首尔大学、KAIST、延世大学等韩国QS前10名大学的研究室信息。
Professor Jörn Altmann's research lab focuses on the economic and systemic design of digital ecosystems, particularly in the domains of networked services, cybersecurity, and software platforms. The lab investigates value creation, interoperability, and market sustainability in technology ecosystems, integrating economic models with technical system design. Key research directions include incentive mechanisms for information sharing, pricing and quality-of-service trade-offs in network services, and the economic drivers of user lock-in and platform interoperability. The lab emphasizes practical, market-oriented solutions grounded in behavioral theory and empirical modeling.
Professor Sung-Hye Park's research lab specializes in neuro-oncology, with a focus on the molecular and pathological characterization of central nervous system tumors. The lab investigates the genetic and epigenetic alterations underlying gliomas, glioneuronal tumors, and rare brain and ovarian neoplasms, emphasizing integrated diagnosis using molecular markers such as IDH, MGMT, MMR, and TERTp. A key research direction involves understanding therapeutic resistance mechanisms in glioblastoma, particularly following temozolomide treatment, and exploring the role of mismatch repair deficiency and microsatellite instability in tumorigenesis and clinical behavior. The lab also contributes to the pathological classification of brain tumors through comprehensive immunohistochemical and genomic profiling.
Professor Jae Ryoun Youn's research lab specializes in the development and processing of advanced polymeric materials, with a focus on microcellular foams, polymer nanocomposites, and functional aerogels. The lab investigates the fundamental mechanisms of bubble nucleation and growth in polymer matrices, rheological behavior of nanocomposites, and structural stabilization of graphene-based aerogels for energy and environmental applications. Key research directions include enhancing mechanical properties, processability, and functional performance of lightweight, high-strength materials through innovative processing techniques and nanostructuring strategies.
Professor Jaehan Lee's research lab specializes in advanced electrochemical technologies for sustainable water and resource recovery. The lab focuses on developing innovative capacitive and battery-based systems for desalination and lithium ion recovery, emphasizing high selectivity, energy efficiency, and environmental compatibility. Key research directions include rocking-chair capacitive deionization, Prussian blue-based desalination batteries, and electrochemical lithium recovery using advanced electrode materials such as spinel-type LiMn₂O₄ and modified carbon electrodes. The lab integrates materials engineering with electrochemical system design to address global challenges in clean water and critical metal extraction.
Professor Hyoun-Joong Kong's research lab specializes in the intersection of artificial intelligence, medical imaging, and healthcare technology. The lab focuses on developing deep learning and federated learning approaches to enhance surgical skill assessment, optimize data augmentation for medical diagnostics, and support remote and patient-centered healthcare through IoT integration. Key research directions include intelligent surgical instrument tracking, synthetic data generation using GANs, and improving diagnostic performance in limited-data scenarios for conditions like chronic sinusitis and Alzheimer’s disease.
Professor Sanghoo Park's research lab specializes in atmospheric-pressure plasmas, with a focus on weakly ionized gas dynamics, electron diagnostics, and plasma-liquid interactions. The lab investigates fundamental plasma phenomena such as electric wind, electron-neutral bremsstrahlung, and nitrogen fixation, using advanced optical diagnostics and pulsed plasma systems. Key research directions include plasma diagnostics for electron density and temperature, control of reactive species (e.g., NOx, O3) in air discharges, and applications in medicine, agriculture, and food safety. The lab emphasizes experimental and theoretical understanding of collisional, non-equilibrium plasmas under ambient conditions.
Professor Wonjoon Kim's research lab specializes in innovation strategy, technological change, and industrial dynamics, with a strong focus on high-technology industries and digital ecosystems. The lab investigates the drivers of technological innovation, including the interplay between technology-push and demand-pull forces, the role of knowledge networks in mobile and semiconductor industries, and the strategic implications of industry convergence. It also explores behavioral aspects of entrepreneurship, particularly risk propensity in social versus commercial entrepreneurs, and examines how online reviews influence consumer decision-making processes. The lab combines empirical econometric analysis with innovative methodologies such as eye-tracking and patent citation network analysis to uncover dynamic patterns in innovation and market evolution.
Professor Hyoung-Il Kim's research lab specializes in surgical oncology and translational immunometabolism, focusing on the interplay between systemic inflammation, nutritional status, and cancer outcomes. The lab investigates prognostic biomarkers such as the Prognostic Nutritional Index (PNI) in gastric cancer patients, aiming to improve surgical risk stratification and long-term survival prediction. Additionally, the lab explores innovative transplantation sites for pancreatic islets, evaluating their feasibility, engraftment efficiency, and metabolic outcomes to advance diabetes treatment. A key focus is also on post-gastrectomy iron deficiency and strategies to optimize nutritional recovery through surgical reconstruction techniques.
Professor Dukyong Yoon's research lab specializes in leveraging electronic health records (EHRs) and biosignal data for pharmacovigilance and clinical decision support. The lab focuses on developing advanced machine learning and deep learning methods to detect adverse drug reactions, improve ECG signal analysis, and extract meaningful features from unlabeled biomedical data. Key research directions include postmarketing drug safety surveillance, noise detection in ECGs, and unsupervised feature learning for ECG interpretation using variational autoencoders. The lab also actively contributes to international health data networks by transforming EHRs into standardized clinical data models for research use.
Professor Jeonghoon Yoo's research lab specializes in topology optimization and computational design for electromagnetic and magnetic field applications, with a focus on enhancing the performance of electric machinery, motors, antennas, and electromagnetic couplers. The lab develops advanced numerical methods—such as the homogenization design method and SIMP-based topology optimization—combined with finite element analysis to optimize material distribution and maximize magnetic energy, vector potential, and force generation. Key research directions include multimaterial topology optimization using single-variable formulations and accurate modeling of physical phenomena such as air gaps in electrostatic chucks.
Professor Hoseong Lee's research lab specializes in advanced thermal management systems for electric vehicles and energy storage devices, with a strong focus on battery and electric motor thermal performance under extreme operating conditions. The lab develops innovative cooling technologies—such as phase change materials, mini-channel systems, metal foam integration, and novel heat exchanger designs—to enhance thermal regulation, improve safety, and extend component lifespan. Key research directions include electrochemical-thermal modeling, multi-objective optimization of thermal systems, and experimental validation of next-generation battery and motor cooling solutions. The lab's work bridges fundamental thermal science with practical applications in sustainable transportation and energy systems.
Professor Wonseok Choi's research lab specializes in advancing photoacoustic imaging (PAI) for clinical translation, focusing on overcoming physical and technical limitations such as low signal-to-noise ratio, limited spatial resolution in deep tissue, and challenges in contrast agent delivery. The lab develops innovative 3D non-contrast bimodal photoacoustic/ultrasound (PA/US) imaging systems for noninvasive microvascular assessment, particularly in peripheral diseases like diabetic foot syndrome. They also investigate robust image reconstruction techniques under realistic conditions—such as limited view, heterogeneous media, and fast-fading channels—using numerical simulations and advanced signal processing. Their work bridges preclinical research with clinical applications, emphasizing practical, operator-independent solutions for early disease detection.
Professor Minhee Kang's research lab specializes in nanomaterials and plasmonics for advanced biomedical diagnostics and smart health technologies. The lab focuses on developing ultrasensitive, point-of-care diagnostic platforms using colorimetric assays, surface-enhanced Raman scattering (SERS), and plasmonic nanostructures such as gold and silver nanoislands. Key research directions include the design of tunable plasmonic materials via thermal dewetting, integration of nanomaterials with IoT-enabled health monitoring systems, and the application of these technologies for early detection of infectious diseases and biomolecules. The lab also explores active plasmonic control and electromagnetic hotspot engineering to enhance signal sensitivity for real-world diagnostic applications.
Professor Young-Jun Jeon's research lab specializes in computational and molecular oncology, focusing on identifying novel anticancer agents and elucidating molecular mechanisms underlying cancer progression and drug resistance. The lab integrates machine learning, systems biology, and functional genomics to predict anticancer peptides, study non-coding RNAs, and investigate the roles of tumor suppressors and natural compounds in cancers such as non-small cell lung carcinoma, hepatocellular carcinoma, and colorectal cancer. A key focus is on understanding the regulatory roles of microRNAs, lncRNAs, and endogenous metabolites in cancer signaling pathways and therapeutic responses.
Professor Sung Hye Kong's research lab specializes in osteoporosis and musculoskeletal health, with a strong focus on improving fracture risk prediction through advanced data-driven methodologies. The lab integrates clinical data, medical imaging, and machine learning to develop personalized prediction models, particularly using tools like FRAX, TBS (trabecular bone score), and deep learning algorithms such as DeepSurv. Research also explores the role of vitamin D in fracture and fall prevention, emphasizing optimal dosing strategies. The lab is at the forefront of applying artificial intelligence to enhance diagnostic accuracy and clinical decision-making in osteoporosis.
Professor Hyerim Kim's research lab specializes in biomedical data science and translational bioinformatics, focusing on applying deep learning and machine learning techniques to predict and classify chronic disease risks—particularly hypertension, type 2 diabetes, obesity, and dyslipidemia—based on nutritional and physiological data. The lab also investigates molecular mechanisms underlying viral pathogenesis, such as HBx-mediated activation of NF-κB signaling via TBK1 in hepatocellular carcinoma. Additionally, the lab contributes to clinical decision support through early prediction models in neonatal respiratory disease and explores innovative photocatalytic systems for sustainable CO₂ conversion into solar fuels.
Professor Seok-Jin Eom's research lab specializes in digital transformation in public administration, with a focus on e-government, open data, digital twins in bureaucracy, and mobile government services. The lab investigates institutional and technological drivers behind the success or failure of digital governance initiatives across nations, emphasizing policy design, managerial capabilities, and technological adoption. It also explores emerging work models such as smart work, analyzing their impact on public sector efficiency and work-life balance. The lab integrates comparative public administration with information technology to develop practical models for improving digital public services.
Professor Dong Young Chung's research lab specializes in the design and synthesis of advanced nanomaterials for sustainable energy applications, with a primary focus on electrocatalysts for fuel cells and green hydrogen production. The lab develops high-performance, durable, and non-precious metal or alloy-based nanocatalysts using innovative synthesis strategies such as in situ carbon coating and polydopamine-assisted conversion. Key research directions include understanding the structure-activity-stability relationships in nanomaterials and leveraging *operando* characterization to uncover degradation mechanisms and improve catalyst longevity. The lab also emphasizes scalable and practical approaches to material synthesis for real-world energy device integration.
Professor Jae-Hyung Mah's research lab focuses on microbial physiology, food safety, and biodegradable materials, with a strong emphasis on understanding and controlling microbial processes in food systems. The lab investigates the molecular mechanisms of sporulation in pathogenic fungi and bacteria, particularly *Aspergillus fumigatus* and *Bacillus* species, to develop strategies for preventing foodborne infections. It also explores bioactive compounds such as levan and antimicrobial peptides like nisin for their applications in food preservation and sustainable packaging. Additionally, the lab addresses food safety concerns related to biogenic amines in fermented foods, especially traditional Asian fermented products.
Professor Sin Gon Kim's research lab focuses on metabolic health, particularly the complex relationships between body composition, obesity, and chronic disease outcomes in diverse populations. The lab investigates metabolic syndrome, non-alcoholic fatty liver disease (NAFLD), and the paradoxical effects of obesity on mortality, especially in aging and diseased populations. Using large-scale epidemiological data and clinical trials, the lab explores biomarkers such as triglyceride levels and weight change as predictors of metabolic disease progression. Their work bridges clinical epidemiology with preventive medicine, aiming to refine risk stratification and personalized health strategies.
