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 Gyu Hyun Kwon's research lab specializes in the intersection of human-centered technology, healthcare environments, and intelligent service systems. The lab focuses on designing and evaluating intelligent healthscapes—technology-integrated physical environments that enhance patient and staff experiences in healthcare settings. Key research directions include the development of cognitive assessment and training tools tailored to aging populations, the socio-cognitive dimensions of emergency communication systems, and the theoretical and practical frameworks for smart virtual communities in professional contexts. The lab emphasizes empirical validation of technology-driven service innovations with a strong focus on usability, satisfaction, and real-world applicability.
Professor Jaewook Nam's research lab specializes in advanced coating processes and functional nanomaterials for next-generation electronic and energy devices. The lab focuses on understanding and optimizing multi-phase coating flows—such as dual-layer slot coating and confined dip coating—to achieve precise control over thin film morphology and uniformity. A key research direction involves the design and characterization of percolating networks of conductive nanowires, particularly silver nanowires, for stretchable and transparent conductive electrodes. The lab also develops computational and image analysis workflows to decode complex microstructures in battery anodes, enabling improved performance in lithium-ion batteries through microstructure control.
Professor Dong Hun Lee's research lab focuses on biomedical and environmental microbiology, with a strong emphasis on understanding microbial community structures in natural ecosystems using molecular techniques such as SSCP analysis of 16S rRNA genes. The lab also investigates the biological mechanisms of natural compounds—particularly ginseng and its ginsenosides—on human cell functions, especially in promoting hair follicle growth and protecting dermal papilla cells. Additionally, the lab explores the role of antioxidant enzymes like Peroxiredoxin 6 in inflammatory diseases, particularly in acute kidney injury models. The integration of molecular biology, cell signaling, and translational research defines the lab’s interdisciplinary approach.
Professor Kyung-Suk Suh's research lab specializes in hepatobiliary and pancreatic surgery, with a strong focus on liver transplantation, living donor liver donation, and the management of hepatocellular carcinoma and biliary strictures. The lab investigates clinical outcomes, diagnostic imaging (including PET-CT), and surgical techniques to improve graft and patient survival. Key research directions include optimizing donor hepatectomy procedures, addressing vascular and biliary complications post-transplant, and refining patient selection and classification systems for complex liver diseases.
Professor Sun Wook Cho's research lab focuses on the intricate roles of immune cells, particularly macrophages, and nuclear receptors such as FXR and PPARγ in bone metabolism and skeletal homeostasis. The lab investigates how immune cell subpopulations in the bone marrow microenvironment regulate bone formation and resorption, with a special emphasis on macrophage-mediated actions in response to hormonal signals like parathyroid hormone (PTH). Additionally, the lab explores the impact of metabolic nuclear receptors on bone health, linking systemic metabolism with skeletal integrity. Using advanced murine models, cell culture systems, and large-scale population databases like the Korean National Health Information Database, the lab integrates preclinical and epidemiological approaches to study bone diseases, thyroid cancer metastasis, and rare conditions.
Professor Saurabh Pathak's research lab specializes in the design, synthesis, and application of magnetic nanomaterials for advanced technological and biomedical applications. The lab focuses on developing stable magnetic fluids, magnetic nanoparticles, and nanocomposites with tailored magnetic, optical, and thermal properties for use in high-precision sensing, bio-imaging, targeted drug delivery, and thermal management in electronics. Key research directions include the development of nanomagnetic fluid-based sensors, microwave spin resonance characterization, and the investigation of antibacterial mechanisms of magnetic nanoparticles.
Professor Mihye Wu's research lab specializes in advanced energy storage materials, with a primary focus on next-generation batteries such as lithium-oxygen (Li–O₂) and lithium-metal batteries. The lab develops novel catalysts, carbon-free cathodes, and structured electrode substrates—leveraging 2D materials like MXenes, graphene, and functional oxides—to control lithium deposition morphology and reaction pathways. Key research directions include the rational design of nanomaterials for uniform ion flux distribution, dendrite suppression, and precise control over reaction intermediates in high-energy-density batteries.
Professor Jong-Woo Sohn's research lab focuses on the neural circuits and molecular mechanisms underlying energy balance, metabolism, and neuronal excitability. The lab investigates how hypothalamic neurons, particularly POMC and NPY/AgRP neurons, regulate appetite and energy homeostasis, with a particular emphasis on signaling pathways involving leptin, insulin, and mTOR in the ventromedial hypothalamus. Additionally, the lab explores the pathophysiological mechanisms of psychiatric drug-induced metabolic syndrome, such as risperidone-induced obesity, and the role of non-cell-autonomous signaling in focal epileptogenesis. Their work integrates electrophysiology, optogenetics, transcriptomics, and mouse models to uncover cellular and circuit-level mechanisms in metabolic and neurological disorders.
Professor Namki Hong's research lab specializes in clinical and translational research in endocrinology and metabolic diseases, with a focus on aging, osteoporosis, sarcopenia, and cardiovascular risk in older adults. The lab integrates advanced imaging techniques—such as DXA-based radiomics—and machine learning to improve risk prediction for fractures and metabolic disorders. It also investigates biomarkers like PTHrP and GGT in relation to cancer-associated wasting and metabolic syndrome, aiming to identify early indicators of disease progression. The lab emphasizes data-driven, interdisciplinary approaches combining clinical expertise with computational modeling to address unmet needs in geriatric and metabolic health.
Professor Guillermo F. López Sánchez's research lab focuses on the impact of public health emergencies—particularly the COVID-19 pandemic—on health-related behaviors across different age groups. The lab investigates changes in physical activity, sedentary behavior, sleep patterns, and dietary habits during periods of compulsory confinement, with a strong emphasis on vulnerable populations such as children, adolescents, and adults. Their work combines online survey methodologies with public health surveillance to inform policy and intervention strategies. The lab also explores the psychological correlates of physical inactivity, such as anxiety and mood disturbances, during isolation measures.
Professor Myungje Choi's research lab specializes in atmospheric aerosol characterization, focusing on satellite remote sensing, ground-based observations, and chemical transport modeling to understand aerosol distributions, optical properties, and their impacts on air quality and climate in East Asia. The lab develops and improves satellite algorithms—such as the GOCI Yonsei Aerosol Retrieval (YAER) for high-temporal-resolution aerosol monitoring—and validates these with AERONET and field campaign data (e.g., KORUS-AQ). Key research directions include aerosol diurnal variability, long-range transport of pollution, and the retrieval of fine particulate matter (PM2.5) from satellite aerosol optical depth (AOD). The lab also investigates model–observation discrepancies in air quality forecasting, particularly in simulating surface PM2.5 from AOD data.
Professor Suk Hyun's research lab specializes in financial economics with a focus on sustainable finance, institutional investor behavior, and financial market development in emerging and developing economies. The lab investigates the pricing of environmental, social, and governance (ESG) factors in capital markets, the role of green and infrastructure bonds in financing sustainable development, and the impact of corporate governance changes—such as CEO turnover—on ESG transparency. A central theme is the interplay between financial innovation, risk mitigation, and systemic stability in both advanced and emerging market contexts.
Professor Dongryul Oh's research lab specializes in radiation oncology and cancer survivorship, focusing on the long-term complications of radiotherapy, particularly radiation-induced insufficiency fractures and radiation proctitis. The lab investigates dosimetric predictors, sarcopenia, and prognostic factors in patients with gynecological and pelvic malignancies, aiming to improve treatment outcomes and quality of life. Their work integrates medical imaging, radiation biology, and clinical oncology to refine radiotherapy strategies and identify high-risk patients.
Professor Gyu-Seong Choi's research lab specializes in advanced laparoscopic and robotic liver surgery, with a strong focus on improving surgical outcomes in living donor liver transplantation and anatomical liver resection. The lab investigates surgical techniques, vascular and biliary anatomy variations, and their impact on complications and long-term graft survival. Key research directions include optimizing the transition from open to laparoscopic surgery, evaluating the feasibility of laparoscopic right hemihepatectomy in complex anatomical variants, and comparing surgical approaches like 'cut and clip' versus 'clip and cut' for biliary integrity. The lab also emphasizes oncological outcomes in hepatocellular carcinoma, particularly in the context of minimally invasive liver resection.
Professor Hyunyoung Park's research lab specializes in the development of advanced functional materials for next-generation energy storage systems, with a primary focus on lithium-sulfur, sodium-ion, and potassium-ion batteries. The lab emphasizes innovative materials design—such as nanostructured separators, metal-organic frameworks, and layered double hydroxides—to suppress polysulfide shuttling, enhance reaction kinetics, and improve structural stability. Key research directions include the rational engineering of conductive and catalytic matrices, functional coatings for current collectors, and the molecular-level tuning of redox-active components for high-performance batteries.
Professor Suhan Park's research lab specializes in internal combustion engine technologies, with a focus on fuel injection systems, spray dynamics, and after-treatment systems for reducing vehicle emissions. The lab investigates the fundamental characteristics of fuel sprays—particularly using alternative fuels like n-heptane and water—under varying injection conditions to optimize combustion efficiency. It also conducts comprehensive analysis of real-driving emissions (RDE) and after-treatment systems in modern diesel vehicles, especially those complying with Euro-6 standards, to evaluate their environmental performance. The lab combines experimental techniques such as phase Doppler anemometry and spray visualization with certification test data to advance clean engine technologies.
Professor Myong-Soo Chung's research lab specializes in advanced food processing and preservation technologies, focusing on sustainable extraction methods, food safety, and the development of functional food packaging materials. Key research directions include subcritical water extraction for bioactive compounds, pulsed electric field pre-treatment to enhance extraction efficiency, and the application of nuclear magnetic resonance (NMR) techniques to study molecular mobility and shelf-life stability. The lab also investigates antimicrobial treatments such as chlorine dioxide for fresh-cut produce and develops polypropylene/clay nanocomposites for improved food packaging performance.
Professor Young-Ho Ahn's research lab focuses on the molecular mechanisms underlying cancer progression, particularly in lung and breast carcinomas, with a central emphasis on transcriptional and post-transcriptional regulation. The lab investigates the roles of transcription factors (e.g., ZEB1), microRNAs (e.g., miR-200 family), tumor suppressor kinases (e.g., MAP2K4), and long non-coding RNAs in epithelial-to-mesenchymal transition (EMT), metastasis, and tumor microenvironment modulation. They also explore signaling pathways such as p38 MAPK and PKC in response to anticancer agents like 8-Cl-cAMP, aiming to identify novel therapeutic targets and biomarkers for non-small cell lung cancer and other malignancies.
Professor Sung-Yup Cho's research lab focuses on understanding the molecular mechanisms underlying cancer heterogeneity, tumor microenvironment regulation, and calcium-dependent signaling pathways in oncogenesis. The lab specializes in using patient-derived xenograft (PDX) models and high-throughput genomic technologies to study tumor evolution, drug response, and the roles of key enzymes such as transglutaminase 2 (TG2) and transglutaminase 4 in cancer progression. A central theme is the integration of genomic profiling with functional studies to advance precision oncology and identify novel therapeutic targets in aggressive cancers like gliosarcoma and gastric cancer.
Professor Jun-Gi Jang's research lab specializes in scalable and efficient tensor decomposition techniques for large-scale, dynamic, and irregular data, with a focus on enabling fast, accurate, and memory-efficient analysis of multidimensional data in both static and streaming environments. The lab develops advanced algorithms—such as D-Tucker, Zoom, DP AR2, and others—that address challenges in Tucker and PARAFAC2 decompositions for dense, temporal, and irregular tensors, including handling missing values and time-range queries. Their work bridges the gap between theoretical tensor methods and real-world data mining applications, such as phenotype discovery, fault detection, and time-series pattern recognition. The lab emphasizes practical efficiency, scalability, and adaptability to real-world data complexities.
