ソウル大学、KAIST、延世大学など韓国QSトップ10大学の研究室情報です。
Professor Jooyoung Kim's research lab specializes in computer architecture and hardware acceleration for emerging workloads, with a strong focus on optimizing datacenter-scale systems for AI and machine learning workloads. The lab develops custom, reconfigurable hardware fabrics using FPGAs to accelerate critical services such as web search ranking and natural language processing. Key research directions include memory-centric computing, low-power real-time perception systems, and domain-specific accelerators for vision and NLP workloads. The lab also explores innovative circuit-level designs, such as bitwise logic and energy-efficient comparators, to enhance performance and area efficiency in hardware accelerators.
Professor Min Sup Hur's research lab specializes in laser-plasma interactions, focusing on advanced mechanisms for electromagnetic wave generation, laser pulse compression, and electron acceleration in plasmas. The lab explores novel kinetic and nonlinear phenomena such as Raman backscattering, plasma dipole oscillations, and terahertz wave emission using tailored laser pulses and plasma structures. Key research directions include laser-driven particle acceleration, coherent radiation sources in underdense and magnetized plasmas, and innovative plasma-based optical components for ultrashort pulse compression. The lab combines theoretical modeling with high-fidelity particle-in-cell simulations to uncover and optimize new physical regimes for next-generation compact radiation sources and particle accelerators.
Professor Young-in Lee's research lab focuses on the molecular mechanisms underlying skin aging, fibrotic disorders such as keloids, and metabolic influences on chronic diseases. The lab investigates cellular senescence, inflammaging, and the role of extracellular matrix remodeling in skin homeostasis and pathology. Key research directions include the development of topical bioactive compounds—such as hydrolyzed collagen tripeptides and adipose-derived stem cell-conditioned media—for anti-aging and regenerative dermatology, as well as exploring the interplay between metabolic syndrome, non-alcoholic fatty liver disease, and colorectal neoplasms. The lab integrates clinical studies with molecular and preclinical models to translate findings into novel therapeutic strategies for skin and systemic age-related diseases.
Professor Jae Won Beom's research lab focuses on musculoskeletal and neurological rehabilitation, with a strong emphasis on the pathophysiology of osteoarthritis, spinal disorders, and post-stroke recovery. The lab investigates cellular and molecular mechanisms underlying joint degeneration—particularly mitochondrial dynamics and oxidative stress in osteoarthritis—while also developing innovative neuromuscular stimulation and robotic-assisted therapies for functional restoration. Key research directions include the role of mitophagy and NADPH oxidase in cartilage degradation, trunk muscle strength in low back pain, and advanced rehabilitation technologies such as mirror therapy robots and electrical stimulation for dysphagia and motor recovery.
Professor Jeong Jin Min's research lab specializes in clinical and translational research focused on critical care medicine, perioperative medicine, and cardiovascular disease. The lab investigates infection control in healthcare settings—particularly during outbreaks such as MERS—while also exploring the impact of blood product storage age on surgical outcomes. A significant portion of the lab’s work examines the role of pharmacological agents like statins in mitigating diabetic cardiomyopathy, especially under varying glycemic control conditions. The lab employs both preclinical models and clinical studies to evaluate diagnostic tools and therapeutic interventions in anesthesia and intensive care.
Professor Chang Han Lee's research lab specializes in the rational design of therapeutic proteins and RNA-based therapeutics, with a focus on enhancing pharmacokinetics, improving target specificity, and minimizing off-target effects. The lab develops engineered antibody Fc variants with optimized pH-dependent binding to the neonatal Fc receptor (FcRn) for prolonged half-life, explores synthetic kringle domains as targeted protein therapeutics for cancer, and pioneers novel siRNA structures (asiRNA) to overcome limitations of conventional RNAi. The lab also investigates chaperone-substrate interactions and immune responses to SARS-CoV-2, integrating structural biology, synthetic biology, and translational immunology.
Professor Young Soo Joo's research lab specializes in nephrology and preventive medicine, focusing on early prediction and risk stratification of chronic kidney disease (CKD) using innovative biomarkers and advanced analytics. The lab investigates dynamic physiological changes—such as blood pressure trajectories and retinal imaging patterns—combined with novel urinary biomarkers like chloride to predict CKD progression. Their work integrates deep learning, longitudinal cohort studies, and clinical validation to improve early detection and intervention strategies in populations with preserved kidney function. The lab also explores neuromuscular mechanisms related to postural stability, reflecting a broader interest in systemic health markers.
Professor Sae-ahm Shin's research lab specializes in molecular diagnostics and precision medicine, focusing on the development and validation of advanced molecular testing methods for infectious diseases and cancer. The lab investigates the role of the gut microbiome in pediatric obesity and explores the application of next-generation sequencing and cell-free DNA analysis in oncology, particularly for EGFR and BRCA1/2 mutation detection. A key emphasis is placed on standardizing pre-analytical and bioinformatic procedures to enhance the reliability and clinical utility of molecular diagnostics.
Professor Jae-Hyung Jeong's research lab focuses on advancing bioenergy crop improvement through molecular breeding and genome editing technologies. The lab specializes in enhancing lignocellulosic biomass quality in high-yielding crops like sugarcane and barley by targeting key genes in the lignin biosynthesis pathway, particularly caffeic acid O-methyltransferase (COMT). Using techniques such as RNAi and CRISPR/Cas9, the lab achieves reduced lignin content and improved saccharification efficiency, thereby increasing biofuel yield from both first- and second-generation bioethanol processes. The research emphasizes sustainable biofuel production by optimizing carbon partitioning and overcoming the recalcitrance of plant cell walls.
Professor Kwan-Jung Lee's research lab specializes in advanced aerospace and mechanical systems, focusing on computational fluid dynamics, reduced-order modeling, and uncertainty quantification in unmanned aerial vehicles and electric vertical takeoff and landing (eVTOL) aircraft. The lab develops physics-informed, data-driven methodologies—particularly autoencoder-based models with interpretable latent variables—for efficient and accurate simulation of complex aerodynamic and propulsion systems. Key research directions include inverse design, battery sizing for eVTOLs, and environmental flow phenomena such as snow accumulation on high-speed trains.
Professor Dooil Kim's research lab specializes in bioengineering and biomedical applications, focusing on recombinant protein expression for medical adhesives, particularly mussel adhesive proteins. The lab also develops AI-driven computer vision systems for real-time safety monitoring in construction, emphasizing lightweight, edge-deployable models for personal protective equipment detection. Additionally, the lab explores classical Chinese philosophy, especially Confucian ethics, with a focus on moral extension and ideal human states in texts like the Xunzi and Mencius. A further research direction involves advanced medical imaging techniques, such as motion correction in X-ray CT for improved lung imaging without respiratory gating.
Professor Jong Chul Han's research lab specializes in anterior segment imaging and glaucoma diagnostics, with a focus on the structural and biomechanical changes in the optic nerve head and lamina cribrosa in myopic and normal-tension glaucoma. The lab employs advanced imaging techniques such as enhanced-depth imaging optical coherence tomography (EDI-OCT) and deep learning-based analysis of OCT data to investigate glaucoma progression, axial elongation, and optic disc morphology. Key research directions include the role of lamina cribrosa defects, peripapillary atrophy, and intraocular pressure dynamics in glaucoma pathogenesis, particularly in high-risk populations such as myopic patients. The lab also explores innovative diagnostic tools using artificial intelligence to improve early detection and monitoring of glaucoma.
Professor In Kyu Kwon's research lab specializes in minimally invasive surgical oncology, with a focus on improving outcomes in gastrointestinal cancers through advanced imaging, artificial intelligence, and surgical innovation. The lab investigates the application of fluorescent lymphography, AI-driven endoscopic image analysis, and long-term results of laparoscopic surgery in gastric cancer. It also explores metabolic mechanisms following bariatric surgery, particularly glucose homeostasis and intestinal glucose excretion. The lab integrates clinical research with translational science to enhance diagnostic accuracy and surgical decision-making.
Professor Yun-Joon Lee's research lab specializes in advanced control systems and intelligent optimization techniques, with a strong focus on nuclear reactor power control and energy system dynamics. The lab integrates model predictive control, fuzzy logic, genetic algorithms, and system identification to develop robust, adaptive, and high-performance controllers for complex industrial systems. Research directions include intelligent control strategies for nuclear reactors, optimization of control parameters using hybrid metaheuristic algorithms, and the application of data-driven modeling techniques to improve system stability and efficiency. The lab also explores the integration of machine learning and control theory for real-time dynamic system management.
Professor Bong-Jin Yum's research lab specializes in reliability engineering and statistical quality control, with a strong focus on accelerated testing methodologies for product life prediction. The lab develops statistically optimal and compromise designs for accelerated degradation and life tests under various stochastic models, including Wiener processes and Weibull distributions, under Type-I censoring and intermittent or periodic inspection schemes. Key research directions include minimizing the asymptotic variance of lifetime quantile estimators at use conditions, validating stress-parameter relationships, and constructing robust sampling plans under uncertainty in acceleration factors. The lab also contributes significantly to process capability analysis and applications in supplier selection, tolerance design, and acceptance sampling.
Professor Ho Chun Choi's research lab focuses on the intersection of metabolic health, endocrine function, and chronic disease prevention, with a particular emphasis on metabolic syndrome, nonalcoholic fatty liver disease (NAFLD), thyroid dysfunction, and systemic inflammation. The lab investigates the role of hormonal imbalances—such as low testosterone and thyroid hormone abnormalities—alongside insulin resistance and visceral adiposity in the development of cardiometabolic disorders. Using large-scale population-based cohorts and clinical data, the lab aims to identify early biomarkers and modifiable risk factors for chronic diseases in the Korean population. Their work also explores medication adherence and inflammatory markers like hs-CRP in predicting long-term health outcomes.
Professor Dae-hyun Wei's research lab specializes in computational materials science and fluid dynamics, with a focus on thermoelectric materials and flow-induced instabilities. The lab investigates the electronic and phononic properties of skutterudites and other thermoelectric materials using first-principles calculations, aiming to optimize thermoelectric performance through atomic-scale engineering. Additionally, the lab explores the mechanisms of self-sustained oscillations in separating shear flows, particularly in backward-facing step and combustor configurations, using linear stability analysis and numerical simulations. These interdisciplinary efforts bridge materials design for energy conversion and fluid dynamics for clean energy applications.
Professor Hungsun Son's research lab specializes in advanced electromagnetic actuator design, magnetic field modeling, and intelligent control systems for precision motion control. The lab focuses on developing analytical and real-time computational methods—such as distributed multipole models and extended DMP models—for accurate magnetic force and inductance calculation in permanent magnet-based systems. A key research direction involves solving complex multi-target tracking problems in cluttered environments using innovative smoothing and data association algorithms, particularly for applications requiring robustness under low detection probabilities and uncertain target dynamics. The lab also explores open-loop control strategies for novel electromagnetic machines, such as spherical wheel motors, enabling high-precision, multi-degree-of-freedom motion control.
Professor Sungyeol Choi's research lab specializes in nuclear energy systems and advanced nuclear technologies, with a strong focus on nuclear fuel cycle management, radioactive aerosol behavior, and in-situ monitoring in harsh environments. The lab investigates critical challenges in nuclear decommissioning, including aerosol dynamics, corrosion-related deposits (CRUD), and spent fuel reprocessing scenarios, particularly in the context of China’s expanding nuclear energy program. Advanced diagnostic techniques such as laser-induced breakdown spectroscopy (LIBS) are developed and applied for real-time, high-precision elemental analysis in extreme conditions. The lab also explores plasma physics phenomena, such as magnetic reconnection in fusion-relevant devices, to support next-generation energy solutions.
Professor Jungsoon Choi's research lab specializes in spatial and environmental health analytics, focusing on the intersection of epidemiology, environmental factors, and statistical modeling. The lab investigates the spatio-temporal dynamics of disease spread, particularly infectious diseases like COVID-19 and chronic conditions such as cardiovascular diseases, by integrating geographic information systems (GIS), Bayesian hierarchical models, and advanced luminescence techniques. Key research directions include developing innovative statistical models for identifying spatial clusters with homogeneous health risk patterns and examining how built and environmental factors influence health outcomes across different populations and regions. The lab also contributes to environmental science through the analysis of luminescence signals in quartz for dating and environmental reconstruction.
