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 Yoonseok Park's research lab specializes in the development of advanced micro- and nanoscale technologies for biomedical applications, with a focus on flexible, implantable, and wearable sensors for real-time physiological monitoring. The lab pioneers multifunctional neural interfaces, soft bioelectronics, and environmentally responsive microsystems for neuroscience, disease modeling, and point-of-care diagnostics. Key research directions include 3D neural spheroid interfaces, wireless and wearable monitoring systems for vascular health, and biodegradable microfliers for environmental sensing. The lab integrates materials chemistry, microfabrication, and systems engineering to create smart, minimally invasive devices for healthcare and environmental applications.
Professor Sang-Koog Kim's research lab specializes in spintronics and nanomagnetic materials, focusing on the dynamic control of magnetization textures such as magnetic vortices, domain walls, and spin waves in patterned nanostructures. The lab investigates novel phenomena like resonant vortex core switching using spin-polarized currents and circular magnetic fields, as well as the design of magnonic crystals and spin-wave devices for high-frequency signal processing. A key emphasis is placed on understanding and exploiting the interplay between spin texture, magnetic anisotropy, and wave propagation in confined geometries for next-generation information technologies.
Professor Youngsoo Kim's research lab specializes in systems biology and translational proteomics, focusing on identifying and validating biomarkers for cancer and neurodegenerative diseases. The lab integrates advanced mass spectrometry techniques, including label-free and targeted proteomics (e.g., MRM), with multi-omics data mining to uncover disease mechanisms and therapeutic targets. Key research directions include the characterization of astrocyte proteomes and secretomes, the development of quantitative MS-based methods for clinical pathology (e.g., on FFPE tissues), and the discovery of novel regulatory proteins such as IKKβ in inflammatory pathways. The lab also investigates post-translational modifications, particularly autocatalytic proteolytic cleavage, to understand protein activation and function in disease contexts.
Professor Gyeongsik Moon's research lab specializes in 3D human perception and reconstruction, focusing on challenging problems in 3D human body, hand, and pose estimation from single images or depth maps. The lab develops deep learning-based methods that address geometric distortions, kinematic consistency, and domain shift between controlled (MoCap) and real-world (in-the-wild) environments. Key research directions include whole-body 3D mesh estimation, multi-person 3D pose estimation, and robust 3D hand interaction recovery using weakly supervised and self-supervised learning paradigms.
Professor Hail Kim's research lab focuses on the molecular mechanisms underlying metabolic diseases, particularly type 2 diabetes and nonalcoholic fatty liver disease (NAFLD). The lab investigates the role of serotonin signaling—both central and peripheral—in regulating glucose homeostasis, insulin sensitivity, and β-cell function. Key research directions include the regulation of β-cell mass and identity through serotonin synthesis and signaling pathways, as well as the impact of gut-liver axis signaling in metabolic disease. The lab integrates preclinical models, molecular genetics, and translational approaches to identify novel therapeutic targets for metabolic disorders.
Professor Liangliang Xu's research lab focuses on mesenchymal stem cells (MSCs) and their therapeutic potential in regenerative medicine and cancer therapy. The lab investigates MSC biology, including lineage differentiation, epigenetic regulation, and tumor-tropic homing, with a particular emphasis on enhancing MSC function through genetic engineering. Key research directions include understanding the tumor immune microenvironment and systemic immune environment using single-cell and spatial transcriptomics, as well as developing MSC-based strategies for bone repair and cancer treatment. The lab also explores cancer stem cell markers such as Lgr5 and their roles in Wnt signaling and tumorigenesis.
Professor Gyutaek Oh's research lab specializes in developing advanced deep learning and generative modeling techniques for medical image reconstruction and analysis, with a strong focus on MRI applications. The lab primarily investigates unsupervised and self-supervised learning methods to address critical challenges in accelerated MRI and motion artifact correction, where paired training data is often unavailable due to clinical and practical constraints. Key research directions include unpaired image translation using cycle-consistent GANs, score-based diffusion models, and foundation models tailored for single-cell genomics, particularly in brain tissue. The lab emphasizes real-world clinical applicability by designing data-efficient, robust, and generalizable AI solutions for diagnostic imaging and biological data analysis.
Professor Nam Kyu Kim's research lab specializes in colorectal cancer surgery, with a focus on improving surgical outcomes through advanced imaging, minimally invasive techniques, and oncologic staging. The lab investigates optimal preoperative assessment methods such as transrectal ultrasonography and MRI, evaluates surgical strategies like double-stapling technique and robotic surgery, and emphasizes the preservation of pelvic autonomic nerves to maintain quality of life. Key research directions include minimizing complications, enhancing oncologic outcomes, and refining surgical staging and treatment protocols for rectal cancer.
Professor Xiaoyan Jin's research lab specializes in the design and synthesis of advanced two-dimensional (2D) nanomaterials for energy conversion and storage applications. The lab focuses on defect engineering, heterostructure integration, and lattice engineering to develop high-performance electrocatalysts and nanocomposites for sustainable energy technologies. Key research directions include the creation of atomically thin, holey metal phosphides, MXene-based catalyst supports, and hybrid nanomaterials combining graphene, metal oxides, and fullerene for enhanced electrochemical performance.
Professor Hyun Kyu Song's research lab specializes in structural and molecular biology, focusing on the mechanisms of protein degradation, metallochaperone function, and the regulation of autophagy in eukaryotes and prokaryotes. The lab employs a combination of X-ray crystallography, electron microscopy, and biochemical mutagenesis to elucidate the structural basis of ATP-dependent protease complexes, nickel delivery systems, and key autophagy regulatory proteins. Current research centers on understanding the dynamic interactions within the ULK1 and ATG16L1/TECPR1 complexes that govern autophagosome formation and lysosomal fusion. The lab’s work provides critical insights into conserved cellular pathways with implications for bacterial pathogenesis and human disease.
Professor Jun-Sik Yoon's research lab specializes in the design, simulation, and optimization of advanced semiconductor devices for next-generation nanoelectronics. The lab focuses on cutting-edge transistor architectures such as FinFETs, nanosheet FETs (NSFETs), and gate-all-around (GAA) junctionless nanowires, with an emphasis on scaling challenges, process variations, and performance trade-offs at sub-5-nm technology nodes. Using fully calibrated 3D TCAD simulations, the lab investigates key device characteristics including DC/AC performance, gate controllability, parasitic capacitances, and reliability metrics like band-to-band tunneling currents. Their work supports the development of high-performance, low-power, and scalable CMOS technologies for system-on-chip and analog/RF applications.
Professor N. Karjanto's research lab specializes in applied mathematics and mathematical physics, with a focus on nonlinear wave phenomena, particularly soliton solutions to the nonlinear Schrödinger equation and their applications in modeling rogue waves in dispersive media. The lab also investigates innovative pedagogical approaches in higher education, especially the implementation of flipped classrooms and sustainable teaching methodologies in STEM disciplines within Confucian Heritage Culture contexts. Additionally, the lab explores students' attitudes and psychological factors—such as test anxiety and motivation—in mathematics education, aiming to enhance learning outcomes through evidence-based teaching strategies. The integration of mathematical modeling, educational research, and technology-enhanced learning defines the lab’s interdisciplinary approach.
Professor Hyunseung Choo's research lab specializes in intelligent networking and distributed systems, with a focus on wireless sensor networks, IoT integration, and UAV communications. The lab develops energy-efficient and scalable solutions for dynamic network management, including density control, processor allocation in 3D torus topologies, and reliable IoT gateway systems. Recent work emphasizes AI-driven optimization using deep reinforcement learning for UAV handover decisions and anomaly detection in industrial systems through advanced deep learning models.
Professor Seung Jae Moon's research lab specializes in the electronic and structural characterization of advanced functional materials, with a focus on transition metal oxides, rare-earth compounds, and nanostructured semiconductors. The lab employs advanced spectroscopic techniques—such as optical spectroscopy, x-ray absorption spectroscopy, and density-functional theory—to investigate electronic correlations, superconductivity, and magnetism in complex oxides. Additionally, the lab explores materials processing techniques, including pulsed laser sintering and recrystallization, to develop high-performance thin films and nanostructured materials for next-generation electronic and energy devices. The integration of experimental and computational methods enables a deep understanding of non-equilibrium phase transformations and functional properties in emerging materials systems.
Professor Ramesh Kumar's research lab specializes in sustainable chemical processes and environmental remediation, with a strong focus on membrane technology for wastewater treatment and green biodiesel production. The lab investigates advanced separation techniques using nanofiltration and microfiltration membranes to remove toxic contaminants such as cyanide and phenol from industrial effluents. Additionally, the lab explores the molecular mechanisms of carcinogenesis, particularly the role of ras oncogenes in early tumorigenesis, using animal models. The integration of membrane-based technologies with green chemistry principles underpins the lab’s mission to develop efficient, eco-friendly solutions for industrial and biomedical challenges.
Professor Hayeon Lee's research lab specializes in the development and characterization of advanced cathode materials for sustainable lithium-ion batteries, with a focus on disordered rock-salt oxides and oxyfluorides based on iron, manganese, chromium, and molybdenum. The lab employs multiscale characterization techniques—combining synchrotron and lab-based X-ray diffraction, spectroscopy, and first-principles calculations—to unravel the complex cation distributions and short-range order in these materials, aiming to understand their electrochemical behavior and redox mechanisms. A central theme is enabling high-energy, low-cobalt, and low-nickel cathodes through rational design of Li-excess disordered rock-salt structures.
Professor Jae-Byung Chang's research lab specializes in advanced materials and bio-integrated technologies, focusing on the design of functional hydrogels, block copolymer nanostructures, and super-resolution imaging techniques. The lab develops innovative materials such as high-strength hydrogel grippers inspired by human anatomy and creates novel imaging methods like FRACTAL and expansion microscopy for high-contrast, multiplexed visualization of biological structures. A central theme is the integration of materials science with biological systems to enable new capabilities in biomedical imaging, soft robotics, and bio-adhesion. The lab combines theoretical modeling with experimental innovation to address challenges in nanoscale patterning, mechanical robustness, and molecular imaging in complex biological environments.
Professor Hyunwoo Kim's research lab specializes in computational linguistics and natural language processing, with a strong focus on empathy and prosocial behavior in dialogue systems. The lab investigates how language models can understand and respond to emotional and socially sensitive content by leveraging implicit causality, emotion cause detection, and commonsense reasoning. A key direction involves developing large-scale, human-annotated datasets—such as ProsocialDialog—that ground responses in social norms and real-world rules-of-thumb to promote safer, more ethical, and more empathetic AI interactions. The lab also explores second language acquisition, particularly how learners integrate syntactic constructions and form-meaning pairings, using both experimental psycholinguistics and NLP tools.
Professor Runguo Xu's research lab specializes in the political economy and environmental sustainability of energy transitions, with a focus on renewable energy adoption, environmental degradation, and ecological resilience in emerging and developed economies. The lab investigates the interplay between technological innovation, economic growth, institutional quality (e.g., corruption and bureaucracy), and environmental policies in shaping sustainable development outcomes. Key research directions include the impact of political stability, financial and technological advancement, and globalization on renewable energy use and ecological quality across G20, BRICS, E7, and G7 nations.
Professor Keun-Ah Cheon's research lab focuses on the neurobiological and behavioral underpinnings of neurodevelopmental disorders, with a primary emphasis on autism spectrum disorder (ASD). The lab investigates brain connectivity patterns using neuroimaging data, explores the role of genetic and microbial factors—particularly gut microbiota—in ASD pathogenesis, and examines co-occurring medical conditions such as inflammatory bowel disease. Additionally, the lab evaluates culturally adapted assessment tools like the SRS-Korean version to enhance diagnostic accuracy and cross-cultural validity in diverse populations. Their work bridges neuroscience, genetics, microbiology, and public health to advance personalized understanding and intervention strategies for neurodevelopmental conditions.
