首尔大学、KAIST、延世大学等韩国QS前10名大学的研究室信息。
Professor Young-Hoon Kim's research lab specializes in the development of advanced optoelectronic materials and devices, with a primary focus on metal-halide perovskites for next-generation light-emitting diodes (PeLEDs) and photovoltaics. The lab investigates fundamental materials properties such as charge transport, exciton dynamics, and interface engineering to enhance device efficiency and stability. Key research directions include the design of multifunctional electron and hole transport layers, colloidal perovskite nanocrystals with tunable optoelectronic properties, and the application of perovskite materials in both lighting and energy conversion technologies. The lab also explores the biological implications of oxidative stress in cardiac diseases, particularly atrial fibrillation, through molecular profiling of human myocardial tissues.
Professor Joorim Na's research lab specializes in environmental toxicology and ecotoxicology, focusing on the impacts of emerging contaminants—particularly biodegradable and conventional microplastics, textile dyeing effluents, and Fenton reaction byproducts—on aquatic ecosystems. The lab investigates the acute and sublethal toxicity of these pollutants to model organisms like *Daphnia magna*, with particular attention to oxidative stress, mitochondrial dysfunction, and interactions with natural organic matter. Their work also explores the role of chemical processes, such as Fenton reactions, in amplifying toxicity, especially when low-purity reagents are involved. The lab integrates toxicity identification evaluation (TIE) and environmental simulation techniques to identify and mitigate sources of pollution in aquatic environments.
Professor Seungyeol Oh's research lab specializes in advanced ferroelectric materials, particularly HfZrO₂ (HZO)-based thin films, for next-generation nanoelectronics and neuromorphic computing. The lab focuses on optimizing ferroelectric properties such as polarization switching, endurance, and interface engineering to enable non-volatile multi-level memory devices and energy-efficient synaptic transistors. Key research directions include material integration with CMOS processes, structural engineering for high-k dielectrics, and pulse-driven device operation for applications in AI hardware and DRAM technology.
Professor Han Yong Bae's research lab specializes in the development of innovative organocatalytic methodologies and molecular sensors, with a strong focus on sustainable and efficient chemical transformations. The lab explores noncovalent interactions—particularly hydrogen bonding and hydrophobic effects—to enable enantioselective reactions, such as Michael additions and Mukaiyama aldol reactions, often under 'on-water' conditions that enhance reactivity and selectivity. A key direction involves the design of highly selective molecular receptors, such as N-triflyl phosphoric triamides, for the detection of toxic chemical warfare agents. The lab also investigates catalytic functionalization of small molecules like CO₂ and the synthesis of valuable fluorinated compounds using superbase catalysis.
Professor Min-Kyung Lee's research lab focuses on translational and clinical research in metabolic and urological diseases, with a strong emphasis on understanding the pathophysiology, risk prediction, and therapeutic optimization of type 2 diabetes and urothelial carcinoma. The lab investigates metabolic syndrome components as predictors of diabetes onset and explores biomarkers such as the albumin-to-creatinine ratio for early detection of diabetic complications. In oncology, the lab is actively engaged in advancing targeted therapies—particularly antibody-drug conjugates and immune checkpoint inhibitors—for metastatic urothelial carcinoma, aiming to improve outcomes in patients ineligible for standard chemotherapy.
Professor Gyeongho Kim's research lab specializes in intelligent manufacturing and predictive analytics, focusing on developing advanced machine learning and deep learning models for real-time condition monitoring and fault prediction in industrial processes. The lab's main research directions include uncertainty-aware tool wear prediction in machining, multimodal fault detection in plastic injection molding, and maritime accident prediction using interpretable machine learning. These efforts are aligned with sustainable manufacturing and zero-defect production, emphasizing practical deployability and robustness under diverse operating conditions. The lab also explores innovative electrochemical biosensing techniques for sensitive protein detection, demonstrating interdisciplinary applications in both industrial and biomedical fields.
Professor Jeongmin Lee's research lab focuses on identifying and validating bioactive compounds from natural sources for their therapeutic potential in metabolic disorders, neurodegenerative diseases, and immune modulation. The lab investigates functional foods and plant extracts—such as lactic acid bacteria from kimchi, *Echinacea purpurea*, Indian gooseberry, barley sprout, and isothiocyanates—for their anti-obesity, antioxidative, immunomodulatory, and neuroprotective effects using in vivo and in vitro disease models. Key research directions include the molecular mechanisms underlying lipid metabolism, oxidative stress, and apoptosis regulation, particularly in the context of HIV-associated cardiac dysfunction and prion diseases. The lab emphasizes translational applications of natural products in preventing and managing chronic diseases.
Professor Jae-Hyung Lee's research lab specializes in molecular and systems biology, with a focus on cardiac transcriptomics, microbial genomics, and food quality assessment using advanced omics and machine learning technologies. The lab investigates gene regulation and transcriptome complexity in heart disease, discovers novel microbial species from marine environments, and develops innovative biosensing systems for food freshness monitoring. A key strength lies in integrating high-throughput 'omics' data with computational modeling to uncover biological insights and practical applications.
Professor Yikweon Jang's research lab specializes in evolutionary ecology and behavioral ecology, focusing on species coexistence, reproductive isolation, and host-parasite interactions in terrestrial vertebrates and insects. The lab investigates how ecological differentiation, particularly through acoustic signaling and microhabitat use, enables coexistence of closely related species such as treefrogs and crickets. Research also explores the role of invasive species—like bullfrogs—in amplifying disease transmission (e.g., chytrid fungus) and altering community dynamics. The lab integrates field observations, acoustic monitoring, and statistical modeling to understand evolutionary and ecological processes across temporal and spatial scales.
Professor Juh Hyun Shin's research lab specializes in long-term care policy, nursing home quality, and data-driven health outcomes. The lab focuses on the impact of nursing staff composition and staffing levels on resident health, functional status, and quality of life, with an emphasis on using advanced statistical and machine learning methods to analyze large-scale resident assessment data such as the Minimum Data Set (MDS). Key research directions include evaluating the psychometric properties of long-term care assessment tools, applying hierarchical linear modeling and machine learning for predicting resident risks (e.g., falls), and informing evidence-based policy for long-term care insurance systems. The lab integrates health services research with health informatics to improve elder care delivery and outcomes.
Professor Yun Soo Bae's research lab specializes in cellular signaling mechanisms, with a central focus on the role of reactive oxygen species (ROS) as secondary messengers in growth factor and cytokine signaling. The lab investigates how ROS are generated through NADPH oxidases (such as Nox1 and Nox2) and regulated by key signaling molecules like PI3K, Rac GTPase, and lipid second messengers (e.g., PtdIns(3)P). Their work spans both mammalian cell systems—particularly in macrophages and epithelial cells—and plant systems, where ROS are shown to mediate hormonal responses such as auxin-induced gravitropism. The lab integrates molecular biology, live-cell imaging, and biochemical approaches to dissect redox signaling networks in health and disease.
Professor Keehoon Kang's research lab specializes in the development and fundamental understanding of advanced 2D and solution-processed semiconductor materials for next-generation electronic and optoelectronic devices. Key research directions include molecular doping in organic and hybrid perovskite semiconductors, charge transport engineering in 2D transition metal dichalcogenides (TMDCs), and the optimization of metal halide perovskites for thermoelectric and photovoltaic applications. The lab also explores novel device architectures such as ambipolar transistors and multispectral sensors for real-world applications like counterfeit detection. Their work emphasizes the interplay between material properties, doping mechanisms, and device performance to enable high-efficiency, low-cost electronic systems.
Professor Yongil Kim's research lab specializes in remote sensing and deep learning, focusing on advancing image analysis for Earth observation. The lab develops innovative deep learning architectures—such as Re3FCN, MSMLA-Net, and LCNN—tailored for hyperspectral, thermal, and medium- to high-resolution satellite imagery, with an emphasis on handling limited training data and preserving spatial-spectral information. Key research directions include change detection, land-cover and land-use classification, thermal data disaggregation, and semantic segmentation using lightweight and attention-enhanced networks.
Professor Sung-Hee Han's research lab specializes in pediatric anesthesiology and perioperative medicine, with a focus on improving patient experience and outcomes through innovative, patient-centered interventions. Key research directions include reducing preoperative anxiety in children using immersive technologies such as virtual reality and gamification, evaluating airway management devices for optimal ventilation and safety, and exploring the role of genetic screening in obstetric care and genetic counseling. The lab integrates clinical trials with technological innovation to enhance both pediatric and maternal health outcomes.
Professor Hyo-Gyoung Kwak's research lab specializes in nondestructive evaluation and mechanical behavior of construction materials, with a focus on ultrasonic testing and fresh concrete consolidation. The lab develops advanced experimental and numerical techniques to assess material properties, durability, and structural performance in concrete and mortar systems. Key research directions include wave attenuation measurement using ultrasonic methods, plastic settlement behavior of fresh concrete, and the influence of mix proportions, reinforcement geometry, and cover depth on material behavior. The lab integrates noncontact measurement technologies and computational modeling to improve structural safety and performance prediction.
Professor Young-Mock Lee's research lab specializes in mitochondrial diseases, with a focus on understanding the pathophysiology of mitochondrial cytopathies such as MELAS and Leigh syndrome. The lab investigates novel therapeutic strategies, including NAD+ modulators and gene therapy using AAV vectors, to correct metabolic and genetic defects in mitochondrial disorders. Additionally, the lab explores regenerative approaches in animal models, including germline chimera systems in poultry, to advance translational research in metabolic and neurological diseases. Their work bridges molecular genetics, metabolic medicine, and regenerative biology to develop targeted treatments for intractable pediatric and inherited conditions.
Professor Hyangkyu Lee's research lab focuses on cellular signaling mechanisms involving caveolin proteins, particularly caveolin-1 and caveolin-2, with a central emphasis on tyrosine phosphorylation and its role in cancer progression, cell migration, and metabolic regulation. The lab investigates the interplay between tyrosine kinases (e.g., c-Src), phosphatases (e.g., PTP1B), and post-translational modifications such as palmitoylation and phosphorylation in regulating caveolin function and subcellular localization. Additionally, the lab explores the metabolic effects of pharmacological agents like statins and polyphenols (e.g., Oligonol), linking cellular signaling to hepatic glucose metabolism and adipogenesis.
Professor Kyoungsoo Park's research lab specializes in computational mechanics and fracture mechanics, with a focus on advanced numerical methods for modeling complex material behaviors. The lab develops innovative finite element and virtual element methods to simulate dynamic cohesive fracture, including adaptive mesh refinement and enrichment techniques for accurate crack propagation. Key research directions include cohesive zone modeling, fatigue crack growth, and multi-scale microstructure reconstruction using multi-modal imaging. The lab also pioneers integration schemes for handling weak singularities and stability in extended finite element methods.
Professor Dong-wook Rha's research lab specializes in pediatric and rehabilitative neuroscience, focusing on neuromuscular interventions and neuroplasticity in children with movement disorders. The lab investigates innovative therapies such as platelet-rich plasma injections, virtual reality-based rehabilitation, and botulinum toxin injections to improve motor function and quality of life. Key research directions include optimizing injection techniques for spasticity management, enhancing postural control in cerebral palsy, and exploring neurorestorative mechanisms after early brain injury.
Professor Sung-Won Kim's research lab specializes in medical image analysis and artificial intelligence, with a focus on improving diagnostic accuracy and prognostic prediction in oncology and gastrointestinal diseases. The lab develops advanced radiomics and deep learning models using MRI, ultrasound, and radiographic imaging to support early detection, differential diagnosis, and personalized treatment planning for cancers such as hepatocellular carcinoma, thyroid cancer, and colorectal disorders. A key emphasis is placed on integrating clinical and imaging biomarkers to enhance disease-free survival prediction and surgical decision-making.
