ソウル大学、KAIST、延世大学など韓国QSトップ10大学の研究室情報です。
Professor In-Hee Kim's research lab specializes in the design and optimization of application-specific digital signal processors (DSPs) for mobile and broadband communication systems. The lab focuses on developing high-performance, area-efficient DSP architectures integrated with specialized hardware accelerators—such as the Mobile Communication Accelerator (MCA)—to significantly enhance processing efficiency for key signal processing tasks like OFDM and Viterbi equalization. Their work emphasizes low-power, high-throughput implementations tailored for real-time baseband processing in 3G/4G mobile communication standards. The lab combines algorithmic innovation with custom VLSI design, targeting both FPGA prototyping and silicon fabrication using advanced CMOS processes.
Professor Hye-min Kim's research lab focuses on corporate governance, director networks, and educational innovation in academic and environmental contexts. The lab investigates how activist-influenced board appointments impact firm value, examines the role of CEOs as intermediaries in director labor markets, and explores the effectiveness of action-learning pedagogy in education. Additionally, the lab conducts empirical research on private forest management and mental health treatment delays, reflecting a multidisciplinary approach to governance, sustainability, and social well-being.
Professor Taeha Joo's research lab specializes in ultrafast photophysics and dynamics of functional organic and semiconductor materials, with a focus on excited-state processes such as excited-state intramolecular proton transfer (ESIPT), energy transfer, and charge transfer. The lab employs advanced time-resolved laser spectroscopy techniques—ranging from femtosecond fluorescence to transient absorption and electro-optic sampling—to probe electronic and vibrational dynamics in real time. Key research directions include the design and characterization of photochromic molecules, porphyrin-based materials, and III-nitride quantum well structures for optoelectronic and photonic applications.
Professor Dong-Young Son's research lab specializes in digital communication, social media dynamics, and consumer behavior in online environments. The lab investigates how online trust, perceived network structures, and platform-specific features such as time constraints and social proof influence information processing, decision-making, and interpersonal communication. Key research directions include the psychological mechanisms behind user engagement in social commerce, the role of anonymity in community cohesion, and the impact of crisis communication strategies on public perception and trust.
Professor Yu Evgeniy's research lab specializes in consumer behavior, digital marketing, and cross-cultural brand perception, with a particular focus on electronic word of mouth (eWOM) and its influence on purchase intention in emerging markets. The lab investigates how factors such as eWOM credibility, quality, and volume shape brand image and perceived quality, especially in the context of Korean automotive brands among Russian consumers. Research directions include the mediation effects of brand image and perceived quality in online consumer decision-making processes.
Professor Ahn Myeong-Hwan's research lab specializes in atmospheric remote sensing and environmental monitoring using advanced satellite and ground-based instruments. The lab focuses on improving the accuracy of atmospheric gas measurements—particularly carbon dioxide and methane—through high-resolution spectral analysis and enhanced a priori profile modeling. Key research directions include the development and validation of vertical gas profiles from Fourier Transform Spectrometers (FTS) in the Total Carbon Column Observing Network (TCCON), with a strong emphasis on capturing local and diurnal variations in greenhouse gases. The lab also investigates radiometric calibration and polarization effects in Earth-observing sensors, such as the Geostationary Environment Monitoring Spectrometer (GEMS), to enhance data quality for air quality and climate monitoring.
Professor Kyeong-Sook Kim's research focuses on the legal culture and social dynamics of the Joseon dynasty, particularly examining litigation practices, the role of evidence in judicial processes, and the agency of marginalized groups such as slaves and women. Her work explores how individuals—including nobi (slaves), women, and commoners—navigated the legal system through strategic use of documents, petitions, and collective action, revealing the complexity of legal subjectivity and social hierarchy in pre-modern Korea. She also investigates the procedural mechanisms of official documents and the interplay between law, power, and identity in local governance.
Professor So Young Ban's research lab specializes in pediatric and perioperative anesthesiology, with a strong focus on metabolic liver diseases such as citrullinemia and argininosuccinic acidemia. The lab investigates anesthetic management in children with rare inborn errors of metabolism, particularly during complex surgical procedures like liver transplantation. Research also extends to optimizing regional anesthesia techniques and evaluating anesthetic requirements in pediatric patients to improve recovery and postoperative outcomes. The lab emphasizes patient safety, particularly in vulnerable populations with metabolic and endocrine comorbidities.
Professor Yi Jun Seo's research lab specializes in anesthetic management and critical care strategies, with a focus on optimizing perioperative outcomes in high-risk surgical patients. The lab investigates innovative anesthetic techniques—such as intraoperative dexmedetomidine infusion and advanced lung isolation methods—to reduce complications like postoperative nausea and vomiting (PONV) and improve surgical precision in complex thoracic procedures. Their work emphasizes patient-specific, evidence-based approaches in intensive care and transplant anesthesia, particularly in patients with severe respiratory compromise.
Professor Yeon Hee Sim's research lab specializes in clinical anesthesiology and perioperative medicine, with a strong focus on optimizing patient outcomes during and after surgery. Key research directions include postoperative nausea and vomiting (PONV) prevention, neuromuscular blockade reversal, hemodynamic stability during airway management, and the use of inotropes in cardiac surgery patients. The lab also investigates novel airway devices and anesthetic techniques tailored for patients with cardiovascular comorbidities.
Professor Ji Woo Park's research lab specializes in medical image analysis and artificial intelligence, focusing on improving diagnostic accuracy and treatment prediction in oncology through advanced imaging techniques and machine learning. The lab develops deep learning-based reconstruction methods for MRI, radiomics for cancer prognosis, and predictive models for treatment response in breast, lung, and gastric cancers. Their work bridges biomedical engineering, radiology, and computational biology to identify patient-specific biomarkers and enhance personalized cancer care. They also explore semiconductor materials for electronic applications, particularly in SiGe epitaxial layers for advanced device integration.
Professor Hyun-Woo Bae's research lab specializes in colorectal surgery and gastrointestinal oncology, with a strong focus on improving surgical outcomes for rectal and colorectal cancers. The lab investigates advanced surgical techniques such as total mesorectal excision (TME) and intersphincteric resection (ISR), emphasizing nerve-sparing approaches and complication prevention. It also explores predictive biomarkers, including preoperative perineural invasion and micrometastasis, to guide personalized treatment and improve survival. Additionally, the lab examines cost-effective treatment strategies like short-course radiotherapy and long-term outcomes in inflammatory bowel disease and Behçet’s disease.
Professor Seung-Yul Maeng's research lab specializes in computer-aided manufacturing (CAM) and numerical control (NC) machining simulation, with a focus on efficient and accurate simulation of complex tool paths. The lab develops advanced geometric algorithms for workpiece representation and toolpath simulation, particularly emphasizing Z-map based methods for real-time simulation of both linear and circular tool movements. Their work addresses challenges in free-form surface machining by enabling fast and precise computation of tool-workpiece intersections, enhancing the performance of CAM systems. The lab also contributes to the integration of geometric modeling and manufacturing process simulation for improved machining accuracy and efficiency.
Professor Jeong-Kyu Heo's research lab specializes in quantitative finance and financial engineering, focusing on the development of advanced computational methods for pricing complex derivatives and solving high-dimensional stochastic control problems in continuous time. The lab integrates modern deep learning techniques—particularly recurrent networks and neural network-based policy optimization—with classical stochastic control theory, such as Pontryagin’s Maximum Principle, to enhance accuracy and efficiency in option pricing and portfolio optimization. Key research directions include the application of neural networks to solve Volterra and backward SDEs, the design of stable and interpretable algorithms for American options, and the construction of multiscale models for volatility surface modeling.
Professor Geunbaek Lee's research lab specializes in statistical modeling for longitudinal and clustered categorical data, with a strong focus on developing advanced mixed-effects models that account for complex correlation structures and subject-specific variability. The lab emphasizes methodological innovations in random effects covariance matrix estimation, particularly through Bayesian approaches, Cholesky decomposition techniques, and noninformative priors that ensure proper model fitting under high-dimensional and positive-definite constraints. A key research direction involves improving the robustness and efficiency of marginalized random effects models and cumulative logit models by relaxing restrictive assumptions such as homogeneous correlation structures. The lab also contributes to theoretical statistics by deriving matching priors for generalized half-normal distributions, with applications in reliable inference for scale and shape parameters.
Professor Yunha Jung's research lab focuses on the long-term socio-economic impacts of historical institutions, agricultural systems, and environmental shocks. Her work explores how enduring factors such as slavery, cotton cultivation, and natural disasters shape contemporary outcomes in human capital, cultural values, and economic development. Using innovative empirical strategies and historical data, the lab investigates structural change, intergenerational persistence, and the role of exogenous shocks in shaping regional and individual-level trajectories.
Professor Yonmi Kim's research lab specializes in financial regulation, capital market law, and corporate governance, with a strong focus on investor protection, securities disclosure, and the legal frameworks governing financial innovation such as crowdfunding and private placements. The lab explores the intersection of financial regulation and corporate governance, particularly in the context of emerging financial technologies and institutional reforms, including the regulation of small and medium-sized enterprises' fundraising mechanisms and the legal status of shareholder rights. The research also critically examines the effectiveness of civil liability mechanisms in securities markets, especially in relation to public offering disclosures and damages for material misrepresentations.
Professor Joo Hwa Hong's research lab specializes in advanced mechatronics, intelligent robotics, and surface engineering with a focus on developing automated systems for industrial and aerospace applications. The lab conducts cutting-edge research in robotic automation for unmanned aerial vehicles and aircraft conversion using humanoid robots, while also advancing durable, high-performance coatings for tooling and energy systems. Their work spans from dynamic system modeling and vibration analysis to human-machine interface design and corrosion-resistant surface technologies. The lab emphasizes practical, real-world implementation through integration of vision systems, task-level control frameworks, and human factors validation in complex operational environments.
Professor Jusub Jang's research lab specializes in stochastic analysis, particularly focusing on abstract Wiener and Yeh-Wiener spaces, with an emphasis on conditional and generalized Wiener integrals. The lab investigates analytic Feynman integrals and their extensions to Yeh-Wiener spaces, developing new functionals and measure-theoretic frameworks. Key research directions include the construction of generalized conditional Yeh-Wiener integrals, the study of functionals involving quasi-polyhedral and continuous functions, and the extension of classical results from Wiener space to more general domains. The lab also explores the implications of educational trends on mathematical preparation in STEM, linking theoretical analysis with real-world academic challenges.
Professor Jeong Seung-jun's research lab focuses on clinical and translational studies in neurological and urological disorders, with a strong emphasis on biomarker discovery, functional assessment, and patient-centered outcomes. The lab investigates genetic associations in ischemic stroke, particularly involving nitric oxide synthase 1 (NOS1) polymorphisms, and develops clinical tools for rapid screening of sexual dysfunction in women. It also conducts biomechanical and functional evaluations in stroke patients to better understand gait disturbances, balance impairments, and their correlation with clinical outcomes. Additionally, the lab explores predictive factors for urological recurrence after radical nephroureterectomy, integrating clinical, metabolic, and neuroimaging markers.
