世界の主要大学の研究室を探索 — 研究分野と主要論文を一目で確認できます。
Professor Jongho Shin's research lab specializes in educational psychology and developmental psychology, with a primary focus on student motivation, goal orientation, and psychological well-being in academic contexts. The lab investigates how personal, familial, and school-level factors—such as academic self-efficacy, perceived teacher expectations, parental support, and life goals—shape students’ academic achievement, self-concept, and mental health. Using longitudinal and large-scale survey data, the lab employs advanced statistical methods like structural equation modeling and multilevel modeling to explore developmental trajectories and contextual influences on student motivation and well-being across different educational stages.
Professor Sunyoung Han's research lab focuses on STEM education, particularly the integration of project-based learning (PBL) and mathematical modeling in science, technology, engineering, and mathematics curricula. The lab investigates how innovative pedagogical approaches influence student achievement, creative thinking, and career intentions in STEM fields, with a strong emphasis on longitudinal and mixed-methods research. The lab also explores the impact of educational practices such as shadow education on student outcomes, especially in mathematics and sustainability-related competencies. Current research spans from K–12 to post-secondary education, with a growing focus on equity, student motivation, and real-world problem solving.
Professor Sang-goo Lee's research lab specializes in systems and algorithms for efficient data management, with a strong focus on optimizing performance in memory-constrained and storage-optimized environments. The lab explores advanced data structures such as cache-sensitive B+-trees and T-trees to improve database and file system efficiency, particularly in the context of modern hardware characteristics like CPU-memory speed gaps and flash memory limitations. Additionally, the lab investigates machine learning applications in natural language processing and creative design, including novel neural architectures like Gumbel Tree-LSTM and AI-driven garment design systems. The overarching research direction emphasizes intelligent system design that balances performance, scalability, and real-world applicability in both software systems and emerging AI applications.
Professor Yun-Sook Lee's research lab focuses on translational biomedical research with a strong emphasis on vascular biology, immune regulation, and anesthetic pharmacology. The lab investigates molecular mechanisms underlying sepsis and endothelial integrity, explores the role of signaling pathways such as Wnt/β-catenin in T-cell differentiation and autoimmune diseases like rheumatoid arthritis, and examines the clinical impact of anesthetic adjuvants—such as ketamine, lidocaine, and intrathecal opioids—on postoperative outcomes and neurological responses. A recurring theme is the development of targeted therapeutic strategies to improve critical care and surgical anesthesia outcomes.
Professor Young-beom Park's research lab specializes in biomaterials and regenerative medicine, focusing on the development of advanced nanomaterials for bone tissue engineering and therapeutic applications. Key research directions include the synthesis and functionalization of calcium sulfate and titanium dioxide nanotubes for controlled delivery of growth factors and antimicrobial agents, as well as injectable hydrogel systems for critical-sized bone defect repair. The lab also investigates the interplay between industrial and demographic transitions and their impact on labor migration and social policy in Korea, reflecting a multidisciplinary approach combining materials science with socio-economic analysis.
Professor Young Hwan Kim's research spans advanced materials science and geophysical imaging, with a focus on the design and characterization of hyperbranched and dendritic polymers for unique functional properties such as unimolecular micelle behavior and self-assembly into ordered phases like gels and liquid crystals. His work also extends into ultrasonic non-destructive evaluation, where he investigates wave propagation and couplant effects in materials testing. Additionally, he contributes to geophysical research through passive seismic imaging of subduction zones, particularly in Northeast Japan, using ocean-bottom seismometer data to overcome noise and sediment-related challenges. His interdisciplinary approach bridges polymer chemistry, materials engineering, and geophysics.
Professor Gi-su Park's research lab specializes in hypersonic flow physics, with a focus on experimental and computational investigations of high-speed aerodynamics, including near-wake flows, base flows, and shock-boundary layer interactions. The lab conducts fundamental studies on catalytic heat transfer, gas-surface interactions, and combustion phenomena in extreme environments, such as those encountered in planetary entry and re-entry. Key research directions include hypersonic vehicle thermal protection systems, nonequilibrium gas dynamics, and droplet breakup in high-speed flows. The lab employs advanced ground-based facilities such as shock tunnels, expansion tubes, and free-piston shock tunnels to simulate flight conditions at Mach 10 and beyond.
Professor Sumyung Jung's research lab focuses on the molecular mechanisms regulating cell fate decisions, particularly in mesenchymal stem cells (MSCs), with an emphasis on the TGF-β superfamily signaling pathways, including BMP and TGF-β, in development, cancer, and metabolic diseases. The lab investigates key regulators such as Smad4, TAZ, and AKT isoforms in lineage specification, tumor microenvironment modulation, and brown adipose tissue (BAT) thermogenesis. Using integrative 'omics' approaches—transcriptomics, metabolomics, and stable isotope tracing—the lab uncovers novel signaling nodes and post-translational modifications, such as ubiquitination, that fine-tune signaling in health and disease. A central theme is the identification of druggable targets in TGF-β superfamily pathways for cancer therapy and metabolic disorders.
Professor Youngmin Kim's research lab specializes in 3D sensing, computer vision, and interactive acquisition systems for complex environments. The lab focuses on advancing real-time, low-cost 3D scanning and reconstruction techniques—particularly for indoor and urban spaces—by leveraging structured lighting, depth sensors, and semantic understanding. Key research directions include robust data quality assessment during scanning, handling cluttered and repetitive indoor scenes, and developing interactive systems that empower non-experts to accurately capture architectural layouts. The lab also explores cognitive radio spectrum sensing, though this appears to be a more specialized or parallel interest within the broader scope of signal processing and sensing technologies.
Professor Dongha Lee's research lab specializes in machine learning and data science with a focus on time series analysis, representation learning, and generative modeling. The lab develops advanced deep learning frameworks for applications ranging from one-class collaborative filtering and electronic health record synthesis to real-time positioning systems and temporal anomaly detection. Key research directions include self-supervised and weakly supervised representation learning, sequence modeling with attention and autoencoders, and the integration of structural and sequential priors in neural architectures. The lab emphasizes practical, high-precision solutions for real-world problems in healthcare, geospatial systems, and industrial monitoring.
Professor Jeong Seok Choi's research lab specializes in regenerative medicine and head and neck surgery, focusing on mitigating radiation-induced damage in salivary glands and recurrent laryngeal nerves following thyroid surgery. The lab investigates stem cell-based therapies—particularly adipose-derived mesenchymal stem cells (AdMSCs)—and advanced biomaterials such as injectable hydrogels and asymmetric nerve guidance conduits to enhance tissue repair and functional recovery. Key research directions include radioprotection of salivary glands, nerve regeneration using growth factors and platelet-rich plasma, and clinical translation of endoscopic and minimally invasive techniques for salivary disorders.
Professor Yeon-ju Lee's research lab specializes in the design, synthesis, and biological evaluation of functional nanomaterials with a focus on their applications in biomedicine and optoelectronics. The lab investigates nanomaterials such as halloysite nanotubes, carbon nanotubes, gold nanoparticles, zinc oxide nanoparticles, and graphene-based composites, emphasizing their biocompatibility, cellular interactions, and performance in drug delivery, sensing, and energy devices. Key research directions include surface functionalization to enhance dispersibility and reduce cytotoxicity, controlled drug release mechanisms, and the influence of nanoparticle size and surface chemistry on cellular uptake and toxicity. The lab also explores the role of nanomaterials in neuroprotection and cognitive function modulation using in vivo models.
Professor Yunho Kim's research lab specializes in advanced materials and biomedical engineering, with a focus on developing smart composite materials for aerospace applications and innovative medical devices for vascular disease diagnosis and treatment. The lab integrates mechanical testing, numerical modeling, and advanced fabrication techniques—such as electroplating of Pt strain gauges on metal substrates—to enhance structural integrity and functional performance. Additionally, the lab conducts interdisciplinary social science research on public administration, particularly examining public service motivation, government trust, and voting behavior in local governance contexts.
Professor Hoseok Song's research lab focuses on molecular mechanisms underlying DNA damage response and tumor suppression, with a particular emphasis on the roles of ATM kinase, p53, and H2AX in maintaining genomic stability. The lab also investigates the regulatory functions of non-coding RNAs, especially microRNA biogenesis through the Microprocessor complex, using advanced genomics approaches. Additionally, the lab contributes to computational grid research, developing simulation tools to model dynamic resource behavior in distributed computing environments. These interdisciplinary efforts span molecular biology, cancer genetics, and computational systems biology.
Professor Sang-Yup Lee's research lab specializes in the design and synthesis of advanced nanomaterials with tailored structures and functionalities for applications in energy, catalysis, and biomedicine. The lab focuses on creating one-dimensional nanostructures such as semiconductor nanoribbons, metal-organic frameworks (MOFs), and core-shell nanocables through innovative fabrication techniques like thermal evaporation, laser ablation, and self-assembly. A key research direction involves engineering interfacial interactions in nanocatalysts to enhance stability and activity, particularly through strong metal-support interactions (SMSI), while also developing stimuli-responsive nanomaterials for targeted cancer therapy. The lab integrates materials synthesis with detailed characterization and functional evaluation to enable next-generation solutions in sustainable energy and precision medicine.
Professor Jung-geun Lee's research lab specializes in plant stress physiology and biomedical signal engineering, focusing on the physiological and biochemical responses of plants—particularly tomatoes—under abiotic stresses such as heat and salinity, with an emphasis on grafting and rootstock effects. The lab also investigates photoplethysmography (PPG) signal modeling, exploring the interaction between DC and AC components in pulse wave analysis for improved vital sign monitoring. By integrating plant biotechnology with advanced sensing technologies, the lab aims to develop sustainable agricultural practices and non-invasive health monitoring solutions. Recent work includes optimizing PPG sensor placement and evaluating the reuse of waste nutrient solutions in hydroponic systems for sustainable vegetable production.
Professor Jung-Han Lee's research lab focuses on the neurobiological underpinnings of behavioral addictions, particularly Internet gaming disorder and problematic smartphone use, with an emphasis on structural and functional brain abnormalities in adolescents. The lab investigates how impulsivity, emotion regulation, and executive control deficits relate to gray matter volume changes and altered functional connectivity in key brain networks such as the default mode, salience, and executive control networks. Their work combines neuroimaging techniques like voxel-based morphometry and fMRI with clinical and psychological assessments to uncover neural mechanisms underlying addictive behaviors.
Professor Yoo Goo-han's research lab specializes in urological and renal diseases, with a strong focus on molecular mechanisms underlying kidney cancer, bladder dysfunction in neurological disorders, and the epigenetic regulation of gene expression in urological pathologies. The lab investigates DNA methylation patterns—particularly hyper- and hypomethylation—of key genes in clear cell renal cell carcinoma, exploring their associations with clinicopathological features. Additionally, the lab examines genetic polymorphisms in inflammatory cytokines, such as IL10 and its receptors, in relation to benign prostate hyperplasia, particularly in the Korean population. Their work integrates molecular biology, urodynamic studies, and high-throughput genomic technologies to uncover biomarkers and pathophysiological pathways in urological diseases.
Professor Chul Kim's research spans interdisciplinary domains, focusing on the intersection of literature, nationalism, and postcolonial identity in modern Korean history, as well as applied physics in electrohydrodynamic systems. His literary scholarship critically examines colonial-era intellectual movements, such as the 'New Generation' discourse and language nationalism, revealing the contradictions and power dynamics embedded in national identity formation. In parallel, his scientific research investigates ion-neutral collision dynamics and energy conversion processes in microscale electrohydrodynamic flows, with theoretical and numerical modeling supported by experimental validation. His work bridges cultural memory and physical phenomena through rigorous analysis of both historical discourse and nanoscale energy transfer.
Professor MinHyuk Sung's research lab specializes in 3D vision, shape understanding, and deep learning for geometric data. The lab focuses on advancing 3D instance segmentation, shape completion, and CAD-aware reconstruction by leveraging neural networks that emphasize geometric reasoning and structural priors. Key research directions include generative modeling of 3D shapes, end-to-end primitive fitting, and component-based assembly prediction from incomplete or low-quality scans. The lab develops data-efficient, end-to-end frameworks that bridge the gap between raw 3D point clouds and high-level geometric representations.
