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 Sang-Kook Han's research lab specializes in visible light communication (VLC) and high-precision indoor positioning systems, focusing on integrating VLC with three-dimensional localization using LED transmitters and image sensors. The lab develops advanced signal processing algorithms based on received signal strength indication (RSSI) and image-based trilateration to achieve centimeter-level accuracy in diverse indoor environments. Key research directions include interference mitigation through subcarrier multiplexing, real-time positioning with minimal hardware, and optimizing system performance across varying room heights and geometries. The lab emphasizes practical applications in smart buildings, IoT, and location-based services.
Professor Dae Ryong's research lab specializes in molecular mechanisms underlying diabetic complications, with a primary focus on diabetic nephropathy, insulin resistance, and metabolic inflammation. The lab investigates key signaling pathways such as NF-κB, endocannabinoid system, VEGF, PPARs, and aldosterone in type 2 diabetic animal models, particularly db/db mice and OLETF rats. Current research directions include identifying therapeutic targets through pharmacological modulation of these pathways to ameliorate renal, cardiac, and metabolic dysfunctions in diabetes. The lab also explores genetic polymorphisms, such as the VEGF 936 C/T variant, in relation to diabetic microvascular complications.
Professor Gunhee Jang's research lab specializes in the dynamic analysis and design optimization of rotating machinery components, with a strong focus on magnetic and fluid film bearings, brushless DC motors, and rotor-bearing systems. The lab employs advanced numerical methods such as the finite element method (FEM) and finite volume method (FVM) to model complex fluid-structure interactions, including hydrodynamic lubrication, cavitation effects, and nonlinear contact forces. Key research directions include the dynamic characterization of hydrodynamic and ball bearings, sensorless motor control, and the influence of geometric imperfections—such as waviness and groove patterns—on system performance and vibration. The lab emphasizes both theoretical modeling and experimental validation, particularly in precision applications like hard disk drive spindles and high-efficiency electric machines.
Professor Young Cheol Yoon's research lab specializes in medical imaging and radiological diagnostics, with a focus on advanced cross-sectional imaging techniques such as PET, CT, and MRI for accurate disease detection and characterization. The lab investigates the diagnostic performance of imaging modalities in oncology—particularly in esophageal and lung cancers—while also exploring functional and quantitative MRI applications, including electrical properties tomography and fat fraction quantification in neuromuscular and musculoskeletal disorders. A key research direction involves understanding the impact of physiological factors like obesity and exercise on imaging biomarkers and clinical outcomes.
Professor Young Hoon Roh's research lab specializes in the development of advanced nucleic acid-based nanomaterials for biomedical applications, with a focus on DNA and RNA nanotechnology. The lab pioneers innovative strategies to engineer DNA and RNA into functional polymeric structures—such as DNA microsponges, DNAsomes, and multi-component RNAi delivery systems—enabling precise control over size, charge, and molecular stoichiometry. Key research directions include stimuli-responsive drug delivery, co-delivery of therapeutic nucleic acids (e.g., siRNA, antisense ODNs), and the design of biomimetic nanostructures for enhanced targeting and efficacy in cancer therapy and gene regulation. The lab integrates enzymatic synthesis, self-assembly, and materials engineering to create multifunctional platforms for next-generation therapeutics.
Professor Ji Hye Hwang's research lab specializes in digital health and rehabilitation sciences, focusing on innovative, technology-driven solutions for musculoskeletal and lymphatic disorders. The lab investigates the efficacy of augmented reality (AR)-based telerehabilitation systems, such as UINCARE Home+, in improving functional outcomes after orthopedic and oncologic surgeries, including rotator cuff repair and breast cancer surgery. It also explores the use of medical imaging and biomechanical assessment to evaluate and predict treatment responses in conditions like lymphedema and foot deformities. A key research direction involves understanding the genetic and clinical factors influencing musculoskeletal pathologies, such as accessory navicular bone and post-surgical shoulder stiffness.
Professor Sojung Park's research lab focuses on advancing clinical and environmental applications of biomedical and atmospheric modeling. The lab investigates innovative diagnostic and therapeutic strategies for lung cancer and acute respiratory distress syndrome (ARDS), emphasizing molecular testing, symptom management, and biomarker evaluation. Additionally, the lab contributes to improving numerical weather prediction through optimization of land surface and cloud microphysics schemes in regional climate models. These interdisciplinary efforts bridge clinical oncology, respiratory medicine, and environmental science with a strong emphasis on translational and data-driven solutions.
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.
Professor Dong Hae Shin's research lab specializes in structural biology and biochemistry, focusing on the molecular mechanisms of viral proteases and enzyme function in pathogenic microorganisms. The lab investigates antiviral compounds, particularly flavonoids, that inhibit key viral enzymes such as 3C-like proteases (3CLpro) from coronaviruses including SARS-CoV, MERS-CoV, and SARS-CoV-2. Using techniques like X-ray crystallography, fluorescence-based binding assays, and structural analysis, the lab aims to identify and characterize potential therapeutic candidates. Additionally, the lab explores the structural and functional properties of bacterial enzymes, such as GTPases and phosphatases, contributing to understanding fundamental cellular processes and antimicrobial targets.
Professor Hyun-Sook Pai's research lab focuses on the molecular mechanisms regulating plant cell death, cell cycle control, and proteostasis, with a particular emphasis on the roles of the ubiquitin-proteasome system, cell cycle regulators like Rb, and calcium-signaling proteases such as calpain. The lab employs virus-induced gene silencing (VIGS) and molecular genetic approaches in model plants like *Nicotiana benthamiana* and *Arabidopsis thaliana* to dissect the functions of key regulatory proteins in development and stress responses. Their work reveals critical connections between protein degradation, cell cycle progression, and programmed cell death in plants.
Professor Jin Woo Choi's research lab specializes in brain-computer interfaces (BCIs) and human-computer interaction, with a focus on developing non-invasive neural signal analysis systems for individuals with motor disabilities. The lab explores real-time neural signal processing using EEG and EOG to enable intuitive control of assistive technologies, such as brain-controlled mobility systems and drone navigation. By integrating immersive virtual reality and electroencephalography, the lab investigates how embodied mental imagery and environmental feedback enhance motor imagery-based BCI performance. The research also extends to real-time human action recognition using computer vision for surveillance and rehabilitation applications.
Professor Mitra Ghergherehchi's research lab specializes in theoretical and computational materials science, focusing on the design and characterization of novel two-dimensional and nanostructured materials. The lab explores the structural, electronic, magnetic, and thermoelectric properties of low-dimensional systems such as transition metal dichalcogenides, chalcogenide alloys, and van der Waals heterostructures using first-principles density functional theory. Key research directions include defect engineering, spintronics, and energy-related applications such as hydrogen production and thermoelectric conversion. The lab also investigates the effects of external stimuli like electric fields and strain on material functionality, aiming to tailor materials for advanced electronic and spintronic devices.
Professor Tae-Young Yoon's research lab focuses on the molecular mechanisms underlying intracellular membrane trafficking and cancer cell signaling, with a particular emphasis on SNARE-mediated membrane fusion and the role of receptor tyrosine kinases like MerTK in glioblastoma progression. The lab employs advanced single-molecule and single-vesicle imaging techniques to visualize dynamic fusion intermediates in real time, providing mechanistic insights into fundamental cellular processes. Additionally, the lab investigates how dysregulated signaling pathways, especially those involving MerTK, contribute to tumor invasiveness and therapy resistance in brain cancer. These studies aim to identify novel therapeutic targets for aggressive cancers.
Professor In Kim's research lab specializes in regenerative medicine and biomedical engineering, focusing on stem cell biology, tissue engineering, and gene therapy for neurological and dermatological disorders. Key research directions include the development of stem cell-derived therapies using transgene-free reprogramming, the application of bioactive factors and conditioned media to enhance tissue regeneration, and the design of injectable biomaterials for surgical adhesion prevention. The lab also investigates molecular mechanisms underlying cancer therapy response and rare disease modeling, with translational applications in hair regeneration, glioma treatment, and neural repair.
Professor Sung-Chul Kim's research lab specializes in advanced optoelectronic devices and energy systems, with a strong focus on fiber optic sensors, thin-film transistors, and thermal energy storage technologies. The lab investigates the fundamental mechanisms governing device performance, including electrical stability in oxide semiconductors and wavelength interrogation techniques using fiber gratings. It also explores practical applications in sustainable energy solutions, such as phase-change materials for latent heat storage and pandemic-resilient construction protocols. The lab bridges materials science, photonics, and energy engineering to develop innovative, cost-effective, and stable technologies for real-world deployment.
Professor Young-Eun Lee's research lab specializes in brain-computer interfaces (BCIs) and neural signal processing, with a focus on translating brain activity—particularly imagined and overt speech—into speech output using non-invasive electroencephalography (EEG). The lab develops advanced deep learning models, such as transformer-based architectures and hybrid neural networks, to decode complex neural patterns and improve the accuracy and naturalness of speech reconstruction. A key emphasis is on robustness in real-world conditions, including artifact removal from noisy EEG signals and adapting models trained on spoken speech to imagined speech. The lab also explores applications in mobile and wearable BCI systems, integrating multimodal data from EEG, inertial sensors, and eye tracking for dynamic environments.
Professor Hyuk Sung Kwon's research lab focuses on the intersection of neuroinflammation, neurodegenerative diseases, and cerebrovascular pathology, with a particular emphasis on understanding the role of glial cell heterogeneity in neurodegeneration and small vessel disease. The lab investigates biomarkers such as plasma p-tau181, NfL, and APOE ε4 status to predict amyloid pathology and cognitive decline, especially in aging and young-onset stroke populations. They also explore the clinical implications of autoimmune encephalitis, including anti-NMDAR encephalitis, in the context of viral infections like COVID-19. Their work bridges clinical neurology, biomarker discovery, and translational neuroscience to improve early diagnosis and risk stratification.
Professor Yong-Chae Chung's research lab specializes in computational materials science and nanomaterials design, focusing on the development of advanced functional materials for sustainable energy applications. The lab employs first-principles density functional theory (DFT) calculations to explore and optimize the electronic, structural, and catalytic properties of 2D materials, transition metal carbides (MXenes), and doped nanomaterials. Key research directions include designing high-performance electrocatalysts for water splitting, enhancing hydrogen storage capacity through electric field engineering, and improving the stability and performance of materials for lithium-sulfur batteries. The lab also investigates the effects of external stimuli such as electric fields and surface functionalization on material properties at the atomic level.
Professor Eui Jin Hwang's research lab specializes in the development and clinical validation of deep learning algorithms for medical imaging, with a primary focus on chest radiography. The lab investigates artificial intelligence applications in detecting thoracic diseases such as tuberculosis, pneumonia, and COVID-19, aiming to enhance diagnostic accuracy and efficiency in emergency and resource-limited settings. A key research direction involves evaluating the real-world performance of AI tools in clinical workflows, emphasizing their integration, interpretability, and impact on patient outcomes. The lab also explores computer-aided detection systems to support non-expert clinicians and improve diagnostic triage in underserved environments.
Professor Wonseok Kang's research lab specializes in non-invasive diagnostic methods for chronic liver diseases, with a focus on improving the accuracy and clinical utility of elastography and biomarker-based approaches. The lab investigates the integration of imaging techniques like transient elastography (FibroScan) with clinical and laboratory parameters to enhance the detection of liver fibrosis and cirrhosis, reducing reliance on invasive procedures. A key research direction involves understanding the immunological and inflammatory mechanisms in chronic hepatitis C, particularly the role of chemokines in viral persistence and immune response modulation. The lab also explores novel combinations of non-invasive tools, such as LSM (elastography) and API (APRI), to optimize patient stratification and management in chronic liver disease.
