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 Ha Yeon Jang's research lab specializes in computational phonology, speech production, and aging-related speech changes, with a strong focus on the Korean language. The lab investigates sub-syllabic phonological processing in L1 and L2 speech production, articulatory phonetics using physiological constraints such as tongue muscle dynamics, and the acoustic correlates of vocal emotion and aging in natural speech. Using big data corpora, experimental priming, and advanced acoustic analysis (e.g., OpenSMILE, eGeMAPS), the lab bridges theoretical phonology with empirical speech science, particularly in cross-linguistic and sociolinguistic contexts.
Professor Suhwan Yoon's research lab specializes in the cultural and design translation of Korean traditional aesthetics into contemporary visual and experiential forms. The lab focuses on decoding Korea’s cultural identity—particularly through color, material, finish (CMF), texture, form, and traditional motifs—and translating these into innovative design strategies for modern applications in lifestyle, museum experiences, and urban regeneration. Central to the lab’s work is the integration of intangible cultural heritage with emerging technologies and sustainable design practices, especially in the context of K-Culture’s global influence and post-pandemic digital transformation.
Professor Junseok Jeon's research lab specializes in critical care nephrology and renal replacement therapy, with a focus on optimizing outcomes in acute kidney injury and vasculitis. The lab investigates the impact of metabolic stressors—such as stress hyperglycemia and medication use—on long-term patient outcomes in intensive care settings. It also explores the renal safety of commonly prescribed medications, including H1 antihistamines, proton pump inhibitors, and their newer alternatives like P-CABs. The lab contributes to clinical guideline development, particularly in continuous kidney replacement therapy (CKRT), emphasizing evidence-based practices to improve patient survival and reduce complications.
Professor Wani Woo's research lab specializes in computational neuroscience and brain network dynamics, focusing on how brain lesions disrupt functional networks to produce clinical symptoms. The lab develops advanced neuroimaging and computational modeling techniques—such as lesion-network mapping and free-energy minimizing attractor theory—to understand brain function in health, disease, and during spontaneous thought. A key focus is on linking neural network organization with behavior and cognition, particularly through the integration of functional MRI, body perception maps, and language-based computational models. The lab also emphasizes open science, providing reproducible data pipelines and tools for neural data analysis.
Professor Tobias Schuetze's research lab specializes in sustainable urban development and low-impact urban planning, with a focus on integrating green infrastructure into community and laboratory building designs. The lab investigates low-impact development (LID) strategies, particularly rainwater management systems such as infiltration and retention facilities, to maintain natural hydrological cycles in urbanized areas. It also explores energy and water efficiency, indoor environmental quality, and sustainable materials in specialized buildings like research laboratories, aligning with U.S. green building standards such as LEED and LABS21. The lab emphasizes context-sensitive planning that responds to local site conditions, especially in rural or transitional communities like eco-villages.
Professor Hayun Song's research lab specializes in health communication and human-computer interaction, with a focus on the integration of artificial intelligence and digital technologies in healthcare. The lab explores how AI-driven tools—such as conversational agents, wearable devices, and AI-based diagnostic systems—influence user trust, comprehension, and behavior, particularly among older adults and healthcare professionals. Key research directions include the design of socially assistive robots and virtual agents, the impact of persona and communication strategies in AI health systems, and the role of self-related cues in mitigating digital media overuse. The lab also investigates emotional content in digital health communication and its effects on user engagement and decision-making.
Professor Seungwoo Ahn's research lab specializes in the philosophical and ethical dimensions of emerging technologies, particularly artificial intelligence and digital media, through the lens of classical East Asian thought—especially Confucianism and the *Zhouyi* (I Ching). The lab explores how ancient metaphysical and ethical frameworks can inform contemporary moral reasoning in AI, digital animation, and scientific innovation. It emphasizes the integration of traditional East Asian philosophy with modern ethical challenges, focusing on relational ethics, holistic worldviews, and the phenomenology of reality in digital and artificial realms.
Professor Rin Hong's research lab specializes in Confucian philosophy, particularly focusing on the intellectual history of Song-Ming Neo-Confucianism, with an emphasis on the hermeneutics of classical texts, the evolution of scholarly traditions (such as the Zhuxi and Lu-Wang schools), and the practical dimensions of moral self-cultivation. The lab investigates how concepts like *jingxue* (classical learning), *zhixing yizhi* (unity of knowledge and action), and *li* (ritual propriety) were interpreted and reinterpreted across historical contexts, especially in relation to political thought, educational theory, and ethical praxis. It also explores the philosophical foundations of ritual practice and its transformation in East Asian cultural and psychological life.
Professor Hak Shin's research lab specializes in the material and technological history of art, focusing on the evolution of pictorial support systems—particularly wall surfaces and canvas—across time and cultures. The lab investigates how architectural and pictorial surfaces have functioned not only as structural and protective elements but also as dynamic platforms for human expression, religious symbolism, and cultural communication. By analyzing the materials, techniques, and socio-historical contexts of mural painting and canvas-based artworks, the lab explores the interplay between art, technology, and human spatial experience.
Professor Jong Bong Lee's research lab specializes in single-molecule biophysics, focusing on developing advanced optical and mechanical techniques to visualize and quantify the dynamic behaviors of biomolecules, particularly DNA-processing enzymes. The lab pioneers innovative single-molecule assays, such as multiplexed force spectroscopy and flow-stretching methods, to study real-time enzymatic activities with high spatiotemporal resolution. Their work emphasizes understanding the mechanical and kinetic properties of protein-DNA complexes, revealing transient interactions and molecular heterogeneity in DNA metabolism. The lab integrates custom optical microscopy, nanomechanical measurements, and quantitative analysis to probe fundamental biological processes at the single-molecule level.
Professor Suh Jihyun's research lab specializes in innovation studies, with a focus on the socio-technical dynamics of technology adoption and diffusion. The lab investigates the temporal and institutional factors that shape the success or failure of emerging technologies, particularly in the context of national innovation systems. Drawing on longitudinal case studies—such as South Korea’s WiBro wireless broadband initiative—the lab examines how diverse actors, strategic visions, and market forces interact over time to influence technological trajectories. The research also explores the role of policy, industry coordination, and market competition in shaping innovation outcomes.
Professor Gwang-Wook Kim's research lab specializes in human-computer interaction, virtual reality (VR)-based therapeutic interventions, and cognitive neuroscience, with a strong focus on enhancing mental health assessment and treatment through immersive technologies. The lab investigates the psychological and perceptual impacts of advanced VR systems, wearable robotics, and biometric identity systems—particularly in the context of obsessive-compulsive behaviors, social cognition, and embodied interaction. Key research directions include the development of personalized VR exposure therapies, NFT-based identity authentication for virtual environments, and the integration of eye-tracking and gaze-contingent paradigms to study emotion recognition and attention mechanisms.
Professor Young-Hee Kwon's research lab specializes in neonatal and pediatric critical care, with a focus on improving respiratory support strategies for preterm infants and enhancing early diagnosis of rare pediatric conditions. The lab investigates non-invasive ventilation techniques such as High-Flow Nasal Cannula (HHFNC) in neonates, aiming to optimize clinical outcomes and reduce complications. Additionally, the lab conducts clinical research on rare inflammatory disorders like Kikuchi-Fujimoto disease, emphasizing early diagnostic differentiation and management in children. Their work combines retrospective clinical analysis with detailed imaging and pathological correlation to guide evidence-based pediatric critical care practices.
Professor Min-Seung Kim's research lab focuses on the critical analysis of cultural production, media representation, and socio-spatial transformations within contemporary Korean and global contexts. The lab explores themes such as cultural hybridity in K-content, the politics of memory and identity in exile and colonial narratives, and the ideological dimensions of urban regeneration and globalization. It also investigates the intersection of technology, design, and sustainability, particularly in energy systems and transformer optimization. Through interdisciplinary approaches combining cultural studies, media theory, and urban sociology, the lab examines how power, identity, and ideology are negotiated in media, urban space, and technological innovation.
Professor Yeo-Song Yang's research lab specializes in media and cultural studies with a focus on cross-cultural media flows, particularly the transnational reception and adaptation of Korean variety and reality television programs in China. The lab investigates how Korean media content is consumed, interpreted, and recontextualized within Chinese socio-economic contexts, emphasizing the interplay between entertainment media, audience desires, and broader social anxieties such as competition, self-improvement, and emotional well-being. Research directions include media industry analysis, textual and discourse analysis of reality TV formats, and critical examination of audience engagement in relation to national identity and social imagination.
Professor Bak-Young Woo's research lab focuses on contemporary media culture, particularly Chinese reality television and its socio-cultural implications. The lab investigates how observational reality formats like 'The First Time in My Life' reflect and respond to social anxieties, urbanization, and changing family dynamics in modern China. By combining content analysis, character studies, and in-depth interviews, the lab explores the construction of 'reality' in media and audiences' complex reception of authenticity and emotional comfort in mediated narratives. The research also examines the role of domesticity, interpersonal relationships, and technological mediation in shaping viewers' psychological and social well-being.
Professor Sun-kyu So's research focuses on early Joseon Dynasty administrative systems, particularly the evolution of local governance and tax collection mechanisms in Jeju Island, as well as the historical cartography and geographical perception of maritime territories such as Dokdo (Uldo). His work delves into institutional history, examining bureaucratic practices like the 'Jomok' (seating lists) and the role of scholarly elites ('seonbi') in shaping political and intellectual frameworks during the formative years of the Joseon state. He also critically analyzes historical texts, especially the 'Sejong Sillok Joriji,' to reassess territorial claims and historical cartographic conventions in East Asian maritime history.
Professor Sung-Won Choi's research lab specializes in fracture mechanics and fatigue behavior of high-performance structural materials, with a focus on experimental and analytical studies of crack propagation under variable-amplitude and low-cycle loading conditions. The lab develops advanced constitutive models—such as the modified Forman model—to accurately predict fatigue life by accounting for factors like stress ratio, loading frequency, and crack closure effects. Their work bridges the gap between experimental data and predictive modeling, contributing significantly to structural integrity assessment and life prediction in critical engineering applications.
Professor Bong-Kyu Kim's research lab specializes in internal combustion engine technologies, with a primary focus on improving fuel injection systems to reduce harmful emissions. The lab investigates advanced atomization techniques—particularly air shrouded injectors—aimed at minimizing hydrocarbon (HC) emissions by optimizing fuel spray characteristics and reducing fuel film deposition. Their work combines experimental analysis using particle size measurement systems and fuel film monitoring devices to develop more efficient and environmentally friendly engine components. The lab's research is deeply rooted in practical engine performance enhancement and emission control strategies.
Professor Jungyeon Jang's research lab specializes in natural language processing and deep learning, with a focus on advancing text classification techniques through innovative neural network architectures. The lab explores hybrid embedding strategies—particularly the integration of word-level and character-level representations—to enhance the performance and robustness of convolutional neural networks in NLP tasks. Current research emphasizes improving model generalization by capturing both semantic and morphological patterns in text data. The lab also investigates efficient and scalable deep learning frameworks for real-world applications in text understanding and information extraction.
