Research labs at Korea's QS Top 10 universities including SNU, KAIST, and Yonsei.
Professor Jae Uk Chun's research lab specializes in organizational behavior, with a focus on transformational and ethical leadership, mentoring relationships, and interpersonal dynamics in the workplace. The lab investigates how leadership behaviors—particularly transformational and humble leadership—impact employee well-being, performance, and organizational citizenship through mechanisms such as leader-member exchange (LMX), trust, and moral identity. Using multilevel and longitudinal designs across diverse organizational contexts, especially in East Asian settings like South Korea, the lab explores the psychological and relational processes that shape positive work outcomes.
Professor Seung-Yeon Lee's research lab focuses on developmental and clinical psychology, with a strong emphasis on adolescent mental health, youth suicide prevention, and social-emotional development in school-aged children. The lab investigates risk and protective factors related to youth suicide, bullying behaviors, and peer relationships through ecological and systemic frameworks, integrating individual, family, school, and societal influences. Research also explores the roles of empathy, attachment, self-regulation, and social competence in shaping prosocial and antisocial behaviors among children and adolescents.
Professor Wan-ho Lee's research lab specializes in advanced materials and biomedical systems, focusing on the design and application of functional nanomaterials for energy, electronics, and biomedicine. Key research directions include the theoretical and experimental investigation of two-photon absorption in octupolar molecules for optoelectronic applications, the development of flexible graphene-based ferroelectric memory devices, and the engineering of high-performance radiation detectors for nuclear safety. The lab also explores multiscale modeling of cancer cell migration and RNA editing mechanisms, highlighting a strong interdisciplinary focus on materials science, nanoelectronics, and computational biology.
Professor Young-Gyun Park's research lab focuses on mapping the cellular and circuit-level architecture of the brain using advanced neurotechnologies, with an emphasis on understanding neural circuits underlying behavior, memory, and stress responses. The lab pioneers scalable, high-throughput methods for whole-brain phenotyping and 3D neuroanatomy, such as eFLASH for uniform tissue labeling and engram mapping techniques to identify memory-encoding neuronal ensembles across brain regions. By integrating single-cell resolution data with whole-brain imaging and computational frameworks like the Mouse Brain 3D Common Coordinate Framework, the lab aims to establish a comprehensive, multi-scale understanding of brain function and dysfunction. Their work bridges systems neuroscience with translational insights into neuropsychiatric disorders.
Professor Hong-Sik Yoon's research lab specializes in geospatial modeling, environmental hazard prediction, and high-precision geodetic applications. The lab focuses on integrating GIS, remote sensing, and advanced statistical or physical models to address challenges in natural disaster risk assessment—particularly landslides and road icing—while also advancing precision geoid modeling and real-time positioning systems. Research spans from theoretical modeling of solar phenomena to practical applications in environmental monitoring and transportation safety.
Professor Hee-Kyung Joh's research lab focuses on population health and preventive medicine, with a strong emphasis on chronic disease epidemiology, particularly the interplay between metabolic disorders, cancer, and aging. The lab investigates the associations between conditions such as type 2 diabetes, obesity, vitamin D status, and allergic diseases with cancer (especially renal cell carcinoma) and dementia. It also explores health disparities, patient-centered care, and quality of life in aging populations, with a particular focus on Korean and East Asian populations.
Professor Feng Tian's research lab focuses on innovation management, supply chain traceability, and knowledge-driven organizational performance, particularly in high-tech and education sectors. The lab explores the integration of emerging technologies—such as blockchain and RFID—in enhancing food safety and supply chain transparency, while also investigating leadership, knowledge sharing, and innovation capability in R&D and academic environments. The research emphasizes decentralized systems, digital transformation, and the role of trust and organizational culture in fostering creativity and competitiveness.
Professor Martin Ziegler's research spans mathematical logic, computability theory, and their applications in analysis and topology. His work focuses on the interplay between computability and continuity in real functions, exploring relaxed computability concepts such as the jump of a representation and oracle computation to handle discontinuous functions. He also investigates topological lower bounds for graph coloring using algebraic topology, particularly through the lens of the Borsuk-Ulam theorem, and contributes to model theory by examining definable automorphisms and their logical properties. His research bridges abstract logic with concrete computational and topological structures.
Professor Sun-Hwa Lee's research lab focuses on translational biomedical research, integrating molecular biology, medical imaging, and clinical epidemiology to investigate the interplay between microbiota, metabolic disorders, and chronic diseases. Key research directions include understanding the role of early-life microbial colonization in allergic sensitization, evaluating advanced imaging techniques for musculoskeletal disorders, and assessing the predictive value of non-invasive imaging biomarkers for cardiovascular and liver diseases. The lab also explores neurodegenerative mechanisms, particularly in amyotrophic lateral sclerosis (ALS), with a focus on systemic manifestations such as liver involvement. These multidisciplinary efforts aim to improve early diagnosis, risk prediction, and mechanistic understanding of complex human diseases.
Professor Tack Kyun Kwon's research lab specializes in laryngeal phonosurgery and injectable laryngoplasty, focusing on the clinical application and long-term safety of biomaterials such as calcium hydroxylapatite (CaHA) and hyaluronic acid (HA) for vocal fold augmentation. The lab investigates the radiological behavior of these injectables using CT and PET imaging, evaluates their efficacy in conditions like presbylaryngis and unilateral vocal fold paralysis, and explores the immunogenetic basis of laryngeal diseases such as recurrent respiratory papillomatosis. A key emphasis is placed on office-based, minimally invasive procedures performed under local anesthesia, with long-term outcomes and complication profiles analyzed over a decade of clinical practice.
Professor Moonil Kim's research lab specializes in advanced microwave and millimeter-wave technologies, with a strong focus on RF MEMS devices, high-frequency power amplifiers, and photonic crystal waveguides. The lab develops innovative components such as true-time delay networks, grid amplifiers, and reconfigurable power amplifiers for high-performance wireless communication systems. Additionally, the lab explores emerging applications in biosensors and sustainable energy technologies, including advanced anaerobic digestion systems. Their work bridges semiconductor device engineering, microwave circuit design, and interdisciplinary applications in biomedicine and environmental engineering.
Professor Eun Jung Lee's research lab focuses on neurodegenerative diseases, particularly Parkinson’s disease, with an emphasis on the role of alpha-synuclein and matrix metalloproteinases (MMPs) in neuroinflammation and microglial activation. The lab also investigates the therapeutic potential of bioactive peptides, such as β-LAP, in mitigating neuroinflammatory and oxidative stress responses. Additionally, the lab contributes to clinical neuroscience through the development of predictive scoring systems for asymptomatic intracranial meningiomas, aiming to improve risk stratification and treatment decisions. The integration of molecular mechanisms with clinical applications defines the lab’s translational research approach.
Professor Won Son's research lab focuses on hepatology and molecular biomarkers, with a strong emphasis on liver diseases such as hepatocellular carcinoma (HCC), nonalcoholic fatty liver disease (NAFLD), and chronic hepatitis B (CHB). The lab investigates novel serological biomarkers—particularly serum exosomal and circulating microRNAs—alongside clinical risk prediction models to improve early diagnosis and risk stratification. Additional research directions include the role of metabolic factors (e.g., zinc, obesity, BMI) and neuroimmune mediators (e.g., substance P, VIP) in liver fibrosis and gastrointestinal disorders like IBS-D. The lab integrates clinical epidemiology with molecular diagnostics to advance precision medicine in liver disease.
Professor Migyeong Yang's research lab specializes in perioperative medicine and critical care anesthesiology, with a focus on optimizing surgical outcomes in thoracic and esophageal surgery patients. The lab investigates hemodynamic monitoring, fluid management, and multimodal pain control strategies to reduce postoperative complications such as acute kidney injury, delirium, and respiratory dysfunction. Key research directions include the application of dynamic preload indicators like stroke volume variation in thoracic anesthesia, the integration of cryoanalgesia with epidural analgesia, and the impact of surgical approach—such as robotic versus open esophagectomy—on postoperative neurocognitive outcomes. The lab also explores the effects of anesthetic techniques on cerebrospinal fluid dynamics and patient recovery.
Professor Cheolbeom Park's research lab specializes in financial economics with a focus on the interplay between macroeconomic fundamentals, demographic dynamics, and asset pricing. The lab investigates how oil market shocks, investor sentiment, and population structure—particularly age distribution—affect stock returns, interest rates, and market expectations. Using advanced econometric methods such as nonparametric models and forecast dispersion analysis, the lab emphasizes empirical rigor and robustness in understanding behavioral and structural drivers of financial markets. The research also extends to behavioral finance, examining short-term sentiment effects and their implications for market efficiency.
Professor Duk-young Min's research lab focuses on parasitic helminths and protozoan infections, particularly in Southeast Asia, with a strong emphasis on the epidemiology, immunology, and host-parasite interactions of trematodes such as *Opisthorchis viverrini* and *Haplorchis* spp. The lab investigates the molecular mechanisms of parasite-induced host cell death, neutrophil and eosinophil responses, and the pathophysiology of intestinal and liver fluke infections. Their work combines clinical parasitology, immunology, and parasitology to understand disease transmission, host immune evasion, and potential therapeutic interventions in endemic regions like Laos.
Professor Yun-hee Choi's research lab focuses on neurodegenerative diseases, aging-related brain changes, and cancer biology, with a particular emphasis on molecular mechanisms underlying neuroinflammation, tumor suppressor protein regulation, and cellular aging. The lab investigates therapeutic strategies using exosomes and bioactive compounds to modulate key signaling pathways such as NF-κB and IκB in age-related and pathological conditions. Additionally, the lab explores early intervention strategies in developmental disorders through parent-child interaction programs and evaluates diagnostic imaging protocols in pediatric head trauma.
Professor Kyung Hyun Kim's research spans interdisciplinary studies at the intersection of cultural studies, media studies, and science and technology studies, with a focus on Korean popular culture, digital media, and the socio-technical dimensions of contemporary Korean society. His lab investigates the global impact of the Korean Wave (Hallyu), including film, television, internet culture, and digital subcultures such as PC bangs and online fandoms. The lab also explores the scientific and technological foundations of emerging materials and green chemistry, particularly in CO2-philic molecules and supercritical CO2 applications. These diverse yet interconnected research directions reflect a commitment to understanding both the cultural transformations and scientific innovations shaping modern Korea and their global implications.
Professor Jae-sung Jang's research lab focuses on neuropsychiatry and metabolic health, with a strong emphasis on the neurobiological and metabolic mechanisms underlying psychiatric disorders such as schizophrenia, bipolar disorder, and major depressive disorder. The lab investigates neuroelectrical and autonomic nervous system markers in mood and psychotic disorders, while also exploring myokines—particularly irisin—as potential biomarkers for sarcopenia and muscle atrophy. A key research direction involves evaluating the therapeutic potential of novel pharmacological and non-pharmacological interventions, including clozapine augmentation and exercise-mimetic models, to improve clinical outcomes in treatment-resistant psychiatric conditions. The lab integrates clinical neuroscience with translational physiology to bridge molecular mechanisms with patient-centered outcomes.
Professor Minjoon Seo's research lab specializes in advancing artificial intelligence for complex reasoning and understanding across multimodal and structured data. The lab focuses on machine comprehension, particularly in multi-modal settings that integrate text, diagrams, and images—evidenced by projects like TQA and GEOS, which tackle real-world educational reasoning tasks such as SAT geometry problems. The lab also pioneers in Natural Language to SQL (NL2SQL) generation, aiming to bridge natural language queries with structured database queries using advanced pre-trained models. A central theme across their work is the integration of symbolic reasoning with neural networks to improve interpretability, generalization, and performance on real-world benchmarks.
