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 Agani Afaya's research lab focuses on maternal and child health, with a strong emphasis on neonatal sepsis, antenatal care utilization, and breast cancer awareness in low-resource settings, particularly in Ghana. The lab investigates risk factors, health system challenges, and socio-cultural barriers affecting maternal and child health outcomes, aiming to inform policy and improve clinical practices. Research directions include improving medication safety reporting, enhancing preventive healthcare access, and developing culturally sensitive health education strategies. The lab’s work is deeply rooted in public health interventions tailored to sub-Saharan African contexts.
Professor Eunji Cheong's research lab focuses on the intersection of neuroscience, stem cell biology, and bioengineering, with a central emphasis on understanding the biophysical and molecular mechanisms underlying neuronal excitability, synaptic transmission, and neural circuit function. The lab investigates ion channel dynamics—particularly T-type calcium channels and their role in thalamocortical oscillations and absence epilepsy—while also developing advanced nanomaterial platforms to guide stem cell differentiation and study intracellular dynamics in real time. Using innovative techniques such as plasmonic nanohole arrays and electroconductive nanopatterned substrates, the lab explores how physical cues influence neural development and function at the cellular and subcellular levels. A key translational focus is on decoupling immunosuppressive and antifungal activities in FK506 analogues for novel antifungal drug development.
Professor Su Hong Park's research lab specializes in the design and synthesis of advanced organic semiconductors for optoelectronic applications, with a primary focus on next-generation organic light-emitting diodes (OLEDs) and polymer solar cells (PSCs). The lab develops novel emitters and electron-transport materials featuring unique molecular architectures—such as organoboron cores, carbazole derivatives, and fluorinated heterocycles—to achieve high efficiency, deep-blue emission, and enhanced stability. A key research direction involves engineering solution-processable materials with improved solubility and phase morphology control, particularly through block copolymers and random terpolymers, enabling high-performance, low-cost devices. The lab also emphasizes the development of fullerene-free, non-halogenated solvent-compatible materials for sustainable and scalable photovoltaic technologies.
Professor Young Hwa Jung's research lab specializes in advanced materials for sustainable energy storage, with a primary focus on sodium-ion batteries and aqueous battery systems. The lab investigates novel cathode materials such as NASICON-type phosphates, layered oxides, iron-based pyrophosphates, and manganese hexacyanomanganates, emphasizing structural stability, high-rate performance, and cost-effectiveness. A key research direction involves understanding and mitigating detrimental phase transitions and Jahn-Teller distortions through advanced characterization techniques like in situ XRD and XANES. The lab also explores two-dimensional transition metal dichalcogenides, particularly superconducting and topological phases in chalcogen-deficient systems, aiming to bridge materials synthesis with quantum electronic phenomena.
Professor Thathan Premkumar's research lab specializes in the design, synthesis, and application of functional nanomaterials with a focus on sustainable and green chemistry approaches. The lab develops innovative, eco-friendly methods for synthesizing nanoparticles—such as gold, silver, and copper oxide—using biocompatible agents, surfactants, or mechanochemical techniques under mild, solvent-free, or aqueous conditions. Key research directions include the controlled synthesis of nanomaterials with tailored size, shape, and surface properties for biomedical applications, particularly in cancer therapy, and the development of biomass-derived polymers like polyurethanes for advanced materials. The lab emphasizes green synthesis, supramolecular templating, and applications in nanomedicine and sustainable materials.
Professor Taejoon Kang's research lab specializes in the development of advanced nanomaterials and plasmonic platforms for highly sensitive biosensing and environmental monitoring. The lab focuses on surface-enhanced Raman scattering (SERS)-based detection systems, integrating nanomaterials such as gold nanowires, nanopopcorn, and metal-organic frameworks (MOFs) for applications in infectious disease diagnostics, antimicrobial resistance detection, and cancer biomarker identification. Key research directions include the design of multiplexed, quantitative, and field-deployable sensors for clinical and food safety applications.
Professor Yunseok Choi's research lab specializes in advanced energy storage systems and thermal management technologies, with a strong focus on lithium-ion batteries, rechargeable seawater batteries, and fire-safe battery designs. The lab develops cutting-edge machine learning and deep learning models—such as D-GELS—for accurate state-of-health (SOH) prediction across diverse battery chemistries and operating conditions. It also investigates thermal enhancement using metal foams for high-power electronics cooling and pioneers innovative fire suppression strategies through Water-in-Battery (WiB) concepts. The lab bridges materials science, electrochemistry, and data-driven modeling to enable safer, smarter, and more sustainable energy solutions.
Professor Ruchir Priyadarshi's research lab specializes in developing sustainable, biodegradable packaging solutions using biopolymers enhanced with natural and nanomaterial-based functional additives. The lab focuses on creating intelligent, pH-responsive, and active food packaging systems that incorporate natural colorants and nanomaterials such as sulfur quantum dots and silver nanoparticles for real-time quality monitoring and extended shelf life of perishable foods. Key research directions include the synthesis and characterization of eco-friendly nanofillers, antimicrobial and antioxidant functionalization of biopolymer films, and the application of these advanced materials in preserving fruits, meat, seafood, and dairy products.
Professor Jin Hur's research lab specializes in renewable energy integration, with a primary focus on improving the reliability and stability of power systems through advanced forecasting techniques. The lab develops machine learning and statistical models for short-term and day-ahead forecasting of wind and solar power, addressing the inherent variability and uncertainty of renewable energy sources. Emphasis is placed on ensemble methods, probabilistic modeling, and spatial-temporal data analysis to enhance grid integration and operational efficiency.
Professor Ji-Hyung Park's research lab specializes in watershed biogeochemistry, focusing on the impacts of climate change, land use, and anthropogenic stressors on carbon and nutrient dynamics in river systems. The lab investigates biogeochemical cycles in forested and urbanized watersheds, with particular emphasis on dissolved organic matter, greenhouse gas emissions (CO₂, CH₄, N₂O), and hydroclimatic controls during monsoon and snowmelt periods. Using field measurements, isotopic tracers, and optical properties of dissolved organic matter, the lab advances understanding of how environmental changes alter water quality and ecosystem function in Asian and North American river systems.
Professor SeungJin Bae's research lab specializes in health technology assessment, regenerative medicine, and biosimilar therapeutics, with a strong focus on health policy, cost-effectiveness, and real-world outcomes in advanced medical treatments. The lab investigates the implementation challenges and policy implications of innovative therapies such as CAR T-cell therapy, biosimilar infliximab, and advanced regenerative medicine under Korea’s ARMAB legislation. Research also extends to clinical epidemiology, including rare conditions like chromonychia and PPU, emphasizing patient-specific factors such as age, comorbidities, and adverse event profiles. The lab bridges clinical science with health economics and regulatory policy to support safe, effective, and sustainable adoption of cutting-edge medical technologies.
Professor Young Woon Lim's research lab specializes in fungal and microbial ecology, with a focus on the diversity, interactions, and ecological roles of fungi and bacteria in forest and coastal ecosystems. The lab employs molecular techniques such as pyrosequencing and 16S/18S rDNA sequencing to explore microbial communities associated with economically and ecologically important fungi like Tricholoma matsutake and Pinus thunbergii. Key research directions include understanding symbiotic and pathogenic interactions between fungi and bacteria, microbial community dynamics in mycorrhizal environments, and the functional roles of endophytes in stress resistance. The lab also investigates the biogeography and genetic diversity of ectomycorrhizal fungi, particularly within the Russulaceae family.
Professor Soo-Yeon Lee's research lab specializes in brain-inspired neuromorphic computing, focusing on the development of oxide-based thin-film transistors for artificial synaptic devices. The lab explores advanced materials such as amorphous InGaZnO (IGZO) and ZnON thin films to enable energy-efficient, high-performance neuromorphic systems with low power consumption and robust reliability. Key research directions include optimizing charge trapping mechanisms, minimizing persistent photoconductivity, and enhancing device stability under optical and electrical stress for next-generation optoelectronic neuromorphic applications.
Professor Sanghee Kim's research lab specializes in palliative and end-of-life care, with a focus on improving nursing education, ethical decision-making, and tailored care models for non-cancer patients. The lab investigates knowledge gaps, confidence levels, and educational needs among nurses, particularly in the context of hospice and palliative care. It also explores the impact of structured training programs and ethics education on clinical practice and patient outcomes. Additionally, the lab examines evolving healthcare delivery models, including sustainable consumer behaviors in healthcare-related markets.
Professor Jung Hyun Yoon's research lab specializes in medical imaging and artificial intelligence, focusing on improving diagnostic accuracy and efficiency in breast and thyroid cancer screening. The lab investigates AI-driven applications in mammography, including digital mammography and tomosynthesis, to enhance early detection and risk stratification. Key research directions include elastography for improved specificity in ultrasound, computer-aided diagnosis systems, and the integration of AI tools like S-Detect to support radiologists across varying levels of expertise. The lab also evaluates the clinical feasibility and performance of emerging technologies to optimize patient management and reduce diagnostic variability.
Professor Byung-In Kim's research lab specializes in intelligent scheduling and control systems for automated manufacturing and material handling environments, with a strong focus on industrial applications in semiconductor fabrication and warehouse logistics. The lab develops agent-based and hybrid control architectures that integrate optimization, real-time decision-making, and dynamic resource allocation to enhance system efficiency and utilization. Key research directions include vehicle dispatching, order picking optimization, and plate stacking problems in automated systems, often leveraging advanced algorithms such as the Hungarian algorithm and heuristic methods. The lab emphasizes practical implementation through simulation and real-world system analysis to improve throughput and reduce operational costs.
Professor Sang Ki Park's research lab focuses on cellular signaling mechanisms underlying neurological and psychiatric disorders, with a central emphasis on the mitochondria-associated ER membrane (MAM) as a key signaling hub regulating calcium homeostasis, mitochondrial function, and cellular stress responses. The lab employs innovative proximity labeling techniques like Contact-ID to map subcellular proteomes and investigates signaling molecules such as DISC1, PKA-RII, and Ndel1 in neurodevelopment and neuronal function. They also develop advanced fluorescent probes to visualize reactive oxygen species in neuroinflammatory conditions, linking oxidative stress to brain disorders. Their work bridges cell biology, neuroscience, and chemical biology to uncover molecular mechanisms in mental illness and neurodegeneration.
Professor Hee Chul Park's research lab specializes in developing innovative nanotherapeutic strategies to overcome treatment resistance in solid tumors, particularly focusing on radiation therapy (RT) enhancement in hypoxic and radioresistant cancers such as pancreatic and hepatocellular carcinoma (HCC). The lab integrates nanomaterials, such as fucoidan-coated manganese dioxide nanoparticles, to alleviate tumor hypoxia and improve RT efficacy. They also investigate the synergistic effects of combining RT with immunotherapies like nivolumab, aiming to optimize treatment sequencing and improve clinical outcomes. Their work bridges preclinical research with translational applications, guiding clinical trial design and practice guidelines in liver cancer.
Professor Namkee Oh's research lab specializes in the intersection of artificial intelligence and surgical medicine, focusing on advancing surgical planning and education through deep learning and large language models. The lab develops innovative AI-driven solutions for medical image segmentation—particularly in liver and biliary anatomy—using MRI and MRCP data to enhance precision in preoperative and intraoperative decision-making. A key focus is integrating AI tools like GPT-4 into clinical workflows to improve diagnostic accuracy, surgical training, and patient outcomes. The lab also explores real-time intraoperative applications, such as automated biliary structure identification during laparoscopic donor hepatectomy.
Professor Jaehyuk Cha's research lab specializes in advancing artificial intelligence and machine learning for medical diagnostics, with a strong focus on early detection and classification of critical diseases using medical imaging. The lab develops innovative deep learning frameworks combined with explainable AI to improve accuracy in diagnosing skin cancer, diabetic retinopathy, COVID-19, and chest abnormalities from radiographs and retinal scans. A key emphasis is on addressing real-world clinical challenges such as data imbalance, low-contrast lesions, and model interpretability to enhance clinical usability and patient outcomes. The lab also explores AI-driven solutions for online healthcare prediction and assistive technologies for people with visual impairments.
