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 Seok-Ki Jung's research lab specializes in the application of artificial intelligence and deep learning to orthodontic diagnosis and treatment planning. The lab focuses on developing convolutional neural network models to analyze cephalometric radiographs, intraoral photographs, and clinical data for automated classification of orthodontic conditions, such as surgical indications and dental crowding. A key emphasis is on improving diagnostic accuracy through interpretable AI techniques like Grad-CAM for visualizing model decision-making. The lab also investigates the biomechanical influences of orofacial muscle function on dentofacial morphology, integrating clinical measurements with imaging analysis.
Professor Soochan Kim's research lab specializes in advanced energy storage systems, with a primary focus on next-generation batteries such as lithium-sulfur and lithium-selenium batteries. The lab develops innovative materials and architectures—including multifunctional binders, solid electrolyte separators, and functional interlayers—to address critical challenges like polysulfide shuttling, lithium dendrite formation, and poor cycle life. A key emphasis is placed on scalable, practical solutions that enhance performance, safety, and longevity while maintaining high energy density. The lab also explores anode-free lithium-ion battery technologies and human-computer interaction systems for assistive technologies.
Professor Myung Mo Sung's research lab specializes in the design, synthesis, and integration of functional organic nanomaterials for next-generation electronic and optoelectronic applications. The lab focuses on developing advanced self-assembly and printing techniques—such as nanotransfer molding and inkjet-assisted nanotransfer printing—to fabricate high-performance, single-crystal organic nanowire arrays and monolithic organic electronic circuits. Key research directions include the creation of stable, high-mobility organic field-effect transistors, the engineering of robust surface-protected monolayers for device stability, and the development of low-temperature atomic layer deposition for effective thin-film barriers. The lab’s work bridges molecular engineering, nanofabrication, and device integration to enable flexible, high-performance, and scalable organic electronics.
Professor Hyungun Sung's research lab specializes in urban and environmental health, focusing on the interplay between urban spatial structure, built environment, and public health outcomes. The lab investigates how urban design—particularly density, land-use mix, walkability, and transit accessibility—affects human behavior, pedestrian safety, and responses to infectious disease outbreaks. Using advanced statistical modeling such as multilevel regression, ARIMA, and spatial analysis, the lab examines real-world impacts of events like MERS and COVID-19 on mobility, retail activity, and transit use in Asian megacities, especially Seoul. The research bridges urban planning, public health, and data science to inform resilient and people-centered urban development.
Professor Saiful Islam's research lab specializes in the design and development of advanced millimeter-wave and sub-6 GHz antenna systems for next-generation wireless communication, with a strong focus on 5G and V2X (Vehicle-to-Everything) applications. The lab pioneers compact, reconfigurable, and high-gain antenna arrays featuring beam-steering, pattern reconfiguration, and multi-band operation using innovative structures such as PIN diode-controlled strips, meandered radiators, and integrated filters. Emphasis is placed on achieving low profile, wide spatial coverage, and efficient energy harvesting for IoT and mobile devices.
Professor Javeed Mahmood's research lab specializes in the design, synthesis, and characterization of advanced two-dimensional (2D) nanomaterials with tailored electronic and catalytic properties. The lab focuses on developing novel covalent organic frameworks (COFs), nitrogen-doped carbon-based materials like C2N, and conductive polymers such as polyaniline and polypyrrole for applications in energy conversion and storage. Key research directions include the rational design of efficient electrocatalysts for hydrogen evolution and borohydride-based hydrogen generation, as well as exploring the integration of transition metals into 2D frameworks to enhance catalytic performance. The lab combines advanced synthesis techniques with in-depth characterization using scanning tunneling microscopy, X-ray diffraction, and spectroscopic methods to achieve atomic-level understanding of material structures and functions.
Professor Eunshil Choi's research lab specializes in the design and development of advanced nanomaterials for targeted cancer therapy, with a focus on stimuli-responsive drug delivery systems. The lab explores innovative strategies to enhance therapeutic efficacy by integrating smart nanocarriers—such as mesoporous silica nanoparticles and metal-organic frameworks—with stimuli-responsive gates, enzymes, or photoactive components for precise spatiotemporal control of drug release. Key research directions include overcoming tumor microenvironment challenges like hypoxia, enabling co-delivery of multiple therapeutic agents (e.g., chemodrugs and siRNAs), and improving the stability and biodegradability of nanocarriers in physiological conditions. The lab also investigates novel mechanisms for triggering programmed cell death pathways to combat drug resistance and improve cancer treatment outcomes.
Professor Jung Min Lee's research lab specializes in the development and application of advanced wearable technologies and nanomaterials for health monitoring and biomedical applications. The lab focuses on validating the accuracy of wearable activity trackers in measuring physical activity and exploring their integration with physiological monitoring, such as heart rate. Additionally, the lab investigates novel nanomaterial architectures—particularly ZnO-graphene hybrids—for flexible, transparent, and optoelectronic devices with potential in biosensing. A parallel line of research explores combination therapies in gynecologic cancers using targeted agents and immunotherapies, emphasizing translational biomarkers and clinical efficacy.
Professor Nway Nway's research lab specializes in integrated space-air-ground communication and computing systems, focusing on energy-efficient resource allocation, task offloading, and network optimization in beyond-5G and integrated networks. The lab explores multi-access edge computing (MEC) with unmanned aerial vehicles (UAVs) and low Earth orbit (LEO) satellites, aiming to minimize delay and energy consumption for IoT and mobile devices. Key research directions include UAV trajectory and altitude optimization, interference management, and joint computation and communication resource allocation in hybrid terrestrial and non-terrestrial networks.
Professor Hye Ah Lee's research lab focuses on early-life determinants of metabolic and cardiovascular health, with a strong emphasis on the long-term impacts of childhood lifestyle, nutrition, and environmental exposures. The lab investigates the interplay between age, period, and cohort effects on ischemic heart disease risk, particularly in women, and explores how preadolescent weight status, dietary patterns, and early-life factors such as breastfeeding influence metabolic syndrome and pubertal development. A key focus is on identifying modifiable risk factors during critical developmental windows to inform preventive public health strategies. The lab also examines low-dose environmental exposures, such as persistent organic pollutants (POPs), and their metabolic consequences in children through longitudinal cohort studies.
Professor Wankyu Kim's research lab specializes in computational biology and bioinformatics, focusing on leveraging artificial intelligence and machine learning to advance drug discovery and systems biology. The lab develops innovative in silico methods for predicting drug-target interactions, repurposing existing drugs for cancer therapy, and modeling protein-protein interactions with high accuracy. Key research directions include AI-driven drug design, multimodal biometric recognition systems, and the systematic classification of molecular interaction interfaces to uncover principles of molecular recognition. The lab integrates large-scale 'omics' data, structural bioinformatics, and statistical modeling to address challenges in precision medicine and functional genomics.
Professor Hongki Yoo's research lab specializes in biomedical imaging and nanomedicine, focusing on the development of advanced optical imaging techniques for high-resolution, 3D characterization of biological tissues and disease mechanisms. The lab integrates optical coherence tomography (OCT), fluorescence lifetime imaging (FLIm), and confocal microscopy to enable simultaneous microstructural and biochemical analysis of pathological tissues, particularly in atherosclerotic plaques. A key research direction involves designing targeted nanocarriers for precise delivery of therapeutic agents—such as PPARγ agonists—to inflamed vascular lesions, minimizing systemic side effects.
Professor Juhyoung Lee's research lab specializes in energy-efficient hardware accelerators for deep learning workloads, with a strong focus on optimizing computation and memory hierarchies for mobile and edge devices. The lab develops specialized processor architectures for convolutional neural networks (CNNs), deep reinforcement learning (DRL), and DNN training, emphasizing low-power, high-throughput, and memory-bandwidth-efficient designs. Key innovations include computing-in-memory (CIM) architectures, sparse computation techniques, and heterogeneous floating-point processing to enable real-time AI inference and training on resource-constrained platforms. The lab’s work bridges algorithmic efficiency with custom hardware design, targeting applications in mobile vision, robotics, and edge AI.
Professor Uichin Lee's research lab focuses on mobile and vehicular networking, with a strong emphasis on intelligent data collection, energy-efficient content delivery, and human-centric mobile systems. The lab explores innovative solutions for vehicular sensor networks, mobile peer-to-peer systems, and content-centric networking to enable proactive urban monitoring and efficient data dissemination in dynamic environments. It also investigates smartphone usage patterns and their behavioral and psychological impacts, particularly among young adults, to support the design of responsible and sustainable mobile technologies. The lab integrates system design, networking protocols, and human behavior analysis to address real-world challenges in mobile and pervasive computing.
Professor Seungwoo Song's research lab specializes in the design, synthesis, and characterization of advanced functional oxide and chalcogenide materials for next-generation electronic and optoelectronic applications. The lab focuses on exploring novel multiferroics, ferroelectric semiconductors, and two-dimensional materials with strong spin-orbit coupling and broken inversion symmetry, aiming to achieve high-performance devices such as ferroelectric photovoltaics, field-effect transistors, and spintronic components. Key research directions include the epitaxial growth of complex oxides and chalcogenides on single-crystalline substrates, understanding the origin of large polarization and magnetoelectric coupling, and developing scalable growth techniques for wafer-scale 2D semiconductors.
Professor Gwang Suk Kim's research lab focuses on promoting health and well-being among vulnerable populations, particularly in the areas of chronic disease self-management, caregiver support, and women's health in multicultural and industrial settings. The lab emphasizes evidence-based nursing interventions, including patient empowerment, urinary incontinence management through exercise programs, and addressing psychosocial stressors such as work and family stress. Research also extends to culturally sensitive health outcomes among immigrant women and the development of valid assessment tools for specific patient populations in Korea.
Professor Sun Kook Yoo's research lab specializes in biomedical signal processing, medical imaging, and intelligent healthcare systems. The lab focuses on developing advanced signal analysis techniques—such as EEG-EMG coherence, PPG-based pain classification using deep learning, and real-time tele-ultrasound systems—to improve clinical decision-making and patient monitoring. Key research directions include wearable and mobile health technologies, real-time telemedicine solutions, and the application of machine learning to physiological data for early diagnosis and personalized treatment.
Professor Eui Geum Oh's research lab focuses on improving patient safety, clinical outcomes, and healthcare professional well-being through evidence-based practice, simulation-based education, and psychometric tool development. The lab investigates clinical decision support systems, such as early warning scores, and evaluates their impact on patient outcomes like mortality and unplanned admissions. It also emphasizes the implementation of effective discharge education strategies and the development of culturally valid tools to assess second victim experiences among healthcare workers. Additionally, the lab designs and evaluates simulation-based training programs to enhance nurses’ disaster response competencies.
Professor Sohee Park's research lab focuses on population health and cancer epidemiology, with a strong emphasis on identifying and addressing modifiable risk factors for cancer. The lab investigates the impact of lifestyle factors such as obesity, physical inactivity, tobacco use, and viral hepatitis on cancer incidence and mortality, particularly in the Korean population. It also explores the public health implications of overdiagnosis, especially in thyroid cancer, and advocates for evidence-based prevention strategies. The lab combines epidemiological data with health policy analysis to inform national cancer control programs.
Professor Ji Sun Nam's research lab focuses on the intersection of metabolic diseases and cardiovascular health, with a particular emphasis on identifying early biomarkers and pathophysiological mechanisms linking type 2 diabetes, insulin resistance, and cardiovascular risk. The lab investigates metabolic and immune parameters—such as NK cell activity, atherogenic index (AIP), erythrocyte deformability, and fibrinogen—across the spectrum of diabetes complications, including diabetic nephropathy, neuropathy, and subclinical atherosclerosis. Their work integrates point-of-care testing and longitudinal clinical studies to evaluate predictive and therapeutic markers for early intervention.
