世界の主要大学の研究室を探索 — 研究分野と主要論文を一目で確認できます。
Professor Ji Soo Park's research lab focuses on translational biomedical research with a strong emphasis on respiratory diseases, genetic susceptibility in cancer, and pediatric health outcomes. The lab investigates the molecular mechanisms of environmental toxicants on lung epithelial cells, particularly polyhexamethylene guanidine phosphate (PHMG-p), and explores genetic variants associated with hereditary cancers using multigene panel sequencing. Additionally, the lab applies machine learning and health data analytics to improve pediatric respiratory disease diagnosis and evaluate medication safety in children and adolescents.
Professor Sung-Hwan Han's research lab specializes in orthopedic regenerative medicine, with a primary focus on cartilage and tendon repair using biological and tissue engineering approaches. The lab investigates the use of mesenchymal stem cells, growth factors like TGF-β3, and biodegradable scaffolds such as PLGA for osteochondral defect regeneration. It also explores the biological effects of extracorporeal shock wave therapy on tendon tissue, aiming to modulate inflammatory responses and promote healing. Additionally, the lab conducts clinical and radiological studies to evaluate diagnostic accuracy and long-term outcomes in ankle pathologies, including syndesmotic injuries and subchondral cysts.
Professor Tak Kyu Oh's research lab specializes in critical care medicine and oncological anesthesia, with a strong focus on identifying prognostic biomarkers and optimizing surgical outcomes in critically ill and cancer patients. The lab investigates the role of systemic inflammatory markers—particularly the CRP/albumin ratio—in predicting short- and long-term mortality in ICU and postoperative populations. It also explores the impact of anesthetic techniques, such as propofol-based total intravenous anesthesia (TIVA), on cancer recurrence and survival, especially in non-small cell lung and gastric cancers. Additionally, the lab examines the influence of socioeconomic factors and comorbidities, including chronic respiratory diseases, on the risk and outcomes of infectious diseases like COVID-19 in the Korean population.
Professor Cheol Min Lee's research lab focuses on the fundamental characterization of solid acid catalysts, particularly zeolites, using calorimetric techniques to understand structure-acidity relationships. The lab investigates the adsorption behavior and proton affinity correlations of basic molecules on zeolitic frameworks, contributing to the development of quantitative acidity scales. Additionally, the lab explores the societal and behavioral impacts of emerging tobacco products, such as heated tobacco and e-cigarettes, in South Korea, examining their influence on smoking cessation and public health policy. The research bridges materials science and public health, emphasizing both molecular-level insights and real-world behavioral trends.
Professor Syngjoo Choi's research lab focuses on experimental and behavioral economics, with a strong emphasis on individual decision-making under uncertainty, networked markets, and the experimental evaluation of economic rationality. The lab investigates how people make choices in complex environments—using graphical methods, lab-in-the-field experiments, and network-based models—to understand risk preferences, utility maximization, and market efficiency. A key focus is on applying revealed preference theory to real-world interventions, such as education programs, to assess improvements in economic rationality. The lab also explores pricing dynamics and surplus distribution in interconnected systems, such as supply chains and financial networks.
Professor Chang-hee Lee's research lab specializes in abdominal and musculoskeletal radiology, with a strong focus on advanced MRI techniques for non-invasive diagnosis and characterization of liver diseases, including non-alcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC). The lab develops multiparametric MRI biomarkers—such as diffusion-weighted imaging, perfusion parameters, and hepatobiliary phase imaging—to improve diagnostic accuracy and predict treatment response. A key research direction involves understanding the role of immune modulation, particularly through TAM receptor tyrosine kinases in macrophage function, linking radiological findings with underlying immunological mechanisms. The lab also investigates anatomical landmarks and morphological features for improved spinal and vascular imaging interpretation.
Professor Cheolwoo Park's research lab specializes in interdisciplinary studies spanning fluid dynamics, statistical signal analysis, and bioactive natural products. The lab investigates complex flow structures in atmospheric boundary layers and time series analysis using advanced statistical tools like SiZer for dependent data, particularly in Internet traffic and long-range dependent processes. It also explores the protective effects of natural compounds—such as malonic acid from *Pinus densiflora*—against UVB-induced skin damage, focusing on antioxidant and anti-inflammatory mechanisms in human cells. The lab integrates experimental, computational, and biological approaches to address challenges in environmental fluid mechanics, data science, and dermatological biotechnology.
Professor Young Shin Song's research lab focuses on the molecular mechanisms underlying thyroid carcinogenesis, with a particular emphasis on the roles of key genetic drivers such as BRAF, RAS, and TERT promoter mutations in differentiated and poorly differentiated thyroid cancers. The lab investigates the synergistic effects of these mutations on tumor progression and clinical outcomes, integrating genomics, transcriptomics, and tumor microenvironment analysis. They also explore the impact of hormonal signaling, such as thyroid-stimulating hormone (TSH), on tumor microenvironments, especially in aggressive thyroid cancer subtypes. Their work bridges basic molecular insights with clinical translation to improve risk stratification and therapeutic strategies.
Professor Hwan-Mo Ye's research lab specializes in wood science and materials engineering, focusing on sustainable wood processing and advanced characterization techniques. Key research directions include the development of non-destructive analysis methods using near-infrared spectroscopy and image analysis for wood quality assessment, thermal treatment processes such as superheated steam and carbonization to enhance wood durability and mechanical properties, and the application of machine learning and deep learning models for wood species identification and defect classification. The lab also investigates the effects of drying and heat treatment on dimensional stability, moisture dynamics, and mechanical behavior in various wood species.
Professor Hyung Joo Lee's research lab specializes in environmental health and atmospheric science, focusing on improving air pollution exposure assessment through advanced satellite remote sensing and statistical modeling. The lab develops high-resolution spatiotemporal models to estimate ground-level PM₂.₅ and NO₂ concentrations by integrating satellite-derived aerosol optical depth (AOD) with land use regression, meteorological data, and ground monitoring. A key research direction involves reducing exposure measurement error in epidemiological studies by leveraging machine learning and mixed-effects models to account for temporal and spatial variability in aerosol-atmosphere relationships. The lab also investigates regional aerosol characteristics, including size distribution and radiative properties, using ground-based AERONET observations and satellite data in East Asia and the U.S.
Professor UngGu Kang's research lab focuses on neuropsychiatry and neuropharmacology, with a primary emphasis on the molecular mechanisms of atypical antipsychotics like clozapine, particularly their effects on key signaling pathways such as PI3K/Akt/GSK-3β and Wnt/β-catenin. The lab also investigates neurobiological underpinnings of behavioral disorders, including Internet gaming disorder and addiction-related behaviors, using electrophysiological and neuroimaging techniques. Additionally, the lab applies machine learning to clinical data for early prediction of critical complications such as acute kidney injury in cancer patients, highlighting a translational approach integrating neuroscience, psychiatry, and data science. Recent work also explores the psychological and behavioral impacts of global crises, such as the COVID-19 pandemic, on substance use and addictive behaviors.
Professor Hong Beom Kim's research lab specializes in pancreatic and biliary tract malignancies, with a focus on improving diagnostic accuracy, surgical outcomes, and prognostic prediction in pancreatic ductal adenocarcinoma, intraductal papillary mucinous neoplasms (IPMN), and ampullary cancer. The lab emphasizes the development of multi-biomarker diagnostic algorithms, optimization of surgical techniques such as radical antegrade modular pancreatosplenectomy (RAMPS), and the evaluation of oncological outcomes based on pathological features and surgical margins. Their work integrates clinical oncology, surgical innovation, and translational biomarker research to enhance patient survival and treatment personalization.
Professor Jihwan An's research lab specializes in advanced materials and nanoengineering for sustainable energy conversion and storage, with a primary focus on low-temperature solid oxide fuel cells (LT-SOFCs). The lab pioneers innovative thin-film architectures, atomic layer deposition (ALD)-based catalysts, and grain boundary engineering to enhance electrochemical performance, reduce noble metal usage, and improve thermal stability. Key research directions include nanostructured electrolytes, functional oxide interfaces, and atomic-scale defect characterization for next-generation energy devices.
Professor Taehwan Kim's research lab specializes in nanoscale electronic and electromagnetic phenomena, focusing on advanced materials for multifunctional applications. The lab investigates electron transport and defect dynamics in low-dimensional systems, including charge-density wave materials and copper nanowires, with an emphasis on understanding quantum transport mechanisms at the atomic scale. Using cutting-edge instrumentation such as low-temperature four-probe scanning tunneling microscopy and in situ electron microscopy, the lab explores phase competition, topological defects, and stress-induced transitions in correlated electron systems. Recent work also extends into applied nanosystems, such as multispectral camouflage via hierarchical metamaterials and health-monitoring technologies using force-sensing arrays.
Professor Jae-kyun Kim's research lab specializes in orthopedic surgery and sports medicine, with a primary focus on anterior cruciate ligament (ACL) reconstruction techniques and their biomechanical and clinical outcomes. The lab investigates anatomical graft placement, femoral tunnel geometry, and surgical approaches—such as transportal and outside-in techniques—using advanced 3D CT imaging and OsiriX software for precise evaluation. Research also extends to postoperative complications, including knee osteoarthritis development and the management of periprosthetic joint infections via infection-directed conservative treatment. The lab emphasizes evidence-based surgical optimization to improve long-term joint health and function.
Professor Dongkun Shin's research lab specializes in low-power embedded systems and energy-efficient computing, with a strong focus on dynamic voltage scaling (DVS) and power management techniques for real-time and multiprocessor systems. The lab develops advanced algorithms for intra-task voltage scheduling, network-on-chip (NoC) energy optimization, and power-aware task scheduling in heterogeneous and conditional task environments. Their work bridges software and hardware co-design, enabling significant energy reduction in applications such as multimedia processing and real-time systems. The lab also emphasizes automated tool development to transform conventional programs into low-energy equivalents without altering functionality.
Professor Hyun Jung Shin's research lab specializes in biomedical machine learning, with a focus on developing advanced algorithms for healthcare data analysis. The lab's main research directions include semi-supervised learning for medical applications, such as cancer prognosis and polypharmacy side effect prediction, and optimizing machine learning models like support vector machines for large-scale biomedical datasets. Their work emphasizes practical, efficient, and accurate solutions tailored to real-world clinical data challenges.
Professor Minjong Lee's research lab focuses on the intersection of cancer metabolism, liver disease pathogenesis, and translational therapeutics. The lab investigates metabolic reprogramming in hepatocellular carcinoma, particularly the Warburg effect and its paradoxical roles in tumor progression, as well as the tumor microenvironment's metabolic crosstalk. A key direction involves evaluating repurposed drugs—such as aspirin, clopidogrel, metformin, and dichloroacetate—for their chemopreventive and therapeutic potential in liver diseases, including hepatocellular carcinoma and acute-on-chronic liver failure. The lab also explores novel biomarkers and scoring systems for improved prognosis and risk stratification in liver disease.
Professor Hyo-Gyoung Kwak's research lab specializes in nondestructive evaluation and mechanical behavior of cement-based materials, with a focus on ultrasonic testing and fresh mortar consolidation. The lab investigates wave propagation and attenuation in concrete for structural health monitoring, emphasizing accurate, non-invasive assessment techniques. It also explores the influence of material composition, reinforcement geometry, and fresh-state properties on plastic settlement and early-age behavior in mortar and concrete.
Professor Myung-Hwan Lee's research lab specializes in advanced materials and devices for optical communications and biomedical applications. The lab focuses on developing low-loss polymer-based waveguides, plasmonic waveguides, and quantum dot nanocomposites for high-speed optical interconnects and integrated photonic circuits. In parallel, the lab investigates bioactive materials and conditioned media from stem cells to modulate fibroblast behavior and enhance tissue regeneration. The integration of nanomaterials, polymers, and biological signaling molecules defines the lab’s interdisciplinary approach.
