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 In-Hyun Jeong's research lab specializes in cardiovascular imaging and risk prediction, with a focus on echocardiographic strain assessment in dilated cardiomyopathy and hypertensive heart disease. The lab investigates the prognostic value of left and right ventricular global longitudinal strain (GLS) for heart failure outcomes and explores the integration of artificial intelligence with electrocardiograms to non-invasively predict coronary artery calcium. Their work bridges clinical cardiology with advanced imaging and machine learning to improve early detection and personalized management of cardiovascular disease.
Professor Kyung Hoon Lee's research lab specializes in computational and systems biology, with a focus on drug discovery, systems pharmacology, and biomedical data science. The lab develops advanced machine learning and graph-based algorithms for drug-likeness prediction, reaction network analysis, and early disease detection using high-throughput assays. Their work bridges computational chemistry, biomedical engineering, and clinical applications, particularly in ischemia-reperfusion injury and HIV diagnostics. They also contribute to nuclear reactor core analysis through innovative methods in neutron transport and cross-section correction.
Professor Hyungsoo Jung's research lab specializes in high-performance computing systems, with a focus on database management systems, fault-tolerant cluster computing, and adaptive networking protocols. The lab investigates scalability challenges in modern multi-core environments, particularly in transaction processing and congestion control, aiming to eliminate performance bottlenecks such as latch contention and I/O delays. Key research directions include scalable logging mechanisms, replicated serializability in distributed databases, and end-to-end congestion control for high-bandwidth networks. The lab's work bridges systems software, distributed algorithms, and high-performance networking to build efficient, reliable, and scalable computing infrastructures.
Professor Hee Jin Jeong's research lab specializes in infectious disease epidemiology, antimicrobial resistance, and public health interventions, with a strong focus on bacterial infections such as urinary tract infections, spontaneous bacterial peritonitis, and influenza. The lab investigates antibiotic susceptibility patterns, the impact of non-pharmaceutical interventions like social distancing on respiratory virus transmission, and the role of vaccination in military and community health. Their work integrates clinical microbiology with population-level surveillance to inform public health policy and improve infectious disease control.
Professor Jihyun Ahn's research lab specializes in orthopedic surgery and sports medicine, with a primary focus on anterior cruciate ligament (ACL) reconstruction and meniscal allograft transplantation (MAT). The lab investigates surgical techniques, graft integration, and biomechanical outcomes to improve long-term joint stability and functional recovery. Key research directions include anatomical reconstruction methods, graft extrusion prediction, and innovative repair techniques such as anterolateral ligament reconstruction and all-inside meniscal repair.
Professor Mi-kyung Ju's research lab specializes in teacher education, with a strong focus on enhancing pedagogical practices through innovative teacher training programs and the integration of interdisciplinary approaches in mathematics and science education. The lab explores the development of prospective teachers through collaborative student teaching models, the enhancement of subject-specific pedagogical content knowledge—particularly in mathematics education—and the implementation of interdisciplinary, culturally responsive, and inquiry-based teaching methods. A central theme is the transformation of pre-service teachers' professional identity and classroom practice through reflective, context-based learning and systemic support in school-university partnerships.
Professor Seung Ro Lee's research lab specializes in medical imaging, neuroprotection in stroke, and advanced computational methods in metal forming processes. The lab conducts clinical and preclinical studies on traumatic brain injury and facial fractures, with a focus on neuroimaging and biomarkers, while also advancing machine learning and finite element modeling for industrial applications in metal forming. Key research directions include the neuroprotective mechanisms of PARP inhibitors in ischemic stroke and the development of AI-driven preform design for forging processes using 3D convolutional neural networks. The integration of medical imaging, computational modeling, and intelligent manufacturing defines the lab’s interdisciplinary approach.
Professor Hyeonhoon Lee's research lab specializes in clinical artificial intelligence and biomedical data science, focusing on developing and validating machine learning models for critical healthcare applications such as early prediction of in-hospital cardiac arrest, radiogenomic biomarker discovery, and AI-driven clinical decision support. The lab emphasizes real-world applicability through large-scale, multicenter datasets and rigorous external validation, particularly in neurology, perioperative medicine, and immune-mediated diseases. It also pioneers interpretable AI solutions, including NLP-based chatbots for specialty triage and foundation models tailored for medical accuracy and uncertainty calibration.
Professor Daeun Jeong's research lab specializes in biomedical engineering and neurotechnology, focusing on the development of noninvasive and implantable neuromodulation strategies for neurological disorders. The lab investigates deep brain stimulation (DBS) mechanisms in preclinical models of dementia and memory impairment, with an emphasis on cholinergic pathways and neurogenesis. It also explores advanced biosignal processing techniques—particularly using ECG and PPG signals—for continuous cardiovascular monitoring and arrhythmia detection. Additionally, the lab develops bioactive hydrogel systems for targeted anti-inflammatory and neuroprotective delivery after traumatic brain injury.
Professor Mi Hye Park's research lab focuses on optimizing ventilatory strategies in surgical patients, particularly in thoracic and general anesthesia, with an emphasis on minimizing postoperative pulmonary complications. The lab investigates hemodynamic stability, lung-protective ventilation, and novel ventilatory parameters such as driving pressure and mechanical power to improve outcomes in patients undergoing lung resection and other high-risk procedures. A key focus is on comparing airway management techniques—like laryngeal mask airway versus endotracheal intubation—to enhance hemodynamic stability and reduce postoperative discomfort. The lab also explores pharmacological adjuvants, such as pregabalin, to enhance regional anesthetic efficacy and postoperative pain control.
Professor Ji-Young Lee's research lab focuses on interdisciplinary studies at the intersection of health sciences, cognitive development, and philosophical inquiry into emotion and embodiment. The lab investigates natural product-based anti-cancer effects, particularly from traditional herbs like Rehmannia glutinosa (Doraji), while also exploring students’ mathematical communication and emotional regulation strategies in educational contexts. Additionally, the lab engages in critical discourse analysis of social policy narratives and reconstructs philosophical foundations of emotion through historical and phenomenological lenses, especially in the works of Spinoza. These diverse yet interconnected research directions reflect a commitment to understanding human well-being through biological, psychological, and socio-cultural perspectives.
Professor Minhao Cui's research lab specializes in power electronics and integrated circuit design, with a focus on high-efficiency DC-DC converters for next-generation computing and automotive systems. The lab develops advanced topologies such as three-level half-bridge and hysteretic converters, leveraging wide-bandgap semiconductors and digital control techniques to achieve high efficiency, fast transient response, and compact integration. Research also extends to system-level optimization in community well-being and local governance, applying data envelopment analysis and residual-based modeling to evaluate regional development efficiency.
Professor Mi Jung Kim's research lab specializes in biomedical engineering and translational medicine, focusing on the development of innovative diagnostic and therapeutic platforms for cancer and cardiovascular diseases. Key research directions include photonic-based point-of-care diagnostics using nanomaterials for rapid, low-power PCR detection, implantable bioelectronic devices for real-time cardiac monitoring and stimulation, and the role of oxidative stress and aging in cancer initiation, particularly gastric carcinogenesis. The lab integrates materials science, bioengineering, and clinical applications to create compact, biocompatible, and efficient medical technologies.
Professor Changhun Oh's research lab specializes in quantum information science and quantum metrology, with a focus on advancing the fundamental limits of quantum parameter estimation, particularly in noisy and lossy environments. The lab investigates quantum advantage in near-term quantum devices, such as boson sampling and NISQ-era quantum processors, using advanced numerical methods like matrix product operator simulations. Key research directions include optimizing quantum measurements for phase estimation, analyzing the impact of noise on quantum resolution and fidelity, and developing classical simulation algorithms that exploit structural properties of linear-optical circuits. The lab also explores practical quantum sensing applications using Gaussian states and identifies optimal measurement strategies for achieving ultimate quantum limits in precision measurement.
Professor Yunhee Ha's research lab focuses on sustainable energy systems, green growth strategies, and innovative energy technologies that address climate change and energy security. The lab investigates decentralized and renewable energy solutions, including solar photovoltaics, reused electric vehicle batteries in energy storage systems, and smart building energy management integrated with Fourth Industrial Revolution technologies. A key emphasis is placed on the socio-technical governance of energy projects and the role of corruption in public debt and economic development, particularly in emerging economies.
Professor Seung-Dae Oh's research lab specializes in advanced functional materials and surface engineering for sustainable energy and environmental applications. The lab focuses on designing smart surfaces with tailored wettability—such as superhydrophobic, self-cleaning, and Janus-type membranes—for efficient oil-water separation, anti-fogging, and enhanced heat transfer. Key research directions include the development of hierarchical nanostructures, chiral materials for spin-selective catalysis, and fiber-optic sensors for mechanical and environmental sensing. The lab integrates nanofabrication, surface chemistry, and physical characterization to address challenges in energy conversion, water purification, and thermal management.
Professor Dong-Joong Kim's research lab specializes in mathematics education, with a focus on innovative pedagogical approaches that integrate creativity, character education, and narrative-based learning in mathematics instruction. The lab investigates how multimedia design, including screen size and visual annotations, influences second language vocabulary acquisition, and explores the use of commognitive discourse analysis to understand students’ mathematical thinking. Additionally, the lab examines textbook design and curriculum development, particularly the integration of storytelling in mathematics textbooks to enhance cognitive engagement and learning outcomes.
Professor Geonu Kim's research lab specializes in advanced electronic systems and nanoscale devices, with a strong focus on high-performance RF front-ends, nonvolatile memory technologies, and low-light image sensing. The lab develops innovative circuit techniques—such as transconductance linearization using multiple-gated transistors and harmonic termination—for improving linearity and energy efficiency in RF and analog integrated circuits. It also explores cutting-edge applications in automotive radar interference mitigation, 4-bit/cell NAND flash memory scaling, and high-energy photoemission from metal nanotips for ultrafast electron sources. The lab combines theoretical analysis, simulation, and experimental validation using custom-built systems and advanced fabrication processes.
Professor Myoung-Ju Park's research lab specializes in operations research and scheduling theory, with a focus on optimization models for complex production and service systems. The lab investigates advanced scheduling problems in flow shop and job shop environments, emphasizing energy efficiency, resource allocation, and multi-agent coordination under practical constraints. Key research directions include integer programming, constraint programming, and approximation algorithms for NP-hard scheduling problems, with applications in manufacturing, restaurants, and energy-conscious operations.
Professor Yunkyu Sohn's research lab specializes in the intersection of social networks, emotion dynamics, and behavioral decision-making. The lab investigates how emotions and social interactions propagate through online and biological networks, using advanced network science and statistical modeling to uncover hidden structures and mechanisms. Key research directions include emotional contagion in digital environments, the role of emotion regulation in shaping political ideologies, and the self-organization of cooperative networks through strategic interaction. The lab also develops innovative computational frameworks, such as multilayer stochastic blockmodels, to analyze complex, multi-layered social and neural systems.