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 Ha Young Kim's research lab specializes in intelligent systems and data-driven solutions for critical challenges in civil infrastructure, materials science, and financial engineering. The lab focuses on developing advanced machine learning and deep learning models—particularly LSTMs, convolutional neural networks (CNNs), and deep reinforcement learning—for applications such as disease prediction in agriculture, concrete compressive strength estimation, structural damage recognition, and optimized algorithmic trading. A key strength lies in integrating real-world data with AI to create robust, predictive, and decision-support systems for safety, sustainability, and efficiency.
Professor Ha Young Kim's research lab specializes in interdisciplinary artificial intelligence applications, focusing on multimodal learning, computer vision, and natural language processing with real-world impact. The lab develops advanced deep learning models—such as hybrid LSTM-CNN architectures and vision-language frameworks—for tasks ranging from financial time series forecasting and stock price prediction to image-to-music retrieval and autonomous vehicle perception. A key research direction involves enhancing AI systems with explainability and human-in-the-loop design, particularly in creative domains like art authentication and medical diagnosis using low-resource, imbalanced data. The lab also explores generative AI for information recovery in safety-critical environments, such as restoring obscured road signs for autonomous driving.
Professor Meehee Cho's research lab focuses on hospitality and tourism management, with a strong emphasis on employee behavior, sustainability, and innovation in the restaurant and service industries. Key research directions include workplace incivility and its impact on employee well-being, the role of perceived organizational support and emotion regulation in mitigating stress, and the promotion of green and sustainable practices among frontline employees. The lab also investigates innovation ambidexterity, partnership dynamics, and generational differences—particularly among Generation Z—in shaping service performance and behavioral intentions in hospitality contexts.
Professor Dohyun Han's research lab specializes in translational proteomics, focusing on identifying disease-specific protein biomarkers and molecular mechanisms underlying complex human diseases. The lab employs advanced mass spectrometry-based proteomic technologies—such as iTRAQ, TMT, and label-free LC-MS/MS—on clinical and preclinical models to study metabolic disorders (e.g., type 2 diabetes), neurodegenerative and autoimmune diseases (e.g., multiple sclerosis), and aggressive cancers (e.g., ovarian and adrenal cortical carcinomas). A key strength lies in integrating proteomics with bioinformatics and machine learning to discover prognostic biomarkers and elucidate disease pathways, particularly using patient-derived tissues including FFPE and frozen samples. The lab also pioneers innovative workflows for membrane and glycoproteomic analysis, advancing the study of cellular signaling in neurological diseases.
Professor Heung-Sik Kim's research lab specializes in quantum materials, with a primary focus on strongly correlated electron systems, topological quantum matter, and spin-orbit coupled magnets. The lab investigates emergent quantum phenomena such as Kitaev spin liquid physics, Mott transitions, and topological crystalline metals using advanced first-principles electronic structure calculations combined with dynamical mean-field theory. A key research direction involves understanding how spin-orbit coupling and electron correlations interact in 3d, 4d, and 5d transition metal compounds to realize exotic quantum phases, including non-Abelian anyons and topological surface states. The lab also explores the role of lattice structure and electronic correlations in tuning quantum criticality and topological order in two-dimensional and honeycomb-lattice materials.
Professor In Ho Park's research lab specializes in microbial pathogenesis, with a primary focus on Streptococcus pneumoniae, particularly the molecular and genetic mechanisms underlying capsular polysaccharide diversity and serotype variation. The lab investigates the biochemical and genomic basis of pneumococcal serotypes, including the identification of novel serotypes (e.g., 6C), the role of glycosyltransferases in capsule structure, and the genetic determinants of serological diversity. The lab also explores the pathogenesis of non-typeable pneumococci and the regulation of virulence factors, contributing to improved diagnostics and vaccine development. Their work integrates molecular microbiology, glycobiology, and genomics to understand bacterial immune evasion and pathogenicity.
Professor Dong-Hyun Cha's research lab specializes in regional climate modeling, with a focus on improving the simulation and prediction of tropical cyclones, monsoon systems, and extreme weather events in East Asia and the western North Pacific. The lab emphasizes dynamical downscaling using high-resolution regional climate models, spectral nudging techniques, and coupled air–sea interaction to reduce systematic model errors and enhance forecast accuracy. Key research directions include the development of advanced initialization schemes for tropical cyclones, the impact of large-scale atmospheric constraints on regional climate simulations, and the assessment of climate change effects on extreme precipitation and heat waves. The lab also investigates the role of synoptic-scale dynamics and local processes in shaping regional climate variability and extremes under global warming.
Professor Dong Wook Shin's research lab focuses on cellular and molecular mechanisms underlying calcium signaling in muscle physiology, with a particular emphasis on calsequestrin and its regulatory roles in the ryanodine receptor complex. The lab also investigates autophagy-related mechanisms, especially lipophagy, in lipid homeostasis and metabolic regulation. Additionally, the lab explores photobiological responses in human skin, including the role of rhodopsin in keratinocytes and its implications in skin aging and UV-induced damage. These studies integrate cell biology, signal transduction, and pathophysiology to uncover novel therapeutic targets for muscle disorders, metabolic diseases, and skin aging.
Professor Thomas H.-K. Kang's research lab specializes in structural engineering with a focus on the strengthening and rehabilitation of reinforced concrete (RC) structures using fiber-reinforced polymer (FRP) composites. The lab investigates bond behavior, debonding failure mechanisms, and interface durability between FRP laminates and concrete substrates. Key research directions include improving the bond strength and serviceability of externally bonded FRP systems, developing predictive models for failure modes, and enhancing the long-term performance of retrofitted RC members under various loading and environmental conditions.
Professor Dan Huang's research lab specializes in epidemiological and clinical studies focusing on the associations between lifestyle factors, gallbladder and biliary tract diseases, and the risk of hepatobiliary and pancreatic cancers (HBPCs). The lab also investigates familial and genetic risk factors for gastric cancer, particularly in high-risk Asian populations, and explores rare malignancies such as cardiac and central nervous system lymphomas. Using large-scale cohort studies and advanced imaging techniques like PET/CT, the lab emphasizes early detection, risk stratification, and tailored interventions for improved patient outcomes.
Professor Gyung-Jin Park's research lab specializes in advanced engineering design and optimization, focusing on multidisciplinary design optimization (MDO), robust design, and structural optimization for automotive and mechanical systems. The lab develops innovative methodologies such as MDO based on independent subspaces (MDOIS), meta-model-based crash optimization, and equivalent static load techniques to address complex, non-linear dynamic problems in vehicle safety and vibration control. Emphasis is placed on integrating axiomatic design, design structure matrix (DSM), and viscoelastic material modeling to enhance product performance, reliability, and manufacturability under uncertainty and real-world loading conditions. The lab’s work bridges theoretical optimization frameworks with practical engineering applications in the automotive and mechanical industries.
Professor Byoung Hoon Lee's research lab specializes in the development and application of advanced organic electronic materials, with a focus on conjugated polyelectrolytes, semiconducting polymers, and graphene-based materials for next-generation optoelectronic and electronic devices. The lab investigates fundamental mechanisms of charge transport, interfacial engineering, and morphology control in organic field-effect transistors and organic solar cells, emphasizing precise tuning of work functions and ion dynamics. Innovative fabrication techniques such as controlled drop-casting and nanogrooved substrate templating are employed to achieve high-performance, flexible, and stable devices. The lab also pioneers residue-free graphene transfer methods and conductive polymer electrodes for transparent and flexible electronics.
Professor Young-Pil Kim's research lab specializes in the development of innovative bio/nanomaterials for biomedical applications, with a strong focus on cancer therapy and disease diagnostics. The lab pioneers advanced photodynamic therapy strategies using smart, self-illuminating systems that eliminate the need for external light, enhancing tumor targeting and reducing side effects. Key research directions include the design of bioluminescence-activated therapeutic systems, protease detection using quantum dot and gold nanoparticle-based sensing platforms, and label-free kinase and glycosylation assays via mass spectrometry imaging. The lab integrates principles of bioconjugation, nanomaterials, and molecular imaging to create sensitive, non-invasive diagnostic tools and targeted therapeutics.
Professor Jong-Seok Lee's research lab specializes in environmental hydraulics, machine learning for data-intensive science, and nanomaterial synthesis. The lab investigates hydraulic resistance in vegetated rivers, develops robust machine learning models for imbalanced data and adversarial attacks in recommender systems, and explores the controlled synthesis of gold nanorods using biochemical and physical parameters. A recurring theme is the integration of empirical field data with advanced statistical and computational modeling to address real-world challenges in hydrology, environmental engineering, and materials science.
Professor Hyung-Ju Cho's research lab focuses on the pathophysiology of airway diseases, particularly chronic rhinosinusitis with nasal polyps (CRSwNP), allergic rhinitis (AR), and cystic fibrosis (CF), with a strong emphasis on epithelial ion transport, mucociliary clearance, and innate immune responses in the nasal and airway epithelia. The lab investigates the role of molecular mediators such as Hsp70, protease-activated receptors (PARs), and calcium signaling in allergic and inflammatory airway disorders, and explores translational insights from porcine models to human disease. They also examine surgical outcomes in upper airway interventions, integrating clinical and basic science approaches to improve therapeutic strategies.
Professor Yoonkey Nam's research lab specializes in developing advanced nanomaterials and bio-integrated devices for neuroscience applications, with a focus on non-genetic, optically controlled neuromodulation. The lab pioneers thermoplasmonic and photothermal stimulation techniques using gold nanostructures to achieve precise, subcellular control of neural activity in vitro and in vivo. Key research directions include the design of microelectrode arrays with patterned surface chemistry to guide neuronal network formation and the engineering of low-cost, cleanroom-free fabrication methods for scalable neural interface platforms. The lab’s work bridges nanotechnology, materials science, and neuroengineering to enable high-resolution, minimally invasive neural interfacing for fundamental neuroscience and potential clinical applications.
Professor Soo-Kyung Cho's research lab specializes in rheumatology and autoimmune diseases, with a strong focus on epidemiology, clinical outcomes, and risk management in conditions such as osteoarthritis, inflammatory myopathy (IIM), rheumatoid arthritis (RA), and primary Sjögren’s syndrome (pSS). The lab investigates disease incidence, prevalence, and long-term outcomes, particularly in aging populations, with an emphasis on identifying risk factors for comorbidities such as malignancies and osteoporosis. Their work integrates claims-based data and clinical registries to improve early diagnosis, treatment strategies, and preventive care in autoimmune and inflammatory diseases.
Professor Jee Hung Kim's research lab focuses on inflammatory biomarkers and their clinical relevance in dermatological and oncological conditions, particularly in psoriasis, psoriatic arthritis, and uveal melanoma. The lab investigates hematological parameters such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and mean platelet volume (MPV) as indicators of disease activity and severity. Additionally, the lab explores personalized treatment strategies in soft tissue sarcoma and differential diagnostic tools using routine hematology parameters like large unstained cells (LUC) in viral skin conditions. The integration of laboratory markers with clinical outcomes supports precision medicine approaches in inflammatory and malignant disorders.
Professor Sujin Yang's research lab focuses on the intersection of cognitive neuroscience, psychiatric disorders, and behavioral health, with a particular emphasis on executive functioning in bilingual children, the impact of digital media on adolescent body image, and the cognitive and psychiatric effects of antipsychotic medications. The lab investigates how neurocognitive functions such as attention, memory, and executive control relate to mental health outcomes, including medication adherence and symptom profiles in schizophrenia. It also explores the mechanisms linking social media use to psychological distress through cognitive-affective pathways. The lab's work bridges developmental psychology, clinical psychiatry, and health behavior research.
Professor Won-Jin Yi's research lab specializes in medical image analysis and intelligent diagnostic systems, focusing on enhancing diagnostic accuracy in dentistry and oral surgery through advanced machine learning and signal processing. The lab develops AI-driven solutions for automatic diagnosis using panoramic radiographs and cone-beam CT, aiming to improve image quality and Hounsfield unit accuracy via deep generative models. Another key direction involves wearable, unobtrusive physiological monitoring, particularly respiratory signal extraction from ECG using wavelet transforms and textile electrodes. The lab also explores robotic and image-guided navigation systems to improve precision in orthognathic surgery.
