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 Soo-Yong Kang's research lab focuses on computer systems and storage technologies, with a strong emphasis on optimizing performance in non-volatile memory systems, flash memory, and continuous media storage. The lab investigates advanced data placement, file organization, and buffer management techniques—particularly for next-generation non-volatile RAM (NVRAM) and multizone recording (MZR) disks—aiming to enhance I/O efficiency and real-time performance in streaming and embedded systems. Their work spans from low-level storage mechanisms to high-level system integration, including applications in video-on-demand servers and medical implant systems.
Professor Sun Ah Choi's research lab focuses on pediatric neurology and epilepsy, with a strong emphasis on understanding the pathophysiology of neurological disorders and developing innovative therapeutic strategies. The lab investigates the use of mesenchymal stem cells, particularly adipose-derived MSCs, as targeted gene delivery vehicles for brain tumors such as brainstem gliomas. It also explores adverse drug reactions to antiseizure medications using electronic health data, and examines factors influencing recovery from conditions like Bell’s palsy and outcomes following epilepsy surgery in children. The lab integrates clinical research with translational approaches to improve patient outcomes in pediatric neurological diseases.
Professor Jae-Won Choi's research lab specializes in quantum matter physics, focusing on the interplay between superconductivity, charge and spin density waves, and topological order in low-dimensional quantum systems. The lab employs advanced experimental techniques such as resonant inelastic x-ray scattering, torsional oscillator measurements, and high-pressure x-ray diffraction to probe hidden order phases and unconventional superfluidity in materials like cuprates, $^4$He films, and URu₂Si₂. A central theme is the identification of symmetry-breaking orders and exotic quantum phases, including pair-density waves and supersolids, under extreme conditions such as uniaxial pressure, magnetic fields, and hydrostatic pressure. The lab aims to uncover the fundamental principles governing quantum phase transitions and emergent phenomena in strongly correlated electron systems.
Professor Min-Young Jeon's research lab focuses on aging-related health disparities, with a strong emphasis on identifying modifiable risk factors for dementia, physical activity assessment, and sleep-related health outcomes in older adults. The lab integrates epidemiological methods with advanced statistical and machine learning techniques to improve early detection and prediction of cognitive decline and neurodegenerative diseases. Current research also explores behavioral interventions, such as mindfulness-based programs, to address modern psychosocial challenges like smartphone addiction among adolescents. The lab’s work bridges clinical gerontology, public health, and digital health innovation to promote healthy aging and personalized prevention strategies.
Professor Sanghack Lee's research lab specializes in causal inference, decision-making under uncertainty, and structural causal modeling, with a focus on integrating causal knowledge into sequential and multi-agent decision systems. The lab investigates how causal structures—especially in relational and complex environments—can be leveraged to improve the efficiency and accuracy of interventions in settings ranging from economics to machine learning. Key research directions include causal bandits, transportability across diverse environments, and the role of causal models in optimizing strategic group formation and information aggregation. The lab emphasizes theoretical rigor combined with practical algorithms for real-world applications.
Professor Boram Do's research lab focuses on organizational change, sensemaking, and the socio-emotional dynamics of change processes, particularly emphasizing the active roles of change recipients and senior leadership teams. The lab explores how individuals and collectives make sense of strategic change, especially in digital and virtual environments such as the metaverse, and investigates the enduring impact of defunct organizations on community identity through communal memory work. A key focus is on the interplay between affect, identity, and organizational transformation, informed by narrative, longitudinal, and qualitative methodologies.
Professor Lee Hyang-Sook's research lab specializes in cryptography and cybersecurity, with a strong focus on pairing-based cryptography, identity-based key agreement protocols, and privacy-preserving data aggregation. The lab explores advanced mathematical constructs such as elliptic curves with specific embedding degrees and CM discriminants, contributing to the development of secure and efficient cryptographic systems. Research also extends to systemic innovation models that integrate technology, economy, and society, emphasizing policy and institutional support for technological diffusion.
Professor Hyeonsang Eom's research lab focuses on system-level performance optimization for modern storage and networking systems, with an emphasis on reducing software overhead and improving resource utilization. The lab explores innovative controller designs—such as out-of-order flash memory controllers and intelligent routing algorithms—that exploit hardware parallelism and dynamic resource prediction. Key research directions include high-performance I/O systems, efficient simulation methodologies, and performance-aware system tuning for distributed and data-intensive workloads. The lab also investigates advanced metrics and mechanisms to guide application and system-level optimizations in dynamic environments.
Professor Hoi-Rock Kim's research lab specializes in speech and audio processing, with a strong focus on robust speaker recognition, dysarthric speech analysis, and speech intelligibility assessment. The lab develops advanced machine learning and signal processing techniques to address challenges such as short utterance recognition, phonetic variation in pathological speech, and acoustic mismatches due to noise and channel distortions. Key research directions include meta-learning for imbalanced data, hidden Markov models with Kullback-Leibler divergence for dysarthric speech modeling, and deep learning-based audio fingerprinting for real-world robustness. The lab emphasizes practical applications in healthcare and real-world audio systems.
Professor Dae-Hwan Kang's research lab specializes in advanced functional materials and nanoscale devices, with a primary focus on phase change memory (PCM) technologies for next-generation non-volatile memory applications. The lab investigates fundamental thermal and electrical behaviors in PCM devices, including heat confinement, resistance fluctuations, and low-power operation through innovative electrode and barrier layer engineering (e.g., TiN, TiON). Additionally, the lab explores bio-inspired computing using PCM cells for neuromorphic applications and develops stimuli-responsive nanocarriers for targeted cancer therapy, particularly in drug-resistant cancers. The integration of materials science, device physics, and biomedical engineering defines the lab’s multidisciplinary approach.
Professor Sochul Jeon's research lab focuses on clinical diabetes management and prevention, with a strong emphasis on evidence-based clinical practice guidelines tailored for the Korean population. The lab specializes in optimizing glycemic, blood pressure, and lipid control in type 2 diabetes mellitus, integrating recent clinical trial data and population-specific epidemiological findings. A key research direction involves evaluating the efficacy and application of novel pharmacotherapies such as SGLT2 inhibitors and GLP-1 receptor agonists, as well as developing digital health tools like smartphone applications for diabetes self-management. The lab also investigates β-cell function and insulin resistance to improve early diagnosis and personalized treatment strategies.
Professor Hong, Ki Yong's research lab specializes in regenerative medicine and soft tissue reconstruction, with a primary focus on adipose-derived stromal cells (ASCs) and their applications in cell-assisted lipotransfer (CAL). The lab investigates the biological mechanisms underlying fat graft survival, the developmental origin and behavior of preadipocytes during embryogenesis, and the therapeutic potential of intravenously delivered ASCs in enhancing graft outcomes. Additionally, the lab explores clinical applications in breast reconstruction and microsurgical fingertip reconstruction, emphasizing both biological insights and translational impact.
Professor Bokyung Kim's research lab focuses on interdisciplinary health and behavioral sciences, with a strong emphasis on improving quality of life for individuals with chronic conditions. The lab investigates the psychological and social impacts of neurodegenerative diseases such as Alzheimer’s disease, particularly the relationship between behavioral and psychological symptoms and caregiver burden. It also explores patient perceptions and treatment willingness in conditions like androgenetic alopecia, and examines the role of emerging technologies—such as AI-driven robots—in supporting child emotional development. Additionally, the lab contributes to the promotion of cultural health practices, including Korean traditional dance, by studying their psychological and motivational benefits. These diverse yet interconnected research directions reflect a commitment to holistic, patient-centered health innovation.
Professor Eun-kyung Ji's research lab specializes in the development of safety-critical and real-time systems, with a strong focus on formal methods, model-based verification, and assurance techniques for medical and nuclear cyber-physical systems. The lab pioneers automated testing and verification frameworks for industrial control software, particularly using Function Block Diagrams (FBD) and timed automata, to ensure reliability in safety-critical applications such as reactor protection systems and cardiac pacemakers. The lab also explores blockchain consensus protocols, especially the Stellar Consensus Protocol, with formal modeling to ensure safety and liveness in distributed ledger systems. Their work bridges formal methods with practical industrial deployment, emphasizing verifiability, autonomy, and system assurance.
Professor Jeongyoon Song's research lab focuses on translational oncology and biomedical diagnostics, with a strong emphasis on breast cancer biomarkers, targeted therapies, and early detection methods. The lab investigates the clinicopathological differences in HER2-low and HER2-negative breast cancer, explores novel therapeutic agents like naringin for neurodegenerative diseases, and develops innovative diagnostic platforms using surface-enhanced Raman scattering (SERS) for non-invasive cancer detection in bodily fluids such as tears. The lab also contributes to surgical innovation, particularly in regional anesthesia techniques for breast surgery and minimally invasive thyroid surgery using robotic systems.
Professor Sangwook Park's research lab focuses on advanced materials and sustainable energy systems, with a strong emphasis on atomic layer deposition (ALD) for nanostructured catalytic materials, particularly for oxygen evolution and reduction reactions in clean energy applications. The lab also explores socio-technical systems, especially the strategic niche management of hydrogen energy technologies, integrating engineering with policy and social science. Additionally, the lab investigates supply chain integration and optimization, combining operations management with information systems and performance measurement. A further research direction involves structural health monitoring using advanced sensing and modeling techniques, such as terrestrial laser scanning and lattice-based stress distribution models.
Professor Euiseok Kim's research lab specializes in interdisciplinary studies at the intersection of neuroscience, advanced computing, and sustainable innovation. The lab investigates neural mechanisms underlying chronic itch and sensory processing, particularly focusing on spinal inhibitory circuits and their role in sensory gating. In parallel, the lab explores technological innovation in computing architectures—especially CXL-based memory disaggregation and near-data processing—to enhance performance and energy efficiency in data-intensive applications. Additionally, the lab examines the role of education and technology transfer in driving national innovation systems and sustainable development, particularly in the context of digital transformation and high-tech industrial convergence.
Professor Jeong-hye Yeon's research lab specializes in pediatric neurology and genetic disorders, focusing on the epidemiology, clinical prognosis, and genetic basis of childhood-onset neurological conditions. Key research directions include febrile seizures, epilepsy prediction, and the genetic characterization of neuromuscular diseases such as Duchenne and Becker muscular dystrophy. The lab also investigates environmental influences on pediatric respiratory and immune health, particularly the role of allergens like mold in asthma severity. Utilizing advanced genomic technologies like whole-exome sequencing and molecular diagnostics, the lab aims to improve early diagnosis and personalized management of neurodevelopmental and genetic disorders in children.
Professor Dong Seok Han's research lab specializes in gastrointestinal oncology, with a primary focus on gastric cancer. The lab investigates prognostic biomarkers, including PD-L1, neutrophil-to-lymphocyte ratio (NLR), and clinicopathologic factors, to improve survival prediction and treatment stratification. It also explores surgical outcomes and the role of immune microenvironment in gastric carcinomas, particularly in the context of advanced or metastatic disease. The lab integrates clinical data with molecular pathology to develop predictive models such as nomograms for personalized treatment planning.
Professor Jae-Woo Hwang's research lab specializes in network science and knowledge representation, focusing on overlapping community detection in complex networks, clustering in signed and social networks, and the integration of multimodal data in knowledge graphs. The lab develops advanced algorithms that address real-world challenges such as overlapping clusters, outliers, and non-exhaustive clustering, with applications in social network analysis and semantic knowledge systems. A key focus is on unifying the treatment of overlap and non-exhaustiveness in clustering, as well as enhancing knowledge graphs with visual and textual explanations for improved interpretability and reasoning.
