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 Namhee Kim's research lab focuses on translational biomedical research with a strong emphasis on infectious diseases, particularly viral and bacterial infections in vulnerable populations. The lab investigates host-pathogen interactions, host immune responses to vaccines (especially SARS-CoV-2), and antimicrobial resistance mechanisms, such as ESBL production in *E. coli*. Their work spans clinical virology, immunology, and microbiology, often combining molecular biology with population-based cohort studies to understand disease progression, seroconversion, and long-term immunity. The lab also explores cellular mechanisms underlying cancer-related pathways, such as nuclear transport of tumor suppressors in breast cancer.
Professor Hyun Kyu Lee's research lab focuses on molecular mechanisms underlying disease progression, particularly in cancer and fibrotic disorders. The lab investigates key signaling pathways involved in radioresistance, osteoclastogenesis, and fibrosis, with an emphasis on identifying novel therapeutic targets such as ERp57, DKK-1, and HDAC. Current research spans in vitro models using primary cells and cell lines, as well as in vivo disease models, including liver fibrosis and renal ischemia. The lab integrates molecular biology, cell signaling, and translational approaches to develop targeted therapies for cancer and chronic organ fibrosis.
Professor Yun-gyu Park's research lab focuses on molecular mechanisms underlying cancer progression, with a central emphasis on cAMP-dependent protein kinase (PKA) signaling, transcriptional regulation, and post-translational modifications in tumorigenesis. The lab investigates how dysregulation of PKA isoforms—particularly the RIα subunit—and extracellular PKA (ECPKA) contributes to cell proliferation and transformation, while exploring novel therapeutic strategies such as decoy oligonucleotides to modulate transcription factor activity. Key research directions include identifying biomarkers for early lung cancer detection through secretome analysis and elucidating stress-induced signaling pathways, such as ATR-GSK-3β-p21 axis, in DNA damage response and cell cycle control. The lab integrates molecular oncology, signal transduction, and translational epigenetics to develop targeted cancer therapies.
Professor Ji Hoon Lee's research lab specializes in advanced control systems and intelligent algorithms for aerospace vehicles, with a strong focus on morphing aircraft dynamics, adaptive flight control, and nonlinear system stabilization. The lab also conducts cutting-edge research in computational mathematics, particularly in harmonic analysis and compensated compactness, and applies these theoretical advances to practical engineering problems. Additionally, the lab develops innovative image processing and path planning techniques for robotics and search-and-rescue applications, emphasizing efficiency and real-time performance. The integration of machine learning, nonlinear control, and optimization lies at the core of the lab’s interdisciplinary approach.
Professor Sok Woo Park's research lab specializes in clinical and translational studies focusing on renal and urological diseases, with a strong emphasis on acute kidney injury, metabolic acidosis in kidney transplant recipients, and the preservation of residual renal function in peritoneal dialysis. The lab also investigates molecular mechanisms in head and neck cancers, particularly the interplay between nitric oxide and inflammatory pathways, and contributes to the management of rare conditions such as lymphatic malformations and recurrent respiratory papillomatosis. Their work bridges basic science insights with practical clinical applications, aiming to improve patient outcomes through early risk prediction and targeted therapies.
Professor Hyeon Jeong Park's research lab specializes in human-centered data systems and collaborative intelligence, focusing on the integration of human intelligence with computational systems. The lab explores innovative approaches to crowdsourcing, structured data collection, and knowledge collaboration in online communities, emphasizing flexible data models, real-time synchronization, and semantic precision. It also investigates socio-behavioral dynamics in human interaction, including emotional expression in performance and the lived experiences of marginalized groups such as lone-parent fathers, using qualitative and mixed-methods research. The lab bridges computer science, social science, and human-computer interaction to design systems that are both technically robust and socially responsive.
Professor Young-Eun Lee's research lab focuses on developmental psychology and child well-being, with a strong emphasis on parenting practices, emotion socialization, and early social-emotional development. The lab investigates how parental behaviors—such as emotion talk, discipline styles, and interparental conflict—affect children’s emotion regulation and behavioral outcomes, particularly in high-risk and low-income families. Research also extends to the cultural and educational dimensions of food and nutrition, exploring the conceptualization of Korean dietary patterns and their health implications. The lab employs mixed-methods approaches, combining observational data, self-reports, and standardized assessments to inform evidence-based interventions.
Professor Jeonghwan Seo's research lab specializes in pediatric endocrinology, with a focus on childhood-onset type 1 diabetes mellitus, precocious puberty, and bone age assessment using artificial intelligence. The lab investigates the long-term clinical course of diabetes, particularly residual C-peptide levels and their association with complications, while also exploring environmental factors such as agricultural pesticides in the development of precocious puberty. A key innovation is the development of a deep learning-based bone age estimation system for accurate prediction of adult height in Korean children and adolescents. The lab integrates clinical epidemiology, endocrine biomarkers, and advanced AI technologies to improve diagnosis and management of pediatric endocrine disorders.
Professor Ji-Won Park's research lab focuses on gastrointestinal and metabolic disorders, with a strong emphasis on the role of the gut microbiota in irritable bowel syndrome and its clinical implications. The lab also investigates aging-related health challenges, including dementia, polypharmacy, and osteoporosis, particularly in the context of underweight and body mass index trajectories. Using large-scale population cohort data and advanced statistical modeling, the lab aims to identify modifiable risk factors and develop predictive models for postoperative complications and chronic disease progression.
Professor Suk Jun Byun's research lab specializes in asset pricing, behavioral finance, and financial econometrics, with a focus on return predictability, market inefficiencies, and investor sentiment. The lab investigates how behavioral biases—such as overconfidence and self-attribution—impact asset prices and trading strategies, particularly through measures like continuing overreaction and lottery-like stock preferences. It also explores advanced volatility modeling, including variance risk premium and stochastic volatility models, using high-frequency data to improve forecasting accuracy. The lab emphasizes both theoretical modeling and empirical testing using extensive market data from U.S. and international equity, currency, and fixed-income markets.
Professor Boseong Kang's research lab specializes in digital health and telemedicine, focusing on leveraging mobile and web-based technologies to enhance clinical decision-making and patient care. Key research directions include mobile teleradiology, smartphone-based teleconsulting for medical imaging, and AI-assisted diagnosis systems—particularly for emergency and critical care settings. The lab also investigates the use of social media platforms for medical knowledge sharing and the application of artificial intelligence in pandemic response, such as rapid diagnosis of infectious diseases like COVID-19.
Professor Eun-Gu Kang's research lab specializes in pediatric and genetic metabolic disorders, with a focus on congenital adrenal hyperplasia, fatty acid oxidation disorders, and neurofibromatosis type 1. The lab investigates the genetic and molecular mechanisms underlying these conditions, emphasizing early diagnosis through newborn screening and the identification of founder mutations in Korean populations. Research also includes clinical phenotyping, genetic counseling, and the development of evidence-based management guidelines for rare genetic diseases in children.
Professor Sangyoon Yi's research lab specializes in organizational behavior, innovation management, and strategic adaptation in dynamic environments. The lab explores how organizations navigate change through routine dynamics, consumer expectation management, and adaptive responses to external pressures—particularly in sustainability-driven industries. It also investigates knowledge integration, learning processes, and the role of design and market context in digital product success, especially in mobile content and gaming markets. Using mixed-methods, including agent-based modeling and empirical data analysis, the lab bridges theoretical insights with practical implications in innovation and organizational performance.
Professor Honguk Woo's research lab specializes in scalable system software, intelligent software engineering, and distributed systems with a focus on real-world deployment challenges. The lab explores advanced techniques in database optimization, mobile networking, and machine learning-driven software development processes—particularly in areas like intelligent bug triage, reinforcement learning for cluster scheduling, and energy-efficient bandwidth aggregation. Their work bridges theoretical innovations with practical systems, emphasizing automation, efficiency, and adaptability in dynamic and heterogeneous computing environments.
Professor Yun-mi Yoo's research lab specializes in pharmacoepidemiology and clinical pharmacology, focusing on the neurological and cognitive effects of commonly prescribed medications. The lab investigates the impact of drug classes such as renin-angiotensin system (RAS) inhibitors and SGLT-2 inhibitors on neurodegenerative diseases like Parkinson’s and Alzheimer’s disease, with particular attention to drug type, blood-brain barrier penetration, and treatment duration. They also examine drug-induced adverse events, including thrombocytopenia from linezolid and CNS-related side effects of opioid–gabapentinoid combinations, using large-scale health claims and electronic medical record data. Their work bridges clinical pharmacology with real-world evidence to inform safer medication use in aging and chronic disease populations.
Professor Jungbeom Cho's research lab specializes in pediatric critical care medicine, focusing on optimizing intensive care outcomes for children in the pediatric intensive care unit (PICU). The lab investigates key clinical factors influencing mortality and morbidity, including nurse staffing ratios, sedation strategies like continuous ketamine infusion, and long-term impacts of conditions such as atopic dermatitis and post-chemotherapy lung disease. Research also spans allergen identification, weaning classification systems, and quality of life in chronic pediatric conditions, emphasizing evidence-based interventions in critical care settings.
Professor Min-A Kim's research lab specializes in maternal-fetal medicine and reproductive health, focusing on identifying and validating noninvasive biomarkers for predicting adverse pregnancy outcomes. The lab investigates inflammatory and hematological markers—such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein—in conditions like preterm birth, preeclampsia, and inflammatory bowel disease (IBD) during pregnancy. Their work emphasizes clinical prediction models and systematic reviews to improve perinatal outcomes through early diagnosis and risk stratification.
Professor Eunjin Son's research lab specializes in auditory neuroscience and otolaryngology, focusing on the molecular and developmental mechanisms underlying cochlear function and inner ear homeostasis. Key research directions include the role of signaling molecules like Sonic hedgehog in cochlear patterning and tonotopic organization, the regulation of endolymphatic pH via Na+/H+ exchangers, and the surgical outcomes and complications of cochlear implantation. The lab integrates molecular biology, imaging, and clinical otology to address both fundamental developmental processes and translational challenges in hearing preservation and restoration.
Professor Yoon-Jung Lee's research lab focuses on consumer behavior, particularly the intersection of gender identity, self-perception, and appearance management in male consumers. The lab explores how sex role identities influence clothing shopping orientations, body image, and psychological well-being, with a strong emphasis on structural modeling and survey-based data analysis. Additional research directions include the impact of technology literacy on mental health in older adults and the role of physical activity and medication adherence in improving quality of life for individuals with epilepsy. The lab integrates social psychology, health behavior, and consumer science to address both individual and public health challenges.
Professor Ye-Jong Park's research lab specializes in surgical oncology with a focus on gastrointestinal malignancies, particularly pancreatic and biliary tract cancers. The lab investigates novel biomarkers—such as circulating tumor cells (CTCs), CA 19-9 dynamics, and metabolic parameters from PET/CT—for predicting prognosis, recurrence, and treatment response. It also evaluates surgical outcomes, including minimally invasive techniques like laparoscopic pancreaticoduodenectomy, and develops predictive models for postoperative complications such as posthepatectomy liver failure. The lab integrates clinical data with advanced imaging and molecular markers to improve personalized treatment strategies in pancreatic and perihilar cholangiocarcinoma.
