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 Boyoung Y. Park's research lab specializes in transition-metal-catalyzed C–H functionalization and C–C/C–X bond formation, with a strong focus on developing sustainable and selective transformations using earth-abundant and base-metal catalysts. Key research directions include the design of ruthenium- and osmium-based catalysts for selective C–H activation, redox-triggered coupling processes, and visible-light-mediated cross-coupling in continuous flow. The lab also explores liquid organic hydrogen carriers (LOHCs) as part of the broader hydrogen economy, emphasizing efficient and selective catalytic hydrogenation and dehydrogenation processes.
Professor Heeyeun Yoon's research lab specializes in urban sustainability, environmental justice, and the socio-spatial impacts of urban development and environmental hazards. The lab investigates how urban planning policies—such as incentive zoning, green infrastructure, and disaster resilience strategies—affect housing markets, public space accessibility, and environmental health outcomes. Using advanced spatial and statistical modeling, including multilevel and survival analysis, the lab explores the interplay between urban form, environmental change, and community well-being in both U.S. and Asian urban contexts.
Professor Jong-Ho Lee's research lab focuses on the intersection of cancer metabolism and nanomaterials for regenerative medicine. The lab investigates metabolic reprogramming in cancer, particularly the role of key glycolytic enzymes like PFKP in glioblastoma, and explores how signaling pathways such as PI3K/AKT regulate tumor progression. Concurrently, the lab develops advanced graphene-based nanocomposites—such as rGO/HAp hybrids—to enhance osteogenic differentiation of stem cells and promote bone regeneration, demonstrating their potential as bioactive materials in tissue engineering. These dual research directions highlight a strong emphasis on translational applications in oncology and regenerative medicine.
Professor Hervé Hugonnet's research lab specializes in advanced optical microscopy techniques for label-free, quantitative 3D imaging of biological and soft materials. The lab focuses on developing innovative methods in holotomography, dielectric tensor tomography, and quantitative phase imaging to reconstruct refractive index and optical anisotropy distributions in thick, intact samples with high resolution and minimal artifacts. Key research directions include optimizing illumination schemes for artifact-free tomographic reconstruction, mitigating scattering effects in thick tissues, and leveraging intrinsic sample dynamics to enhance axial resolution. The lab's work enables non-invasive, quantitative morphological and structural analysis of living cells and tissues without staining or labeling.
Professor Won-Il Jeong's research lab focuses on the immunological and cellular mechanisms underlying liver fibrosis, with a particular emphasis on the roles of innate immune receptors (such as TLR3), signaling molecules (like STAT1 and SOCS1), and immune cell crosstalk (including HSCs, γδ T cells, NK cells, and Kupffer cells) in disease progression. The lab investigates how endogenous ligands, exosomes, and metabolites (e.g., mtdsRNA) activate pathogenic inflammatory pathways in the context of alcoholic liver disease and cholestatic or toxic liver injury. A central theme is identifying novel therapeutic targets—such as TLR3, IFN-γ/STAT1 axis, and regulatory circuits involving IL-10—for fibrosis modulation.
Professor Hye-Yeong Chun's research lab specializes in atmospheric dynamics, with a primary focus on gravity wave processes and their impacts on large-scale circulation, particularly in the context of tropical and equatorial meteorology. The lab investigates gravity wave momentum flux, turbulence in the free atmosphere, and the role of convective sources in driving stratospheric variability such as the quasi-biennial oscillation (QBO). Using high-resolution observational data and advanced numerical modeling, the lab develops and refines parameterizations for subgrid-scale gravity waves to improve climate and weather models. Their work bridges theoretical analysis, observational validation, and numerical simulation to enhance understanding of wave-mean flow interactions in the atmosphere.
Professor Chan-Moon Chung's research lab specializes in the development of advanced functional materials with a focus on self-healing systems, microencapsulation technologies, and low-temperature curing polymers. The lab explores innovative polymer chemistry and materials engineering to design stimuli-responsive coatings and encapsulated healing agents for applications in electronic packaging, protective coatings, and dental composites. Key research directions include the synthesis of reactive monomers, viscoelastic healing agents, and temperature-adaptive systems for durable, long-lasting materials in harsh environments.
Professor Youngho Kim's research lab specializes in biomedical engineering and wearable technology, focusing on fall detection systems, lower-limb assistive devices, and health monitoring using inertial sensors. The lab develops advanced algorithms and smart orthoses—such as active ankle-foot orthoses and spring-trigger airbag systems—to prevent injuries in elderly and hemiplegic patients. Research spans from signal processing and real-time gait analysis to the integration of force sensors and complementary filters for improved detection accuracy. The lab also applies data mining techniques to patent texts for technological trend analysis, demonstrating a multidisciplinary approach to healthcare innovation.
Professor Won-Joo Kim's research lab focuses on the epidemiology and clinical characteristics of neurological and sleep disorders, with a particular emphasis on epilepsy, insomnia, and obstructive sleep apnea (OSA) in the Korean population. The lab investigates the interplay between neurological conditions and systemic factors such as thyroid dysfunction, identifying modifiable risk factors and improving clinical outcomes through population-based studies. Their work bridges clinical neurology with public health, aiming to enhance early diagnosis and personalized treatment strategies.
Professor Jiyoung Yoon's research lab specializes in medical imaging and molecular diagnostics, focusing on the integration of radiomics, artificial intelligence, and genomic biomarkers to improve noninvasive cancer detection and characterization. The lab investigates quantitative imaging features for predicting molecular markers such as PD-L1 and BRAFV600E mutations, while also exploring genetic alterations like 6q deletions in lymphomas. A key emphasis is placed on enhancing medical AI through advanced image augmentation techniques, such as GANs, to address data scarcity and improve diagnostic accuracy. The lab also examines the structural and functional properties of starches, linking molecular composition to resistant starch formation.
Professor Kichang Han's research lab specializes in interventional radiology and image-guided therapies for liver and gynecological malignancies. The lab focuses on optimizing treatment strategies for hepatocellular carcinoma (HCC), particularly through transarterial chemoembolization (TACE) and radiofrequency ablation (RFA), with an emphasis on improving outcomes in advanced or challenging cases such as those with portal vein tumor thrombosis. The lab also investigates novel embolic agents and minimally invasive interventions for conditions like ovarian endometriomas and uterine fibroids, integrating clinical outcomes with biomarkers and imaging follow-up.
Professor Ki-Bae Hong's research lab focuses on the biological and physiological effects of prebiotics, probiotics, and functional herbal extracts, particularly in promoting skin and gut health. The lab investigates how compounds such as galacto-oligosaccharide (GOS) and Dendrobium officinale modulate microbiota balance, enhance barrier function, and exert antioxidant and photoprotective effects. Key research directions include the modulation of skin and intestinal microbiota, prevention of photoaging and constipation, and the enhancement of physiological functions through dietary supplementation. The lab integrates preclinical animal models with clinical trials to translate findings into practical health applications.
Professor Ji-Hwan Kim's research lab specializes in advanced materials and mechanical systems with a focus on structural performance, precision manufacturing, and intelligent sensing technologies. The lab investigates fiber-reinforced cementitious composites under complex loading conditions, explores high-accuracy digital and 3D-printed dental models for clinical applications, and develops robust estimation algorithms for vehicle dynamics—particularly road bank angle detection using low-cost sensors. The research integrates experimental mechanics, materials characterization, and control theory to solve real-world engineering challenges with enhanced reliability and efficiency.
Professor Dinh Loc Duong's research lab specializes in the theoretical and experimental investigation of two-dimensional van der Waals materials, with a focus on emergent quantum phenomena, electronic and magnetic properties, and phase transitions in 2D heterostructures. The lab explores defect engineering, doping-induced ferromagnetism, charge density wave transitions, and electron-induced structural transformations in transition metal dichalcogenides and related 2D semiconductors. By combining first-principles calculations with advanced characterization techniques such as Raman spectroscopy and transmission electron microscopy, the lab aims to design and understand novel spintronic and quantum devices at the atomic scale.
Professor Cheol Oh's research lab specializes in intelligent transportation systems, with a focus on enhancing traffic safety and efficiency through advanced data-driven methodologies. The lab investigates real-time risk assessment, vehicle behavior in mixed traffic environments (including automated and manual vehicles), and the development of innovative warning and surveillance systems using trajectory data and machine learning. Key research directions include real-time safety monitoring, signalized intersection performance evaluation, and the application of probabilistic models such as Bayesian networks and probabilistic neural networks to improve transportation decision-making.
Professor Jae-Young Um's research lab specializes in molecular and translational studies focused on natural products and their therapeutic applications in metabolic and inflammatory diseases. The lab investigates the molecular mechanisms of bioactive compounds from traditional medicinal plants—such as ginseng, vanillic acid, Oldenlandia diffusa, and related phytochemicals—in modulating obesity, insulin resistance, and chronic inflammation. Key research directions include identifying genetic markers linked to obesity, elucidating the role of proinflammatory cytokines like IL-1α, and exploring the epigenetic and signaling pathways (e.g., AMPK, PPARγ, COX-2) involved in metabolic and immune regulation. The lab integrates molecular biology, genetics, and preclinical models to validate the therapeutic potential of natural compounds.
Professor Hyunbo Shim's research lab specializes in the development of next-generation therapeutic antibodies through innovative antibody engineering and in vitro discovery technologies. The lab focuses on designing novel antibody formats—such as bispecific antibodies and antibody–drug conjugates—by leveraging synthetic and semi-synthetic antibody libraries with controlled diversity in complementarity-determining regions (CDRs). Key research directions include humanization of murine antibodies, affinity maturation, and the application of phage display technologies to identify high-affinity, functionally optimized therapeutic candidates for cancer and immune-related diseases.
Professor Woo Chang Kim's research lab specializes in the intersection of financial econometrics, artificial intelligence, and data science, focusing on enhancing financial literacy, modeling politically influenced stock dynamics, and improving portfolio evaluation through advanced statistical and machine learning techniques. The lab develops explainable AI (xAI) frameworks to interpret complex financial models, particularly in the context of South Korea’s financial markets and pension systems. It also applies network analysis and graph embeddings to predict ETF price movements and uncover hidden market structures. A key emphasis is on creating interpretable, data-driven solutions that align with real-world regulatory and institutional frameworks.
Professor Eunhee Cho's research lab focuses on improving healthcare outcomes through nursing workforce optimization and patient-centered interventions. Her work spans nursing work environment assessment, nurse staffing strategies, and self-management programs for patients with chronic conditions such as spinal cord injury. The lab also investigates pharmacological treatments for rare endocrine disorders, such as invasive giant prolactinomas, highlighting a multidisciplinary approach to clinical care and health system improvement. Key research directions include enhancing nursing practice environments and promoting patient self-efficacy in chronic disease management.
Professor Sang Chul Chong's research lab specializes in visual perception, with a focus on how the human visual system processes and represents complex visual information. The lab investigates core mechanisms such as ensemble perception—where the visual system summarizes groups of similar objects into statistical representations like mean size or numerosity—and how attention modulates these processes. Key research directions include the interplay between selective attention and perceptual grouping, the role of spatial clustering in improving ensemble representation, and the neural and cognitive underpinnings of number sense and visual statistics. The lab combines behavioral experiments with innovative task designs to uncover how attention and perceptual organization shape our perception of visual ensembles and quantities.
