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 Eui Hyun Kim's research lab specializes in neurosurgical oncology and endocrine neurosurgery, with a focus on improving outcomes in brain tumors and pituitary disorders. The lab investigates novel therapeutic strategies for glioblastoma by targeting cancer stem cells through metabolic inhibition, as well as exploring predictive biomarkers—such as radiomic features and hormonal responses—for personalized treatment in prolactinomas and acromegaly. The team also contributes to the understanding and diagnosis of rare neurological conditions, including IgG4-related hypertrophic pachymeningitis, emphasizing the importance of histopathological and imaging-based differentiation. Their work bridges clinical neurosurgery with translational research, aiming to enhance surgical outcomes and guide adjuvant therapies.
Professor Joon Heo's research lab specializes in advanced remote sensing, 3D modeling, and intelligent systems for environmental and urban applications. The lab focuses on radiometric normalization of multispectral imagery, automated 3D reconstruction from laser scanning data, and atmospheric correction for accurate surface reflectance estimation. It also develops energy-efficient control systems for smart environments using wireless sensor networks. The lab integrates geometric modeling, point cloud processing, and signal analysis to solve real-world challenges in infrastructure monitoring, building information modeling (BIM), and sustainable energy management.
Professor Hyunkyu Kim's research lab focuses on the intersection of behavioral health, preventive medicine, and clinical interventions in South Korean populations. Key research directions include the impact of lifestyle factors—such as sleep quality, physical activity, and handgrip strength—on mental and cognitive health across the lifespan. The lab also explores psychosocial phenomena in digital contexts, such as envy in social media travel sharing, and investigates novel, non-pharmacological therapies for skin conditions like atopic dermatitis. These studies are grounded in large-scale population surveys and longitudinal data, emphasizing public health relevance and translational potential.
Professor Seong Taek Kim's research lab specializes in neuromuscular and orofacial pain disorders, with a focus on the clinical application of botulinum toxin type A (BoNT-A) for conditions such as sleep bruxism, chronic migraine, and facial asymmetry. The lab emphasizes innovative, image-guided injection techniques—particularly ultrasonography—to enhance precision and safety in treating masseter muscle-related pathologies. Additionally, the lab explores digital therapeutics and cognitive behavioral therapy (CBT)-based mobile applications for managing temporomandibular disorders (TMD), integrating technology with behavioral interventions. A key research direction involves anatomical mapping of peripheral nerves, such as the auriculotemporal nerve, to optimize BoNT-A delivery for pain management.
Professor Chung Mo Nam's research lab specializes in pharmaco-epidemiology and cardiovascular disease research, focusing on the long-term effects of medications on metabolic and cardiovascular outcomes. The lab investigates drug-dose relationships, particularly in obesity and hypertension management, using advanced statistical methods such as time-dependent Cox regression to minimize bias in longitudinal data. A key research direction involves understanding reproductive factors—such as age at first childbirth and menarche timing—as predictors of cardiovascular disease risk. The lab also examines the interplay between lifestyle, reproductive history, and chronic disease outcomes in population-based studies.
Professor Kyoung Hwa Lee's research lab focuses on molecular and cellular mechanisms underlying stem cell differentiation, cancer development, and epigenetic regulation. Key research directions include the crosstalk between tumor suppressor pathways like p53 and signaling cascades such as Wnt in embryonic stem cells, epigenetic regulators like PHF2 in adipogenesis, and the role of chronic infections—such as tuberculosis and CMV—in increasing the risk of cancer and neurodegenerative diseases. The lab also explores functional materials, particularly phosphors for next-generation lighting technologies, demonstrating a multidisciplinary approach spanning molecular biology, regenerative medicine, and materials science.
Professor Jung-Kul Lee's research lab specializes in the development of advanced functional materials and enzymatic systems for sustainable energy and environmental applications. The lab focuses on designing novel nanomaterials—such as hybrid carbon-based structures and yolk-shell particles—for energy storage and conversion, particularly in sodium-ion batteries and biocatalytic systems. A key research direction involves protein engineering and enzyme immobilization to enhance catalytic efficiency and stability for industrial and biotechnological processes. The lab also explores multienzymatic cascade reactions for CO2 conversion into valuable chemicals like methanol, integrating enzyme engineering with cofactor regeneration strategies.
Professor Ho Sang Jung's research lab specializes in the development of advanced nanomaterials and biosensors for biomedical applications, with a strong focus on cancer diagnosis and therapy, wearable diagnostics, and targeted drug delivery. The lab integrates nanomaterials such as graphene oxide, silver nanowires, and functionalized bacteriophages with techniques like surface-enhanced Raman spectroscopy (SERS) to enable label-free, rapid, and sensitive detection of disease biomarkers in bodily fluids. Key research directions include the design of stimuli-responsive nanocarriers for targeted cancer therapy, the engineering of wearable SERS sensors for real-time sweat analysis, and the application of metabolomics for early cancer detection.
Professor Oh-Min Kwon's research lab specializes in the analysis and control of uncertain dynamical systems, with a focus on time-delay systems, Markovian jump systems, and fuzzy modeling. The lab develops advanced stability criteria and filtering techniques using Lyapunov-based methods and linear matrix inequalities (LMIs), emphasizing robustness against parameter uncertainties and time-varying delays. Key research directions include finite-time performance analysis, passivity, and H∞ control in nonlinear and stochastic systems. The lab's work is highly application-oriented, addressing challenges in engineering systems with complex dynamics and uncertainties.
Professor Sang-Chol Lee's research lab focuses on cardiovascular and cerebrovascular diseases, with a particular emphasis on early detection, risk stratification, and pathophysiological mechanisms of silent and asymptomatic conditions. The lab investigates silent cerebral infarction, hypertrophic cardiomyopathy (especially apical variant HCM), and left ventricular global longitudinal strain (LV-GLS) as key prognostic markers. It also explores pharmacological interventions, such as iron supplementation to mitigate ACE inhibitor-induced cough, reflecting a translational approach combining clinical imaging, biomarkers, and therapeutic innovation.
Professor Hee-Jin Kim's research lab focuses on molecular and genetic mechanisms underlying endocrine disorders, particularly thyroid dysfunction and its impact on reproductive health. The lab investigates environmental toxicants like di(n-butyl) phthalate in the context of oxidative stress and hormonal imbalance in animal models. Additionally, the lab contributes to the genetic diagnosis of monogenic diseases, such as autosomal dominant non-syndromic hearing loss, using advanced genomic techniques. The research also extends to hematological malignancies, particularly MLL-rearranged leukemias, with a focus on rare gene fusions and their molecular pathology.
Professor E. H. Hwang's research lab specializes in the theoretical investigation of electronic transport and many-body effects in two-dimensional quantum materials, with a primary focus on graphene and related 2D systems. The lab explores carrier mobility, electron scattering mechanisms, and plasmonic excitations under various conditions such as temperature, doping, and disorder. Key research directions include the interplay between electron-electron interactions, impurity scattering, and screening effects in graphene, as well as the emergence of unique collective modes in double-layer and doped graphene structures. The work combines analytical and numerical methods to provide deep insights into quantum transport phenomena relevant to nanoscale electronic devices.
Professor Sunghyun Cho's research lab specializes in secure and efficient networking technologies for emerging communication systems, with a focus on vehicular networks, IoT security, blockchain integration, and energy-efficient positioning systems. The lab explores privacy-preserving authentication in V2X environments, lightweight blockchain solutions for resource-constrained IoT devices, and advanced localization techniques using Bluetooth Low Energy beacons. Additionally, the lab investigates sustainable technology applications, such as resource recovery from desalination wastewater, reflecting a multidisciplinary approach to solving real-world challenges in communication, security, and environmental sustainability.
Professor Moon Son's research lab specializes in advanced materials and electrochemical systems for sustainable water and energy solutions. The lab focuses on developing innovative desalination and ion separation technologies, including rechargeable seawater batteries, mixed capacitive deionization, and forward osmosis systems with enhanced efficiency. Key research directions involve designing functional nanomaterials—such as boron nitride nanotubes and metal hexacyanoferrate composites—for energy-efficient water purification and ion recovery, with an emphasis on reducing energy consumption and membrane fouling. The lab also explores electrochemical systems for selective ammonium recovery, contributing to resource recovery from wastewater.
Professor Sun Ju Chang's research lab specializes in neurobiology and health psychology, focusing on neural cell adhesion molecules and their roles in neurite outgrowth and axon guidance. The lab investigates behavioral interventions using the information-motivation-behavioral skills (IMB) model to improve health behaviors in individuals with chronic diseases. Additionally, the lab is dedicated to cultural adaptation and validation of health literacy tools, particularly eHealth literacy scales, for diverse populations such as older adults. The integration of molecular neuroscience with health behavior interventions defines the lab’s interdisciplinary approach.
Professor Tae-Jin Lee's research lab specializes in health economics and health policy, focusing on the economic evaluation of healthcare interventions, pharmaceutical policy, and health system performance. The lab investigates issues such as overdiagnosis in cancer, cost-effectiveness of medical technologies, and the economic burden of chronic diseases like ankylosing spondylitis. It also explores health financing mechanisms, including drug coverage systems and long-term care insurance, with a strong emphasis on real-world data and policy-relevant outcomes.
Professor Yang Zhao's research lab specializes in atmospheric dynamics, climate variability, and extreme weather events, with a strong focus on regional and global moisture circulation, particularly over the Tibetan Plateau and East Asia. The lab investigates the mechanisms behind extreme precipitation, atmospheric rivers, and the impacts of topography on weather systems using advanced reanalysis data, deep learning techniques, and dynamical modeling. Key research directions include the role of moisture transport, vortices over the Tibetan Plateau, and climate change impacts on precipitation patterns in monsoon and mid-latitude regions.
Professor Seung Yeun Chung's research lab specializes in radiation oncology, with a focus on improving treatment outcomes and reducing toxicity in cancer patients through advanced radiotherapy techniques. The lab investigates hypofractionated and re-irradiation strategies for various cancers, including breast, glottic, and rectal cancer, emphasizing personalized treatment planning and predictive biomarkers. Key research directions include the development and validation of deep learning-based auto-segmentation, dose-response relationships, and imaging-based risk prediction for complications such as cardiac toxicity and acute radiation-induced complications. The lab integrates multi-center, prospective, and retrospective clinical studies to translate findings into clinical practice.
Professor Jungmin Choi's research lab focuses on understanding the genetic and molecular mechanisms underlying aggressive cancers, particularly uterine leiomyosarcoma and hepatocellular carcinoma, through integrated multi-omics approaches including whole-exome, whole-genome, and RNA sequencing. The lab investigates somatic mutations, copy number variations, and the regulatory roles of non-coding RNAs—especially pseudogene-derived lncRNAs—in cancer progression and chemoresistance. By leveraging large-scale cancer genomics datasets such as TCGA, the lab aims to identify novel therapeutic targets and biomarkers for precision oncology. The research also extends to parasitic protozoa, where functional genomics and systems biology are applied to understand pathogenic mechanisms in trypanosomatids.
Professor Bo Kyoung Seo's research lab specializes in diagnostic medical imaging and artificial intelligence, focusing on advancing breast cancer detection, characterization, and risk prediction. The lab integrates advanced imaging techniques—such as low-dose CT perfusion, ultrasound elastography, and mammography—with machine learning and radiomics to extract quantitative biomarkers for improved diagnosis and prognosis. Key research directions include optimizing imaging protocols for better lesion conspicuity, developing deep learning models for risk stratification in Asian populations, and exploring the correlation between imaging features and molecular subtypes of breast cancer. The lab emphasizes clinical translation, aiming to enhance early detection and personalized treatment planning through innovative imaging and data science approaches.
