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 Dae-Hyun Hahm's research lab focuses on the neurobiological and immunomodulatory mechanisms underlying stress-related and metabolic disorders, with a particular emphasis on the gut-brain-skin axis, neurodegenerative cognitive impairment, and autoimmune skin conditions. The lab investigates the therapeutic potential of natural compounds—such as fucoidan and wild ginseng—and non-pharmacological interventions like acupuncture in modulating neuroendocrine, immune, and lipid metabolism pathways. Current research explores how psychological stress, gut microbiota, and neuroactive peptides contribute to the pathogenesis of diseases including atopic dermatitis, alopecia areata, and cognitive dysfunction.
Professor Md. Shirajum Munir's research lab specializes in smart energy systems and intelligent networking for future wireless and power networks. The lab focuses on integrating microgrids, distributed generation, and edge computing to enhance energy efficiency and power quality in residential and IoT-enabled environments. Key research directions include risk-aware energy scheduling, harmonic mitigation using renewable-based inverters, and explainable AI-driven network management for 6G and the Internet of Everything (IoE).
Professor Jee Eun Sung's research lab focuses on the intersection of language processing, cognitive aging, and neurocognitive disorders, particularly in older adults and individuals with aphasia or mild cognitive impairment. The lab investigates how working memory capacity and syntactic complexity—especially in structures like passive sentences—affect sentence comprehension and production across the lifespan. A central theme is understanding how cognitive resources serve as a buffer against age-related and pathology-related language decline.
Professor Van Thinh Nguyen's research lab specializes in computational fluid dynamics (CFD), environmental modeling, and fractional calculus applications, with a strong focus on fluid flow simulation, pollutant dispersion in urban environments, and water resource management under climate and land-use change. The lab employs advanced numerical methods such as OpenFOAM-based RANS and LES simulations, develops innovative mathematical techniques for solving fractional differential equations, and applies integrated hydrological models like SWAT and WEAP to assess water availability and quality. Their work bridges mathematical modeling, environmental sustainability, and engineering applications to address real-world challenges in urban air quality and watershed management.
Professor Eunyoung E. Suh's research lab focuses on advancing culturally competent healthcare practices, particularly within diverse immigrant populations such as Korean and Asian immigrants in Western societies. The lab investigates sociocultural influences on health behaviors, including breast cancer screening, and develops culturally sensitive research methodologies for qualitative nursing research. It also explores health education innovations, such as mobile applications for nursing student training, to enhance clinical competence and workplace well-being. The lab integrates cultural competence into both research design and clinical practice to improve health outcomes and equity.
Professor Han Gyu Joo's research lab specializes in advanced reactor physics and computational nuclear engineering, focusing on high-fidelity whole-core transport calculations, efficient numerical methods for neutron transport and kinetics, and innovative acceleration techniques for reactor simulation. The lab develops state-of-the-art deterministic codes such as DeCART and nTRACER, emphasizing direct whole-core calculations without reliance on pre-homogenized cross sections, while advancing methods like the method of characteristics (MOC), coarse mesh finite difference (CMFD), and resonance treatment with spectral superhomogenization. Key research directions include dynamic homogenization, subpin-level thermal feedback, and parallel computing for large-scale reactor simulations, with strong validation against Monte Carlo benchmarks and experimental data.
Professor Johannes Gierschner's research lab specializes in the photophysics and structure–property relationships of π-conjugated organic semiconductors, with a focus on small molecules and conjugated polymers. The lab investigates how molecular structure, intermolecular interactions, and solid-state packing influence optical and excited-state properties, particularly fluorescence behavior in crystalline and aggregated phases. Key research directions include exciton dynamics, aggregation effects, and the design of emissive materials with tailored optical responses for optoelectronic and bioimaging applications.
Professor Chanhee Kang's research lab focuses on the intricate molecular mechanisms linking autophagy and cellular senescence—two fundamental stress response pathways critical for maintaining cellular and organismal homeostasis. The lab investigates how selective and general autophagy regulate senescence and the senescence-associated secretory phenotype (SASP), with a particular emphasis on key transcriptional regulators such as GATA4 and their interplay with tumor suppressors like p53 and p16(INK4a). By exploring the dual roles of autophagy in promoting both cell survival and cell death, the lab aims to resolve paradoxes in autophagic function and uncover its context-dependent roles in aging, cancer, and age-related diseases. Their work integrates molecular cell biology, systems biology, and in vivo models to elucidate how these pathways influence tissue homeostasis and organismal aging.
Professor Chang-Hun Lee's research lab specializes in advanced guidance and control systems for aerospace and defense applications, with a strong focus on optimal and nonlinear guidance laws. The lab develops innovative guidance strategies that incorporate terminal constraints such as impact angle, impact time, seeker field-of-view limitations, and acceleration/actuator command bounds. Research also extends to the integration of social capital and behavioral factors in supply chain information sharing, reflecting a multidisciplinary approach combining engineering with social science. The lab emphasizes theoretical analysis, closed-form solutions, and numerical validation to ensure practical applicability in real-world systems.
Professor Hyunwook Park's research lab specializes in advanced computational and machine learning-driven design methodologies for electronic and photonic systems, with a strong focus on power integrity and energy efficiency. The lab develops innovative solutions in power distribution network (PDN) optimization, particularly through deep reinforcement learning and transformer-based algorithms for optimal decoupling capacitor (decap) placement in 2.5D/3D ICs and high-bandwidth memory systems. Additionally, the lab explores fundamental physical phenomena in nanoscale systems, such as high-harmonic generation in rare-gas clusters and superhydrophobic surface effects on turbulent flow drag reduction. The integration of AI-driven design with physical modeling defines the lab’s interdisciplinary approach to next-generation electronic packaging and nanophotonics.
Professor Saeam Shin's research lab specializes in molecular diagnostics and genomic medicine, focusing on advancing precision diagnostics through next-generation sequencing (NGS) and cell-free DNA (cfDNA) analysis. The lab investigates the role of the gut microbiome in pediatric metabolic disorders, particularly obesity, and develops standardized pre-analytical protocols for reliable liquid biopsy testing. Key research directions include optimizing bioinformatics pipelines for BRCA1/2 and other cancer gene sequencing, improving diagnostic yield in neurodevelopmental disorders via chromosomal microarray (CMA) and CNV detection tools like CABANA, and enhancing rapid, accurate detection of pathogens such as *Clostridium difficile* using molecular diagnostics.
Professor Kyong-Mee Chung's research lab specializes in mental health technology and behavioral intervention, focusing on developing digital tools—such as mobile apps and digital phenotyping systems—for early detection and management of depression, anxiety, and related psychological conditions. The lab integrates clinical psychology with mobile health (mHealth) technologies, leveraging smartphone-based data collection and cognitive behavioral therapy (CBT) interventions to support vulnerable populations, including cancer patients and adolescents. A key focus is on creating validated, culturally adapted assessment tools and databases, such as the Yonsei Face Database and the Korean-Parental Overprotection Scale, to support psychological research and clinical applications.
Professor Goangseup Zi's research lab specializes in computational mechanics and fracture mechanics, focusing on advanced numerical methods for modeling crack propagation and failure in engineering materials. The lab develops meshfree and extended finite element methods (XFEM) that enable accurate simulation of arbitrary crack paths, crack coalescence, and junctions without remeshing, even in complex, heterogeneous, or quasibrittle materials. Key research directions include the development of robust enrichment functions for crack tips and discontinuities, level set-based crack description, and stable algorithms for competitive crack growth under plane strain or plane stress conditions. The lab applies its methods to both static and dynamic problems in linear elastic and inhomogeneous media.
Professor Jong-Hoon Kim's research lab focuses on regenerative medicine and cellular differentiation, particularly in neural lineage commitment from human embryonic stem cells. The lab investigates the role of extracellular matrix proteins, such as vitronectin, in enhancing oligodendrocyte differentiation, with implications for treating neurodegenerative diseases. Additionally, the lab develops advanced fluorescent probes for real-time detection of biologically relevant molecules like cysteine in live cells and tissues, supporting cancer research and diagnostics. The integration of stem cell biology with molecular imaging defines the lab’s interdisciplinary approach.
Professor Hyunmi Baek's research lab specializes in digital consumer behavior, with a focus on online reviews, social media impact, and cross-cultural media consumption. The lab investigates how user-generated content on e-commerce and social media platforms influences consumer decision-making, particularly through sentiment analysis, review helpfulness, and network dynamics. It also explores the role of cultural factors and policy changes in shaping online discourse and content consumption patterns across global platforms. The research integrates computational methods such as machine learning, social network analysis, and econometric modeling to analyze large-scale digital data from sources like Amazon, Twitter, and streaming platforms.
Professor Jongcheol Seo's research lab specializes in the structural characterization of biomolecules and functional organic systems in the gas phase, with a focus on understanding conformational dynamics, protonation behavior, and non-covalent interactions. The lab employs advanced techniques such as ion mobility spectrometry, infrared spectroscopy, and ab initio molecular dynamics to probe protein folding, peptide clusters, and supramolecular architectures. Key research directions include the structural conservation of proteins in the gas phase, the design of redox-active molecules for sustainable energy storage, and the formation of complex nanostructures from amphiphilic porphyrins and entangled proteins. The lab also explores topological protein architectures, such as lasso proteins and rotaxanes, using genetically encoded strategies for novel functional materials.
Professor Won Park's research lab specializes in medical imaging and oncology, focusing on improving the accuracy of cancer staging and treatment response prediction in gynecological and gastrointestinal malignancies. The lab investigates the clinical utility of advanced imaging modalities such as PET/CT and MRI in assessing tumor extension and lymph node involvement, particularly in cervical and rectal cancers. A key research direction involves identifying and validating hematologic biomarkers—such as neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR)—as non-invasive predictors of treatment response and prognosis in patients undergoing neoadjuvant therapy. The lab aims to integrate imaging and systemic biomarkers to enhance personalized cancer management and guide clinical decision-making.
Professor Dae-Hee Lee's research lab specializes in orthopedic biomechanics and knee joint health, with a primary focus on meniscal injuries, osteoarthritis progression, and the functional implications of meniscal extrusion. The lab investigates the structural and biomechanical factors influencing meniscal repair outcomes, particularly in the context of radial tear components and osteoarthritis severity. Clinical and radiological outcomes following arthroscopic procedures such as meniscal allograft transplantation (MAT) are also a key research direction, with emphasis on long-term joint space width and patient-reported outcomes. Additionally, the lab explores sensorimotor deficits in ACL-injured knees, particularly proprioceptive impairments affecting joint position and movement sense.
Professor Hak-Sung Kim's research lab specializes in atmospheric aerosol science and nuclear materials engineering, focusing on the characterization and modeling of airborne particulate matter across East Asia and the development of advanced neutron irradiation techniques for semiconductor materials. The lab investigates the optical and microphysical properties of aerosols using satellite remote sensing data (e.g., MODIS) to understand regional pollution transport, sources, and climatic impacts, particularly during seasonal events like dust storms and monsoon-related haze. In parallel, the lab conducts computational simulations using Monte Carlo methods (e.g., MCNP) to optimize neutron transmutation doping processes in silicon crystals for high-performance semiconductor applications.
Professor Eiseul Kim's research lab specializes in food microbiology and microbial diagnostics, with a focus on the accurate identification, characterization, and monitoring of beneficial and pathogenic bacteria in food and agricultural environments. The lab develops advanced molecular and mass spectrometry-based methods for rapid and precise detection of probiotic and pathogenic lactic acid bacteria, staphylococci, and enterococci, while also investigating antimicrobial resistance genes in food-producing animals. Their work bridges food safety, probiotic development, and One Health by integrating genomics, bioinformatics, and analytical technologies.
