首尔大学、KAIST、延世大学等韩国QS前10名大学的研究室信息。
Professor Tak Kyu Oh's research lab specializes in clinical and translational research focusing on perioperative medicine, oncology, and public health outcomes. The lab investigates biomarkers such as the CRP/albumin ratio for predicting mortality in critically ill patients, explores the impact of anesthetic techniques on long-term cancer survival, and examines the association between postoperative opioid use and cancer recurrence. Additionally, the lab addresses health disparities, particularly the influence of socioeconomic status on infectious disease risk, including COVID-19, and evaluates respiratory comorbidities in infectious and oncologic contexts. Their work bridges critical care, surgical oncology, and population health to improve patient outcomes through evidence-based strategies.
Professor Sungyeol Choi's research lab specializes in advanced nuclear energy systems and associated safety challenges, with a focus on radioactive aerosol behavior, spent fuel management, and in-situ monitoring in harsh nuclear environments. The lab investigates the aerodynamic and chemical characteristics of radioactive particles during decommissioning, develops innovative sensing technologies like precision LIBS for molten salt reactors, and models complex phenomena such as CRUD (Corrosion-Related Unidentified Deposit) formation in pressurized water reactors. Their work bridges nuclear engineering, materials science, and environmental safety, aiming to enhance the sustainability and safety of nuclear energy systems.
Professor SangJoon Shin's research lab specializes in advanced computational mechanics, fluid-structure interaction, and smart structural systems, with a focus on developing innovative design and analysis methodologies for aerospace and renewable energy applications. The lab pioneers non-intrusive model order reduction techniques, particularly using machine learning and proper orthogonal decomposition, to accelerate high-fidelity simulations of complex flow and structural dynamics. Key research directions include aerodynamic optimization of wind turbine and rotor blades, active control of rotorcraft vibrations using smart materials, and the development of reduced-order models for parametric flow field analysis. The lab also explores geometrically nonlinear finite elements and multi-body dynamics for flapping wing micro-air vehicles and moving structures.
Professor Hyeong Gon Yu's research lab specializes in retinal and uveal diseases, with a focus on understanding the underlying pathophysiology of ocular conditions such as retinitis pigmentosa, diabetic retinopathy, pathologic myopia, and uveitis. The lab employs advanced proteomic and immunophenotypic analyses to identify biomarkers and elucidate immune mechanisms driving disease progression, particularly in microvascular and inflammatory eye disorders. A key emphasis is placed on translating molecular findings into clinical insights for improved diagnosis, treatment, and patient outcomes.
Professor Junho Chung's research lab specializes in translational immunology and targeted cancer therapy, focusing on the molecular mechanisms of immune responses and receptor signaling in disease. The lab investigates stereotypic antibody responses in viral infections, such as SARS-CoV-2, and explores therapeutic targets like gremlin-1, VCAM-1, and HER2 mutants in cancer. Utilizing advanced techniques such as phage display and structural immunology, the lab develops novel biologics—including chimeric antibodies and inhibitors—for precision medicine applications. Current work emphasizes understanding receptor-ligand interactions and designing therapeutics with improved specificity and reduced off-target effects.
Professor Chulbom Lee's research lab specializes in transition metal-catalyzed organic transformations, with a strong focus on the development of novel catalytic mechanisms involving reactive intermediates such as metal vinylidenes, alkenylidenes, and radical species. The lab explores visible-light-driven photocatalysis for selective C–H functionalization and C–X bond activation, enabling mild and efficient synthesis of complex organic molecules. A key theme is the design of sustainable catalytic systems that operate under ambient conditions, often leveraging unique reactivity patterns of iridium and rhodium complexes. The group also investigates photophysical processes in fluorescent dyes, particularly photoconversion artifacts in super-resolution imaging, linking fundamental mechanistic insights to practical applications in biophysics and materials science.
Professor Hogyeom Kim's research lab specializes in the design and development of reconfigurable terahertz and millimeter-wave (mmWave) devices using liquid crystal (LC) and polymer network liquid crystal (PNLC) technologies. The lab focuses on advancing high-efficiency, beam-scanning, and polarization-controllable reflectarrays and metasurfaces for next-generation wireless communication systems, particularly for 6G applications. Key research directions include low-loss unit cell design, dynamic phase and polarization control, and innovative biasing techniques for fast and low-voltage operation. The lab also emphasizes accurate electromagnetic characterization and equivalent circuit modeling of anisotropic LC materials at mmWave frequencies.
Professor Hyunjung Kim's research lab focuses on interdisciplinary studies at the intersection of health, urban planning, and data-driven decision making. Her work explores the physiological impacts of exercise on metabolic health, particularly through myokines like irisin, while also investigating the role of environmental factors—such as walkability—in shaping urban living and public health outcomes. Additionally, the lab examines the integration of big data and business intelligence for sustainable policy and industry development, especially in response to global challenges like the COVID-19 pandemic. The lab emphasizes evidence-based solutions that bridge biological, urban, and technological domains.
Professor Ji-hoon Kim's research lab specializes in diagnostic and interventional radiology, with a primary focus on thyroid nodules and thyroid cancer management. The lab investigates minimally invasive ablation techniques—particularly radiofrequency ablation (RFA)—as effective alternatives to surgery for low-risk papillary thyroid microcarcinomas and recurrent thyroid cancers. Research also emphasizes improving diagnostic accuracy through core needle biopsy and refining active surveillance protocols using serial ultrasound monitoring. The lab integrates clinical imaging, evidence-based guidelines, and patient-centered outcomes to optimize thyroid cancer care.
Professor Jongoh Shin's research lab specializes in microbial systems biology and synthetic microbiology, with a focus on understanding and engineering beneficial gut bacteria and acetogenic microbes for medical and biotechnological applications. The lab investigates host-microbe interactions, particularly the regulatory mechanisms of probiotic bacteria like *Akkermansia muciniphila* and *Eubacterium limosum*, in response to dynamic host environments. By integrating multi-omics approaches, genome-scale genetic tools, and CRISPR-based technologies, the lab aims to decipher genotype-phenotype relationships and develop precision microbial engineering strategies for healthy ageing and sustainable biocatalysis.
Professor Seong Hoon Bae's research lab specializes in auditory neuroscience and otology, focusing on the immune response and inflammatory mechanisms in the inner ear. The lab investigates the dynamic roles of immune cells—particularly neutrophils and macrophages—during cochlear inflammation, hearing loss, and injury repair, using advanced intravital imaging and animal models. Key research directions include understanding the pathophysiology of age-related hearing loss, delayed facial palsy after middle ear surgery, and rare inner ear tumors such as endolymphatic sac tumors. The lab integrates clinical data with experimental models to uncover cellular and molecular mechanisms underlying hearing preservation and neurotologic disorders.
Professor Hyung Woo Kim's research lab focuses on clinical and translational studies in nephrology, oncology, and environmental health, with a strong emphasis on identifying biomarkers and predictive models for disease progression. The lab investigates inflammatory markers in pancreatic cancer, dialysis adequacy using machine learning, and risk factors for post-surgical complications such as gallstone formation. Additionally, the lab explores the immunomodulatory effects of micronutrients like vitamin C on dendritic cells, linking basic immunology to clinical outcomes. Their work bridges clinical medicine with data science and pathophysiology to improve patient outcomes in chronic and acute diseases.
Professor Yeonsoo Jang's research lab focuses on patient self-management and health behavior interventions, particularly among individuals with chronic diseases such as diabetes, hypertension, and heart failure. The lab investigates the role of self-efficacy, psychosocial factors, and theory-based interventions—especially those grounded in social cognitive theory—in improving health outcomes. A key focus is adapting evidence-based self-management programs for Korean cultural contexts and evaluating the effectiveness of eHealth technologies in managing conditions like NAFLD and chronic disease. The lab also explores how patient education and realistic illness perceptions can reduce psychological distress in cancer patients.
Professor Young-Hoon Kim's research lab specializes in advanced functional materials and their applications in energy conversion and environmental sustainability, with a strong focus on nanomaterials for electrochromic devices and energy harvesting. The lab explores innovative solutions in transparent conductive oxides, organic electronics, and triboelectric nanogenerators, aiming to enhance device efficiency, durability, and low-power operation. Additionally, the lab investigates cross-cultural psychological dynamics, particularly regarding social perception, emotion regulation, and attitudes toward neurodiversity, integrating social science with engineering research. This interdisciplinary approach bridges materials science and social cognition to address real-world challenges in energy and human well-being.
Professor Sae Byeok Jo's research lab specializes in the development and application of advanced nanomaterials for next-generation optoelectronic and energy conversion devices. The lab focuses on solution-processed nanomaterials such as zinc oxide nanocrystals, MXenes, graphene-organic heterostructures, and one-dimensional conjugated polymer nanowires, with an emphasis on enhancing device performance through nanostructure engineering and interfacial control. Key research directions include improving charge transport, photon harvesting, and energy conversion efficiency in organic photovoltaics and multivalued logic devices.
Professor Juwon Oh's research lab specializes in physical and structural organic chemistry, with a central focus on aromaticity and its dynamic behavior in excited electronic states. The lab investigates Baird's rule and aromaticity reversal—particularly the transition from Hückel to Möbius topology and from aromatic to antiaromatic character in triplet excited states—using advanced spectroscopic techniques and high-level quantum calculations. A key research direction involves designing and synthesizing large, flexible macrocyclic systems such as expanded porphyrins and carbaporphyrins to probe electronic delocalization, conformational switching, and photoresponsive behavior. The lab also explores functional molecular architectures, including nanographene-fused porphyrins and metal-complexed systems, to understand how electronic communication and steric effects govern photophysical and coordination properties.
Professor Hyunjung Shim's research lab specializes in computational imaging and computer vision, with a focus on advanced 3D reconstruction, image denoising, and face modeling under complex lighting and material conditions. The lab develops deep learning-based methods for enhancing image quality in low-dose and noisy imaging scenarios, particularly using generative adversarial networks (GANs) and perceptual losses. It also pioneers techniques for face relighting and realistic face synthesis without explicit 3D shape reconstruction, leveraging subspace models of reflectance and probabilistic diffuse/specular modeling. The lab’s work bridges the gap between physical imaging limitations and perceptually accurate rendering, especially for challenging materials like translucency and varying surface reflectance.
Professor Nam Hoon Cho's research lab specializes in molecular oncology and urological pathology, with a focus on understanding the role of viral oncoproteins—particularly HPV—in carcinogenesis, especially in oropharyngeal and tonsillar cancers. The lab investigates tumor microenvironment interactions, including cancer-associated fibroblasts in breast cancer brain metastasis, and explores novel biomarkers for early detection of renal cell carcinoma. Using integrative approaches combining immunohistochemistry, molecular diagnostics, and functional assays, the lab aims to improve diagnostic accuracy and prognostic prediction in renal and epithelial tumors.
Professor Jin-Man Jung's research lab specializes in cerebrovascular disease, with a focus on stroke mechanisms, imaging biomarkers, and secondary prevention strategies. The lab investigates radiological predictors of stroke recurrence, particularly in intracranial arterial stenosis and Takotsubo-like myocardial dysfunction, using advanced neuroimaging and clinical data. It also explores the role of medical therapies such as statins and cilostazol in improving outcomes after stroke, integrating systematic reviews and machine learning models for risk prediction. The lab emphasizes translational research, combining clinical trials, real-world data, and interpretable artificial intelligence to enhance stroke prognosis and personalized treatment.
Professor Ki Hoon Ahn's research lab specializes in maternal-fetal medicine with a strong focus on leveraging artificial intelligence and advanced medical imaging to improve the prediction and diagnosis of pregnancy complications. The lab investigates the application of machine learning models—such as neural networks, support vector machines, and random forests—to diverse clinical data types, including ultrasound, electrohysterographic signals, and fetal imaging, for early detection of preterm birth, fetal growth restriction, and other adverse outcomes. The lab also explores anatomical and placental markers, such as placental thickness-to-weight ratios and placenta previa, to predict neonatal morbidity like respiratory distress syndrome. Ethical considerations in AI-driven perinatal care are also a growing focus in their translational research.
