探索全球顶尖大学的研究室——研究领域与主要论文一览无余。
Professor Taebeom Ahn's research lab focuses on the neurobiological and metabolic underpinnings of neurodegenerative diseases, particularly Parkinson’s disease (PD) and multiple system atrophy (MSA). The lab investigates genetic factors such as SNCA gene duplication, gut-brain axis interactions via short-chain fatty acids, and the role of polyunsaturated fatty acids in disease progression. It also explores neuroimaging biomarkers, including dilated Virchow-Robin spaces and the cord sign, to improve early diagnosis and understanding of pathological mechanisms in parkinsonism. The research integrates clinical, metabolic, and neuroimaging approaches to uncover novel pathways and diagnostic markers in movement disorders.
Professor Tae Hoon Kim's research lab focuses on the molecular mechanisms underlying upper airway inflammatory diseases, with a particular emphasis on allergic rhinitis, chronic rhinosinusitis, and nasal polyposis. The lab investigates the interplay of genetics, epigenetics, oxidative stress, and the nasal microbiome in disease pathogenesis, while also exploring innovative drug delivery strategies via the nasal route. Current research directions include the role of prostaglandins, redox imbalance, and immune modulation through microbiota and host interactions.
Professor Do Sun Bai's research lab specializes in reliability engineering, statistical quality control, and accelerated life testing, with a strong focus on developing advanced statistical methodologies for life data analysis under stress conditions. The lab investigates optimal test designs for accelerated life tests—particularly step-stress and partially accelerated life tests—under various censoring schemes and distributional assumptions, such as Weibull and exponential distributions. A key research direction involves improving statistical inference and process capability assessment for skewed populations through innovative control charts and capability indices based on weighted variance and deviation decomposition. The lab also emphasizes practical applications in industrial quality control and product reliability by integrating theoretical rigor with real-world data analysis and simulation-based validation.
Professor Suk Kyung Lee's research lab specializes in next-generation wireless communication networks and optical networking, with a focus on enhancing network performance, resource efficiency, and energy saving in heterogeneous and vehicular networks. The lab investigates critical challenges such as burst contention in optical burst switching (OBS), dynamic routing protocols, and interference management in small cell-based heterogeneous networks (HetNets). It also explores energy-efficient communication mechanisms, particularly power-saving techniques that leverage cellular network paging in WLAN environments. The lab's work bridges theoretical modeling with practical system design to support high-bandwidth, real-time, and reliable connectivity for future mobile and vehicular applications.
Professor Hyang Sook Kim's research lab focuses on health communication, user experience in emerging technologies, and psychological assessment in diverse populations. The lab investigates how digital interfaces—such as online health message boards and autonomous vehicle displays—affect user trust, credibility perception, and behavioral intentions. It also explores individual differences in career development and mental health, particularly through the lens of proactive personality and suicide risk factors. Additionally, the lab contributes to food science by analyzing the biochemical and functional properties of various soybean varieties for nutritional and health applications.
Professor Hee-Kwon Kim's research lab specializes in computational and molecular biology, focusing on CRISPR-Cas9 genome editing efficiency prediction and the mechanisms of unconventional protein secretion. The lab develops deep learning models, such as DeepSpCas9, to predict SpCas9 activity across diverse genomic targets, enabling precise and efficient genome engineering. Additionally, the lab investigates cellular pathways involved in stress-induced protein trafficking, particularly the role of retromer complexes like VPS26A and SNX27 in rescuing misfolded membrane proteins, with implications for diseases like cystic fibrosis and COVID-19. Their work bridges bioinformatics, structural biology, and translational medicine to uncover molecular mechanisms underlying human genetic and protein-misfolding disorders.
Professor Jae-Hee Chung's research lab specializes in consumer behavior, with a focus on cross-cultural and collectivist consumer motivations, particularly in East Asian contexts. The lab investigates how cultural values—such as Confucian principles like face-saving and group conformity—influence purchasing decisions, especially regarding organic, imported, and health-related products. It also explores the dynamics of market orientation, supplier relationships, and cultural hybridity in globalized consumer markets, using advanced models like the Theory of Reasoned Action, Theory of Planned Behavior, and Health Belief Model. The lab emphasizes empirical research through surveys and structural equation modeling to understand behavioral intentions and satisfaction in retail and supply chain contexts.
Professor Cheol-Sik Kim's research lab specializes in metabolic diseases, with a primary focus on type 2 diabetes and obesity. The lab investigates the pathophysiological mechanisms underlying insulin resistance, adipokine profiles, and body fat distribution, particularly examining the role of adiponectin in diabetic and non-diabetic obese individuals. It also explores personalized treatment strategies, including pharmacogenomics of DPP-4 inhibitors and telemedicine-based insulin dose management using mobile technology.
Professor Yong Il Kim's research lab specializes in remote sensing and deep learning, focusing on advancing image analysis techniques for environmental and urban monitoring. The lab develops innovative deep learning architectures—such as Re3FCN, MSMLA-Net, and hybrid U-net models—tailored for hyperspectral, thermal, and high-resolution satellite imagery, with applications in change detection, land cover classification, and disaster assessment. Key research directions include multi-scale feature extraction, attention mechanisms, and data-efficient learning to address challenges in limited training data and sensor resolution trade-offs.
Professor Taesup Kim's research lab specializes in advancing machine learning through probabilistic modeling, few-shot and meta-learning, and robust deep learning. The lab focuses on developing Bayesian and uncertainty-aware methods for few-shot learning, leveraging graph neural networks and variational inference to model complex uncertainty beyond simple approximations. It also explores efficient and robust deep learning techniques, including automated data augmentation and adversarial defense mechanisms, with applications in real-world scenarios such as conversational AI and vision. The lab emphasizes scalable, differentiable, and principled approaches that bridge theory and practical deployment.
Professor Lee Dae Won's research lab specializes in translational oncology and biomedical engineering, focusing on the molecular mechanisms of cancer progression and the development of advanced therapeutic strategies. The lab investigates tumor microenvironment dynamics, immune checkpoint regulation, and genomic alterations in colorectal and breast cancers, with an emphasis on identifying prognostic biomarkers and improving treatment outcomes. It also explores innovative control systems for biomedical robotics, particularly in autonomous aerial vehicles, to support precision medicine applications. The integration of computational modeling, next-generation sequencing, and clinical trial data defines the lab’s interdisciplinary approach.
Professor Seung-Jae Shin's research lab specializes in computational and electrochemical materials science, focusing on the atomic-scale design of electrocatalysts and energy storage materials. The lab investigates the electric double layer structure and its impact on electrochemical reactivity, particularly in reactions such as CO2 reduction and zinc-ion battery cycling. Using first-principles simulations, the group uncovers the role of ion speciation, hydration structure, and interfacial electronic effects in determining reaction mechanisms and performance. Their work bridges molecular-level simulations with experimental electrochemistry to guide the development of efficient, stable, and selective electrochemical interfaces.
Professor Soojin Lee's research lab focuses on organizational behavior and leadership, with a particular emphasis on the dynamics of leader-member relationships, the impact of leadership styles on employee outcomes, and the role of interpersonal and contextual factors in shaping work attitudes and performance. The lab investigates key themes such as empowering and abusive leadership, social exchange processes, work-family conflict, and knowledge sharing, often integrating theoretical frameworks like social exchange theory, conservation of resources theory, and dual task processing. Research is primarily based on empirical surveys and qualitative analyses from South Korean organizational contexts, with a strong focus on psychological and relational mechanisms in the workplace. The lab also explores how individual differences—such as learning orientation and promotion focus—influence responses to leadership and organizational stressors.
Professor Sang-sun Han's research lab specializes in advanced dental imaging and diagnostic methodologies, focusing on improving the accuracy and clinical utility of medical imaging in maxillofacial disorders. The lab investigates the diagnostic value of cone-beam CT (CBCT) and magnetic resonance imaging (MRI) in temporomandibular joint (TMJ) disorders, with an emphasis on correlating imaging findings with clinical symptoms. Key research directions include optimizing digital workflows for prosthetic applications using CBCT-derived models and developing objective, quantitative tools for assessing jaw kinematics. The lab also explores rare anatomical variations, such as the retromolar canal, to enhance surgical safety and patient outcomes.
Professor Sang-Mok Lee's research lab specializes in advanced materials and optical communication systems, with a strong focus on polymer blends for sustainable materials and high-capacity optical access networks. The lab investigates the thermal, rheological, and mechanical behaviors of biodegradable polymer composites such as PLA/PBSA blends, aiming to develop eco-friendly materials with tailored properties. Concurrently, the lab pioneers innovative passive optical network (PON) technologies, particularly wavelength-division-multiplexing (WDM and DWDM) systems using wavelength-locked Fabry-Pérot laser diodes to enable long-reach, high-capacity, and energy-efficient fiber-optic communication. The integration of statistical manifold-based image analysis further extends their work into intelligent signal processing and pattern recognition.
Professor Jong-Bum Kwon's research lab focuses on the molecular mechanisms underlying genome stability, chromatin remodeling, and inflammatory signaling in cancer and neuroinflammatory diseases. The lab investigates the roles of deubiquitinating enzymes—particularly BAP1 and its regulation of chromatin remodelers like INO80—in DNA replication, fork stability, and tumor suppression. A central theme is understanding how post-translational modifications and epigenetic regulators control gene expression and cellular responses to stress, with implications for cancer and central nervous system disorders. The lab also explores novel epigenetic targets, such as non-BET bromodomain proteins, for therapeutic intervention.
Professor Yong Hoon Jang's research lab specializes in the mechanics and physics of materials at micro- and nanoscale interfaces, with a focus on electrical and thermal contact behaviors in dissimilar materials. The lab investigates fundamental phenomena in welding processes—particularly tandem GMAW and ultrasonic welding—emphasizing droplet dynamics, arc interactions, and mechanical mixing at metallic interfaces. Advanced numerical simulations, including molecular dynamics and finite element methods, are employed to model complex contact and deformation behaviors under thermal and mechanical loading. The lab also develops intelligent control and observer design techniques for nonlinear systems, particularly in sampled-data and fuzzy control frameworks.
Professor Jinhyun Choo's research lab specializes in computational mechanics and multiscale modeling of geomaterials, with a focus on unsaturated and porous media, fracture mechanics, and large deformation behavior. The lab develops thermodynamically consistent, phase-field, and finite element frameworks to model complex hydromechanical processes in materials such as shale, fractured rocks, and dilative soils. Key research directions include double-porosity modeling, viscoplasticity in layered materials, volumetric locking mitigation in meshfree and particle methods, and locally conservative simulations of fluid-infiltrated porous media.
Professor Jong-Bae Park's research lab specializes in developing advanced nanomedicines and gene-editing technologies for the treatment of aggressive brain tumors, particularly glioblastoma. The lab focuses on designing smart delivery systems—such as polymer-based nanocapsules and siRNA nanomedicines—that enable targeted, stable, and efficient delivery of therapeutic agents across biological barriers like the blood-brain barrier. Key research directions include understanding and overcoming tumor microenvironment-mediated therapy resistance, particularly through interactions between glioma stem cells, tumor-associated macrophages, and signaling molecules like miR-21, TGM2, and ARS2. The lab also pioneers innovative CRISPR-Cas9 delivery platforms for precise, non-invasive gene editing in the brain.
Professor Jong-Hak Park's research lab focuses on translational and clinical research in oncology, critical care medicine, and occupational health. The lab investigates biomarkers and genetic factors influencing cancer susceptibility and treatment response, particularly in prostate and head and neck cancers, while also exploring hemodynamic predictors and management strategies in sepsis and out-of-hospital cardiac arrest. Additionally, the lab examines occupational health risks, especially respiratory outcomes in industrial settings.
