世界の主要大学の研究室を探索 — 研究分野と主要論文を一目で確認できます。
Professor Yoo So-jin's research lab specializes in the study of classical Chinese literature's reception and influence in Korean literary history, particularly focusing on the enduring legacy of the Northern Song dynasty poet Su Shi (Su Shi) in Korea. The lab investigates how Korean scholars and writers from the Goryeo and Joseon dynasties engaged with Su Shi’s poetry and philosophy through imitation, quotation, and spiritual identification. Key research directions include the psychological and cultural mechanisms behind literary imitation, the role of Su Shi as a literary and moral role model, and the use of classical texts as psychological and emotional sustenance in times of exile and adversity. The lab also explores intertextuality, literary mentorship, and the formation of literary communities through shared poetic traditions.
Professor Hee-Kyu Park's research lab focuses on critical socio-theological and practical theology, particularly examining the intersections of historical trauma, neoliberalism, and social justice in Korean society. The lab investigates intergenerational and transnational experiences of Korean diaspora communities, especially Korean American women, through the lens of collective trauma, gendered violence, and ethical economic practices. It also explores grassroots community development, with a strong emphasis on youth-led social enterprises in depopulating rural areas as vehicles for regional revitalization, intergenerational equity, and collective impact.
Professor Gae-in Seol's research focuses on educational leadership, teacher professional development, and organizational climate in secondary schools. Her work examines how professional capital—encompassing human, social, and decision-making capital—impacts teacher satisfaction, with a particular emphasis on the mediating roles of school leadership and school climate. She employs large-scale survey data to analyze structural relationships and institutional factors influencing teacher well-being and professional engagement.
Professor Kim Dahi's research lab specializes in high-energy particle physics, with a primary focus on experimental particle physics at the Large Hadron Collider (LHC) at CERN. The lab is deeply involved in the CMS experiment, contributing to key discoveries such as the top quark and the Higgs boson, as well as advancing detector technologies and data analysis techniques. Research directions include particle-flow reconstruction, jet energy calibration, trigger system optimization, and precision measurements of fundamental particles. The lab also engages in international collaborations, leveraging large datasets from proton-proton collisions to probe the Standard Model and search for new physics beyond it.
Professor Sung Whan Yoon's research lab focuses on the intersection of artificial intelligence, human-centered technology, and societal innovation. The lab explores model robustness and generalization in machine learning, particularly through data augmentation and flat minima theory, while also investigating the societal and cultural impact of emerging AI-driven entertainment technologies such as virtual idols. Research spans from theoretical foundations of robust AI to applied natural language processing for analyzing public sentiment and innovation diffusion in digital culture.
Professor Minho Choi's research lab specializes in nanophotonics and metasurface engineering, focusing on the design and optimization of flat optical components with tailored wavefront manipulation capabilities. The lab pioneers differentiable optical design methods using machine learning frameworks like TensorFlow, enabling end-to-end optimization of RGB metasurfaces for custom point spread functions. A key research direction involves bridging the sim-to-real gap in meta-optical systems through knowledge distillation, ensuring robust performance across simulation and real-world implementations. The lab also explores fundamental photonic phenomena such as flatbands and angle-insensitive resonances in 2D photonic lattices for enhanced light-matter interactions.
Professor Soo-Hyun Kim's research lab focuses on interdisciplinary studies at the intersection of advanced materials, biomedical engineering, and health technology. The lab investigates the synthesis and application of two-dimensional materials such as MoS2 for next-generation nanoelectronics, while also exploring the neuromodulatory effects of natural compounds like GABA and L-theanine on sleep and neurological health. Additionally, the lab contributes to clinical research in cardiovascular regeneration using stem cell therapy and examines health literacy's impact on aging populations, particularly in the context of chronic disease management. These diverse research directions reflect a strong commitment to translating scientific innovation into real-world health and technological solutions.
Professor Seung Geol Lee's research lab specializes in advanced materials for energy and environmental applications, with a primary focus on nanomaterials design for photocatalysis and fuel cell technology. The lab investigates the synthesis and optimization of titanium dioxide and doped graphene systems to enhance photocatalytic degradation of pollutants and improve charge transfer in energy conversion devices. A key research direction involves manipulating ionomer distribution and interfacial structures in polymer electrolyte membrane fuel cells using molecular dynamics simulations and tunable dispersion techniques. The lab integrates computational modeling with experimental synthesis to develop efficient, stable, and scalable materials for sustainable energy and environmental remediation.
Professor Sangho Chung's research lab specializes in the design and synthesis of advanced porous materials, particularly zeolites, for sustainable energy and environmental applications. The lab focuses on precise control of metal and heteroatom doping in zeolite frameworks to optimize catalytic performance in reactions such as methane dehydroaromatization and selective oxidation. By employing advanced characterization techniques and rational structure-directing strategies, the group aims to develop highly efficient and selective heterogeneous catalysts. Their work bridges materials synthesis, catalysis, and spectroscopic analysis to address challenges in energy conversion and carbon utilization.
Professor Myong-In Lee's research lab specializes in atmospheric science and numerical weather prediction, focusing on improving the accuracy of heavy precipitation forecasts through innovative bias correction techniques. The lab develops phase-aware methodologies that leverage cloud-top temperature (CTT) to distinguish between different types of systematic errors in all-sky infrared radiances within NWP models. Their work emphasizes correcting cloud formation errors by integrating cloud microphysical characteristics into radiance bias correction frameworks, enhancing the reliability of weather and climate models. The lab also contributes to advancing data assimilation systems, particularly within the WRF/WRFDA framework.
Professor Dong-Hyun Cha's research lab specializes in numerical weather prediction and atmospheric remote sensing, focusing on improving the accuracy of weather forecasts—particularly for extreme events like heavy precipitation—through innovative bias correction techniques. The lab develops phase-aware methods that leverage cloud-top temperature (CTT) to distinguish and correct systematic errors in all-sky infrared radiances within NWP systems such as WRF/WRFDA. Their work emphasizes the physical interpretation of cloud-related biases, enhancing model performance by addressing errors in cloud formation and positioning. The lab integrates machine learning and physical modeling to advance the understanding and correction of radiative biases in operational weather prediction.
Professor Chang Keun Song's research lab specializes in atmospheric remote sensing and air quality monitoring, with a focus on tropospheric nitrogen dioxide (NO2) pollution using advanced Mobile-DOAS techniques. The lab conducts field campaigns to measure vertical column densities of pollutants in industrial and urban environments, particularly in regions like the Yeosu-Gwangyang industrial complex in South Korea. Their work integrates geospatial data, atmospheric chemistry, and retrieval algorithms to improve air quality assessment and environmental policy support. The lab also contributes to long-term monitoring strategies and pollution source identification using high-resolution mobile measurements.
Professor Sang Seo Park's research lab specializes in cybersecurity for space systems and advanced atmospheric modeling. The lab develops machine learning-based intrusion detection systems for spaceborne robotic systems using ROS2 and DDS/RTPS protocols, focusing on real-time anomaly detection to ensure mission integrity. Additionally, the lab advances numerical weather prediction by correcting systematic biases in all-sky infrared radiance data using phase-aware techniques, particularly leveraging cloud-top temperature to improve heavy precipitation forecasts. The interdisciplinary work bridges cyber-physical security and environmental modeling with a strong emphasis on real-time performance and data-driven accuracy.
Professor Kyujin Kwak's research lab specializes in science education innovation, with a primary focus on transforming undergraduate STEM pedagogy through active learning methodologies. The lab investigates the effectiveness of flipped classroom models and peer instruction in improving student engagement, academic achievement, and satisfaction in large-enrollment science courses, particularly in physics education. Their work emphasizes evidence-based instructional design, balancing face-to-face instruction with collaborative problem-solving to optimize learning outcomes.
Professor Kenichiro Nagahama's research lab specializes in computational physics and data-intensive science, focusing on high-energy and astroparticle physics, with strong emphasis on simulation frameworks like Geant4 for particle-matter interactions. The lab advances computational techniques for dark matter research, integrating large-scale data processing, simulation, and e-Science infrastructures to support experiments in particle physics and medical imaging. It also explores innovative imaging technologies such as magnetic particle imaging (MPI) using advanced signal processing and field response modeling. The lab bridges theory, experiment, and simulation through cutting-edge computational science and data management solutions.
Professor Jinmyoung Joo's research lab specializes in bioinspired microrobotics and nanomedicine, focusing on the design of multi-stage microrobots for targeted drug delivery. The lab develops pH-responsive systems that leverage platelet-membrane-coated nanoparticles to enhance biocompatibility and tumor targeting. Their work integrates materials science, synthetic biology, and biomedical engineering to create smart, stimuli-responsive therapeutic platforms.
Professor Chajoong Kim's research lab focuses on the evolving landscape of design and creative industries in the context of digital transformation. The lab investigates the impact of emerging technologies—particularly generative AI, 3D visualization, and automation—on traditional design roles and workflows. By integrating qualitative methods such as expert interviews and focus groups, the lab explores how occupational shifts, societal trends, and policy frameworks are reshaping design education, practice, and industry structure. The research emphasizes adaptive strategies for designers and institutions to thrive in an increasingly automated and digitally driven environment.
