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 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.
Professor Hana Yi's research lab specializes in environmental and microbial microbiology, with a focus on the isolation and characterization of novel microbial strains from extreme and unique environments such as Antarctica, tidal flats, and marine habitats. The lab investigates microbial community dynamics in complex ecosystems, particularly in relation to environmental bioremediation, host-microbe interactions, and the application of high-throughput sequencing technologies in transcriptomics and microbial ecology. A key research direction involves understanding the roles of bacteria and archaea in soil and air environments, especially in human-influenced settings like childcare facilities and phytoremediation systems using genetically modified plants.
Professor Hugh I. Kim's research lab specializes in the structural characterization of biomolecules using advanced ion mobility spectrometry and mass spectrometry techniques. The lab focuses on understanding the conformational dynamics and aggregation mechanisms of amyloid proteins, pulmonary surfactant components, and disulfide-bonded peptides under biologically relevant conditions. Key research directions include the development of supramolecular strategies to inhibit amyloid fibrillation, investigating oxidative modifications of proteins at interfaces, and improving theoretical models for collision cross-section calculations in ion mobility-MS. The lab integrates soft ionization methods, such as FIDI-MS and ESI-MS, with biophysical techniques to probe metastable oligomers and structural transitions in disease-related proteins.
Professor Ju Hun Lee's research lab specializes in bioinspired nanomaterials and biosensing, focusing on developing highly sensitive, low-cost diagnostic platforms by leveraging the unique properties of biological systems—particularly the M13 bacteriophage—as functional scaffolds. The lab pioneers innovative sensor designs that integrate structural color, magnetic responsiveness, and signal amplification for applications in clinical diagnostics, environmental monitoring, and point-of-care testing. Key research directions include engineering phage-based arrays for chemical and biomarker detection, designing multifunctional nanowires for multiplexed sensing, and advancing magnetic nanoparticle-integrated assays for liquid biopsy applications such as ctDNA detection.
Professor Sung Eun Kim's research lab focuses on understanding the molecular mechanisms underlying cellular physiology and disease, with a strong emphasis on stem cell biology, cancer metabolism, and cell death pathways such as ferroptosis and apoptosis. The lab investigates how key signaling pathways—particularly YAP-TEAD—regulate metabolic enzymes like UGP2 in cancer progression, and explores the potential of stem cell-derived hepatocytes for regenerative medicine. Additionally, the lab examines neuroprotective strategies, including the use of bioactive molecules like bovine colostrum, to mitigate brain cell death in neurological disorders.
Professor Jungchan Park's research lab focuses on perioperative medicine and cardiovascular outcomes, with a particular emphasis on myocardial injury after noncardiac surgery (MINS), perioperative glucose metabolism, and the impact of pharmacological agents such as statins and NSAIDs on postoperative mortality and morbidity. The lab investigates biomarkers like high-sensitivity cardiac troponin I (hs-cTnI) and clinical predictors such as preoperative glucose and HbA1c levels to improve risk stratification and patient outcomes. Additionally, the lab explores the role of transcription factors like NFAT in immune and inflammatory responses, linking molecular mechanisms to clinical disease outcomes.
Professor Justin Sangwook Ko's research lab specializes in transplant surgery and hepatobiliary surgery, with a strong focus on improving outcomes in living donor liver transplantation. Key research directions include optimizing postoperative pain management in live donors, understanding the role of platelets and donor characteristics—such as sex and steatosis—in graft survival and hepatocellular carcinoma recurrence, and evaluating the impact of transfusions on patient outcomes. The lab integrates clinical research with translational insights to enhance donor safety and recipient long-term survival.
Professor Jinyoung Yu's research lab specializes in financial econometrics and market microstructure, with a focus on investor behavior, market liquidity, and systemic risk in financial markets. The lab investigates behavioral biases, informed trading, and the impact of regulatory frameworks such as Basel III on banking stability and procyclicality. Using high-frequency and tick-by-tick data from major financial markets—including options, futures, and exchange-traded products—the lab develops advanced risk models and event study methodologies to analyze market efficiency and liquidity dynamics.
Professor Do-Hyun Nam's research lab focuses on the molecular mechanisms underlying glioblastoma (GBM) pathogenesis, with a particular emphasis on tumor microenvironment interactions, glioma stem cell plasticity, and signaling pathways driving malignancy and therapy resistance. The lab investigates key regulators such as c-Met, Wnt/β-catenin, TGM2, and Notch signaling in promoting tumor invasiveness, mesenchymal transition, and brain metastasis. Their work integrates molecular oncology with translational insights to identify novel therapeutic targets for aggressive brain tumors.
