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 Sanghee Oh's research lab specializes in understanding user motivations, information quality, and source evaluation in online social information environments, particularly within social Q&A platforms and academic social networking sites. The lab investigates how individuals share knowledge, select reliable answers, and perceive the credibility of online health information, with a strong focus on user behavior, trust, and relevance criteria. Research directions include information sharing motivations, quality assessment of online answers, and the role of source citation in user-generated content. The lab integrates theories from information behavior, human-computer interaction, and social media studies to explore how people engage with and evaluate information in digital spaces.
Professor Wonjun Choi's research lab specializes in nanophotonics, optical wave transport in disordered media, and integrated photonic-electronic systems. The lab investigates fundamental light-matter interactions, including eigenchannels in Anderson-localized systems, enhanced light extraction in LEDs, and plasmonic switching for on-chip optical interconnects. A key focus is developing novel imaging and sensing platforms—such as flexible, lensless fiber endoscopes and holographic imaging systems—enabling high-resolution, label-free biomedical diagnostics. The lab combines advanced numerical simulations (e.g., FDTD) with experimental validation to bridge theoretical insights with practical photonic technologies.
Professor Tae-Jin Song's research lab focuses on translational and clinical biomedical research, with a strong emphasis on molecular mechanisms in cancer, neuromuscular disorders, and endocrine-related neurological conditions. The lab investigates cell adhesion molecules in hepatocellular carcinoma, explores clinical and genetic features of rare neuromuscular diseases such as dystrophinopathies in females, and examines the role of thyroid dysfunction in seizure disorders. The lab integrates molecular biology, clinical pathology, and patient-based studies to improve diagnostic accuracy and therapeutic outcomes.
Professor In Hwan Jang's research lab focuses on innate immunity and vascular biology, with a particular emphasis on the molecular mechanisms underlying immune recognition, inflammation, and vascular remodeling. The lab investigates pattern recognition receptors, transcriptional regulation in immune responses, and the roles of epigenetic modifications—such as DNA methylation—in endothelial dysfunction and diseases like atherosclerosis and abdominal aortic aneurysm. Additionally, the lab explores the regulatory functions of cytokines like IL-7 and microRNAs in immune homeostasis and cancer progression, integrating genetic, molecular, and translational approaches in model systems including Drosophila and murine models.
Professor Jae Woong Shim's research lab specializes in computer architecture and hardware acceleration for emerging workloads, with a focus on optimizing deep learning and graph computing workloads through custom hardware designs. The lab explores high-performance and energy-efficient accelerators using FPGAs, ASICs, and emerging memory technologies such as Hybrid Memory Cube (HMC), targeting applications in neural networks, data analytics, and in-memory processing. Key research directions include algorithm-hardware co-design, performance modeling, and system-level optimization for next-generation accelerators.
Professor Jisoo Park's research lab specializes in systems biology and computational biology, focusing on deciphering the molecular mechanisms of viral infections and cancer through integrative analysis of protein-protein interaction networks. The lab develops advanced computational methods—such as diffusion state distance (DSD) and its extensions—to model functional relationships in biological networks with high resolution, incorporating network topology, confidence scores, and pathway information. A central theme is the identification of host factors and cancer-specific protein systems under mutational selection, enabling mechanistic insights into diseases like COVID-19 and breast cancer. The lab also bridges biological discovery with design innovation through technology biographies that inform human-centered technology development.
Professor Sung Min Kim's research lab specializes in advanced functional materials and devices for next-generation electronics, energy, and biomedical applications. The lab focuses on developing 2D heterostructures, nanomaterials, and hybrid systems for high-performance sensors, energy conversion, and flexible or transparent electronics. Key research directions include transparent and ultrathin gas sensors based on 2D electron gas, bifunctional electrocatalysts for water splitting, and 3D tissue engineering using cell sheet technology. The lab also explores novel imaging and display technologies for extended reality (XR) systems, integrating smart materials and nanofabrication techniques.
Professor Beom-Soo Kim's research lab specializes in epidemiological and clinical studies focusing on metabolic and cardiovascular risk factors in the general population. The lab investigates the role of biomarkers such as uric acid, thyroid function, and nicotine metabolites in predicting metabolic syndrome, hypertension, and subclinical organ damage. A key emphasis is placed on using objective biological verification (e.g., urinary cotinine) to improve the accuracy of exposure assessment in lifestyle and environmental risk factor studies. The lab also explores the interplay between smoking, secondhand smoke, and chronic disease risk in large-scale cohort populations.
Professor Inseok Moon's research lab specializes in otorhinolaryngology, with a focus on sensorineural hearing disorders, particularly idiopathic sudden sensorineural hearing loss (ISSNHL) and noise-induced hearing loss. The lab investigates prognostic biomarkers such as neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), explores minimally invasive surgical techniques like inlay butterfly cartilage tympanoplasty, and evaluates treatment outcomes for vestibular schwannomas in relation to mobile phone use. The lab emphasizes clinical outcomes, quality of life, and evidence-based interventions in otology and neurotology.
Professor Youngseop Eom's research lab specializes in ophthalmic biometrics and refractive surgery, with a strong focus on optimizing intraocular lens (IOL) power calculation for cataract and phakic IOL implantation. The lab investigates corneal biomechanics, meibomian gland dysfunction (MGD), and post-surgical visual disturbances such as dysphotopsia, integrating clinical studies with advanced optical modeling. Key research directions include improving surgical outcomes through personalized IOL formula selection, understanding systemic factors in retinal diseases like central serous chorioretinopathy, and evaluating non-invasive interventions such as eyelid hygiene for postoperative ocular surface health. The lab combines clinical ophthalmology with quantitative biometric analysis to enhance precision in refractive and cataract surgery.
Professor Young-Hee Park's research lab specializes in cybersecurity and intelligent systems, focusing on malware detection, behavior analysis, and deception-based defense mechanisms. The lab develops advanced techniques for classifying and identifying malicious software using graph-based modeling of system behavior, while also exploring the use of decoy systems to detect insider threats. Additionally, the lab investigates the detection of fraudulent online reviews through social interaction analysis, highlighting its interdisciplinary approach to digital trust and security. The research emphasizes scalable, real-time solutions for emerging cyber threats in dynamic environments such as UAV networks and cloud systems.
Professor Young-Jin Ko's research lab specializes in text mining, information retrieval, and natural language processing, with a strong focus on automatic text categorization and cross-language information retrieval. The lab develops innovative methods that leverage unsupervised and semi-supervised learning techniques to reduce reliance on costly labeled data, emphasizing feature weighting, sentence importance, and bootstrapping frameworks. A key research direction involves constructing and utilizing multilingual resources—such as bilingual dictionaries and parallel corpora—from large-scale sources like Wikipedia to enhance cross-lingual text processing. The lab also explores efficient term-weighting schemes tailored specifically for text categorization, distinguishing it from traditional information retrieval approaches.
Professor Chihyun Lim's research lab specializes in data-driven innovation in smart urban systems, service science, and Industry 4.0. The lab focuses on leveraging big data, text mining, and machine learning to understand and advance smart service systems, urban digital transformation, and intelligent industrial systems. Key research directions include data-based value creation in information-intensive services, smart city development, and the systemic challenges of implementing smart technologies in real-world contexts.
Professor Sung Ho Park's research lab specializes in the intersection of clinical neuroscience, medical informatics, and health technology innovation. The lab focuses on advancing stroke and cerebrovascular disease management through machine learning-driven prediction models, wearable device applications for Parkinson’s disease monitoring, and the development of automated systems for clinical outcome prediction using multimodal data. Additionally, the lab explores legal and ethical dimensions of intellectual property in healthcare and technology, particularly concerning data privacy, innovation protection, and the role of civil liability in safeguarding intellectual assets.
Professor Du Hyun Ro's research lab specializes in orthopedic biomechanics and clinical prediction modeling, focusing on improving outcomes in joint arthroplasty and osteoarthritis. The lab integrates machine learning and big data analytics to develop predictive models for postoperative complications such as blood transfusion, acute kidney injury, and implant revision. Key research directions include gait analysis to understand joint mechanics in knee osteoarthritis, sex-based biomechanical differences in aging populations, and the clinical impact of medications like bisphosphonates on implant longevity. The lab emphasizes translational research, translating biomechanical and clinical data into web-based decision support tools for surgeons and patients.
Professor Shin Kyu Jeong's research lab specializes in advanced optimization and data-driven design methodologies for complex engineering systems, particularly in aerospace and automotive applications. The lab focuses on developing surrogate modeling techniques—such as Kriging and response surface models—combined with metaheuristic algorithms (e.g., genetic algorithms and particle swarm optimization) to accelerate multi-objective design optimization. A key strength lies in integrating data mining methods like ANOVA and self-organizing maps (SOM) to extract actionable insights from high-dimensional design spaces, enabling efficient exploration and decision-making. The lab emphasizes robust, computationally efficient design frameworks that balance global exploration and local exploitation in real-world engineering problems.
Professor Dong Hoon Kim's research lab focuses on the intersection of vascular biology, cancer microenvironment, and clinical biomarkers in oncology and neurodegenerative diseases. The lab investigates cerebrovascular reactivity and its role in cognitive decline, explores the tumor-promoting functions of cancer-associated fibroblasts in lung and gastric cancers, and examines systemic inflammatory markers such as neutrophil-to-lymphocyte ratio and TNFRSF12A as prognostic indicators in cancer. The lab integrates clinical data with molecular and imaging analyses to identify novel therapeutic targets and predictive biomarkers.
Professor Jong Hoon Choi's research lab focuses on bioactive natural products and their mechanisms in inflammation, microbial modulation, and antimicrobial activity. The lab investigates the therapeutic potential of herbal extracts—such as licorice and garlic—using preclinical disease models, including arthritis and yeast infections. It also explores the impact of antibiotics on gut microbiota in poultry, aiming to develop safer alternatives to antibiotic growth promoters. The research integrates biochemical, molecular, and microbiological approaches to understand host-microbe interactions and natural compound functionality.
Professor Won Yong Lee's research lab focuses on neurodegenerative disorders, particularly Parkinson’s disease and spinocerebellar ataxias, with an emphasis on developing non-invasive diagnostic tools such as transcranial sonography and MIBG scintigraphy. The lab also investigates the molecular mechanisms of ion channel function, especially the nicotinic acetylcholine receptor, and explores the therapeutic potential of natural compounds like morin in cancer cell apoptosis. A key theme across projects is the translation of basic biological insights into clinical applications for early diagnosis and targeted therapy.
Professor Sung Yeon Hwang's research lab specializes in critical care medicine and emergency medicine, with a primary focus on improving outcomes in sepsis and acute respiratory failure. The lab investigates hemodynamic phenotypes in septic shock, including cryptic and overt shock, and evaluates novel biomarkers such as the lactate/albumin ratio for predicting mortality. It also explores the impact of early adjunctive therapies—like vitamin C and thiamine—on ICU delirium and survival. Additionally, the lab conducts research on airway management, particularly endotracheal intubation techniques and first-pass success during cardiopulmonary resuscitation in the emergency department.
