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 Jae-Suk Yang's research lab specializes in interdisciplinary studies at the intersection of complex systems, economic networks, and health technology. The lab investigates critical phenomena in statistical physics, such as phase transitions in nonequilibrium systems, while also exploring the dynamics of global capital flows, trade networks, and telemedicine adoption. A key focus is on understanding systemic risks and resilience in interconnected economic and healthcare systems, particularly through agent-based modeling and network analysis. The lab's work bridges theoretical physics, econophysics, and applied health policy to address real-world challenges in sustainability, innovation, and healthcare access.
Professor Jongheon Jeong's research lab specializes in robust and generalizable machine learning, with a strong focus on vision-language models, anomaly detection, and adversarial robustness. The lab explores zero-shot and few-shot learning paradigms for industrial vision tasks, leveraging models like CLIP and enhancing them through novel architectures such as WinCLIP for improved generalization. It also investigates robust training techniques—particularly randomized smoothing and contrastive learning—to improve model generalization under distribution shift and adversarial perturbations. A central theme is rethinking robustness not as a trade-off but as a property that can be controlled through confidence calibration and consistency regularization.
Professor Sung-Hwan Kim's research lab focuses on regenerative medicine and orthopedic tissue engineering, with a primary emphasis on articular cartilage repair and osteoarthritis (OA) pathogenesis. The lab investigates the molecular mechanisms underlying cartilage degeneration, particularly the regulatory roles of microRNAs such as miR-449a in mesenchymal stem cell differentiation and chondrogenesis. Additionally, the lab explores surgical techniques for anterior and posterior cruciate ligament reconstruction, with a special interest in remnant preservation and its impact on joint stability and functional outcomes. Their work bridges molecular biology and clinical orthopedics to develop novel therapeutic strategies for joint diseases.
Professor Heuiseok Lim's research lab specializes in the intersection of artificial intelligence, educational technology, and intelligent systems. The lab focuses on developing data-driven and algorithmic approaches for personalized learning, particularly through procedural content generation in educational games and adaptive learning systems. It also explores intelligent applications in fashion technology, including deep learning-based fashion retrieval and recommendation systems. A central theme across the lab's work is the integration of AI techniques—such as genetic algorithms, support vector machines, and neural networks—to solve real-world challenges in education and industry.
Professor Jae Sung Lee's research lab specializes in medical image analysis and neuroimaging, focusing on advanced computational methods to enhance diagnostic imaging quality and understand brain function in neurological and psychiatric disorders. Key research directions include developing deep learning-based techniques for CT and PET image reconstruction, such as super-resolution and attenuation correction, and investigating neurobiological changes in conditions like ADHD and postlingual deafness using SPECT and PET imaging. The lab also emphasizes the creation of population-specific brain templates for improved neuroimaging standardization in Korean and other ethnic populations.
Professor Sangwon Seo's research lab specializes in developing innovative organic synthesis methodologies, with a focus on transition-metal-catalyzed transformations and radical-based reactions. Key research directions include decarboxylative cyclizations, trifluoromethylation of arenes, and hydroamination/hydroamidation of unsaturated substrates using earth-abundant metal hydrides. The lab also explores the application of advanced computational frameworks, such as MapReduce-based systems, to support large-scale scientific data processing and simulation. These interdisciplinary efforts bridge synthetic organic chemistry with computational science and data engineering.
Professor Se-Woong Baek's research lab specializes in the development of advanced nanomaterials and optoelectronic devices for next-generation energy and sensing technologies. The lab focuses on plasmonic nanostructures, colloidal quantum dots (CQDs), and hybrid heterojunctions to enhance light absorption and charge transport in organic and perovskite solar cells, as well as in broadband infrared photodetectors. Key research directions include plasmonic light management, solution-processed semiconductor nanostructures, and interface engineering for improved device efficiency and stability.
Professor Tae-Seong Kim's research lab specializes in intelligent robotics and human-centered AI, focusing on wearable robotic systems, real-time human activity recognition and prediction using wearable sensors, and advanced 3D shape reconstruction from single-depth images. The lab develops deep learning-based solutions for enhancing robotic assistance in daily living, healthcare monitoring, and dexterous manipulation using anthropomorphic robot hands. Key research directions include edge-deployed activity recognition, sensor signal forecasting for proactive safety systems, and novel neural network architectures for 3D reconstruction and robotic control.
Professor Daehee Hwang's research lab specializes in systems biology and computational biology, focusing on integrating multi-omics data to reconstruct dynamic biological networks. The lab develops advanced data integration methods—such as the Pointillist framework—to handle heterogeneous, high-throughput biological data with varying noise profiles and statistical power. Key research directions include understanding neurodegenerative diseases like Alzheimer’s and prion disorders through systems-level analysis of gene expression, protein dynamics, and regulatory networks. The lab also investigates the functional expansion of essential cellular machinery, such as aminoacyl-tRNA synthetases, in higher-order protein complexes.
Professor Yongdae Shin's research lab focuses on the biophysics and engineering of biomolecular condensates, with a central emphasis on understanding how phase separation governs cellular organization and function. The lab investigates the molecular principles underlying the formation, material properties, and dynamic behaviors of membraneless organelles through a combination of quantitative biophysics, single-molecule imaging, and synthetic biology approaches. A key direction involves using programmable DNA-based systems to engineer synthetic condensates with tunable composition and function, enabling precise dissection of intermolecular interactions. The lab also explores the role of phase separation in disease mechanisms, particularly in neurodegeneration and cancer, by probing the physical basis of pathological aggregation.
Professor O-Pil Kwon's research lab specializes in the design, synthesis, and crystal engineering of organic nonlinear optical (NLO) materials, with a focus on developing highly efficient electro-optic and terahertz-active crystals. The lab pioneers novel chromophore architectures—particularly acentric ionic systems based on quinolinium, benzothiazolium, and stilbazolium cores—engineered for strong macroscopic optical nonlinearity and enhanced molecular hyperpolarizability. Their work emphasizes crystal growth from solution and melt, structure-property relationships, and applications in terahertz wave generation and photonic devices.
Professor In Cheol Bang's research lab specializes in advanced thermal fluids and heat transfer, with a primary focus on nanofluids and their application in enhancing critical heat flux (CHF) for advanced nuclear and energy systems. The lab investigates the fundamental mechanisms of boiling heat transfer in nanoparticle suspensions, emphasizing the role of nanoscale properties and interfacial phenomena in improving coolant performance. Key research directions include the development of predictive models for bubble dynamics, surface phenomena, and thermal-hydraulic behavior in engineered fluids for next-generation safety systems. The lab also explores the integration of nanofluids in advanced reactor designs to achieve higher efficiency and improved safety margins.
Professor Jungwoo Hahn's research lab specializes in developing innovative biomaterials and biosensing technologies for sustainable food systems and point-of-care diagnostics. The lab focuses on creating plant-based protein alternatives with meat-like textures and sensory properties, leveraging protein conjugation, extrusion processing, and structural engineering. A key emphasis is on designing rapid, sensitive, and instrument-free biosensors—particularly colorimetric assays using gold nanoparticles and switchable linkers—for detecting foodborne pathogens, allergens (like gliadin and PSA), and biomarkers. The lab’s interdisciplinary work bridges food science, materials engineering, and biomedical diagnostics to address challenges in food safety, sustainability, and health.
Professor Junwoo Son's research lab specializes in oxide electronics, focusing on correlated oxides, complex oxide heterostructures, and functional oxide thin films. The lab investigates quantum transport phenomena, metal-insulator transitions, and ion-gated electronic devices, with an emphasis on manipulating electronic phases through strain, electrostatic gating, and ion intercalation. Key research directions include designing energy-efficient artificial synapses, engineering oxide interfaces for advanced capacitors, and developing protonic and electrochemical control of electronic states in transition metal oxides.
Professor Jae-June Dong's research lab specializes in computational and structural biology, focusing on identifying novel therapeutic targets and drug candidates for major human diseases, particularly cancer and viral infections like SARS-CoV-2. The lab employs advanced *in silico* approaches, including virtual screening and molecular docking, to investigate key viral proteins such as the main protease (Mpro), spike protein, and host factors like TMPRSS2 and ASK1. Current research directions emphasize understanding drug resistance mechanisms in glioblastoma, analyzing the impact of SARS-CoV-2 variants on viral infectivity, and repurposing existing drugs for antiviral therapy. The lab integrates structural virology, systems biology, and drug discovery to develop effective, targeted interventions.
Professor Ji-Hoon Ahn's research lab specializes in the development and fundamental characterization of advanced 2D and oxide thin films for next-generation electronic and optoelectronic applications. The lab focuses on atomic layer deposition (ALD)-based synthesis of high-quality, wafer-scale 2D materials such as MoS₂ and SnS₂, as well as ferroelectric and dielectric HfO₂-based oxides for memory and sensor devices. Key research directions include controlled polymorphic growth of 2D semiconductors, surface-sensitive gas sensing using vertically aligned 2D nanostructures, and the engineering of dielectric properties in complex oxide thin films through doping and interfacial engineering. The lab combines advanced thin-film deposition techniques with in-depth materials characterization to enable scalable, high-performance nanomaterials for industrial integration.
Professor Jun Hyung Lim's research lab specializes in the development and optimization of advanced oxide semiconductor materials for next-generation optoelectronic and thin-film transistor (TFT) applications. The lab focuses on atomic layer deposition (ALD) and sol-gel processes to precisely control the composition, structure, and electronic properties of multicomponent oxides such as InGaZnO (IGZO), InZnSnO (IZTO), and Ga/In-codoped ZnO. Key research directions include enhancing carrier mobility, achieving excellent step coverage for 3D device integration, and understanding precursor reactivity for scalable and stable semiconductor film fabrication.
Professor Abdul Basir's research lab specializes in the design and optimization of compact, efficient, and biocompatible wireless systems for implantable and wearable biomedical devices. The lab focuses on advancing wireless power transfer (WPT) and ultra-wideband (UWB) antennas tailored for deep-tissue implants, endoscopic capsules, and intraoral applications, with an emphasis on overcoming challenges related to miniaturization, tissue-induced detuning, and power efficiency. Key research directions include conformal and flexible antenna design, high-efficiency rectifiers, and novel coil configurations for enhanced power transfer reliability in dynamic implant environments. The lab integrates electromagnetic simulation, phantom testing, and prototype validation using realistic human phantoms and saline-based models to ensure clinical relevance and performance stability.
Professor Soung-Hun Roh's research lab specializes in structural biology and molecular chaperone mechanisms, utilizing advanced cryo-electron microscopy (cryo-EM) to investigate the dynamic conformations and functional mechanisms of macromolecular complexes. The lab focuses on understanding how chaperonins such as GroEL/GroES and TRiC facilitate protein folding, with particular emphasis on structural heterogeneity, ATP-driven conformational changes, and the role of chaperones in diseases like cancer and leukemia. Recent work also extends to membrane protein complexes like V-ATPase and the structural characterization of oncoproteins such as AML1-ETO, aiming to uncover targets for therapeutic intervention.
Professor Insook Han's research lab specializes in innovative technology integration in education, with a focus on immersive technologies such as virtual reality (VR) and artificial intelligence (AI) to enhance learning experiences. The lab explores how immersive VR, head-mounted displays, and conversational AI can foster presence, empathy, and collaborative learning in both K-12 and teacher education contexts. Key research directions include the affective dimensions of learning, embodied cognition in simulation-based education, and the development of pedagogically effective technology interventions. The lab emphasizes empirical, mixed-methods approaches to understand student and pre-service teacher perceptions, self-efficacy, and technology integration beliefs.
