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 Say Young Kim's research lab specializes in bilingual and multilingual reading processes, with a focus on how morphological structure, orthographic transparency, and language modality influence word recognition and cross-language activation. The lab investigates the neural and cognitive mechanisms underlying Korean as a first language (L1) and its effects on second (L2) and third language (L3) reading, particularly in multilinguals. Key research directions include masked priming, neural representational similarity, and the time course of morphological and cross-linguistic processing in Korean-English and Korean-Chinese trilinguals.
Professor Seung-ki Kim's research lab focuses on translational neuroscience and precision medicine, with a strong emphasis on neurological and neuromuscular disorders such as epilepsy, cerebral palsy, and breast cancer. The lab investigates advanced neuroimaging techniques, including PET tracers like 11C-methionine for improved epilepsy diagnosis, and explores non-invasive brain stimulation therapies such as rTMS for tinnitus. It also examines molecular mechanisms of treatment resistance in hormone receptor-positive breast cancer, particularly focusing on CDK4/6 inhibitor resistance and cancer stem cell markers. Additionally, the lab evaluates rehabilitative technologies, including wearable exoskeletons and botulinum toxin interventions, to enhance motor function in pediatric neurological conditions.
Professor Ji-yun Bae's research lab focuses on infectious diseases, particularly antimicrobial resistance and bacterial pathogenesis, with a strong emphasis on clinical microbiology and infection control. The lab investigates novel antimicrobial agents such as endolysins (e.g., SAL200) for treating drug-resistant pathogens like *Staphylococcus aureus*, and explores the pathogenesis and outcomes of severe infections including *Clostridium difficile* infection, carbapenem-resistant *Acinetobacter baumannii* (CRAB), and neonatal sepsis. The lab also conducts seroprevalence and vaccination studies in healthcare workers, highlighting its commitment to infection prevention and public health interventions. Their work bridges basic microbiology with clinical outcomes, aiming to improve patient management and infection control strategies in hospital settings.
Professor Jae-Hoon Kwon's research lab specializes in representation theory of quantum groups and Lie superalgebras, with a focus on quantum superalgebras, crystal bases, and categorification. The lab develops advanced structures such as crystal bases for finite-dimensional modules, establishes super duality frameworks, and explores connections between quantum affine algebras and superalgebras. Key contributions include the construction of Kirillov–Reshetikhin modules, character formulas via Kazhdan–Lusztig polynomials, and monoidal functors like truncation in affine settings. The work bridges algebraic structures with combinatorics and mathematical physics, particularly in the context of integrable systems and the Yang–Baxter equation.
Professor Jin-Young Choi's research lab specializes in cognitive neuroscience and clinical neuropsychology, with a focus on developing and validating neuropsychological assessment tools for aging populations and neurodegenerative disorders such as Alzheimer’s disease. The lab conducts rigorous norm-referenced studies on memory and cognitive function in older adults, emphasizing the development of reliable, culturally adapted screening instruments like the CDST and narrative memory tests. Their work also extends to entomology, particularly the taxonomy and systematics of scale insects (Coccoidea), contributing to biodiversity documentation in Korea. The lab integrates clinical psychology with applied technology, aiming to enhance early detection and diagnosis of cognitive impairment through computerized, standardized assessment tools.
Professor Sang Kyu Kim's research lab specializes in the development of advanced biosensors and point-of-care diagnostic systems, with a focus on label-free, electrical, and nanomaterial-based detection of biomolecules. The lab pioneers innovative nanofabrication techniques—such as silicon anisotropic wet etching and gold nanoparticle enhancement—for creating highly sensitive nanogap sensors and immunosensors. Key research directions include the integration of microfluidics, surface acoustic wave (SAW) technology, and wearable sensing platforms for rapid, automated detection of cardiac biomarkers and genetic sequences. The lab also emphasizes intelligent signal processing and adaptive algorithms to enhance diagnostic accuracy in real-world conditions.
Professor Chang-Sik Choi's research lab specializes in structural engineering with a focus on lightweight and high-performance construction systems. The lab investigates innovative slab systems—particularly biaxial hollow slabs with donut-shaped hollow spheres—to optimize flexural and shear capacities while reducing self-weight. Research also extends to seismic retrofitting of existing structures, including unreinforced masonry walls and lightly reinforced concrete frames, using advanced materials such as fiber-reinforced polymers and high-performance fiber-reinforced cement composites (HPFRCCs). The lab emphasizes experimental validation and nonlinear finite element analysis to develop code-compliant design solutions for sustainable and earthquake-resistant construction.
Professor Dmitry Shapiro's research lab specializes in behavioral and industrial organization, with a focus on market mechanisms, strategic decision-making, and information asymmetry in dynamic settings. The lab investigates how psychological and strategic momentum influence outcomes in competitive environments such as sports and auctions, and explores pricing strategies—including opaque selling and name-your-own-price models—under risk aversion and asymmetric information. Key research directions include price discrimination, product transparency, and the incentives for quality disclosure in markets with adverse selection.
Professor Young Woo Jang's research lab specializes in advanced surgical oncology, with a focus on improving outcomes in breast and thyroid cancer through innovative surgical techniques and precision medicine. The lab investigates minimally invasive surgical approaches—such as endoscopic and robotic-assisted nipple-sparing mastectomy and thyroidectomy—while integrating radiogenomics and machine learning to predict molecular subtypes and prognostic biomarkers. Key research directions include optimizing surgical extent in early-stage thyroid cancer, particularly in papillary thyroid microcarcinoma, and evaluating the safety and efficacy of central neck dissection. The lab also explores the role of imaging and genetic profiling in guiding personalized treatment strategies.
Professor Dongwook Son's research lab focuses on regenerative medicine and tissue engineering, particularly in orthopedic applications such as meniscal allograft transplantation and ligament reconstruction. The lab also investigates natural compounds for dermatological and metabolic applications, including cinnamic acid's role in melanin regulation and Korean red ginseng's anti-fatigue effects. Additionally, environmental biotechnology is a key area, with studies on biological nitrogen removal using zeolite-based systems in industrial wastewater treatment. The lab integrates clinical outcomes, cellular mechanisms, and environmental sustainability across diverse biomedical and ecological challenges.
Professor Ha Il Kim's research lab specializes in gastrointestinal and liver diseases, with a focus on hepatocellular carcinoma, cholangiocarcinoma, and acute liver injury. The lab investigates the molecular mechanisms of viral hepatitis (particularly HBV) in oncogenesis, explores predictive biomarkers for lymph node metastasis in colon cancer using deep learning, and evaluates the pathophysiological impact of portal vein tumor thrombosis. A key direction involves developing therapeutic strategies using anti-inflammatory and anti-apoptotic agents like PDRN in liver injury models.
Professor Hoyong Chung's research lab focuses on plant molecular biology and biotechnology, with a strong emphasis on understanding the genetic and molecular mechanisms underlying fruit quality, stress tolerance, and innate immunity in crops. The lab investigates key regulatory genes and non-coding RNAs—such as miRNAs and antimicrobial peptides—in model and economically important plants like rice, pear, and Prunus species. Using advanced genome editing tools like CRISPR/Cas9, the lab explores gene function in abiotic stress responses (e.g., drought and salinity) and pathogen defense, aiming to develop resilient and high-quality crop varieties. Their work bridges fundamental molecular biology with translational applications in agricultural biotechnology.
Professor Eun-Kyung Chung's research lab specializes in digital scholarship, with a focus on interdisciplinary research in digital humanities, open access publishing, and digital libraries. The lab investigates the sustainability of open access diamond journals, the collaborative structures in scholarly communication, and the application of computational methods—such as natural language processing and network analysis—to understand knowledge production and information organization in the digital age. A key emphasis is placed on analyzing author collaborations, keyword co-occurrence, and thematic evolution across scholarly domains.
Professor Kyung-sung Lee's research lab specializes in adolescent mental health, behavioral assessment, and psychological resilience, with a strong focus on delinquent and at-risk youth. The lab develops and validates psychometric tools—such as youth self-report scales and health behavior inventories—to assess psychological adjustment, problem behaviors, and relational well-being. Research directions include the impact of personality traits, gender differences, and social factors (e.g., family, school, peer victimization) on adolescent adjustment, mental health, and risky behaviors such as delinquency and sex work. The lab also emphasizes clinical applications, including personalized intervention planning and early identification of at-risk youth.
Professor Do-sang Cho's research lab specializes in spinal and peripheral nerve disorders, with a focus on the diagnosis, surgical management, and long-term outcomes of spinal pathologies such as ossification of the posterior longitudinal ligament (OPLL), thoracolumbar junction injuries, and peroneal nerve injuries. The lab investigates the anatomical and physiological basis of surgical complications—particularly nerve injuries from anterolateral spinal approaches—and explores innovative surgical techniques and rehabilitation strategies. Additionally, the lab is advancing clinical decision support through AI applications in medical imaging, particularly in interpreting chest radiographs with generative AI models.
Professor Danil Kim's research lab focuses on sustainable bioresource utilization and One Health approaches in agricultural and environmental systems. Key research directions include lignin valorization using advanced nanomaterials for biofuel and biochemical production, improving ruminant feeding systems to reduce methane emissions, and developing non-invasive biomarkers for early detection of bovine diseases such as Johne’s disease. The lab also investigates host-microbe interactions, particularly in cattle, with an emphasis on antimicrobial resistance, pathogen virulence, and bone metabolism as indicators of animal health and productivity.
Professor Hyunseop Geum's research lab specializes in public policy, social welfare, and civic attitudes, with a strong focus on the psychological and behavioral dimensions of policy effectiveness. The lab investigates how institutional trust, social capital, and subjective perceptions—such as tax burden or social security benefits—affect citizens' policy support, welfare attitudes, and social well-being. Key research directions include the psychological benefits of social insurance, the role of social service competition and user choice in service satisfaction, and the structural and cultural factors shaping cultural participation and diversity. The lab employs advanced quantitative methods, particularly multilevel modeling and panel data analysis, to explore equity, inclusion, and policy outcomes in contemporary Korean society.
Professor Sangmin Yang's research lab focuses on interdisciplinary studies at the intersection of social responsibility, institutional dynamics, and socio-economic development in East Asia, with a particular emphasis on corporate social responsibility (CSR), institutional convergence, and consumer culture. The lab explores how global pressures and local institutional contexts shape CSR practices across countries like South Korea, Japan, China, and Taiwan, while also examining the evolution of high-end consumption and its societal implications. Additionally, the lab engages in applied scientific research, including the development of 3D-printed radiation dosimeters using plastic scintillators for medical physics applications.
Professor Yejin Kim's research lab specializes in ultrafast electron microscopy and spectroscopy, focusing on probing dynamic processes in quantum materials and nanomaterials with atomic-scale spatial and femtosecond temporal resolution. The lab investigates structural, electronic, and vibrational dynamics in two-dimensional materials, quantum dots, and complex oxides, with particular emphasis on electron-phonon coupling, polaron formation, and energy transfer mechanisms. By integrating advanced electron microscopy techniques—such as ultrafast electron microscopy (UEM), cathodoluminescence (CL), and electron energy-loss spectroscopy (EELS)—the lab achieves unprecedented insights into the structure-function relationships in materials at the nanoscale.
Professor Eun-kyung Shin's research lab focuses on the intersection of social determinants of health, environmental factors, and biomedical markers in understanding and predicting health disparities, particularly in pediatric asthma and breast cancer. The lab integrates epidemiological data, social and environmental metadata (e.g., neighborhood quality, sociomarkers), and molecular genetics (e.g., CSF1R polymorphisms) to identify risk factors and develop predictive models. A key innovation lies in combining machine learning with integrated health datasets to uncover hidden patterns in health outcomes, especially in vulnerable populations.
