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 Oh Chae Kwon's research lab specializes in fundamental combustion science, with a focus on laminar premixed flame dynamics, flame stretch effects, and the measurement of unstretched laminar burning velocities in hydrocarbon-air mixtures. The lab investigates flame behavior under varying pressures, equivalence ratios, and oxygen concentrations, emphasizing the influence of flame stretch on combustion stability and propagation. Their work contributes to the development of accurate combustion models for internal combustion engines and gas turbines. The research also explores the Markstein number as a key parameter in understanding flame instability and extinction.
Professor Thanh Luan Phan's research lab specializes in the design, synthesis, and integration of two-dimensional (2D) materials and nanostructured heterostructures for next-generation nanoelectronics and optoelectronics. The lab focuses on van der Waals heterostructures, including metal/semiconductor and 0D-1D-2D vertical heterojunction devices, to achieve ultra-small, high-performance electronic and photonic components. Key research directions include controlled doping of transition metal dichalcogenides, scalable and contamination-free growth techniques, and innovative device architectures such as vertical field-effect transistors and hybrid light-absorbing structures. The lab also pioneers advanced fabrication methods for molecular-scale junctions and high-efficiency photodetectors using 2D materials and carbon nanotubes.
Professor Eun-Ju Lee's research lab specializes in the intersection of neuroscience, artificial intelligence, and consumer behavior, focusing on how psychological and neurobiological mechanisms shape human interactions with technology and health care providers. The lab investigates consumer trust, decision-making, and well-being in digital and medical contexts, particularly through the lenses of personalization, anthropomorphism, and ecological consciousness. Using interdisciplinary methods such as fMRI, ERP, and behavioral experiments, the lab explores implicit attitudes, emotional responses, and ethical implications in human-computer and human-AI interactions. A key focus is understanding how individual differences—such as gender identity or loneliness—affect trust and prosocial behavior in digital environments.
Professor Joo Sang Lee's research lab specializes in computational and translational cancer biology, focusing on identifying key biological variables that govern response to immune checkpoint inhibitors across diverse tumor types. The lab develops data-driven computational frameworks—such as ISLE (Identification of Clinically Relevant Synthetic Lethality)—to prioritize promising synthetic lethal interactions with high translational potential from large-scale 'omics' and drug response datasets. By integrating multi-omics data from The Cancer Genome Atlas (TCGA) and validating predictions through experimental screening and preclinical models, the lab aims to uncover context-specific therapeutic vulnerabilities in cancer. Their work bridges systems biology, precision oncology, and drug discovery to accelerate the development of effective, personalized cancer therapies.
Professor Nong-Moon Hwang's research lab specializes in the development and characterization of advanced ceramic and oxide-based thin films and coatings for high-performance electronic and semiconductor applications. The lab focuses on understanding and controlling the growth mechanisms of nanostructures and thin films via chemical vapor deposition (CVD) and plasma spraying techniques, with particular emphasis on phase equilibria, charged nanoclusters, and plasma-resistant materials. Key research directions include the synthesis of novel oxides such as yttrium oxyfluoride (YOF) coatings for use in dry etching chambers of 3D semiconductor devices, and the fundamental study of growth dynamics involving gas-phase nuclei and phase transitions in complex oxide systems.
Professor Dae Woo Kim's research lab focuses on the immunological and inflammatory mechanisms underlying chronic rhinosinusitis with nasal polyps (CRSwNP), with particular emphasis on innate immune responses, cytokine signaling (especially IL-33), and neutrophilic inflammation. The lab investigates the role of neutrophil extracellular traps (NETs) in airway pathologies and explores imaging biomarkers—such as preoperative CT findings in the olfactory cleft—for predicting postoperative olfactory outcomes. Additionally, the lab contributes to the development of targeted biologic therapies by defining disease endotypes to improve precision medicine in refractory CRS.
Professor Kyoung Mu Lee's research lab specializes in computer vision and deep learning, with a focus on advancing interactive and weakly supervised image segmentation techniques. The lab develops intelligent systems that leverage deep reinforcement learning to minimize human input while maximizing segmentation accuracy, enabling robust and consistent object extraction. Key research directions include few-shot and interactive learning, semantic understanding in medical and natural images, and the design of efficient, user-friendly AI tools for real-world applications.
Professor Mehdi Ostadhassan's research lab specializes in advancing predictive modeling and materials science within petroleum engineering and energy applications. The lab focuses on developing machine learning and artificial intelligence techniques to improve the accuracy of reservoir property predictions—such as water saturation and dead oil viscosity—while also exploring novel functional materials like four-fold coordinated Prussian blue analogs for next-generation energy storage. The integration of data-driven methods with fundamental physical and chemical principles defines the lab’s interdisciplinary approach to solving complex challenges in hydrocarbon recovery and sustainable energy technologies.
Professor Duy Thanh Nguyen's research lab specializes in energy-efficient computing and smart grid technologies, with a focus on optimizing deep learning accelerators and demand response systems in power networks. The lab develops hardware-software co-design solutions for convolutional neural networks, emphasizing low-power, high-throughput FPGA-based accelerators through techniques like weight binarization and mixed-precision computation. It also pioneers market mechanisms—such as the Demand Response Exchange (DRX)—to enable efficient, fair, and flexible trading of demand response in deregulated power systems. The lab uniquely bridges artificial intelligence and power systems, leveraging error tolerance in deep learning to design energy-aware memory architectures.
Professor Sangjin Kim's research lab specializes in energy-efficient computing architectures, with a focus on in-memory computing (IMC), neural network processing, and advanced signal/image processing. The lab explores innovative hardware solutions—such as SRAM, DRAM, and NVM-based CIM processors—for accelerating deep learning and 3D point cloud processing, emphasizing high performance, low power consumption, and system-level integration. Key research directions include novel memory management, adaptive signal processing, and depth estimation using multi-aperture imaging. The lab also investigates efficient algorithms and architectures for real-time AI applications in resource-constrained environments.
Professor Ji-Man Kang's research spans plant molecular biology, immunology, and biomedical engineering. Her lab investigates the regulatory roles of glutamate receptor-like proteins in plant metabolism and stress responses, particularly in carbon and nitrogen homeostasis and abscisic acid signaling. She also explores immune cell dynamics in intestinal transplantation, focusing on innate lymphoid cells and their role in barrier function and graft rejection. Additionally, her work extends into biomedical optics, developing advanced photonic devices for next-generation communication systems. These diverse yet interconnected research directions highlight her expertise in systems biology, translational immunology, and optical technology innovation.
Professor Dong Min Shin's research lab focuses on cellular signaling mechanisms, particularly calcium homeostasis and its role in immune response and bone metabolism. The lab investigates how intracellular signaling pathways—especially those involving calcium, reactive oxygen species (ROS), and transcription factors like NFATc1—affect cellular processes such as autophagy, inflammation, and cell death in macrophages and osteoclasts. A key emphasis is placed on understanding host-pathogen interactions, particularly in Mycobacterium tuberculosis infection, and the regulation of Ca2+ signaling by scaffolding proteins like Homer in secretory cells. The lab also explores therapeutic targets in diseases involving dysregulated calcium signaling, such as osteoporosis and cancer.
Professor Young-Soo Yoon's research lab specializes in advanced cementitious materials, with a primary focus on ultra-high-performance fiber-reinforced concrete (UHPFRC) and ultra-high-performance fiber-reinforced cementitious composites (UHPFRCC). The lab investigates the mechanical behavior of these materials under diverse loading conditions—such as flexure, shear, torsion, impact, and blast—while emphasizing fiber-matrix interface performance and hybrid fiber reinforcement systems. Recent work also explores sustainable recycling of industrial by-products, particularly steel-making slag, to enhance the environmental and mechanical performance of concrete. The lab combines experimental testing with advanced numerical simulations, including nonlinear finite element analysis, to develop predictive models for structural behavior.
Professor Yong-Sang Ryu's research lab specializes in advanced nanoscale characterization and manipulation of soft matter systems, with a focus on membrane dynamics, nanoplastics analysis, and terahertz photonics. The lab develops innovative analytical platforms to probe ultra-low concentration nanoplastics in environmental systems and investigates the role of lipid rafts in membrane curvature and vesicular trafficking using model membrane systems. By integrating microfluidics, dielectrophoresis, Raman spectroscopy, and metasurface-enhanced terahertz sensing, the lab enables real-time, label-free detection of nanoscale phenomena in complex aqueous environments. Their work bridges fundamental biophysics with environmental and analytical challenges, particularly in detecting and understanding submicron and nanoplastic pollutants.
Professor Won Chul's research lab specializes in emergency medicine and healthcare systems optimization, with a strong focus on improving emergency department (ED) efficiency and patient outcomes. The lab investigates ED crowding, patient safety, and clinical decision support through data-driven approaches, including machine learning and real-time dashboards. Key research directions include predicting critical events like cardiac arrest, developing multidisciplinary care models for advanced cancer patients, and implementing innovative health information systems to enhance clinical workflows. The lab emphasizes practical, user-centered solutions with real-world implementation and validation.
Professor Won-Jin Kim's research lab specializes in biofabrication and regenerative medicine, focusing on developing advanced bioprinting technologies to engineer complex 3D tissue constructs. The lab integrates functional biomaterials—such as collagen, decellularized extracellular matrix, and nanomaterials like gold nanowires—with electric field stimulation to guide cell alignment, differentiation, and tissue organization. Key research directions include the fabrication of anatomically accurate microfibrillar structures mimicking skeletal muscle, intestinal villi, and vascularized tissues for applications in organ-on-a-chip and regenerative therapy. The lab emphasizes enhancing printability, mechanical stability, and biological functionality of composite bioinks to support high cell viability and tissue maturation.
Professor Ju-Hyung Kim's research lab specializes in construction management, smart urban development, and sustainable infrastructure, with a strong focus on integrating advanced technologies such as Building Information Modeling (BIM), data analytics, and evolutionary game theory to enhance project efficiency, productivity, and environmental performance. The lab investigates intelligent systems for program and progress management in large-scale construction and urban renewal projects, emphasizing decision support, cost optimization, and stakeholder collaboration. Research directions include BIM-based error cost analysis, productivity benchmarking across nations, green retrofit strategies, and user-centric design in post-pandemic built environments.
Professor Gheun-Ho Kim's research lab focuses on renal transport physiology, with a primary emphasis on the molecular mechanisms underlying sodium, chloride, and ammonium transport in the nephron. The lab investigates the regulation of key transporters—such as the thiazide-sensitive Na-Cl cotransporter (TSC), Na-K-2Cl cotransporter (NKCC2), and aquaporin-2 (AQP2)—in response to hormonal signals (e.g., aldosterone, vasopressin) and pathological conditions (e.g., nephrogenic diabetes insipidus, acute kidney injury). Using advanced techniques like affinity-purified antibodies, immunoblotting, and immunocytochemistry, the lab explores how alterations in transporter expression contribute to electrolyte and fluid homeostasis, particularly in disease states.
Professor Tae-Hwan Kim's research lab focuses on the intersection of immunology, microbiology, and herbal medicine, with a particular emphasis on the pathogenesis of inflammatory diseases such as ankylosing spondylitis and reactive arthritis, where HLA-B27 and microbial interactions play a central role. The lab also investigates the therapeutic potential of traditional herbal medicines, especially Korean and mountain ginseng, in treating conditions like erectile dysfunction, using rigorous clinical and physiological approaches. Research spans from molecular mechanisms of immune response to translational studies in human health. The lab integrates molecular tracing techniques, such as 15N labeling, to study plant stress responses, particularly in nitrogen metabolism and osmoprotectant accumulation under drought stress.
Professor Deepak Kukkar's research lab specializes in the development and application of advanced functional materials for environmental sustainability and health safety. The lab focuses on designing novel nanomaterials—particularly metal-organic frameworks (MOFs), graphene-based materials, and biogenic nanoparticles—for the detection, removal, and remediation of environmental pollutants such as pesticides, volatile organic compounds (VOCs), and formaldehyde. A key emphasis is placed on creating low-cost, portable, and highly sensitive sensing platforms for on-site monitoring of hazardous chemicals, alongside exploring green synthesis routes for sustainable nanomaterial production. The lab also investigates bioaerosol sensing, addressing critical gaps in the detection of airborne pathogens and particulates.
