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 Taesun Park's research lab focuses on the molecular mechanisms underlying metabolic disorders such as obesity, insulin resistance, and hepatic steatosis, with a strong emphasis on identifying and validating natural bioactive compounds for their preventive and therapeutic potential. The lab investigates dietary supplements and plant-derived phytochemicals—including green coffee bean extract, olive leaf extract, carvacrol, and undecane—through in vivo and in vitro models to elucidate their effects on adipogenesis, inflammation, lipid metabolism, and immune modulation. A central theme is the regulation of key signaling pathways such as WNT10b/galanin, TLR4, LXRα/SREBP1c, and cAMP-mediated inflammatory responses. The lab integrates molecular biology, gene expression analysis, and metabolic phenotyping to translate preclinical findings into potential nutraceutical and functional food applications.
Professor Sehyun Shin's research lab specializes in developing advanced microfluidic and biophysical technologies for point-of-care diagnostics and cellular biomechanics. The lab focuses on understanding and measuring erythrocyte deformability as a biomarker for metabolic and microvascular diseases such as diabetes mellitus, while also pioneering rapid, sensitive, and low-cost detection methods for viral pathogens like SARS-CoV-2. Key research directions include microfluidic ektacytometry, nucleic acid amplification techniques (e.g., rolling circle amplification), and the application of DNA hydrogel formation for real-time pathogen detection. The lab integrates principles from biophysics, microengineering, and clinical diagnostics to create innovative tools for early disease diagnosis and monitoring.
Professor Joo Chan Lee's research lab specializes in advancing deep learning and neural representations for computer vision and multimedia applications, with a strong focus on efficient and high-fidelity 3D and video reconstruction. The lab explores novel neural rendering techniques such as Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting to enable fast, accurate 3D scene representation and rendering. A key research direction involves optimizing computational efficiency for edge deployment through collaborative inference and reconfigurable deep learning architectures, particularly for object detection and video processing. The lab also develops specialized neural network designs for challenging imaging scenarios, such as dense and small object detection in aerial imagery.
Professor Daewon Sohn's research lab specializes in the development and application of functional nanomaterials, particularly halloysite nanotubes (HNTs), for advanced coating technologies. The lab focuses on tailoring the surface and pore structure of HNTs through pH- and chemical-based treatments to enable controlled release of corrosion inhibitors. A key research direction involves enhancing the performance of polyurethane (PU) coatings by encapsulating sensitive corrosion inhibitors, such as 2-mercaptobenzimidazole and 2-mercapatobenzothiazole, while preventing their premature reaction with diisocyanate. The lab also investigates the tunable porosity and dispersion behavior of HNTs to optimize their use in multifunctional, environmentally friendly coatings.
Professor In-Seon Lee's research lab focuses on integrative biomedicine, particularly exploring the neurobiological mechanisms of pain modulation and the therapeutic potential of natural products such as herbal essential oils and ginseng pharmacopuncture. The lab investigates brain-gut axis interactions, functional neuroimaging in functional dyspepsia, and acupuncture's effects on visceral pain and inflammatory markers. A key emphasis is on translating preclinical findings into clinical applications through rigorous systematic reviews and bibliometric analyses. The lab also examines the antioxidant and bioactive components of medicinal herbs to support evidence-based integrative therapies.
Professor Jiyeon Lee's research lab specializes in digital health interventions, eHealth literacy, and mobile health technologies, with a strong focus on improving health outcomes through evidence-based digital solutions. The lab investigates the effectiveness and security of emerging web-based health applications, such as Progressive Web Apps, while also advancing rehabilitation technologies for chronic conditions like stroke. A key research direction involves evaluating and enhancing the psychometric quality of health literacy instruments and digital tools to support clinical decision-making and patient empowerment.
Professor Chul-Hyun Cho's research lab specializes in the intersection of circadian biology, digital health, and mental health, focusing on how environmental factors—particularly light exposure—affect mood and sleep regulation. The lab employs machine learning and digital phenotyping to develop early detection tools for mood disorders using real-world behavioral and physiological data. Key research directions include understanding the impact of artificial light at night on sleep architecture and circadian rhythms, and translating these findings into clinical applications for early intervention in bipolar and mood disorders. The lab also emphasizes translational research, bridging basic chronobiology with digital technology for personalized mental health care.
Professor Hocheol Song's research lab specializes in environmental remediation using advanced nanomaterials, with a primary focus on the degradation of persistent organic pollutants such as chlorinated hydrocarbons. The lab investigates the reactivity and mechanisms of nanoscale zero-valent iron and other engineered nanomaterials in reducing toxic chlorinated ethanes and related compounds in aqueous systems. Current research emphasizes optimizing reaction kinetics, understanding surface reactivity, and improving the efficiency and selectivity of nanoscale iron particles for practical environmental applications. The lab also explores the influence of solution conditions and material properties on degradation pathways and rates.
Professor In Ah Kim's research lab specializes in translational oncology, focusing on improving cancer treatment outcomes through advanced imaging, molecular targeted therapies, and radiation sensitization strategies. The lab investigates machine learning applications in neuro-oncology to differentiate pseudoprogression from true disease progression in glioblastoma, while also exploring molecular pathways—such as EGFR, HER-2, K-RAS, and HDAC signaling—that influence radiosensitivity in various cancers. Their work integrates clinical imaging, molecular biology, and pharmacologic interventions to develop precision radiotherapy approaches.
Professor Won-Jin Yi's research lab specializes in medical image analysis and intelligent diagnostic systems, focusing on enhancing diagnostic accuracy in dentistry and oral surgery through advanced machine learning and signal processing. The lab develops AI-driven solutions for automatic diagnosis using panoramic radiographs and cone-beam CT, aiming to improve image quality and Hounsfield unit accuracy via deep generative models. Another key direction involves wearable, unobtrusive physiological monitoring, particularly respiratory signal extraction from ECG using wavelet transforms and textile electrodes. The lab also explores robotic and image-guided navigation systems to improve precision in orthognathic surgery.
Professor Kyu Eun Lee's research lab specializes in minimally invasive and endoscopic thyroid and parathyroid surgery, with a focus on advancing surgical techniques for optimal cosmetic outcomes and patient recovery. The lab also conducts molecular studies on thyroid tumors, particularly follicular thyroid carcinoma and its benign counterparts, to identify genetic and transcriptomic markers that distinguish malignant from benign disease. Their work integrates surgical innovation with molecular pathology to improve preoperative diagnosis and treatment strategies.
Professor Sungjoo Hwang's research lab specializes in construction engineering and disaster resilience, focusing on improving safety, productivity, and cost efficiency in construction projects. The lab develops advanced systems for real-time monitoring of workers’ emotional states and situation awareness using EEG and other physiological data, aiming to enhance on-site safety and decision-making. It also pioneers automated forecasting tools for construction material costs and dynamic simulation models for post-disaster facility restoration, emphasizing system integration and real-world applicability. The lab’s work bridges engineering, data science, and human factors to support resilient and sustainable infrastructure development.
Professor Chong-Su Cho's research lab specializes in advanced biomaterials and nanomedicine, focusing on the development of smart polymeric and nanoparticulate systems for targeted drug and gene delivery. The lab investigates stimuli-responsive polymers—particularly pH-responsive and redox-sensitive materials—engineered to overcome biological barriers in intracellular and extracellular environments. A key research direction involves the application of natural polymers like chitosan and bioactive compounds such as EGCG in vaccine delivery and regenerative medicine. The lab also explores theranostic magnetic nanoparticles for imaging-guided therapy and the molecular mechanisms underlying cellular responses to bioactive agents.
Professor Soo-Kil Kim's research lab specializes in the development of advanced electrocatalysts for clean energy applications, particularly focusing on proton exchange membrane water electrolysis (PEMWE). The lab explores nanostructured, non-precious, and low-platinum catalysts with tailored compositions and morphologies to enhance catalytic activity, stability, and mass activity for the hydrogen evolution reaction (HER). Key research directions include electrodeposition-based synthesis of hierarchical and self-supporting catalysts, structural reconstruction for improved performance, and the mechanistic understanding of additives in electrodeposition processes such as superfilling and surface adsorption effects. The lab emphasizes practical scalability and minimal precious metal usage to enable cost-effective green hydrogen production.
Professor Meehye Lee's research lab specializes in atmospheric chemistry, with a focus on trace gas and aerosol characterization in polluted and biomass-burning influenced environments. The lab investigates the sources, formation mechanisms, and atmospheric impacts of reactive trace gases such as hydrogen peroxide, formaldehyde, and organic hydroperoxides, as well as fine particulate matter (PM2.5) and black carbon. Key research directions include secondary pollutant formation, emission ratio analysis, and the development of sensitive analytical methods for atmospheric hydroperoxides and aerosol components. The lab's work integrates field measurements, laboratory experiments, and model comparisons to understand air quality and climate-relevant processes in East Asia and the tropics.
Professor Mi-Ran Ki's research lab specializes in regenerative medicine and biomaterials science, with a focus on developing advanced nanoengineered biomaterials—particularly silica-based systems—for tissue repair and regeneration. The lab investigates the molecular mechanisms of bacterial virulence factors, such as *Helicobacter pylori* VacA, in host cell apoptosis and explores the therapeutic potential of probiotic strains like *Lactobacillus paraplantarum* KNUC25 in combating gastric pathogens. Additionally, the lab integrates biological cues with synthetic materials to design smart, biomimetic wound dressings and drug delivery systems that respond to physiological signals, including circadian rhythms and extracellular matrix dynamics. Their work bridges microbiology, nanotechnology, and translational medicine to create innovative solutions for chronic diseases and tissue repair.
Professor PooGyeon Park's research lab specializes in robust control, signal processing, and system stability analysis, with a strong focus on time-delay systems, Lur'e systems, and adaptive filtering algorithms. The lab develops advanced stability criteria using linear matrix inequalities and frequency-domain analysis, particularly for systems with uncertainties and nonlinearities. It also pioneers reliable state estimation algorithms and improved adaptive signal processing techniques, such as the affine projection and normalized least-mean-squares algorithms, with enhanced convergence and robustness. The lab emphasizes both theoretical rigor and practical applicability in engineering systems.
Professor Jaehoon Jeong's research lab specializes in intelligent vehicular networks and wireless communication systems, focusing on optimizing data delivery and traffic management in dynamic urban environments. The lab explores trajectory-based forwarding schemes, privacy-preserving data dissemination, and energy-efficient target tracking in vehicular ad hoc networks and wireless sensor networks. A key focus is on leveraging GPS trajectory data and vehicular kinematics to enable efficient, infrastructure-assisted data delivery and self-adaptive navigation systems. The lab also develops cloud-integrated solutions for real-time, network-wide traffic optimization through vehicle-cloud interaction.
Professor Sukkee Um's research lab specializes in advanced energy conversion and storage technologies, with a strong focus on proton exchange membrane (PEM) fuel cells, electrochemical energy systems, and sustainable biofuels. The lab develops multi-scale computational models and advanced nanomaterials to optimize performance, efficiency, and durability in clean energy devices. Key research directions include three-dimensional CFD modeling of fuel cell transport phenomena, synthesis of novel multi-metal sulfides for electrochemical energy storage, and numerical simulation of alternative biofuel combustion in internal combustion engines. The lab integrates experimental characterization with high-fidelity numerical simulations to address critical challenges in energy sustainability.
Professor Min Hyung Lee's research lab specializes in the design and fabrication of advanced nanomaterials for sustainable energy and environmental applications. Key research directions include electrocatalytic CO₂ conversion using tailored copper-based nanostructures, photoelectrochemical hydrogen evolution through nanoengineered semiconductor heterostructures, and high-performance nanofiber filters for air purification. The lab also develops innovative nanofabrication techniques such as solvent-assisted nanoscale embossing for tunable plasmonic and sensing platforms.
