UOS News
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- Research team led by Professor Hongje Seong of the School of Electrical and Computer Engineering develops AI technologies for 3D spatial understanding and scene change analysis. - Undergraduate seniors Moonyeon Jeong and Seunggi Min lead research on view-adaptive 3D Gaussian splatting technology for 3D spatial understanding. The University of Seoul announced that two papers from the Computer Vision Laboratory, led by Professor Hongje Seong of the School of Electrical and Computer Engineering, have been accepted to ECCV 2026, one of the world’s most prestigious international conferences in artificial intelligence (AI) and computer vision. The European Conference on Computer Vision (ECCV) is regarded as one of the world’s top three international computer vision conferences alongside CVPR and ICCV. The upcoming ECCV 2026 is scheduled to take place in Malmö, Sweden, from September 8 to 12. One of the accepted research papers, titled “ViewSplat: View-Adaptive Splatting for Feed-Forward Synthesis,” proposes an AI technology that understands 3D space from multiple images without camera position information and synthesizes high-quality images from new viewpoints. The research team demonstrated that by dynamically adjusting the 3D representation according to the target viewpoint, they can achieve more precise
대외협력과 53 2026-07-07
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- Precise analysis of sleep, stress, and clinical status using a single device - Published in the internationally renowned journal *Science Advances*... Implementation of a wireless system capable of real-time monitoring in everyday life A joint research team led by Professor Sun Hong Kim of the Department of Chemical Engineering at the University of Seoul and Professor Jae-Young Yoo of the Department of Semiconductor Convergence Engineering at Sungkyunkwan University has developed a “wireless skin-interfaced wearable sensing system” capable of simultaneously measuring and analyzing complex physiological signals from the human body, including heart rate, respiration, skin response, and body temperature. The findings of this study have been published in the prestigious international journal, *Science Advances* (IF 12.5, top 8% in JCR). The proposed platform, which enables the integrated analysis of various biosignals using a single device, is gaining attention owing to its potential application in a wide range of fields, including stress analysis, sleep monitoring, and medical education. (Paper title: Wireless, skin-interfaced multimodal sensing system for continuous psychophysiological monitoring—a wearable polygraph device) Paper link:https://www.science.org/doi/10.1126/sciadv.aed3162 ▶ Device design
대외협력과 129 2026-07-02
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- Proposal for an AI-based synthesis framework to address the challenge of automatically generating complex regular expressions The paper titled “RESYN: A generalized recursive regular expression synthesis framework," by Professor Sang-Ki Ko's research team in the Department of Artificial Intelligence at the University of Seoul, has been accepted for presentation at IJCAI 2026 (International Joint Conferences on Artificial Intelligence), one of the most prestigious international conferences in the field of artificial intelligence. This study addresses the programming by example (PBE) problem of automatically generating regular expressions based solely on examples and proposes RESYN, a new recursive AI framework that can effectively synthesize complex regular expressions used in real-world environments. Previous studies rely on benchmarks with simple structures, which fail to adequately reflect the complex patterns of real-world environments. However, the research team quantified the structural complexity of real-world regular expression data and proposed a novel approach to address this issue. △ set2regexv3 In particular, the research team developed a lightweight neural network model called SET2REGEX, which incorporates a divide-and-conquer-based composite structure that recursively decomposes the probl
대외협력과 160 2026-06-11
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- Final selection under the theme “Quantum Algorithms for Cardiovascular CT-FFR Simulation and Tumor Microcirculation Modeling” - Application of quantum algorithms to the Navier–Stokes fluid dynamics equations for cardiovascular blood flow analysis and tumor microcirculation analysis The University of Seoul announced that the research team led by Distinguished Emeritus Professor Doyeol AHN of the School of Electrical and Computer Engineering has been selected for the “Quantum Innovation Catalyzer Program,” jointly organized by Cleveland Clinic in the United States and K5 Global. This research was conducted in collaboration with Professor Jung Im Jung and Professor Su Yon Chang of the Department of Radiology; Professors Jong-Chan Youn, Choi Young, and Jaeho Seung of the Department of Cardiology at The Catholic University of Korea, Seoul St. Mary’s Hospital; Dr. Kyungreem Han of the Brain Science Institute at the Korea Institute of Science and Technology (KIST); and Singularity Quantum (CEO: Doyeol AHN), a U.S.-based quantum technology company. The study also received technical support from the National Quantum Laboratory (QLab) at the University of Maryland (College Park), Amazon Web Services (AWS), and IQM, a Finnish quantum computing company. The selected project is entitled “Quantum Algorithms fo
대외협력과 200 2026-05-21
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- Research team led by Professor Daeho Um of the School of Electrical and Computer Engineering develops a multimodal AI technique robust against image manipulation attacks, following another major achievement at CVPR 2026 - Enhances the reliability of large vision-language models through stability and suitability metrics The University of Seoul announced that a paper by the research team led by Professor Daeho Um of the School of Electrical and Computer Engineering has been accepted to the International Conference on Machine Learning (ICML 2026), one of the world’s most prestigious international conferences in the field of artificial intelligence (AI). ICML, together with Neural Information Processing Systems (NeurIPS) and International Conference on Learning Representations (ICLR), is regarded as one of the world’s top three machine learning conferences and a leading venue driving advances in artificial intelligence (AI). Marking its 43rd edition, ICML 2026 is scheduled to take place from July 6 to July 11 at the COEX Convention & Exhibition Center in Seoul. This will be the first time ICML has been held in person in Korea. ▶ Proposed Method: SS-TPT The accepted paper, titled “SS-TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language Models,” pro
대외협력과 495 2026-05-13
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- Research findings published in the globally renowned journal Cancer Communications (Impact Factor: 24.9) - Reveals the molecular mechanism underlying DKK1-mediated liver cancer proliferation and metastasis - Proposes a novel anticancer strategy utilizing the “PPO domain” to minimize side effects on normal cells The research team led by Professor Eek-hoon Jho of the Department of Life Science, College of Natural Sciences at the University of Seoul, in collaboration with the research team led by Professor Cheong Jaeyoun of Ajou University, announced that they have identified a novel cancer-specific therapeutic strategy capable of suppressing the proliferation and metastasis of liver cancer. The findings were published in Cancer Communications (Impact Factor: 24.9; top 3.5% in Journal Citation Reports [JCR]), a globally renowned journal in cancer research, under the title “DKK1 Suppresses Hippo Signaling via PIP3–OGT–LRP6 O-GlcNAcylation in Hepatocellular Carcinoma.” The research team identified the detailed molecular mechanism through which “DKK1,” a secreted protein overexpressed in liver cancer, promotes abnormal proliferation and metastasis of cancer cells. While previous studies focused primarily on PIP3 formation induced by DKK1, this study is the first to demonstrate that “O-GlcNAcylation
대외협력과 154 2026-05-13
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- Demonstrates 1,000 hours of stability under extreme conditions of 85°c and 85% humidity The research team led by Professor Min Kim of the Department of Chemical Engineering at the University of Seoul conducted a joint study with the teams of Professor Jaewon Lee of Chungnam National University and Professor JungYup Yang of Kunsan National University. The team announced that the resulting paper was published in Advanced Functional Materials (IF 18.5, top 4.8% in JCR), a globally renowned journal in materials science, and was selected as the Inside Back Cover article for the issue. The paper is titled “Cyclic Structured Ionic Molecules Formulating Multi-Dimensional Perovskite Structures of Highly Stable and Efficient Perovskite Solar Cells.” In this study, researchers Jeongbeom Cha of the Department of Intelligent Semiconductor Engineering at the University of Seoul, Dohun Baek of the Department of Chemical Engineering at the University of Seoul, and Jaegwan Shin of Kunsan National University participated as co-first authors and played key roles. Perovskite solar cells (PSCs) have emerged as a promising candidate for next-generation solar cells, achieving power conversion efficiencies exceeding 26%. However, most existing studies rely on strictly controlled inert atmospheres with humidity below 30% an
대외협력과 152 2026-05-12
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- Published as a Supplementary Cover article in ACS Nano: Securing a key technology for next-generation AI, aerospace, and ultra-low-power semiconductors - Achieves ultra-low resistance approaching the quantum contact limit through precise plasma control The research team led by Professor Taewan Kim of the Intelligent Semiconductor Major, School of Advanced Fusion Studies at the University of Seoul, in collaboration with the team of Professor Hyo-Chang Lee of Korea Aerospace University, announced that their research paper, “Plasma Knowledge-Based Polymorphic Engineering for Two-Dimensional Semiconductor Contacts,” has been published as a Supplementary Cover article in ACS Nano (IF: 16.1, top 6% in JCR), a globally renowned journal in nanoscience. The research team systematized, for the first time in the world, a “plasma knowledge-based polymorphic process” technology capable of fundamentally resolving the high contact resistance issue that has hindered the commercialization of two-dimensional transition metal dichalcogenide (2D TMD) semiconductors. While conventional plasma processes have relied on empirical parameter tuning, the team quantitatively measured internal physical parameters such as plasma ion density and self-bias voltage and, based on these measurements, proposed a new process framework that
대외협력과 240 2026-04-14
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- Realization of phase transitions through modulation of electron–electron interactions in oxide heterostructures: Outcome of an international collaborative study - Gaining attention as a core operating principle for next-generation AI semiconductor devices The research team led by Professor Young Jun CHANG of the Department of Physics at the University of Seoul, in collaboration with Dr. Eli Rotenberg of Lawrence Berkeley National Laboratory in the United States, successfully realized a Mott metal–insulator transition solely through the modulation of electron–electron interactions in lanthanum titanium oxide (LaTiO₃) heterostructure thin films. The research findings were published in the January 2026 issue of Communications Materials, a sister journal of Nature (Impact Factor: 9.6). This study is considered the first demonstration of a Mott transition induced solely by the precise control of on-site Coulomb interactions, achieved through the modulation of thin-film thickness and associated changes in charge transfer and lattice structure, rather than by external stimuli such as doping, temperature, or pressure. Using experimental techniques including angle-resolved photoemission spectroscopy and electron diffraction, together with first-principles calculations, the research team systematically analyze
대외협력과 227 2026-04-08
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- The research team led by Professor Young Jun CHANG of the Department of Physics at the University of Seoul maximizes catalytic activity through electrochemical surface modulation - Oxygen evolution reaction performance significantly enhanced using iridium chalcogenide thin films The University of Seoul announced in January 2026 that the research team led by Professor Young Jun CHANG of the Department of Physics successfully maximized the catalytic activity of the oxygen evolution reaction (OER) by precisely controlling the surface oxidation state of thin films of iridium telluride (IrTe2₂), a two-dimensional transition-metal chalcogenide. This research was conducted as a collaborative study with Pohang Accelerator Laboratory, Chung-Ang University, the National NanoFab Center, and Sweden’s MAX IV synchrotron light source facility. The results were published in the January 2026 issue of ACS Catalysis (Impact Factor: 13.1), a world-renowned academic journal in the field of catalysis. In this study, a method was proposed to control the formation of active intermediates (Ir–OH, Ir–OO, Te–OH) and reaction pathways through electrochemical oxidation modulation of high-quality two-dimensional iridium telluride thin films synthesized using a vacuum thin-film deposition system. In particular, the study id
대외협력과 226 2026-04-01
