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 SungHee Choi's research lab specializes in computational geometry, geometric modeling, and shape reconstruction, with a strong focus on Delaunay triangulation, surface meshing, and medial axis approximation. The lab develops robust algorithms for 3D surface reconstruction from point clouds, leveraging geometric duality and efficient data structures to ensure theoretical guarantees and practical performance. Recent work extends into affective computing, where computational frameworks model emotional responses in real-world situations through spatiotemporal affective curves. The lab also explores advanced manufacturing systems, including hexapod-based robotic machining platforms for large-scale, high-precision fabrication.
Professor Wonjae Shin's research lab specializes in advanced wireless communication systems, with a primary focus on interference management, multiple access techniques, and efficient resource allocation in next-generation cellular networks. The lab explores non-orthogonal multiple access (NOMA), interference alignment (IA), coordinated beamforming, and physical-layer network coding (PNC) to enhance spectral efficiency, user fairness, and system capacity in dense and heterogeneous networks. Key research directions include multi-cell and heterogeneous network (HetNet) optimization, relay-aided transmission, and power allocation under quality-of-service and power constraints. The lab's work is highly relevant to 5G and beyond 5G (B5G) networks, emphasizing massive connectivity, high spectral efficiency, and robust performance in interference-limited environments.
Professor Joong Hee Kim's research lab focuses on epidemiological and clinical studies related to cardiovascular and critical care outcomes, with a strong emphasis on environmental health impacts, sepsis, and hospital-acquired conditions. The lab investigates the long-term effects of air pollution on cardiovascular health, particularly in urban populations like those in Seoul, Korea, and explores biomarkers such as monocyte counts in sepsis to predict mortality and organ dysfunction. Additional research directions include the epidemiology of sepsis, risk factors for adverse outcomes, and the association between vertebral fractures and pneumonia in elderly populations. The lab also examines healthcare system-related risks, such as pressure ulcers in emergency departments linked to prolonged length of stay. These studies are primarily population-based, leveraging national health insurance and screening data for robust, real-world insights.
Professor Baek-il Kim's research lab specializes in biomaterials and oral health, focusing on the development and evaluation of nano-sized bioactive materials for dental applications. The lab investigates the remineralization potential of fluoride and carbonate apatite-based agents, particularly through innovative delivery methods like iontophoresis. It also explores the clinical and biological correlates of masticatory function, periodontal disease, and dental plaque using advanced imaging and molecular techniques. The research integrates in vitro, in vivo, and clinical studies to improve preventive and therapeutic strategies in restorative and preventive dentistry.
Professor Sang Joon Park's research lab specializes in medical image analysis and computational radiology, focusing on leveraging advanced imaging techniques such as MRI, CT, and 3D printing to improve diagnostic accuracy and surgical planning in neuro- and oncological diseases. The lab emphasizes the development of deep learning-based automated segmentation tools for accurate tumor volume measurement, particularly in meningiomas and gliomas, and applies radiomics and texture analysis to predict tumor behavior and metastatic potential. The integration of patient-specific 3D-printed models into clinical workflows further enhances surgical simulation and personalized treatment planning.
Professor Eun Seon Cho's research lab specializes in the design and development of advanced nanomaterials for sustainable energy applications, with a primary focus on hydrogen storage and energy conversion. The lab pioneers innovative hybrid materials—particularly metal hydrides encapsulated in 2D carbon-based nanomaterials like reduced graphene oxide—engineered to overcome kinetic and thermodynamic limitations. Key research directions include nanoconfinement strategies, interfacial engineering through heteroatom doping (e.g., boron), and the fabrication of functional membranes for renewable energy harvesting, such as in reverse electrodialysis. The lab emphasizes materials stability, ion selectivity, and high performance under practical conditions.
Professor Joo Young Jeong's research lab specializes in orthodontic and maxillofacial research, focusing on the morphological and biomechanical aspects of dental and skeletal development in the context of malocclusion. The lab investigates the relationship between craniofacial morphology, tooth development (including hypodontia and root resorption), and orthodontic treatment outcomes using advanced imaging techniques such as CBCT and micro-CT. A key focus is on 3D facial prediction using deep learning to improve treatment planning in adult orthodontics. The lab also explores molecular mechanisms underlying dental tissue remodeling, particularly the role of osteopontin in orthodontic root resorption.
Professor Jae Hoon Jeong's research lab specializes in intelligent vehicular networks and wireless communication systems, focusing on optimizing data delivery and traffic management in dynamic, high-mobility environments. The lab explores trajectory-based data forwarding, privacy-preserving navigation, and energy-efficient target tracking to enhance vehicular network performance. Key research directions include infrastructure-to-vehicle communication, self-adaptive navigation systems, and real-time road network optimization using vehicular cloud computing. The lab emphasizes practical, scalable solutions that leverage GPS trajectory data and vehicular kinematics for improved network efficiency and energy conservation.
Professor Moon Jong Chang's research lab specializes in orthopedic surgery and musculoskeletal imaging, with a primary focus on knee joint pathologies, particularly meniscal injuries and their surgical management. The lab conducts advanced research on magnetic resonance imaging (MRI) diagnostics for meniscal root tears, including the development of classification systems and evaluation of imaging signs such as the ghost meniscus and truncation signs. It also investigates postoperative outcomes following anterior cruciate ligament reconstruction and total knee arthroplasty, emphasizing functional recovery, physical activity levels, and revision surgery prevention. The lab integrates clinical, radiological, and biomechanical approaches to improve diagnostic accuracy and surgical outcomes in knee disorders.
Professor Heeyoung Kim's research lab specializes in data-driven innovation across diverse domains, focusing on intelligent systems, human-centered technology, and advanced analytics. The lab explores forecast accuracy improvement through novel metrics like MAAPE, enhances quality control in semiconductor manufacturing via spatial defect pattern analysis, and investigates human-robot interaction through gesture-based personality expression. Additionally, the lab applies emerging technologies such as augmented reality and real-time vessel tracking systems to advance applications in cultural experiences, logistics, and education.
Professor Ji Hye Hwang's research lab specializes in digital health and rehabilitation medicine, focusing on innovative, technology-driven solutions to improve physical and psychological outcomes in cancer survivors. The lab investigates the integration of augmented reality (AR)-based telerehabilitation, supervised exercise therapy, and advanced imaging techniques to manage treatment-related complications such as lymphedema, shoulder dysfunction, and fatigue. Key research directions include optimizing postoperative recovery through personalized, remote rehabilitation systems and evaluating predictive biomarkers for treatment response in early-stage lymphedema.
Professor Seon Ho Cho's research lab specializes in advanced computational mechanics and structural optimization, focusing on topology and shape optimization for thermal and structural systems under complex loading conditions. The lab develops innovative numerical methods—particularly level set-based approaches and continuum-based design sensitivity analysis—for solving nonlinear, large-deformation, and dynamic problems in engineering design. Key applications include crashworthiness, powertrain mounting systems, and heat conduction with design-dependent boundaries. The lab emphasizes robust, stable optimization frameworks that integrate topological derivatives and Hamilton-Jacobi equations to overcome convergence issues in nonlinear problems.
Professor Ha Young Shin's research lab specializes in neurological autoimmunity, with a focus on autoimmune encephalomyelitis, neuromuscular disorders, and neuroimmunological diseases such as Behçet’s disease, myasthenia gravis, and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). The lab investigates clinical phenotypes, biomarkers, treatment responses, and long-term outcomes, integrating clinical, serological, and neurophysiological data. Their work emphasizes early diagnosis, predictive factors for disease progression, and the role of autoantibodies in shaping disease course and therapeutic response.
Professor Hong, Ki Jeong's research lab specializes in emergency medicine and health informatics, focusing on improving prehospital and emergency care through innovative technologies. The lab develops AI-driven predictive models for early diagnosis of critical conditions such as bacteremia and explores the integration of unmanned aerial vehicles (UAVs) for rapid emergency response, such as AED delivery in out-of-hospital cardiac arrest. Their work emphasizes real-world applicability by incorporating environmental factors like topography and weather into simulation models, enhancing the reliability of emergency response systems. The lab also investigates decision-support tools that combine artificial intelligence with clinical expertise to improve diagnostic accuracy and reduce healthcare costs.
Professor Sung-Hee Kang's research lab focuses on liver diseases, particularly cirrhosis and fatty liver disease, with an emphasis on metabolic and prognostic factors influencing disease progression. The lab investigates sarcopenia as a key predictor of poor outcomes in cirrhotic patients and explores the role of metabolic dysfunction in fatty liver pathogenesis, advocating for the reclassification of NAFLD to MAFLD. Additionally, the lab examines emerging therapies such as rifaximin and mesenchymal stem cell transplantation for managing complications in chronic liver disease.
Professor Jaewook Lee's research lab specializes in the intersection of computational modeling, smart materials, and human-centered technology. The lab focuses on topology optimization for electromagnetic devices, particularly in advancing electro-permanent magnet actuators and HfO₂-based ferroelectric and resistive memory devices. A key research direction involves developing context-aware intelligent systems—such as gaze and gesture-enabled voice assistants for augmented reality—while also addressing accessibility through innovative image exploration tools for blind users. The lab integrates principles from applied mathematics, materials science, and human-computer interaction to create robust, adaptive, and user-informed technological solutions.
Professor Jaesung Jang's research lab specializes in the development of advanced electrochemical biosensors and nanomaterial-based detection systems for rapid, label-free, and point-of-care diagnostics of viral pathogens, particularly influenza viruses (H1N1, H5N1, H7N9, H9N2). The lab focuses on integrating novel nanomaterials—such as reduced graphene oxide, carbon nanotubes, and Pd-TiO2 photocatalysts—into flexible, paper-based, and microfluidic platforms to enhance sensitivity, selectivity, and portability. Key research directions include electrochemical immunosensing, vacuum UV photocatalysis for air disinfection, and scalable, low-cost fabrication techniques for point-of-care applications.
Professor Kichun Jo's research lab specializes in autonomous vehicle technologies, focusing on intelligent perception, localization, and decision-making systems. The lab develops advanced sensor fusion algorithms, including Bayesian filtering and Monte Carlo localization, to enhance position estimation accuracy and reliability in dynamic driving environments. Key research directions include distributed system architecture for autonomous driving platforms, high-precision roadway mapping, and unified tracking and behavior reasoning for surrounding vehicles. The lab emphasizes robust, fault-tolerant, and modular system design to support real-world deployment of self-driving technologies.
Professor Heeyoung Kim's research lab specializes in data-driven decision-making and intelligent systems, with a strong focus on forecasting accuracy, semiconductor manufacturing quality control, and human-robot interaction. The lab develops innovative metrics like MAAPE for robust forecasting and applies advanced data analytics to detect defects in semiconductor wafers and predict yield issues using early-stage test data. It also explores human-centered robotics by designing expressive robot gestures that convey distinct personality types, enhancing user perception and interaction. Additionally, the lab leverages real-time tracking data for early vessel delay detection in maritime logistics, supporting supply chain resilience.
Professor Sung Woo Cho's research lab specializes in cardiovascular and respiratory diseases, with a focus on understanding the pathophysiology, clinical features, and long-term outcomes of conditions such as pacing-induced cardiomyopathy, coronary vasospasm, and chronic rhinosinusitis with distinct inflammatory endotypes. The lab employs advanced clinical and analytical methods—including echocardiography, invasive hemodynamic testing, and unsupervised machine learning on polysomnographic data—to identify disease phenotypes and predictors. A key research direction involves dissecting immune-mediated mechanisms in inflammatory airway and heart diseases, particularly the role of type 2 immunity and eosinophilia in disease heterogeneity and prognosis.
