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 Seunghan Kim's research lab focuses on innovative medical technologies and gastrointestinal health, with key research directions in endoscopic therapies for obesity, advanced endoscopic imaging techniques such as capsule endoscopy, and pharmacological interventions for gastrointestinal disorders like non-erosive reflux disease and chemotherapy-induced mucositis. The lab also explores the application of programmable robotics in education and biomedical engineering, integrating hands-on learning with embedded systems and real-world problem solving. These interdisciplinary efforts reflect a strong commitment to improving clinical outcomes through technological innovation and translational research.
Professor Yong-Jin Yoo's research lab focuses on the genetic and molecular mechanisms underlying neurodevelopmental disorders, particularly intellectual disability, autism spectrum disorder, and epileptic encephalopathies. The lab investigates disease-causing mutations in ion channels and neurotransmitter transporters—such as AMPA receptors and SLC6A1—linking specific genetic variants to clinical phenotypes. A key direction involves understanding the pathophysiological basis of Rett syndrome and related conditions through whole-exome sequencing and functional validation. The lab also explores cellular therapies, including microglia replacement strategies, to model and potentially treat neurological diseases.
Professor Seung-Hyun Kong's research lab specializes in advanced signal processing and wireless communication systems, with a strong focus on electronic warfare, global navigation satellite systems (GNSS), and vehicular positioning networks. The lab develops innovative techniques for low probability of intercept (LPI) radar signal recognition, fast and sensitive GNSS signal acquisition using compressed sensing, and robust multipath mitigation in urban environments. It also pioneers decentralized detection methods for malicious activities in cooperative vehicular positioning systems, enhancing safety and reliability in intelligent transportation systems. The lab's work bridges theoretical signal modeling with practical applications in defense, navigation, and smart mobility.
Professor Sungwoo Park's research lab specializes in metabolic and liver diseases, with a primary focus on non-alcoholic fatty liver disease (NAFLD), insulin resistance, and their interplay with diabetes and chronic kidney disease. The lab investigates metabolic syndrome, glycemic control markers such as 1,5-anhydroglucitol, and the role of key biological regulators like adiponectin and ACE2 in glucose and renal homeostasis. Using clinical, longitudinal, and cross-sectional studies, the lab explores the impact of lifestyle interventions, pharmacological agents like thiazolidinediones, and innovative healthcare technologies—such as Internet-based diabetes management systems—on disease progression and patient outcomes. A central theme is understanding the pathophysiological links between metabolic dysfunction and organ-specific complications.
Professor Myung Ho Kim's research lab specializes in interdisciplinary studies at the intersection of biomedical engineering, signal processing, and privacy-preserving technologies. The lab focuses on speech emotion recognition using deep learning, particularly improving cross-corpus generalization through advanced neural network architectures like VACNN. It also investigates physiological and psychological responses to environmental stimuli using EEG and HRV, aiming to optimize human-comfort environments. Additionally, the lab addresses critical privacy challenges in data collection, especially in IoT and health informatics, by exploring verifiable anonymity and secure data sharing mechanisms.
Professor Yong-Suk Kwon's research lab specializes in the development of asymmetric catalysis for the stereoselective synthesis of complex organic molecules, with a strong focus on controlling multiple stereogenic elements—such as point chirality, axial chirality, and stereogenic phosphorus centers—within a single transformation. The lab pioneers the use of chiral phosphoric acids and peptidic metal complexes to achieve enantio- and diastereodivergent synthesis, particularly in cyclization and cross-coupling reactions. Their work also extends to the synthesis and optimization of bioactive natural product analogues, especially phenanthroindolizidine and phenanthroquinolizidine alkaloids, for anticancer applications.
Professor Tae-Hoon Noh's research lab specializes in neurosurgical oncology and brain tumor management, with a primary focus on improving outcomes for patients with glioblastoma (GBM). The lab investigates surgical strategies such as lobectomy versus gross-total resection, evaluates the impact of adjuvant therapies like temozolomide and levetiracetam on survival, and explores innovative applications of virtual reality in neurosurgical education and simulation. Additionally, the lab contributes to the understanding of rare neurologic conditions, including malignant transformation of epidermoid cysts and cerebrospinal fluid leak repair techniques.
Professor Dongwook Shin's research lab specializes in information retrieval, natural language processing, and structured data management, with a focus on developing advanced techniques for efficient indexing, query processing, and semantic understanding in complex document environments. The lab explores semantic NLP applications for specialized domains such as disaster health information, aiming to alleviate information overload through intelligent summarization and concept extraction. Additionally, the lab investigates next-generation energy materials, particularly solid-state batteries and sulfide-based electrolytes, for high-performance and safe energy storage solutions. These interdisciplinary efforts reflect a strong emphasis on both data intelligence and materials innovation.
Professor Sung Eun Hong's research lab specializes in computer vision and deep learning, with a focus on real-world visual understanding under challenging conditions such as domain shift, low resolution, and limited training data. The lab develops advanced methods for object detection, face recognition, and cross-modal retrieval, particularly in scenarios involving single-sample-per-person recognition, domain adaptation, and data augmentation. Key research directions include unsupervised domain adaptation, synthetic data generation, and attention-based generative models to improve model robustness and generalization.
Professor Jong-won Lee's research lab focuses on geography education, with a central emphasis on spatial thinking, geospatial technologies, and inquiry-based learning. The lab investigates how Geographic Information Systems (GIS) and emerging technologies—such as open data, big data, and AI—enhance students' spatial reasoning and geographic understanding. It also develops and validates assessment tools, like the Spatial Thinking Ability Test (STAT), to measure and support spatial learning in educational settings. The lab’s work bridges curriculum development, teacher practices, and technological innovation in K–12 and higher education contexts.
Professor Jun-Young Seo's research lab focuses on the multifaceted roles of the host restriction factor viperin in viral infection, cellular metabolism, and metabolic disease. The lab investigates how viruses like human cytomegalovirus subvert host defense mechanisms by manipulating viperin to rewire cellular metabolism—particularly fatty acid oxidation and ATP production—thereby promoting viral replication. A central theme is the dual function of viperin: as an antiviral protein and a metabolic regulator, with emerging roles in adipose tissue thermogenesis and systemic metabolic homeostasis. The lab also explores viperin's intrinsic functions in immune cells and its implications in cancer progression and inflammation.
Professor Young-Hoon Park's research lab specializes in clinical and translational research in hematology and oncology, with a focus on improving patient outcomes through advanced data-driven approaches and evidence-based clinical guidelines. The lab investigates disease prediction using machine learning and deep learning models applied to laboratory data, evaluates prognostic biomarkers such as the Advanced Lung Cancer Inflammation Index (ALI) in lymphomas, and explores treatment efficacy and safety in elderly and special populations with immune thrombocytopenia (ITP) and thrombocytopenia in pregnancy. The lab also contributes to clinical guidelines and investigates viral infections post-allogeneic stem cell transplantation, such as BK virus-associated hemorrhagic cystitis.
Professor Nam-hee Kim's research lab focuses on psychological resilience, trauma-related disorders, and person-centered interventions in clinical and educational settings. The lab investigates the interplay between childhood trauma, attachment insecurity, and mental health outcomes such as post-traumatic stress and dissociation, while also exploring strengths-based approaches like post-traumatic growth and self-determination in students with disabilities. Additionally, the lab examines educational innovation, including flipped learning models and assistive technologies in pedagogy, as well as physical health interventions such as orthotic footwear for adolescent foot health.
Professor Sungeun Kim's research lab specializes in political economy and comparative politics, with a focus on the intersection of economic policy, political institutions, and public opinion. The lab investigates how interest groups, such as labor unions and industrial lobbies, shape political preferences and policy outcomes, particularly in the context of trade, environmental policy, and industrial protectionism. A central theme is the role of state-directed media and government incentives in influencing public perception and economic outcomes, especially in authoritarian and semi-authoritarian regimes. The lab employs rigorous quantitative methods, including regression discontinuity and multilevel modeling, to analyze large-scale roll call votes, survey data, and media content.
Professor Yong Woon Kim's research lab specializes in theoretical and computational soft matter physics, focusing on the interplay of hydrodynamics, electrokinetics, and molecular interactions in complex biological and colloidal systems. Key research directions include the dynamics of active filaments and synthetic cilia, electro-osmotic flows near charged surfaces, and the role of ion structure and correlations in surface interactions. The lab employs advanced simulation techniques—such as Brownian dynamics, Monte Carlo simulations, and Green's function methods—to explore phenomena ranging from membrane bending induced by polymers to stochastic resonance in periodic potentials.
Professor Donghyun Lim's research lab specializes in chemical biology and chemical genetics, focusing on the development of small-molecule tools to modulate critical biological interactions—particularly protein-RNA and protein-microRNA interactions—relevant to cancer and neurodegenerative diseases. The lab pioneers innovative chemical strategies, including bioorthogonal labeling, site-specific protein conjugation, and synthetic methodologies for privileged heterocyclic scaffolds, to enable precise control over key cellular processes. A central theme is the design of high-throughput screening platforms and small-molecule modulators to target disease-relevant pathways, such as Lin28/let-7 in cancer and CRISPR-Cas systems for safer genome editing.
Professor Gi-Chung Park's research lab focuses on understanding the molecular mechanisms underlying aggressive thyroid cancers, particularly anaplastic thyroid cancer (ATC) and advanced papillary thyroid cancer (PTC), with an emphasis on cancer stem cells, tumor microenvironment stress responses, and epigenetic regulation. The lab investigates molecular subtypes, drug resistance mechanisms, and the development of targeted therapies using HDAC inhibitors (e.g., HNHA), tyrosine kinase inhibitors (e.g., lenvatinib, sorafenib), and novel treatment strategies such as sequential therapy (SoLAT). Integrative 'omics' approaches—genomic, proteomic, and transcriptomic—are central to identifying therapeutic vulnerabilities in treatment-resistant cancers. The lab also explores metabolic stress adaptation in cancer stem-like cells, particularly calcium-dependent survival pathways under nutrient deprivation.
Professor Kyung Nam Kim's research lab specializes in sustainable energy systems, with a focus on photovoltaic technology integration, renewable energy policy, and the circular economy applications of electric vehicle batteries. The lab investigates innovative financing mechanisms such as green bonds and real options to enhance the economic viability of large-scale solar projects, including floating PV and solar city initiatives. It also explores the reuse of lithium-ion batteries from electric vehicles in residential energy storage systems, particularly in emerging economies, to support energy transition and grid stability.
Professor Seung-won Hwang's research lab specializes in scalable and efficient data management systems, with a focus on optimizing query processing in large-scale, distributed environments such as web middleware and search engines. The lab investigates ranked and exploratory query processing, information retrieval, and the integration of language models as implicit knowledge bases to address challenges like information overload and high-latency response times. A key research direction involves cost-optimized access strategies for heterogeneous data sources and dynamic result categorization to improve user experience in ad-hoc querying scenarios. The lab also explores the practical deployment and continual updating of large language models for knowledge-intensive applications.
Professor Byungho Oh's research lab specializes in dermatological imaging and molecular diagnostics, focusing on advancing non-invasive skin cancer detection and improving diagnostic accuracy through artificial intelligence. The lab develops convolutional neural networks (CNNs) for early detection of acral melanoma using dermoscopic images, while also exploring molecular techniques like nested PCR and RFLP for precise identification of skin-resident microbes such as Malassezia species. Additionally, the lab investigates the efficacy and safety of fractional laser therapies in Asian patients, emphasizing cosmetic and functional outcomes in dermatological reconstruction. Their work bridges clinical dermatology, medical imaging, and biotechnology to enhance patient care and treatment personalization.
