government to realize its vision of becoming one of the “Top Three AI Nations” and achieving an “AI-based Society.”
NVIDIA also unveiled plans to expand Korea’s AI computing infrastructure by introducing more than 260,000 of its latest GPUs, while strengthening technology cooperation to meet both public and private sector AI demand.
The meeting covered a wide range of potential collaborations, including:
Building advanced AI infrastructure, joint research and technology cooperation in physical AI (AI in robotics, autonomous systems, and manufacturing), and
expanding AI talent development and startup support programs.
At the APEC CEO Summit, NVIDIA CEO Jensen Huang said, “NVIDIA’s goal is not only to provide hardware to Korea, but to help build a sustainable AI ecosystem. And we will work closely with AI researchers in Korea universities, amazing university like KAIST, startups, the government, and research institutions to become the AI Frontier.”
He further emphasized that, “The evolution of AI will inevitably converge with robotics. Realizing autonomous robots and robotic factories that can work alongside humans represents the next stage and ultimate goal of AI technology.”
As Korea’s leading AI research institution, KAIST has long collaborated with government and industry partners in key areas such as AI semiconductors, autonomous driving, robotics, digital twins, and quantum computing.
Building on this dialogue, KAIST plans to further strengthen its partnership with NVIDIA and major domestic industries through next-generation AI semiconductor and HBM (High Bandwidth Memory) research, physical AI applications in robotics and autonomous systems, hands-on AI education and talent development, and global open innovation through academia–industry joint research.
KAIST President Kwang Hyung Lee stated: “AI is the core driver of national competitiveness. Jensen Huang’s visit represents a symbolic milestone as Korea emerges as a global leader in AI.” He added: “Huang’s vision of integrating AI and robotics aligns perfectly with KAIST’s research direction. KAIST will continue to work closely with NVIDIA to build an AI innovation ecosystem that benefits humanity.”
Following CEO Huang’s proposal, KAIST will further concretize its collaboration with NVIDIA and expand partnerships with both global enterprises and domestic industries.
Through these efforts, KAIST aims to advance AI research clusters, develop next-generation AI computing platforms, nurture AI professionals, and foster a vibrant startup ecosystem, contributing continuously to Korea’s global AI competitiveness.
2025.11.03 View 529 -
Failure in the AI Era? The 3rd Failure Conference Held
< 2025 Failure Conference Poster >
KAIST announced on the 31st of October that it will be holding the '3rd Failure Conference' from Wednesday, November 5th to Friday, November 14th. The event is organized by the KAIST Center for Ambitious Failure (Director Sungho Jo), and, under the theme 'AI times Failure,' it will re-examine the value of humaneness through the sensibility of 'failure' in this era of great transformation led by AI technology.
Composed of lectures, competitions, exhibitions, and networking programs, this conference provides a venue for new introspection on the relationship between humanity, society, and technology through the lens of 'failure.'
Failure Seminar 'AI Era, Asking the Way of Humanity' will be held on November 6th at the Jeong Geun-mo Conference Hall in the Academic and Cultural Complex
Professor Juho Kim of the KAIST School of Computing will discuss the human sensibility and resilience needed in the AI era through the paradox that "AI learns how to fail less, but humans are losing the opportunity to fail. Following this, Professor Sang Wook Lee of the Hanyang University Department of Philosophy will present philosophical and ethical challenges and practical directions for the advancement of AI technology to lead to universal welfare for humanity. The 'AI times Failure Idea Contest' Finals will take place on November 7th at the John Hanner Hall in the Academic and Cultural Complex. 12 teams, selected from preliminaries that included 111 teams from universities and graduate schools nationwide, will demonstrate their ideas in booth form on the theme of 'The Future where AI and Humans Coexist.' Participants will explore AI errors, human limitations, and the possibility of trust and recovery, presenting attempts to convert technological failure into human introspection, and human failure into technological possibility. On the day of the finals, the Grand Prize (KAIST President’s Award), First Prize, and Second Prize will be selected through judging.
The Photography Exhibition '404: Perfection Not Found' will be held on the 1st floor of the Creative Learning Building from November 5th to 14th. This exhibition showcases 'Scenes of Imperfection' captured by KAIST members through the PhotoVoice program and the AI times Failure Snapshot Challenge. It is divided into three sections: ▲ Brain that Mimics Perfection: Failure of AI ▲ Incomplete Connection: Portrait of the Digital Generation ▲ Aesthetics of Imperfection: Warmth of Humanity, providing a space for introspection that illuminates human responsibility and potential through technological failure. The 'Show Off Your Failed Project Contest,' which has garnered great response from KAIST students every year, will be expanded to include general public participation on the 5th at the John Hanner Hall in the Academic and Cultural Complex. Co-planned by the KAIST Center for Ambitious Failure and the student club ICISTS, participants will decorate their own booths with photos and videos to share their failures and the process of overcoming them. Awards such as ▲ Best (Most Votes) ▲ Shining Debris Award (Highly Relatable Failure Story) ▲ Flower of Ash Award (Overcoming Story) ▲ Aesthetics of Failure Award (Creative Expression) ▲ Beautiful Afterimage Award (Sincere Lingering Impression) will be selected through audience voting.
< 2025 Show Off Your Failed Project Contest Poster >
Sungho Jo, KAIST Center for Ambitious Failure (Professor, School of Computing), stated, "As AI technology rapidly evolves and changes the order of the world, humans need to look back at themselves beyond that speed. I hope this Failure Conference will be an opportunity to rediscover the meaning of humaneness amid technological innovation and to imagine a better future." Kwang Hyung Lee, President of KAIST, said, "Failure is another name for challenge, and a seed of innovation. KAIST will lead the AI era and human-centered technological development through a creative spirit of challenge that is not afraid of failure."
All programs for the 2025 Failure Conference are open to anyone interested, and detailed schedules and content can be checked on the webstie of KAIST Center for Ambitious Failure (caf.kaist.ac.kr).
2025.10.29 View 419 -
AI Finds Urban Commercial Districts Resilient to Climate Risk
< (From left) Integrated M.S.-Ph.D candidate Keonhee Jang, Postdoctoral Researcher Namwoo Kim, Professor Yoonjin Yoon, Researcher Seok-woo Yoon, Postdoctoral Researcher Young-jun Park, (Top) M.S candidate Juneyoung Ro >
KAIST announced on October 29th that its Urban AI Research Institute (Director, Distinguished Professor Yoonjin Yoon of Civil and Environmental Engineering conducted joint research in the field of 'Urban AI' with MIT's Senseable City Lab (Director, Professor Carlo Ratti) and disclosed the results at the 'Smart Life Week 2025' exhibition held at COEX, Seoul, in late September.
KAIST and MIT have been pursuing the 'Urban AI Joint Research Program' to interpret major urban problems using artificial intelligence. At this exhibition, the research results were presented in a form that citizens could directly experience, focusing on three themes: ▲Urban Climate Change, ▲Green Environment, and ▲Data Inclusivity.
Through this collaboration, the two institutions demonstrated that AI technology can expand beyond a tool for calculating urban problems to a new intelligence that promotes social understanding and empathy. They carried out three projects: ▲Urban Heat and Sales, ▲Nature That Heals, Seoul, and ▲Data Sonification.
The first project, 'Urban Heat and Sales,' is a study that analyzes the impact of climate change on urban commercial areas and the small business ecosystem using AI. An AI model was trained on over 300 million data points, including sales and weather for 96 business categories across 426 administrative dong (neighborhoods) in Seoul, to quantify the effect of climatic factors, such as temperature and humidity, on sales by industry type.
The results were visualized into 40,896 'Urban Heat Resilience' indicators, which score how well each region and business category can adapt to and recover from climate change. This allows the level of commercial area resilience to climate risk to be grasped at a glance, showing which areas are strong against temperature risks.
According to the study, for the convenience store sector, 64.7% of the total 426 dong were analyzed as 'climate-neutral areas,' which are relatively stable against climate change, while the remaining 35.3% belong to 'climate-sensitive areas,' which are significantly affected by climate change. This suggests that the operating environment for convenience stores varies significantly by region in terms of climate impact, and the data can be utilized for future location strategy planning from an urban resilience perspective.
< '3D Mesh Structure' that visually represents sales data for 426 regions in Seoul. The height and color of each region indicate the scale of sales. The left shows the distribution of sales in Seoul under actual temperature conditions, and the right shows the sales change predicted by AI when the temperature rises by 5 degrees. >
Visitors to the exhibition could select a region and business type on a real Seoul map and experience a system where the AI predicted sales changes in real-time based on future temperature rise scenarios.
This prediction model is a proprietary technology developed by KAIST, and plans are underway to expand cooperation with other major global cities, such as Boston and London. This research is expected to propose a new direction for establishing opening strategies for small business owners and developing urban climate risk response policies.
< Numerous visitors listening to explanations and experiencing the KAIST-MIT exhibition space >
The second project, 'Nature That Heals, Seoul,' is an extension of MIT's global project 'Feeling Nature' to Seoul. It combines urban environment data (Street View, maps, satellite images, etc.) with citizen survey data to train an AI to estimate the 'psychological green'—the actual psychological experience of green spaces felt by Seoul citizens.
This approach goes beyond simply calculating the area of trees or parks, offering new urban design directions that reflect citizens' emotional resilience and well-being. This research is expected to provide scientific evidence for future Seoul green space policies and locally tailored urban design.
The final project, 'Data Sonification,' is the world's first AI technology that translates over 300 million data points into sounds, like music, to be 'heard.' The AI uses data such as temperature, humidity, and sales to represent information through sound: for example, the pitch rises when the temperature goes up, and the sound lowers when sales decrease. This provides a new sensory experience of 'listening' to urban data through sound instead of sight.
This technology is a prime example of 'Barrier-Free AI' (AI for All), an inclusive AI technology that helps people with visual impairments or children—who may have difficulty accessing visual information—to intuitively understand data.
< A visitor experiencing Data Sonification, the world's first AI technology that converts data into sound >
Man-ki Kim, Chairman of the Seoul AI Hub (Seoul AI Foundation), which sponsored this research, stated, "We have achieved meaningful results by analyzing the urban environment and citizens' lives with artificial intelligence through collaboration with world-class research institutions like KAIST and MIT," adding, "This research has laid the groundwork for understanding urban change from the perspective of citizens and connecting it to policy and daily life."
Director Yoonjin Yoon remarked, "This exhibition demonstrated that artificial intelligence can evolve beyond a technology that merely calculates the city to an intelligence that understands and empathizes with people and the city," and concluded, "We will create data and experiences together with citizens, and collaborate with various cities worldwide to open a more inclusive and sustainable urban future."
This achievement is a global collaborative research project in the AI sector involving the KAIST Urban AI Research Institute and the MIT Senseable City Lab, and was conducted with sponsorship from the Seoul AI Hub.
※Research Results Images/Videos: https://05970c0c.slw-6vy.pages.dev/
2025.10.29 View 507 -
“AI,” the New Language of Materials Science and Engineering Spoken at KAIST
<(From Left) M.S candidate Chaeyul Kang, Professor Seumgbum Hong, Ph. D candidate Benediktus Madika, Ph.D candidate Batzorig Buyantogtokh, Ph.D candiate Aditi Saha, >
Collaborating authors include Professor Joshua Agar (Drexel University), Professors Chris Wolverton and Peter Voorhees (Northwestern University), Professor Peter Littlewood (University of St Andrews), and Professor Sergei Kalinin (University of Tennessee).
Paper Title: Artificial Intelligence for Materials Discovery, Development, and Optimization
The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of new materials. Today, AI functions as a researcher’s “second brain,” actively participating in every stage of research, from idea generation to experimental validation.
KAIST (President Kwang Hyung Lee) announced on October 26 that a comprehensive review paper analyzing the impact of AI, Machine Learning (ML), and Deep Learning (DL) technologies across materials science and engineering has been published in ACS Nano (Impact Factor = 18.7). The paper was co-authored by Professor Seungbum Hong and his team from the Department of Materials Science and Engineering at KAIST, in collaboration with researchers from Drexel University, Northwestern University, the University of St Andrews, and the University of Tennessee in the United States.
The research team proposed a full-cycle utilization strategy for materials innovation through an AI-based catalyst search platform, which embodies the concept of a Self-Driving Lab—a system in which robots autonomously perform materials synthesis and optimization experiments.
Professor Hong’s team categorized materials research into three major stages—Discovery, Development, and Optimization—and detailed the distinctive role of AI in each phase:
In the Discovery Stage, AI designs new structures, predicts properties, and rapidly identifies the most promising materials among vast candidate pools.
In the Development Stage, AI analyzes experimental data and autonomously adjusts experimental processes through Self-Driving Lab systems, significantly shortening research timelines.
In the Optimization Stage, AI employs Reinforcement Learning, which identifies optimal conditions through Bayesian Optimization, which efficiently finds superior results with minimal experimentation, to fine-tune designs and process conditions for maximum performance.
In essence, AI serves as a “smart assistant” that narrows down the most promising materials, reduces experimental trial and error, and autonomously optimizes experimental conditions to achieve the best-performing outcomes.
The paper further highlights how cutting-edge technologies such as Generative AI, Graph Neural Networks (GNNs), and Transformer models are transforming AI from a computational tool into a “thinking researcher.” Nonetheless, the team cautions that AI’s predictions are not error-proof and that key challenges persist, such as imbalanced data quality, limited interpretability of AI predictions, and integration of heterogeneous datasets.
To address these limitations, the authors emphasize the importance of developing AI systems capable of autonomously understanding physical principles and ensuring transparent, verifiable decision-making processes for researchers.
The review also explores the concept of the Self-Driving Lab, where AI autonomously designs experimental plans, analyzes results, and determines the next experimental steps—without manual operation by researchers. The AI-Based Catalyst Search Platform exemplifies this concept, enabling robots to automatically design, execute, and optimize catalyst synthesis experiments.
In particular, the study presents cases in which AI-driven experimentation has dramatically accelerated catalyst development, suggesting that similar approaches could revolutionize research in battery and energy materials.
<AI Driving Innovation Across the Entire Cycle of New Material Discovery, Development, and Optimization>
“This review demonstrates that artificial intelligence is emerging as the new language of materials science and engineering, transcending its role as a mere tool,” said Professor Seungbum Hong. “The roadmap presented by the KAIST team will serve as a valuable guide for researchers in Korea’s national core industries including batteries, semiconductors, and energy materials.”
Benediktus Madika (Ph.D. candidate), Aditi Saha (Ph.D. candidate), Chaeyul Kang (M.S. candidate), and Batzorig Buyantogtokh (Ph.D. candidate) from KAIST’s Department of Materials Science and Engineering contributed as co-first authors.
Collaborating authors include Professor Joshua Agar (Drexel University), Professors Chris Wolverton and Peter Voorhees (Northwestern University), Professor Peter Littlewood (University of St Andrews), and Professor Sergei Kalinin (University of Tennessee).
Paper Title: Artificial Intelligence for Materials Discovery, Development, and Optimization
DOI: 10.1021/acsnano.5c04200
This work was supported by the National Research Foundation of Korea (NRF) with funding from the Ministry of Science and ICT (RS-2023-00247245).
2025.10.27 View 599 -
Robot-Operated Space Station Construction Goal... 'In-space Servicing and Manufacturing Research Center' Launched
<Plaque Handover Ceremony. (From left) Jae-Hung Han, Director of the Space Research Institute, Ju-won Kang, Head of Engineering Group at the National Research Foundation of Korea Basic Research Headquarters>
KAIST's Space Research Institute announced on the 24th of October that it officially launched the 'Innovative Research Center for the Development of Core Technologies in In-space Servicing and Manufacturing (ISMRC)' at the KAIST Academic Cultural Center on Friday, October 24. About 150 officials from major organizations, including the Korea Aerospace Administration, the National Research Foundation of Korea, and Daejeon Metropolitan City, as well as domestic and foreign space experts, attended the opening ceremony to discuss future cooperation measures. The 'KAIST In-space Servicing and Manufacturing Research Center (ISMRC)' is a large-scale research hub selected for the Ministry of Science and ICT's 2025 Basic Research Project, with a total of 71.2 billion KRW long-term project planned over the next 10 years, including 50 billion KRW in national funding. Daejeon City will also provide a total of 3.6 billion KRW, with 400 million KRW annually starting from 2026. The research goals are to secure core technologies for next-generation space exploration, including: ▲ Construction of Unmanned Space Stations, ▲ Robotics-based In-space Manufacturing, and ▲ Resource Recovery Technology. A team of 14 KAIST professors, led by Director Jae-Hung Han, will spearhead the research, with major domestic and foreign space companies and research institutions participating in joint research. As the 'New Space' era fully commences globally, the In-space Servicing and Manufacturing industry is projected to grow to tens of trillions of Korean won by 2030, driven by the reduction of launch costs and the expansion of private sector participation. This field is evaluated as a core area that will fundamentally change the way humanity engages in space activities, including extending satellite lifespan, on-orbit maintenance and operation, and securing and manufacturing resources in space. Meanwhile, an international symposium was held for two days on October 23-24 at the KAIST Academic Cultural Center and KI Building, coinciding with the opening ceremony.
<Director Jae-Hung Han of the Space Research Institute presenting>
The symposium was composed of a total of six sessions, including: ▲ Exchange Meeting on Additive Manufacturing Tecnology for Aerospace, ▲ International Workshop on Aerospace Composites, ▲ Workshop on Swarm Satellite Development, and ▲ Workshop on In-space Servicing and Manufacturing Robotics. Major domestic and foreign institutions and experts, including the Korea Aerospace Research Institute, Japan Advanced Institute of Science and Technology, and California Institute of Technology (Caltech), attended to discuss the future direction of next-generation space technology development and international cooperation measures. Cheol-woong Son, Director-General of Future Strategy Industry Office at Daejeon City, said, "We will develop the Innovative Research Center into a Daejeon-type space industry innovation platform with KAIST," and "Daejeon City will concentrate its capabilities to help local businesses grow and establish Daejeon as the central city for the Republic of Korea's space industry." Jae-Hung Han, Director of the KAIST Space Research Institute, said, "We will lead the core technologies for in-space servicing and manufacturing through cooperation between industry, academia, research institutes, and government, and contribute to the establishment of a private sector-focused industrial ecosystem," adding, "KAIST will grow into a comprehensive research hub that encompasses R&D, talent nurturing, and technology commercialization."
<Group Photo of Participants at the Opening Ceremony of the In-space Servicing and Manufacturing Research Center>
Kwang Hyung Lee, President of KAIST, said, "The field of in-space servicing and manufacturing is a core area that will change the paradigm of the future space industry," and "KAIST will lead the Republic of Korea to become the center for opening a new era of the space industry through innovative technology development and global cooperation." KAIST plans to perform the role of breaking down the boundaries between academia and industry, focusing on these technologies, and laying the foundation for next-generation space activities.
2025.10.24 View 784 -
"KAIST Opens Up! Cutting-Edge Research Sites Revealed... 'OPEN KAIST 2025' to be Held
< 2025 OPEN KAIST Poster >
KAIST announced on the 23rd of October that it will hold the 'OPEN KAIST 2025' event, which publicly opens research labs, experiment rooms, and research centers on campus, for two days starting from October 30th at the main campus in Daejeon.
OPEN KAIST, which began in 2001 and marks its 13th event this year, is a representative research exhibition event operated biennially by the KAIST College of Engineering (Dean Jae Woo Lee), aiming for programs where citizens can directly experience the research environment and encounter science more closely.
This year, 16 departments and the KAIST Satellite Technology Research Center are participating, operating a total of 39 programs across five areas: △Experience/Demonstration △Lab Tour △Lecture △Department Introduction △Achievement Exhibition. In particular, the opportunities to directly observe and learn about core future fields such as AI, drones, brain science, nuclear energy, and semiconductors have been greatly enhanced.
Professor Jun Han's lab in the School of Computing will introduce technology where AI understands 3D space and constructs virtual environments. Participants will confirm the process of objects in a video being rearranged through a demonstration and learn about the role of AI in future society and the direction of development for spatial perception technology.
Professor Hyochoong Bang's lab in the Department of Aerospace Engineering will unveil next-generation drone technologies, including multicopters, unmanned helicopters, and Vertical Take-Off and Landing (VTOL) aircraft. Participants will understand their characteristics and usage environments, observe the already flight-tested technologies up close, and get a panoramic view of the changes the drone industry will bring.
Professor Minee Choi's lab in the Department of Brain and Cognitive Sciences offers an opportunity to experience the relationship between the brain and behavior. Participants will use an online application to create their own mini-brain, virtually examine the effects of exercise or vitamin intake on the brain, and directly experience research equipment and the experimental environment.
The Department of Mathematical Sciences has prepared two special lectures for youth. The lecture ‘Secrets Hidden in the Growth Data Patterns of Mammals’ will explore universal mathematical rules within the growth data of various mammals, from the American shrew mole weighing barely 10g to the blue whale exceeding 200 tons. The subsequent lecture, ‘Can This Knot Really Be Undone? — A Mathematical Way to Understand Space’, will explain the mathematical thought process for understanding space, using everyday knots like shoelaces as examples, tailored to the youth's level.
The Department of Nuclear and Quantum Engineering program includes radiation detection practice and a look at the potential utilization of next-generation nuclear technologies such as SMRs and microreactors. The Department of Industrial Design will introduce how design research connects to solving real-life problems through lab tours and exhibitions.
The Semiconductor Research Facility Tour allows participants to directly enter a cleanroom to observe the process equipment and manufacturing stages, experiencing the completion process of ultrafine semiconductors.
In addition, a variety of other programs are prepared, including a lecture by Professor Hyungjun Kim of the Moon Soul Graduate School of Future Strategy titled ‘Meta-Earth: Climate Crisis and Earth's Changes through Data’, the Department of Civil and Environmental Engineering’s ‘Centrifuge Modeling Test: Earthquake Research using Centrifugal Force’, and a game development special lecture and exhibition by the School of Computing's game production club 'Haze'.
< OPEN KAIST Event Scene >
Jae Woo Lee, Dean of the College of Engineering, stated, "We prepared this event to open up KAIST's education and research sites and provide visitors with an opportunity to directly experience and communicate about challenging and creative science and technology innovation."
KAIST President Kwang Hyung Lee said, "OPEN KAIST is a meaningful occasion to share the research environment with the public," and "I hope this event serves as an opportunity for youth and citizens to feel the value of science and foster dreams of future challenges."
For individual visitors, 'OPEN KAIST 2025' can be freely viewed according to the on-site situation by referring to the booklet distributed at the information desk on the day of the event, without prior application. Detailed schedules and programs can be checked on the website (https://openkaist.ac.kr).**
2025.10.23 View 774 -
KAIST, Dancing Like 'Navillera'... AI Understands and Renders Garment Motions of Avatars
<(From Left)Ph.D candidate Jihyun Lee, Professor Tae-Kyun Kim, M.S candidate Changmin Lee>
The era has begun where AI moves beyond merely 'plausibly drawing' to understanding even why clothes flutter and wrinkles form. A KAIST research team has developed a new generative AI that learns movement and interaction in 3D space following physical laws. This technology, which overcomes the limitations of existing 2D-based video AI, is expected to enhance the realism of avatars in films, the metaverse, and games, and significantly reduce the need for motion capture or manual 3D graphics work.
KAIST (President Kwang Hyung Lee) announced on the 22nd that the research team of Professor Tae-Kyun (T-K) Kim from the School of Computing has developed 'MPMAvatar,' a spatial and physics-based generative AI model that overcomes the limitations of existing 2D pixel-based video generation technology.
To solve the problems of conventional 2D technology, the research team proposed a new method that reconstructs multi-view images into 3D space using Gaussian Splatting and combines it with the Material Point Method (MPM), a physics simulation technique.
In other words, the AI was trained to learn physical laws on its own by stereoscopically reconstructing videos taken from multiple viewpoints and allowing objects within that space to move and interact as if they were in real physical world.
This enables the AI to compute the movement based on objects' material, shape, and external forces, and then learn the physical laws by comparing the results with actual videos.
The research team represented the 3D space using point-units, and by applying both Gaussian and MPM to each point, they simultaneously achieved physically natural movement and realistic video rendering.
That is, they divided the 3D space into numerous small points, making each point move and deform like a real object, thereby realizing natural video that is nearly indistinguishable from reality.
In particular, to precisely express the interaction of thin and complex objects like clothing, they calculated both the object's surface (mesh) and its particle-unit structure (point), and utilized the Material Point Method (MPM), which calculates the object's movement and deformation in 3D space according to physical laws.
Furthermore, they developed a new collision handling technology to realistically reproduce scenes where clothes or objects move and collide with each other in multiple spots and complex manner.
The generative AI model MPMAvatar, to which this technology is applied, successfully reproduced the realistic movement and interaction of a person wearing loose clothing, and also succeeded in 'Zero-shot' generation, where the AI processes data it has never seen during the learning process by inferring on its own.
<Figure 1. Modeling new human poses and clothing dynamics from multi-view video input, and zero-shot generation of novel physical interactions.>
The proposed method is applicable to various physical properties, such as rigid bodies, deformable objects, and fluids, allowing it to be used not only for avatars but also for the generation of general complex scenes.
<“Figure 2. Depiction of graceful dance movements and soft clothing folds, like Navillera.>
Professor Tae-Kyun (T-K) Kim explained, "This technology goes beyond AI simply drawing a picture; it makes the AI understand 'why' the world in front of it looks the way it does. This research demonstrates the potential of 'Physical AI' that understands and predicts physical laws, marking an important turning point toward AGI (Artificial General Intelligence)." He added, "It is expected to be practically applied across the broaden immersive content industry, including virtual production, films, short-form contents, and adverts, creating significant change."
The research team is currently expanding this technology to develop a model that can generate physically consistent 3D videos simply from a user's text input.
This research involved Changmin Lee, a Master's student at the KAIST Graduate School of AI, as the first author, and Jihyun Lee, a Ph.D. student at the KAIST School of Computing, as a co-author. The research results will be presented at NeurIPS, the most prestigious international academic conference in the field of AI, on December 2nd, and the program code is to be fully released.
· Paper: C. Lee, J. Lee, T-K. Kim, MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based Dynamics, Proc. of Thirty-Ninth Annual Conf. on Neural Information Processing Systems (NeurIPS), San Diego, US, 2025
· arXiv version: https://arxiv.org/abs/2510.01619
· Related Project Site: https://kaistchangmin.github.io/MPMAvatar/
· Related video links showing the 'Navillera'-like dancing drawn by AI:
o https://www.youtube.com/shorts/ZE2KoRvUF5c
o https://youtu.be/ytrKDNqACqM
This work was supported by the Institute of Information & Communications Technology Planning & Evaluation(IITP) grant funded by the Korea government(MSIT) through the Human-Oriented Next-Generation Challenging AGI Technology Project (RS-2025-25443318) and the Professional AI Talent Development Program for Multimodal AI Agents (RS-2025-25441313).
2025.10.22 View 755 -
KAIST Develops Ultrafast Photothermal Process Achieving 3,000 °C in 0.02 Seconds, Boosting Hydrogen Production Efficiency Sixfold
< (from left) Ph.D. candidate Seohak Park, Dr. Jaewan Ahn, Ph.D. candidate Dogyeong Jeon, Prof. Sung-Yool Choi, Prof. Il-Doo Kim, Dr. Chungseong Park, Ph.D. candidate Euichul Shin (top left) Dr. Hamin Shin, Dr. Jun-Hwe Cha i>
The rapid and energy-efficient synthesis of high-performance catalysts is a critical hurdle in advancing clean energy technologies like hydrogen production. Addressing this challenge, a research team at KAIST has now developed a novel platform technology that utilizes a 0.02-second flash of light to generate an ultrahigh temperature of 3,000 °C, enabling the highly efficient synthesis of catalysts. This breakthrough process reduces energy consumption by more than a thousandfold compared to conventional methods while increasing hydrogen production efficiency by up to six times, marking a significant step toward the commercialization of clean energy.
KAIST (President Kwang Hyung Lee) announced on October 20 that a joint research team, co-led by Professor Il-Doo Kim from the Department of Materials Science and Engineering and Professor Sung-Yool Choi from the School of Electrical Engineering, has developed a “direct-contact photothermal annealing” platform. This technique synthesizes high-performance nanomaterials through brief exposure to intense light, generating a transient temperature of 3,000 °C in just 0.02 seconds.
Using this intense photothermal energy, the researchers successfully converted chemically inert nanodiamond (ND) precursors into highly conductive and catalytically active carbon nanoonions (CNOs).
More impressively, the method simultaneously functionalizes the surface of the newly formed CNOs with single atoms. This integrated, one-step process restructures the support material and embeds catalytic functionality in a single light pulse, representing a significant innovation in catalyst synthesis.
CNOs, composed of concentric graphitic shells, are ideal catalyst supports due to their high conductivity, large specific surface area, and chemical stability. However, traditional CNO synthesis has been hindered by complex, multi-step post-processing required to load metal catalysts and by reliance on energy-intensive, time-consuming thermal treatments that limit scalability.
< Schematic Illustration of the Limitations of Conventional Thermal-Radiation Synthesis and the Carbon Nano-Onion Conversion via Direct-Contact Photothermal Treatment >
To overcome these limitations, the KAIST team leveraged the photothermal effect. They devised a method of mixing ND precursors with light-absorbing carbon black (CB) and applying an intense pulse from a xenon lamp. This approach triggers the transformation of NDs into CNOs in just 0.02 seconds, a phenomenon validated by molecular dynamics simulations.
A key innovation of this platform is the simultaneous synthesis of CNOs and functionalization of single-atom catalysts (SACs). When metal precursors, such as platinum (Pt), are included in the mixture, they decompose and anchor onto the surface of the nascent CNOs as individual atoms. The subsequent rapid cooling prevents atomic aggregation, resulting in a perfectly integrated one-step process for both synthesis and functionalization. The team has successfully synthesized eight different high-density SACs, including platinum (Pt), cobalt (Co), and nickel (Ni). The resulting Pt-CNO demonstrated a sixfold enhancement in hydrogen evolution efficiency compared to conventional catalysts, achieving high performance with significantly smaller quantities of precious metals. This highlights the technology's potential for scalable and sustainable hydrogen production.
“We have developed, for the first time, a direct-contact photothermal annealing process that reaches 3,000°C in under 0.02 seconds,” said Professor Il-Doo Kim. “This ultrafast synthesis and single-atom functionalization platform reduces energy consumption by more than a thousandfold compared to traditional methods. We expect it to accelerate the commercialization of technologies in hydrogen energy, gas sensing, and environmental catalysis.”
The study’s first authors are Dogyeong Jeon (Ph.D. candidate, Department of Materials Science and Engineering, KAIST), Dr. Hamin Shin (an alumnus of the Department of Materials Science and Engineering and a current postdoctoral researcher at ETH Zurich), and Dr. Jun-Hwe Cha (an alumnus of the School of Electrical Engineering, now at SK hynix). Professors Sung-Yool Choi and Il-Doo Kim are the corresponding authors.\
< Inside Cover Image of the September Issue of ACS >
The research was published as a Supplementary Cover Article in the September issue of ACS Nano, a leading international journal of the American Chemical Society (ACS).
※ Paper title: “Photothermal Annealing-Enabled Millisecond Synthesis of Carbon Nanoonions and Simultaneous Single-Atom Functionalization,” DOI: 10.1021/acsnano.5c11229
This research was supported by the Global R&D Infrastructure Program and the Leading Research Center Program of the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT, and the Nano Convergence Technology Center’s Semiconductor–Battery Interfacing Platform Development Project.
2025.10.21 View 886 -
KAIST Launches Student Led ESG Research Platform with Brand Revenue
KAIST (President Kwang Hyung Lee) announced on the 19th of October that it is launching a new action-oriented ESG program, 'PDSP (Problem Definition to Solution Program),' which returns brand revenue to students to support research aimed at solving social problems. Brand revenue refers to profits from the sale of branded products, such as 'Nubjuk-i,' and the brand shop that KAIST operates near the campus's duck pond.
This initiative is the first model to concretize KAIST's brand value and social responsibility through a student-centric approach, serving as an innovative starting point that connects 'research–startup–social contribution.'
The project is funded by dividends from Brand KAIST, a subsidiary of KAIST Holdings (CEO Hyunmin Bae), led by co-CEOs Hyun Jung Suk and Byeongjun Bok (CEO of KAI Patent Law Firm, and KAIST Industrial Design alumni).
By reinvesting brand revenue into student research activities, KAIST aims to implement a KAIST-style virtuous cycle ESG structure: 'Brand->Revenue->Student->Social Contribution.'
PDSP is a research program where KAIST undergraduate students voluntarily form teams to explore social and technological problems and propose solutions. The program name, 'Problem Definition to Solution Program,' signifies that students directly define the problem and design the solution, aiming to become a practical research platform that connects learned knowledge to solving social issues.
Through the PDSP, KAIST is expanding the concept of ESG beyond Environment, Society, and Governance to 'Practicing Social Responsibility through Education and Science.'
The process of students proactively defining social problems and proposing solutions is itself a form of ESG value realization, and KAIST seeks to build a science and technology-based, action-oriented ESG model through this.
The PDSP operates with two research tracks: Deep Tech and ESG. The 'Deep Tech Track' supports fundamental technology research that will lead future industries, leveraging KAIST's advanced science and technology capabilities in areas such as Artificial Intelligence (AI), semiconductors, robotics, biotechnology, new materials, and energy. The 'ESG Track' focuses on research on social issues such as climate change, carbon neutrality, and aging, concentrating on realizing a sustainable society through science and technology.
<KAIST PDSP (Problem Definition to Solution Program) Poster>
This program is regarded not merely as an idea contest but as a 'student-led Deep Tech incubation program' that promotes substantial technological innovation originating from research labs.
Participation is open to approximately 20 teams, each composed of three to five undergraduate students. Each team can choose to apply for either the Deep Tech Track or the ESG Track. A maximum of 1.5 million KRW in research activity expenses will be provided per team for three months, with the funding executed according to KAIST's internal research project standards. Applications are accepted through the KAIST portal site from September 29 until midnight on November 5. Selected teams, after being reviewed by an evaluation committee, will go through stages including orientation, interim check, and performance presentation.
Hyeonmin Bae, CEO of KAIST Holdings (Professor of Electrical Engineering), stated, "The PDSP will be the starting point for KAIST-style autonomous research culture where students define problems and design solutions themselves," adding, "We plan to actively consider providing initial investments and commercialization support for outstanding research teams to develop their ideas into startups."
Hyeong-Jeong Suk, CEO of Brand KAIST (Professor of Industrial Design), said, "This program, where Brand KAIST's revenue is reinvested into student research, shows that the KAIST brand is evolving beyond a mere symbol to a platform for creating social value. I believe the true power of the KAIST brand lies in students creating new change that bridges technology and society through creative research."
A student who submitted an application for the program commented, "I wanted to explore social topics like environmental issues or technological inequality through research, and I am excited that this program offers such an opportunity," adding, "I feel a sense of pride as a KAIST student to be able to give back the knowledge I've gained to society."
KAIST President Kwang Hyung Lee emphasized, "Creating a co-prosperity innovation model that returns the value generated by the KAIST brand to our students is also KAIST's strength," and "I hope that the problems defined by the students themselves will contribute to the progress of humanity, and that creative research will become the driving force for social change."
Since its establishment in 1971, leading South Korea's scientific and technological development and industrial innovation, KAIST is realizing the 'virtuous cycle of brand value' through its PDSP, presenting a new ESG paradigm that combines student-led social contribution and technological innovation.
2025.10.20 View 455