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 Mujeen Sung's research lab specializes in biomedical natural language processing, with a focus on advancing named entity recognition (NER) and normalization (NEN) in scientific literature. The lab develops deep learning-based tools such as BERN and BERN2 to improve the accuracy and efficiency of extracting and linking biomedical entities like diseases, drugs, and genes from vast biomedical texts. Their work emphasizes multi-task learning, retrieval-augmented generation, and handling complex challenges such as overlapping entities and incomplete synonym sets. The lab also explores the impact of collaboration dynamics on scientific innovation, particularly during global health crises like the COVID-19 pandemic.
Professor Eun-mi Cheon's research lab focuses on epidemiological and translational studies exploring the complex interplay between metabolic health, immune function, and chronic diseases. Key research directions include the impact of obesity and metabolic syndrome on tuberculosis risk, the long-term effects of low-dose aspirin on lung cancer prevention, and the immunological and psychiatric sequelae associated with COVID-19 infection and vaccination. The lab also investigates molecular mechanisms underlying immune cell differentiation, particularly involving apolipoprotein C-II in monocyte/macrophage development. These studies are primarily based on large-scale population-based cohort data from South Korea, emphasizing real-world health outcomes and public health implications.
Professor Hyun-Ho Park's research lab specializes in the development and validation of artificial intelligence-driven clinical decision support systems, particularly leveraging deep learning for early risk prediction in emergency and critical care settings. The lab focuses on creating interpretable AI models using real-world clinical data—such as ECG, emergency department records, and vital signs—to improve triage accuracy, predict critical outcomes like in-hospital cardiac arrest, and enable early screening for conditions like heart failure. Their work emphasizes practical implementation in real hospital environments, ensuring clinical relevance and performance superiority over conventional scoring systems. The lab also explores image enhancement techniques, such as super-resolution in CT imaging, to improve diagnostic reliability.
Professor Yongsin Kim's research lab specializes in clinical anesthesiology and perioperative medicine, with a strong focus on patient temperature regulation during surgery, particularly in elderly and high-risk populations. The lab investigates the efficacy of various warming strategies—such as forced-air warming and circulating water mattresses—to prevent hypothermia and post-anaesthesia shivering. Additional research explores the physiological and metabolic impacts of pharmacological agents, like salbutamol, in animal models, particularly in relation to fetal and postnatal development. The lab also examines respiratory and hemodynamic influences on intraocular pressure during anesthesia, especially under one-lung ventilation conditions.
Professor Inhan Song's research lab specializes in adolescent mental health and health disparities, with a focus on the psychosocial determinants of well-being in youth. The lab investigates critical issues such as youth suicide, social exclusion, digital technology use (e.g., mobile phone dependency), and the protective roles of social support, self-efficacy, and civic optimism. Research directions emphasize health promotion, resilience factors, and structural inequalities, particularly examining how family relationships, peer influences, and socioeconomic conditions shape adolescent mental health outcomes.
Professor Chan-Woo Wei's research lab specializes in radiation oncology, with a focus on improving radiotherapy techniques and outcomes in cancer patients. The lab investigates image-guided radiotherapy, target volume delineation variability, and the optimization of intensity-modulated and stereotactic radiotherapy for various malignancies, including rectal, nasopharyngeal, lung, and hepatocellular carcinomas. A key emphasis is placed on reducing treatment-related toxicity, enhancing target precision, and developing prognostic models to guide personalized treatment decisions.
Professor Kyung Chul Oh's research lab specializes in digital dentistry and computer-guided implant surgery, focusing on the accuracy and clinical application of intraoral scanning, 3D printing of surgical guides, and digital workflows for prosthesis fabrication. The lab investigates the integration of cone-beam computed tomography, virtual implant planning, and digital impression techniques to enhance treatment predictability and prosthetic outcomes. Key research directions include evaluating scanning strategies, assessing implant position accuracy, and developing fully digital workflows for complete dentures and implant-supported restorations.
Professor Dong-Woo Kim's research lab focuses on health economics, cybersecurity, and biomedical innovation, with a strong emphasis on real-world data analysis and policy-relevant research. The lab investigates the economic impact of public health challenges such as cancer burden and pandemic vaccination strategies, while also exploring emerging digital trends like NFT market dynamics through community-driven data. Additionally, the lab contributes to cybersecurity education reform and develops preclinical models for gastrointestinal disorders, reflecting a multidisciplinary approach to societal and health challenges. The integration of econometric modeling, behavioral data analysis, and translational biomedical research defines the lab’s core direction.
Professor Hyesok Yoon's research lab specializes in the development of advanced medical imaging systems, with a primary focus on integrating positron emission tomography (PET) with magnetic resonance imaging (MRI) for preclinical and clinical applications. The lab pioneers innovative detector technologies, such as silicon photomultipliers (SiPMs) and time-to-digital converter (TDC) architectures, to enhance imaging performance, reduce noise, and ensure MR compatibility. Their work emphasizes high-precision time-of-flight measurements and system stability, enabling detailed molecular imaging for small-animal studies and translational research. The lab also contributes to clinical imaging challenges, including post-surgical complications like febrile urinary tract infections in urological reconstruction.
Professor Rhim Sungsoo's research lab specializes in advanced control methodologies for flexible robotic systems, with a primary focus on vibration suppression and adaptive control techniques. The lab develops innovative command shaping algorithms—particularly time-delay and adaptive command shaping—aimed at enhancing the precision and safety of flexible manipulators and mobile robots. Research also extends to human-robot interaction, where safety criteria under physical contact are investigated through experimental studies on human pain thresholds. The lab emphasizes practical applications, integrating theoretical control design with real-world validation using experimental platforms and commercial robotic systems.
Professor Dong-Gu Choi's research lab specializes in energy systems modeling, sustainability assessment, and decision-making under uncertainty, with a strong focus on the integration of renewable energy, energy storage, and electric vehicles in power systems. The lab develops advanced simulation and optimization models—such as multi-criteria decision making (MCDM), Markov decision processes (MDP), and stochastic energy system models—to evaluate policy scenarios, assess system reliability and flexibility, and optimize the operation and sizing of energy storage systems. A key research direction involves analyzing the economic, environmental, and operational trade-offs in energy transition pathways, particularly in the context of South Korea’s power sector and broader regional energy systems. The lab also investigates consumer behavior in response to dynamic pricing and technology adoption, such as time-of-use tariffs and electric vehicles.
Professor Jin-Ho Noh's research lab specializes in the thermomechanical behavior and smart actuation of shape memory materials, with a focus on shape memory alloys (SMAs) and shape memory polymers (SMPs). The lab develops advanced constitutive models and finite element methodologies to analyze large deformations, nonlinear material responses, and structural instabilities such as post-buckling and snapping under thermal and mechanical loads. Key research directions include adaptive structural systems, SMA-based actuators for aerospace applications (e.g., morphing airfoils), and the design of high-performance composite materials with tailored shape memory characteristics. The lab combines experimental characterization with sophisticated numerical simulations using tools like ABAQUS and user-defined UMAT subroutines.
Professor Jeong-Gyu Ryu's research lab specializes in diagnostic radiology and medical imaging, with a strong focus on improving breast cancer screening accuracy through artificial intelligence and advanced MRI techniques. The lab investigates quantitative imaging biomarkers—such as T2* relaxation times—for characterizing breast lesions and enhancing early detection. It also explores sonographic signs, including color Doppler twinkling artifacts, to improve the diagnosis of calcified lesions and soft tissue masses. Additionally, the lab contributes to prenatal imaging by studying focal musculoskeletal anomalies and their clinical implications. These efforts collectively aim to advance precision diagnosis and patient outcomes in radiology.
Professor Wan Cheol Lee's research lab specializes in occupational and preventive medicine, focusing on the long-term health impacts of work-related factors such as long working hours, non-standard employment, and environmental exposures. The lab investigates the biological and epidemiological mechanisms linking occupational stressors—like precarious employment and shift work—to chronic diseases, including cardiovascular disease, chronic kidney disease, hearing loss, and non-alcoholic fatty liver disease. Using large-scale cohort studies and objective biomarkers, the lab emphasizes inflammation, metabolic dysfunction, and sensory impairments as key pathways. Their work bridges population health research with clinical and public health policy implications.
Professor Yun Sung Choi's research lab specializes in functional analysis, with a focus on the geometry of Banach spaces, polynomial and multilinear mappings, and numerical indices. The lab investigates the interplay between norms, numerical radii, and the Daugavet property in various function and sequence spaces, particularly in complex and real Banach settings. Key interests include the polynomial numerical index of order $k$, boundary theory for algebras of holomorphic functions, and the structure of weakly compact and absolutely summing mappings.
Professor Hong-Joong Kim's research lab specializes in the development and application of advanced machine learning and computational methods to solve critical challenges in biomedicine, finance, and industrial engineering. The lab focuses on predictive modeling for cancer therapy using targeted nanotherapeutics, such as siRNA-loaded lipid nanoparticles, and on improving machine learning performance through adaptive data selection and clustering techniques. Additionally, the lab investigates pharmacokinetics and drug metabolism to support drug development, while also addressing industrial issues like electronic component obsolescence through data-driven forecasting. Their interdisciplinary work bridges computational science, biomedical engineering, and data analytics to deliver precise, efficient, and proactive solutions.
Professor Heung Jae Lee's research lab specializes in pediatric and congenital cardiovascular diseases, with a strong focus on advanced medical imaging techniques such as MRI and MDCT for accurate diagnosis and evaluation of complex congenital heart defects. The lab investigates rare and critical postoperative complications like chylothorax and unroofed coronary sinus syndrome, emphasizing innovative conservative treatments such as somatostatin therapy. Additionally, the lab contributes to epidemiological studies on congenital heart disease and Kawasaki disease in the Korean population, highlighting regional variations and long-term outcomes. Their work bridges clinical cardiology, radiology, and public health to improve patient management and outcomes in pediatric cardiac care.
Professor Eunju Lee's research lab specializes in corpus-based applied linguistics, second/foreign language acquisition, and pragmatics in language education. The lab focuses on learner corpus development, discourse cohesion, and pragmatic competence, with particular attention to interlanguage variation and the pedagogical application of corpus data. Research also extends to phonological complexity in speech production and standardized assessment tools for pragmatic language abilities.
Professor Myung Jin Song's research lab focuses on critical care medicine and pulmonary fibrosis, with a strong emphasis on improving outcomes in intensive care patients. The lab investigates the efficacy and safety of pharmacological agents such as pirfenidone in idiopathic pulmonary fibrosis, stress ulcer prophylaxis in critically ill patients, and sedation strategies like dexmedetomidine in reducing complications such as new-onset atrial fibrillation. Additionally, the lab explores comorbidities in chronic lung diseases, including the risk of lung cancer in patients with idiopathic pulmonary fibrosis, using large-scale population-based data. Their work integrates clinical epidemiology, pharmacovigilance, and outcomes research to guide evidence-based practice in critical care and respiratory medicine.
Professor Jeong-Myeon Kwon's research lab specializes in colorectal cancer surgery and oncology, with a focus on improving surgical outcomes through advanced techniques such as total mesorectal excision and intersphincteric resection for low-lying rectal cancer. The lab investigates the impact of neoadjuvant therapy, imaging guidance, and surgical timing—particularly regarding ileostomy closure during adjuvant chemotherapy—on oncological and functional outcomes. It also explores the epidemiological and dietary influences on colorectal cancer incidence, especially in Asian populations undergoing rapid dietary transitions. Additionally, the lab contributes to rare disease research, including ectopic hepatocellular carcinoma, demonstrating a broad yet focused interest in gastrointestinal malignancies and surgical innovation.
