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 Gangil Byun's research lab specializes in the design and optimization of advanced antenna systems for aerospace and defense applications, with a focus on compact, high-performance, and robust radiating structures. The lab emphasizes innovative array configurations—such as curved, circular, and arc-shaped arrays—combined with advanced signal processing techniques like LMS and MUSIC algorithms to enhance pattern directivity, null depth, and direction-finding accuracy. Key research directions include miniaturized dual-band antennas, embedded antennas for aircraft platforms, and electromagnetic optimization using genetic algorithms and full-wave simulation tools. The lab's work bridges electromagnetic theory, practical hardware fabrication, and real-world performance validation in anechoic and semi-anechoic chambers.
Professor Sangjun Yoo's research lab focuses on urological oncology and lower urinary tract diseases, with a strong emphasis on prostate cancer, benign prostatic hyperplasia (BPH), and urothelial carcinoma. The lab investigates advanced imaging techniques such as multiparametric MRI for cancer detection and characterization, explores the role of metabolic and lifestyle factors in prostate and bladder diseases, and examines novel biomarkers—including the microbiome and vitamin D—linked to disease progression and symptom burden. The lab also evaluates the impact of diagnostic and therapeutic interventions, such as ureteroscopic biopsy and systemic therapies in castration-resistant prostate cancer.
Professor Sung Hee Oh's research lab focuses on viral immunology and infectious disease epidemiology, with a particular emphasis on varicella-zoster virus (VZV) and other herpesviruses. The lab investigates the immunogenicity, safety, and population-level impact of varicella vaccination, as well as the cellular immune mechanisms—such as NK cell-mediated lysis involving HLA-DR+ cells—that contribute to antiviral defense. Additional research includes the epidemiology of enteric and nosocomial infections, including antimicrobial resistance in pathogens like E. coli producing CTX-M-15 and OXA-30 beta-lactamases. The lab also explores clinical predictors of severe outcomes in viral infections such as hand, foot, and mouth disease caused by enterovirus A71.
Professor Tae-Joon Park's research lab specializes in brain-inspired electronics and neuromorphic computing, focusing on the development of reconfigurable oxide-based devices that emulate neural and synaptic functions. The lab explores strongly correlated oxides—particularly perovskite nickelates and vanadium dioxide—to create artificial neurons, synapses, and memory elements with tunable conductance states through electric-field-induced ion migration. By leveraging the unique sensitivity of these materials to proton or carrier doping, the lab achieves dynamic, on-demand reconfiguration of electronic functions for applications in reservoir computing, pattern recognition, and adaptive learning systems. The integration of homotypic materials into single-chip neuromorphic architectures enables scalable, low-power hardware for next-generation AI and robotics.
Professor Young Hyung Won's research lab focuses on translational oncology and clinical pharmacology, with a strong emphasis on molecularly targeted therapies in non-small cell lung cancer (NSCLC), particularly regarding EGFR mutations and their differential responses to tyrosine kinase inhibitors. The lab also investigates autophagy modulation as a therapeutic strategy in colorectal cancer, exploring the synergy between chemotherapeutic agents and autophagy inhibitors like chloroquine. Additionally, the lab examines clinical management challenges in special populations, such as pregnant patients with autoimmune thrombocytopenia and dialysis patients on renin-angiotensin system inhibitors, highlighting drug safety and metabolic complications in oncology and nephrology settings.
Professor Hoonyoung Jeong's research lab specializes in computational reservoir engineering and data-driven modeling for subsurface flow systems, focusing on uncertainty quantification, reservoir characterization, and flow assurance in hydrocarbon and carbon storage applications. The lab develops advanced machine learning and stochastic optimization techniques—such as conditional generative adversarial networks, random forests, and ensemble-based optimization methods—to accelerate simulations and improve decision-making in complex, heterogeneous geological formations. Key research directions include predictive modeling of multiphase flow, real-time choke control for gas wells, and fast uncertainty assessment in geological carbon storage projects.
Professor Hoon-Jin Lee's research lab focuses on personality psychology, particularly the clinical and developmental aspects of narcissism, self-compassion, and emotional regulation. The lab investigates narcissistic traits through subtypes such as vulnerable and overt narcissism, examining their psychological mechanisms, self-regulation strategies, and links to psychopathology. A key focus is on promoting psychological well-being through self-compassion interventions and exploring acceptance-based processes like mindfulness and cognitive acceptance in relation to anxiety, depression, and trauma-related disorders.
Professor Chorong Park's research lab focuses on health promotion and self-management strategies for chronic illness, particularly among older adults and diverse populations such as Korean immigrants. The lab investigates behavioral, environmental, and psychosocial factors influencing physical activity, sedentary behavior, and health outcomes, with a strong emphasis on health empowerment, cultural adaptation, and patient-centered interventions. Research spans qualitative metasynthesis, instrument development (e.g., Korean Health Empowerment Scale), and population-based studies on cardiovascular risk factors.
Professor Sin-Young Park's research lab focuses on healthcare systems, population health, and clinical research ethics, with an emphasis on improving patient experience, fostering hospital-community partnerships, and ensuring ethical standards in clinical research. The lab investigates how organizational characteristics, such as hospital size and electronic health record adoption, influence patient satisfaction and health outcomes, while also developing practical tools—like streamlined auditing processes—for enhancing research quality and compliance. Additionally, the lab explores digital health innovations, including mobile engagement in fashion and wellness apps, to understand experiential value and user behavior in digital health environments. A key theme across the research is the integration of ethical, systemic, and technological approaches to improve population health and research integrity.
Professor Kyung-Geun Hwang's research lab specializes in oral and maxillofacial regenerative medicine, with a focus on guided bone regeneration, alveolar bone morphology, and innovative bone grafting techniques. The lab investigates biocompatible materials such as silk fibroin for tissue engineering applications and develops minimally invasive surgical methods for autogenous bone harvesting. Additionally, the lab integrates advanced imaging and deep learning technologies to improve diagnostic accuracy in periodontal disease assessment using limited labeled medical data.
Professor Minsuk Suh's research lab specializes in molecular imaging and nuclear medicine, focusing on the development and clinical application of novel radiotracers for accurate diagnosis and personalized treatment of diseases such as cancer, neurodegenerative disorders, and musculoskeletal conditions. The lab investigates advanced imaging techniques—including SPECT/CT, PET/CT, and targeted radiopharmaceuticals—while exploring the potential of ultra-small iron oxide nanoparticles and fluorine-18 labeled compounds for improved diagnostic sensitivity and specificity. A key emphasis is placed on translating preclinical findings into clinical practice through rigorous comparative studies and data-driven approaches to image pattern analysis.
Professor Ji Bong Jeong's research lab specializes in translational biomedical research, focusing on the molecular mechanisms underlying chronic liver diseases, metabolic syndrome, and pancreatic cystic neoplasms. The lab investigates genetic polymorphisms, such as those in the TGF-beta1 gene, and their associations with hepatocellular carcinoma risk in hepatitis B patients. It also explores the clinical utility of cyst fluid analysis for diagnosing pancreatic cysts and examines the dose-response relationships between sarcopenia and metabolic syndrome. Additionally, the lab contributes to understanding the impact of body fat distribution on vascular health, particularly arterial stiffness measured by brachial-ankle pulse wave velocity.
Professor Jeong-jae Park's research lab specializes in paleoclimatology and environmental change, focusing on high-resolution multiproxy reconstructions of past climate variability in East Asia and the Northern Hemisphere. The lab investigates Holocene climate dynamics, including abrupt climate events, the Holocene Climatic Optimum, and long-term hydroclimate changes, with particular emphasis on monsoonal and ENSO-related variability. Using terrestrial proxy records such as pollen, grain size, organic carbon, and isotopic data, the lab contributes to resolving the 'Holocene conundrum' and improving model-data comparisons. Their work also extends to understanding the role of climate in shaping past ecosystems and human-environment interactions in coastal and island regions of East Asia.
Professor Min Woo Kim's research lab specializes in the development of advanced nanotheranostic platforms for cancer diagnosis and therapy, with a focus on integrating targeted drug delivery, imaging agents, and biomarker detection. The lab pioneers innovative lipid-based and biomimetic nanocarriers—such as aptamer-conjugated lipid nanocarriers, extracellular vesicle isolation systems, and cell membrane-coated gold nanoparticles—to enable precise tumor targeting, controlled drug release, and real-time bioimaging. Their work emphasizes the translation of these multifunctional systems from preclinical models to clinical applications, particularly for challenging cancers like triple-negative breast cancer.
Professor Tae-Seok Seo's research lab specializes in nanomaterials synthesis and their applications in biomedicine and diagnostics. The lab focuses on developing advanced carbon-based nanomaterials such as graphene quantum dots, graphene oxide sponges, and graphene-based nanocomposites for sensing and imaging. A key research direction involves integrating these nanomaterials into lab-on-a-disc microfluidic systems for rapid, automated, and colorimetric detection of foodborne pathogens. Additionally, the lab pioneers innovative DNA sequencing technologies using photocleavable fluorescent nucleotides and surface-immobilized DNA arrays for high-throughput, accurate genetic analysis.
Professor Haeyoung Kim's research lab focuses on translational and clinical oncology, with a primary emphasis on breast cancer management, particularly in Asian populations. The lab investigates genetic factors such as BRCA1/2 mutations and their implications in early-onset breast cancer, while also exploring optimal radiotherapy strategies, including whole-breast irradiation and regional lymph node irradiation. Additional research directions include the role of imaging, salvage treatments, and prognostic factors in metastatic and locally advanced disease. The lab also examines barriers to advanced treatment modalities like brachytherapy in clinical practice.
Professor Bo Ri Kim's research lab specializes in dermatological disorders, with a focus on the epidemiology, comorbidities, and treatment outcomes of chronic inflammatory skin conditions such as chronic urticaria, psoriasis, and acne. The lab conducts population-based studies and clinical trials to understand disease progression, laboratory changes during long-term therapy, and the efficacy of novel treatments like polydeoxyribonucleotide (PDRN) for scar prevention. Key research directions include identifying risk factors for disease severity and complications, evaluating patient-reported outcomes, and exploring the link between skin diseases and systemic conditions such as uveitis and psoriatic arthritis.
Professor Kyu Sung Choi's research lab specializes in radiogenomics and medical image analysis, focusing on leveraging advanced deep learning and quantitative MRI techniques to predict molecular and clinical outcomes in neurological disorders. The lab investigates glioma classification through perfusion MRI and glymphatic system function in neuroinflammatory diseases like multiple sclerosis and neuromyelitis optica spectrum disorder. A key focus is developing interpretable AI models that enhance diagnostic reliability and reproducibility in neuroimaging, particularly for predicting MGMT methylation status, IDH genotype, and hematoma expansion. The lab also explores mental health prediction using multimodal data, including questionnaires and graph neural networks.
Professor Jiseok Shim's research lab specializes in biomaterials and dental implantology, focusing on the development and evaluation of advanced materials for dental restorations and bone regeneration. Key research directions include optimizing resin cements for effective polymerization through translucent and opaque materials, enhancing biocompatibility of dental composites through fabrication techniques, and designing synthetic scaffolds with controlled nitric oxide release to promote osteogenesis and angiogenesis. The lab also investigates the clinical implications of systemic diseases—particularly rheumatic disorders—on temporomandibular joint health.
Professor Yonguk Jeong's research lab specializes in quantum electronics and superconducting nanoelectronics, focusing on the development of high-precision Josephson junctions for quantum voltage standards and quantum computing applications. The lab investigates vertically stacked superconductor–normal metal–superconductor (SNS) Josephson junctions, emphasizing materials engineering, thermal management, and device scalability for metrology and quantum information systems. A key focus is on reducing noise and errors in quantum devices through innovative designs and machine learning-based error mitigation techniques.
