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 Yong-sung Joo's research lab focuses on plant-insect interactions, particularly the role of circadian rhythms and tissue-specific defense mechanisms in mediating indirect plant defense. The lab investigates how plants time their volatile emissions—especially green leaf volatiles and sesquiterpenes—through the circadian clock to optimize attraction of natural enemies of herbivores. Using molecular, physiological, and ecological approaches in native plants like *Nicotiana attenuata*, the lab explores how phytohormones such as jasmonates and strigolactones regulate tissue-specific defenses against herbivores with distinct feeding strategies.
Professor Jae-Hong Ahn's research lab focuses on interdisciplinary biomedical and environmental sciences, with key research directions spanning glaucoma management and medication adherence, paleontological trackway analysis from the Lower Cretaceous Jinju Formation, and the role of molecular regulators like CREB3L1 in endometriosis and progesterone resistance. The lab integrates clinical data, machine learning for fashion color trend analysis, and advanced imaging techniques such as reflectance transformation imaging (RTI) for cultural heritage documentation. These diverse research threads reflect a strong commitment to translational science, from human health to ancient ecosystems and digital heritage preservation.
Professor Jung Ho Kang's research lab focuses on advanced materials and systems for energy conversion and biomedical safety, with a strong emphasis on fuel cell technology and toxicological impacts of industrial chemicals. The lab investigates critical phenomena such as electrode flooding and water management in polymer electrolyte fuel cells, aiming to optimize performance through multi-scale modeling of porous transport layers. In parallel, the lab conducts clinical and translational research on neurotoxicity caused by environmental and pharmaceutical agents, including herbicides like glufosinate ammonium and nicotine overdose, with a focus on neurological sequelae and rare pathological findings. The integration of materials science and clinical toxicology defines the lab’s interdisciplinary approach to solving real-world challenges in energy efficiency and human health.
Professor Yongnam Kim's research lab specializes in causal inference and statistical methodology in social and behavioral sciences, with a strong focus on quasi-experimental designs, treatment effect estimation, and structural modeling. The lab investigates methodological challenges in observational studies, including bias reduction through gain scores, instrumental variables, propensity score matching, and regression discontinuity designs. It also explores issues in mediation analysis—particularly the risks of false complete mediation due to inadequate control of confounders—and applies causal graph theory to clarify identification assumptions and data-generating processes. The lab’s work bridges statistical theory with practical applications in education, health, and public policy.
Professor Suntae Ahn's research lab focuses on urological disorders, particularly interstitial cystitis/bladder pain syndrome (IC/BPS), with an emphasis on understanding the clinical and urodynamic differences associated with Hunner lesions. The lab investigates minimally invasive treatments for lower urinary tract symptoms, including injectable fillers like PGE with HA and PLA for improving urological function and patient-reported outcomes. Additional research explores postoperative pain after ureteroscopic stone removal and novel antibiotic regimens for resistant urinary tract infections, especially those caused by ESBL-producing organisms. The lab also examines sexual health behaviors in the Korean population, aiming to inform public health policy.
Professor Hyung-Jin Ko's research lab specializes in interdisciplinary research at the intersection of artificial intelligence, finance, and time series analysis. The lab focuses on developing advanced deep learning models for video-to-language understanding, with an emphasis on end-to-end trainable concept detection and semantic attention mechanisms to enhance language generation. In parallel, the lab investigates financial applications of emerging digital assets such as NFTs and DeFi tokens, analyzing their role as hedges and safe havens in global markets. The lab also develops adaptive ensemble learning methods for time-series data, particularly in dynamic and non-stationary environments.
Professor Yoon, Soo-Bin's research lab specializes in clinical data-driven healthcare innovation, focusing on leveraging machine learning and big data analytics to improve patient outcomes in critical care and perioperative medicine. The lab investigates real-time biosignal monitoring, predictive modeling for acute complications such as acute kidney injury and cardiac arrest, and the pathophysiology of rare but high-risk conditions like pheochromocytoma. By integrating advanced physiological signals—such as ECG-derived heart rate variability and EEG-based depth of anesthesia—with statistical and machine learning models, the lab aims to develop actionable, data-driven decision support tools for clinicians.
Professor Jae Beom Hong's research lab specializes in neuroregenerative therapies and advanced biomaterials for central nervous system injuries, with a strong focus on spinal cord injury and glioma treatment. The lab develops innovative hydrogel-based drug delivery systems, such as CHA-GNP-UDCA, to enable localized, targeted therapy using stimuli-responsive materials and near-infrared activation. They also investigate novel surgical approaches—like the endoscopic transorbital approach—for skull base tumors, aiming to improve resection accuracy and patient outcomes. Additionally, the lab contributes to clinical oncology guidelines, particularly in optimizing radiotherapy volumes for WHO grade III gliomas.
Professor Jongmin Sim's research lab specializes in molecular oncology and translational medicine, focusing on the role of transcription factors and microRNAs in cancer progression, particularly in aggressive breast cancer subtypes like triple-negative breast cancer. The lab investigates key regulatory molecules such as FOXO family proteins and miR-370, exploring their clinicopathological significance and functional roles in tumor proliferation, migration, and patient outcomes. Additionally, the lab examines neuro-immune interactions in gastrointestinal disorders, such as the gender-specific modulation of mast cell activation and neuropeptide release in IBS-D. The research integrates molecular pathology, immunohistochemistry, and clinical data to identify potential biomarkers and therapeutic targets.
Professor Da Won Park's research lab focuses on translational and clinical studies in internal medicine, with a strong emphasis on chronic disease mechanisms, systemic inflammation, and surgical outcomes. The lab investigates cardiovascular and metabolic risk factors in smoking behaviors, including dual use of e-cigarettes and conventional cigarettes, as well as the neuroendocrine responses to osmotic stress in the hypothalamus. Additionally, the lab explores autoimmune and allergic diseases, such as systemic lupus erythematosus and Th2-mediated inflammation, with a focus on novel therapeutic targets like thymic stromal lymphopoietin (TSLP). The lab also contributes to advancing minimally invasive surgical techniques, particularly transoral robotic thyroid surgery, by evaluating perioperative outcomes and complications in obese and non-obese patients.
Professor Sunwon Kim's research lab specializes in cardiovascular imaging and molecular diagnostics, focusing on the development and application of advanced intravascular imaging techniques to assess high-risk atherosclerotic plaques and stent-related inflammation. The lab integrates optical coherence tomography (OCT) with fluorescence lifetime imaging (FLIm) to enable simultaneous microstructural and biochemical characterization of coronary plaques, advancing precision assessment of plaque vulnerability. Additionally, the lab investigates subclinical cardiovascular changes in diabetes and smoking-related arterial stiffness, aiming to identify early biomarkers for diabetic cardiomyopathy and residual vascular risk in ex-smokers.
Professor Jörg Michael Dostal's research focuses on comparative welfare state politics, party system transformations, and crisis governance in advanced industrialized democracies, with a particular emphasis on Germany. His work examines the interplay between international organizations, such as the OECD, and national policy-making, especially in the realms of social and labour market reforms. He also investigates the rise of right-wing populist movements, the impact of migration and refugee policies on party systems, and emergency governance during crises such as the COVID-19 pandemic. His research combines institutional analysis with empirical studies on political economy and democratic governance.
Professor Kyung-Min Kim's research lab focuses on aging-related health disparities, particularly sarcopenia and psychological well-being in midlife populations, integrating biopsychosocial perspectives. The lab also investigates real estate market dynamics in urban settings, especially the Seoul office market, with an emphasis on vacancy rates, rental adjustment mechanisms, and the role of spatial and economic factors in commercial real estate. Using advanced econometric models and GIS-based spatial analysis, the lab explores the interplay between urban form, land use, and real estate pricing. Additionally, the lab contributes to public health policy through evidence-based recommendations on calcium and vitamin D nutrition, especially in the context of osteoporosis prevention in Korean populations.
Professor Lee Dong-ki's research lab specializes in urological interventional radiology and pediatric urology, with a strong focus on minimally invasive surgical techniques and the management of complex genitourinary disorders. The lab investigates renal vascular injuries, acute pyelonephritis epidemiology, and innovative procedures such as single-port (LESS) nephrectomy and mobile acoustic uroflowmetry for pediatric patients. Key research directions include improving diagnostic accuracy for rare renal vascular anomalies and advancing non-invasive, patient-friendly technologies in urology.
Professor Seung Kyum Kim's research lab specializes in urban environmental equity, climate adaptation, and the socioeconomic impacts of green infrastructure. The lab investigates how access to urban green spaces varies across socioeconomic groups, examines the role of greenspace in urban climate resilience, and analyzes the causal effects of environmental policies on housing markets and gentrification. Using advanced geospatial and econometric methods, the lab explores the interplay between urban form, environmental justice, and climate risk perception in rapidly urbanizing regions.
Professor Eunyoung Lee's research lab specializes in data-intensive computing, focusing on big data processing, distributed systems, and intelligent resource management in mobile and cloud environments. The lab develops advanced algorithms for robust license plate recognition using image processing and neural networks, while also advancing statistical methodologies such as modified Bayesian information criteria for high-dimensional quantile regression. A key research direction involves optimizing virtual machine consolidation and task scheduling in cloud data centers to balance performance, energy efficiency, and service level agreements. The lab also investigates challenges related to device mobility, availability, and dynamic resource utilization in mobile cloud computing.
Professor Bo-Yul Choi's research lab specializes in population health and preventive medicine, with a strong focus on chronic disease epidemiology, metabolic and cardiovascular health, and nutritional factors influencing blood pressure and homocysteine levels. The lab conducts large-scale community-based surveys and population-level analyses to identify risk factors for depression, metabolic syndrome, and micronutrient deficiencies. Key research directions include the impact of dietary patterns—such as fruit, vegetable, and salty vegetable intake—on blood pressure, as well as the determinants of hyperhomocysteinemia and mental health outcomes in the Korean adult population. The lab also evaluates public health survey methodologies to improve national health monitoring and vaccination coverage estimation.
Professor Hyeok Jeong's research lab specializes in macroeconomic dynamics, with a focus on the interplay between economic growth, income inequality, and institutional or demographic factors. The lab investigates how micro-level household decisions—particularly regarding education, occupation, and financial inclusion—are shaped by wealth constraints and demographic transitions. Using longitudinal microdata from developing economies like Thailand and South Korea, the lab conducts structural modeling and decomposition analyses to understand the drivers of inequality and growth over time. A central theme is the role of financial deepening, human capital accumulation, and demographic change in shaping long-term economic development and distributional outcomes.
Professor Seok Kim's research lab specializes in advanced micro- and nanofabrication, with a focus on stimuli-responsive surfaces, shape memory polymers, and scalable patterning techniques for functional materials. The lab pioneers innovative approaches in deterministic assembly, including transfer printing and photoresist contact patterning, to integrate nanomaterials like colloidal quantum dots and black silicon into complex, functional architectures. Key research directions include tunable wettability, reversible underwater adhesion, and magnetically or thermally actuated surfaces for applications in microfluidics, nanophotonics, and biosensing.
Professor Jong Hun Woo's research lab specializes in advanced manufacturing systems, with a focus on intelligent scheduling, simulation-based planning, and data-driven optimization in the shipbuilding and heavy industry sectors. The lab develops innovative methodologies combining reinforcement learning, multi-agent systems, and discrete event simulation to address complex scheduling challenges under high variability and uncertainty. Key research directions include smart factory implementation, digital twin technologies, and the integration of Industry 4.0 solutions for sustainable and efficient shipyard operations.
