探索全球顶尖大学的研究室——研究领域与主要论文一览无余。
Professor Eun-Sang Lee's research lab focuses on translational and clinical oncology, with a strong emphasis on improving outcomes in hematopoietic stem cell transplantation and cancer therapy. The lab investigates pharmacogenomics, particularly NUDT15 variants and their impact on thiopurine toxicity, as well as strategies to optimize treatment in acute leukemia and lymphoma. Research also extends to radiation-induced injury, exploring radioprotective agents like auranofin to mitigate intestinal damage. Additionally, the lab examines infectious complications—especially cytomegalovirus in cord blood transplant recipients—and prognostic biomarkers such as serum neuron-specific enolase in relapsed hematologic malignancies.
Professor Jaegum Sim's research lab specializes in clinical anesthesiology and perioperative medicine, with a strong focus on improving patient outcomes through innovative pain management, advanced monitoring techniques, and data-driven clinical prediction models. The lab investigates novel anesthetic strategies such as erector spinae plane blocks and carbohydrate loading to enhance postoperative recovery and reduce complications like nausea, vomiting, and emergence agitation. A central theme in the lab’s work is the application of machine learning and big data analytics to predict and prevent postoperative complications, including chronic low back pain and pulmonary aspiration risk. The lab also explores public health dynamics, such as vaccine sentiment during the COVID-19 pandemic, using social media analytics.
Professor Sung Hyun Hyun's research lab specializes in organizational behavior and service management within the aviation and hospitality industries, with a strong focus on employee well-being, job satisfaction, and customer service dynamics. The lab investigates key factors influencing workplace well-being, role stress, emotional labor, and organizational commitment among frontline service employees—particularly flight attendants—while also exploring customer behavior, social media engagement, and conflict management in high-pressure service environments. Research directions include the psychological and organizational determinants of job performance, work-life balance, and brand loyalty in service sectors.
Professor Han-Chul Cho's research lab specializes in advanced aerospace dynamics and control, with a focus on satellite formation flying, optimal trajectory design, and nonlinear control methodologies. The lab develops analytical and exact solutions for complex space missions involving relative motion, reconfiguration, and attitude control under realistic orbital perturbations. Key research directions include the application of advanced analytical mechanics—such as the Udwadia-Kalaba approach—to derive exact control laws without linearization, and the integration of model predictive control with pre-designed linear controllers for constrained systems. The lab emphasizes closed-form solutions and high-fidelity modeling to enable precise, fuel-efficient, and robust spacecraft operations in both circular and elliptic orbits.
Professor Jeongcheon Ahn's research lab specializes in cardiovascular disease mechanisms, with a focus on arrhythmia substrates, aortic stiffness, and vascular aging. The lab investigates hemodynamic and electrophysiological markers—such as action potential duration restitution and pulse wave velocity—that predict ventricular tachycardia/fibrillation and coronary artery disease severity. It also explores pharmacological interventions, including statins and antiplatelet agents, to modulate vascular and thrombotic risk in high-risk patients. The lab integrates invasive hemodynamic measurements with clinical outcomes to identify novel biomarkers and therapeutic targets in cardiovascular disease.
Professor Yul-Hwa Kim's research lab specializes in energy-efficient hardware accelerators for deep neural networks, with a focus on in-memory computing using emerging non-volatile memory technologies such as RRAM and SRAM. The lab pioneers novel circuit and architecture-level optimizations to enhance area and energy efficiency in neural network inference, particularly through precision-scalable designs, multilevel RRAM utilization, and innovative dataflow schemes. Key research directions include hardware-aware quantization, in-memory computation with resistive crossbar arrays, and monolithic integration of memory and logic for AI workloads.
Professor Jong Woo Hahn's research lab specializes in epidemiological and clinical studies focusing on rare and chronic gastrointestinal and autoimmune disorders, including autoimmune hepatitis, chronic rhinosinusitis, and achalasia. The lab conducts large-scale systematic reviews and meta-analyses to assess global, regional, and national trends in incidence, prevalence, and disease burden, with a strong emphasis on population-based data and health policy implications. The lab also investigates genetic variants in rare pediatric conditions such as congenital internal pudendal artery occlusion (CIPO), integrating clinical, radiological, and pathological findings. Their work bridges clinical medicine, public health, and health policy to inform global health strategies.
Professor Tae Gyun Park's research lab specializes in the historical and political analysis of state development, economic policy, and foreign relations in East Asia, with a particular focus on South Korea’s developmental state model, U.S. foreign policy during the Cold War, and the long-term implications of military and economic interventions. The lab examines the interplay between state capacity, industrialization strategies, and international relations, especially in the context of U.S.-South Korea relations and post-Korean War security architecture. It also investigates contested historical narratives in education and public memory, particularly regarding national identity and textbook controversies.
Professor Choi Seibum's research lab specializes in advanced control systems and mechatronic technologies for automotive powertrains and braking systems. The lab focuses on developing robust, adaptive, and observer-based control strategies for complex, nonlinear systems such as internal combustion engines, dual-clutch transmissions, and electronic brake systems. Key research directions include real-time torque and air-to-fuel ratio estimation, sensor signal compensation, and mitigation of system uncertainties and parametric variations in harsh operating environments. The lab emphasizes practical implementation of intelligent control algorithms for on-road vehicle applications.
Professor Yun-Goo Lee's research lab focuses on advancing lithium-ion battery technology by investigating degradation mechanisms and optimizing electrode materials at multiple scales. The lab specializes in understanding manganese dissolution in spinel-type cathodes, its impact on interfacial resistance, side reactions, and lithium inventory loss, with an emphasis on the roles of electrode composition, surface structure, and doping. Using a combination of experimental techniques and physics-based electrochemical modeling, the lab aims to develop durable, high-performance battery materials through systematic optimization of active materials, conductive additives, and binders. The research also extends to innovative applications in nanomedicine, particularly in electromagnetic actuation of nanorobots for targeted cancer therapy.
Professor Kyuwon Lee's research lab focuses on neuroprotection and glial cell biology, with a central emphasis on the molecular regulation of glutamate transporters—particularly GLT-1 and EAAT2—in astrocytes. The lab investigates how these transporters are transcriptionally regulated by signaling pathways involving transcription factors (e.g., YY1), G protein-coupled receptors (e.g., GPR30), and neuroactive compounds (e.g., tamoxifen, estradiol), aiming to develop novel neuroprotective strategies against excitotoxicity in neurodegenerative diseases. Additionally, the lab explores the application of artificial intelligence and wearable sensors in clinical rehabilitation, particularly for monitoring shoulder exercises in patients with pain. The integration of molecular neuroscience with translational technologies defines the lab’s interdisciplinary approach.
Professor In-Ha Jung's research lab focuses on the intersection of urban planning, architectural modernization, and socialist urbanism, particularly in East Asia during the 20th century. The lab explores historical urban development in Korea and North Korea, emphasizing the influence of colonial and socialist planning ideologies, including Japanese colonial town planning and the Soviet-inspired microdistrict model. Research also examines architectural responses to industrialization, modernization, and post-war reconstruction, with a focus on housing design, urban morphology, and the socio-political dimensions of built environments.
Professor Bi-O Ju's research lab specializes in advanced neuroimaging and artificial intelligence applications for neurological disorders, with a focus on improving diagnostic accuracy and understanding disease mechanisms. The lab develops and validates deep learning models for automated detection of intracranial aneurysms and brain metastases, leveraging MRI techniques such as TOF MRA and DCE-MRI. Key research directions include assessing tumor vascularity and permeability, characterizing meningeal lymphatic function in aging and disease, and exploring the clinical significance of necrosis in brain metastases. The lab integrates quantitative imaging biomarkers with machine learning to enhance early diagnosis and personalized treatment planning in neuro-oncology and neurodegenerative diseases.
Professor Wonseok Oh's research lab specializes in integrated circuit design, with a strong focus on low-noise, low-dropout (LDO) regulators for deep-submicron analog and RF system-on-chip applications. The lab develops advanced amplifier architectures—such as current-mode feedback amplifiers (CFAs) and chopper-stabilized error amplifiers—to achieve high performance in power management circuits, emphasizing low 1/f noise, fast transient response, and area efficiency. Additionally, the lab explores intelligent control systems using evolutionary algorithms and contributes to automated program repair in dynamic languages like Python, demonstrating a multidisciplinary approach bridging analog electronics and software engineering. The lab’s work consistently targets real-world challenges in integrated circuit reliability, performance, and practical deployability.
Professor Jahyun Cho's research lab specializes in infectious diseases, with a primary focus on HIV/AIDS, hepatitis C virus (HCV) coinfection, and immune reconstitution inflammatory syndrome (IRIS) in the context of antiretroviral therapy. The lab investigates clinical outcomes, adherence to treatment, and complications such as spontaneous bacterial peritonitis and tuberculosis, particularly in the setting of immune reconstitution. Recent work also explores the integration of artificial intelligence in medical imaging, particularly for improving the accuracy and efficiency of chest radiograph interpretation. The lab combines clinical epidemiology, infectious disease management, and emerging digital health technologies to enhance patient outcomes in chronic viral infections.
Professor Yong Jin Kwon's research lab specializes in advanced polymer materials and their applications, with a strong focus on the modification and characterization of polyethylene-based composites. The lab investigates decrosslinking processes under supercritical conditions to tailor viscoelastic and flame-retardant properties, aiming to develop safer, high-performance materials for industrial and biomedical uses. Additionally, the lab explores healthcare-related data analytics, particularly in liver disease progression and mortality prediction using longitudinal biomarker data.
Professor Sang-Bum Cho's research lab specializes in spacecraft multibody dynamics and control, focusing on the modeling, analysis, and control of complex space vehicles with flexible or movable components. The lab develops advanced nonlinear control systems for attitude stabilization and trajectory control, particularly in the presence of dynamic couplings such as fuel sloshing, reaction wheels, and proof mass actuators. Research spans theoretical developments in geometric mechanics and practical testbed validation using platforms like the Triaxial Attitude Control Testbed (TACT). The lab also explores topological and algebraic structures in knot theory, particularly in relation to 3-manifold topology and Heegaard splittings, showcasing a unique interdisciplinary approach.
Professor Sung-sin Shim's research lab specializes in maternal-fetal medicine and diagnostic imaging, with a focus on improving prenatal diagnosis and maternal-fetal outcomes. The lab investigates biomarkers such as PAPP-A, sFlt-1/PlGF ratio, and AMH to predict fetal chromosomal abnormalities and preeclampsia, particularly in high-risk pregnancies. It also explores advanced imaging techniques, including cone beam CT-guided biopsies and fluoroscopy, to enhance diagnostic accuracy in pulmonary and oncological conditions. Additionally, the lab contributes to laryngeal interventions, evaluating alternative approaches for vocal fold paralysis in patients with prior neck surgeries.
Professor Young Goo Kim's research lab specializes in biomedical engineering and neurosurgical applications, focusing on non-invasive neuromodulation techniques such as transcranial focused ultrasound (tFUS) for treating neurological and psychiatric disorders. The lab investigates the effects of tFUS on brain network modulation, particularly targeting the medial prefrontal cortex to improve emotional and sleep regulation. Additionally, the lab conducts advanced mechanical analysis of adhesive joints in biomedical and structural applications, emphasizing the nonlinear behavior and residual stresses in rubber-toughened epoxy adhesives. A significant portion of the research also involves clinical neuro-oncology, particularly stereotactic radiosurgery for rare intracranial tumors such as jugular foramen schwannomas and primary leptomeningeal gliomas.
Professor Kihyun Kim's research spans multiple interdisciplinary domains, focusing on cancer biology, particularly the role of receptor tyrosine kinase signaling such as cMET in tumor progression and drug resistance, with translational implications for anticancer therapy. His work also extends to renewable energy systems, including the design and analysis of high-efficiency, direct-drive permanent magnet generators for urban water pipeline energy harvesting. Additionally, he contributes to mathematical physics through rigorous analysis of nonlinear partial differential equations, such as the generalized Benjamin–Ono and Chern-Simons–Schrödinger equations, emphasizing well-posedness and soliton dynamics. In parallel, his research in epistemology explores the nature of rational belief and justification, particularly through a diachronic (time-sensitive) framework that challenges traditional evidentialist views in philosophy of knowledge.
