Explore research labs at leading universities worldwide — research fields and key papers at a glance.
Professor Sunmee Choi's research lab specializes in revenue management, consumer fairness perceptions, and multichannel pricing strategies within the hospitality and service industries. The lab investigates how information transparency, pricing transparency, and cultural differences influence consumer perceptions of fairness and satisfaction. It also explores the role of government capability, policy knowledge, and public participation in shaping policy satisfaction, particularly in the context of public administration and governance. The lab employs experimental designs, conjoint analysis, and game-theoretic modeling to understand strategic decision-making in competitive and cross-cultural environments.
Professor Sang Kyu Park's research lab specializes in the design, synthesis, and application of advanced organic semiconductors and smart molecular materials. The lab focuses on developing high-performance organic field-effect transistors and solar cells through precise molecular engineering and crystal structure control, emphasizing charge transport efficiency and morphological optimization. A key research direction involves exploring dynamic structural transitions in molecular crystals—such as martensitic transitions—enabling multifunctional properties like superelasticity and shape memory, which bridge the gap between high crystallinity and mechanical flexibility. The lab also investigates nonfullerene acceptors and all-small-molecule bulk heterojunction systems to advance next-generation optoelectronic devices with enhanced efficiency and stability.
Professor Sungyong Mun's research lab specializes in advanced separation science, with a primary focus on simulated moving bed (SMB) chromatography and its applications in biochemical and pharmaceutical purification. The lab develops innovative SMB configurations—such as tandem and multi-zone systems—to enhance separation efficiency, yield, and purity for complex mixtures like insulin, organic acids (e.g., succinic and lactic acid), and other bioproducts. Key research directions include adsorption equilibrium characterization, rate-model simulations, and residence time distribution analysis to optimize system design and operational robustness under real-world variability. The lab also investigates thermodynamic and mass transfer phenomena in size-exclusion and temperature-gradient SMB processes to enable scalable, cost-effective purification processes.
Professor Ni Eun Seo's research lab specializes in abdominal and musculoskeletal radiology, with a strong focus on advanced medical imaging techniques for the diagnosis, staging, and treatment response evaluation of gastrointestinal and hepatobiliary diseases. The lab investigates the diagnostic performance and clinical utility of MRI and CT in conditions such as Crohn’s disease, inflammatory pseudotumors, cholangiopathies, and pancreaticobiliary neoplasms. A central theme is the development and application of non-invasive imaging biomarkers to guide personalized treatment strategies, including organ-sparing approaches after chemoradiotherapy in rectal cancer. The lab also emphasizes comprehensive radiological-pathological correlation to improve diagnostic accuracy and predict clinical outcomes.
Professor Song-Nam Hong's research lab specializes in advanced wireless communication systems, with a focus on signal processing, network information theory, and efficient digital transmission in constrained environments. Key research directions include distributed antenna systems, massive MIMO with low-resolution ADCs, compute-and-forward relaying, and capacity-achieving channel coding techniques such as polar codes. The lab also explores decentralized machine learning for networked systems, particularly in online and federated learning frameworks with provable performance guarantees. These efforts are driven by practical implementation challenges such as finite fronthaul capacity, hardware quantization, and energy efficiency.
Professor Jung Ho Lee's research lab specializes in advancing nuclear magnetic resonance (NMR) spectroscopy for biomolecular studies, with a focus on enhancing sensitivity through innovative polarization techniques such as photochemically induced dynamic nuclear polarization (photo-CIDNP). The lab investigates molecular chaperone mechanisms, particularly the Hsp70-DnaK system, to understand protein folding and conformational dynamics in health and disease. Additionally, the lab explores sustainable bioproduction of platform chemicals using engineered microorganisms, targeting the biosynthesis of C4 compounds like succinic acid and 1,4-butanediol. Their work bridges fundamental biophysics, analytical chemistry, and synthetic biology to address challenges in biomolecular detection and green chemical manufacturing.
Professor Bo La Yun's research lab specializes in medical imaging and targeted cancer theranostics, with a focus on improving breast cancer detection and treatment through advanced imaging techniques and nanotechnology. The lab investigates dynamic contrast-enhanced MRI perfusion parameters to correlate with breast cancer subtypes and prognosis, while also exploring novel contrast agents and drug delivery systems such as trastuzumab-conjugated liposomes for HER2-positive breast cancer. Additionally, the lab evaluates diagnostic accuracy in breast ultrasound and MRI, emphasizing computer-aided diagnosis and the differentiation of challenging brain lesions using multimodal imaging.
Professor Du-Sam Song's research lab specializes in building energy efficiency and indoor environmental quality, focusing on the development of advanced simulation and control strategies for sustainable buildings. The lab investigates meta-modeling techniques for early-stage energy load prediction, indoor air quality and infection risk assessment using CO₂-based rebreathed air fraction analysis, and innovative mechanical ventilation solutions to mitigate stack effects in high-rise buildings. A key research direction involves the integration of smart control systems for heating, cooling, lighting, and automated blinds to optimize energy performance while maintaining occupant comfort. The lab combines field measurements with computational modeling to deliver practical, data-driven solutions for energy conservation in real-world building environments.
Professor Jae Sook Roh's research lab focuses on the hormonal and molecular regulation of reproductive and skeletal development, with a particular emphasis on the roles of peptide hormones such as GDF-9, calcitonin family members, and the impact of environmental factors like caffeine on endocrine and growth processes. The lab investigates signaling pathways in granulosa cells, growth plate chondrocytes, and gonadal function, exploring how these systems contribute to homeostasis and developmental disorders. Key research directions include the regulation of inhibin production, the role of transcription factors like Klf4 in cell fate decisions, and the disruption of bone and reproductive development by caffeine exposure during critical developmental windows. The lab integrates in vivo animal models with in vitro cell culture and molecular biology techniques to elucidate mechanisms underlying endocrine and skeletal pathophysiology.
Professor Jae-Hyuk Cha's research lab specializes in advancing artificial intelligence and deep learning for medical image analysis, with a strong focus on early disease detection and diagnosis across various clinical domains. The lab develops innovative computer vision techniques, particularly deep convolutional neural networks (DCNNs), combined with explainable AI and data augmentation to improve accuracy in detecting skin cancer, lung abnormalities, diabetic retinopathy, and leukemia. A key emphasis is placed on overcoming challenges such as class imbalance, low-contrast lesions, and high-dimensional data through intelligent feature selection and robust model optimization. The lab also explores online healthcare prediction systems to enhance accessibility and reliability in digital health platforms.
Professor Jae Seok Bae's research lab specializes in abdominal radiology, with a primary focus on medical imaging techniques for the diagnosis and management of hepatocellular carcinoma (HCC) and liver diseases. The lab investigates the diagnostic performance of various imaging modalities—such as MRI, CT, elastography, and ultrasonography—particularly in detecting vascularity, hepatic steatosis, portal vein tumor thrombosis, and tumor thrombi in liver cancer. Their work emphasizes improving diagnostic accuracy using advanced imaging protocols and standardized reporting systems like LI-RADS and LR-TIV, with a strong translational focus on correlating imaging findings with histopathological outcomes. The lab also explores interventional radiology applications, including endoscopic balloon dilation and stent placement for gastrointestinal motility disorders.
Professor Byung-Do Jeong's research lab specializes in sustainable and intelligent supply chain systems, focusing on the integration of smart manufacturing, cloud-based production networks, and energy-efficient operations. The lab explores dynamic supply chain design, revenue optimization through data-driven pricing, and the role of renewable energy in enabling flexible, low-carbon production systems. Key research directions include smart factories, digital twin technologies, and decision-making under uncertainty using advanced modeling and analytics.
Professor Sinyoung Ahn's research lab specializes in nephrology and cardiovascular medicine, with a focus on hypertension management, chronic kidney disease (CKD) progression, and the impact of metabolic and hormonal factors on renal and cardiovascular outcomes. The lab investigates novel therapeutic strategies such as DPP-IV inhibitors and lifestyle interventions—including weight reduction—for protecting kidney function and reducing proteinuria in hypertensive and CKD patients. Additionally, the lab explores the role of hormonal factors, particularly menopausal hormone therapy, in the development of end-stage renal disease, emphasizing sex-specific and age-related differences in renal disease risk. Their work integrates clinical trials, observational cohort studies, and molecular mechanisms to improve patient outcomes in renal and cardiovascular diseases.
Professor Dong-Sung Lee's research lab specializes in single-cell multi-omics technologies and epigenomic dynamics, with a focus on understanding cellular heterogeneity, pluripotency regulation, and somatic genome evolution. The lab develops innovative single-nucleus sequencing methods—such as snmCAT-seq—to integrate methylome, chromatin accessibility, and transcriptome profiles at single-cell resolution, enabling high-resolution dissection of cell identity and state transitions. Key research directions include the functional characterization of non-canonical BAF chromatin remodeling complexes in embryonic stem cell pluripotency and the role of somatic retrotransposition in aging and disease. The lab also investigates the epigenetic reprogramming landscape during induced pluripotency, combining multi-omics approaches with computational integration to decode molecular mechanisms of cell fate regulation.
Professor Jun-Won Yun's research lab specializes in nanotoxicology and nanomedicine, focusing on the safety and biological impacts of nanomaterials, particularly silica, silver, and iron oxide nanoparticles, in mammalian systems. The lab investigates the systemic and genotoxic effects of nanoparticles through long-term in vivo toxicity studies, with an emphasis on oral exposure and multi-organ responses. Additionally, the lab explores the therapeutic potential of engineered nanomaterials in cancer immunotherapy and metabolic diseases, including the use of core-shell nanoparticles for antigen delivery and modulation of metabolic pathways via adiponectin and AMPK signaling. A key research direction involves understanding how nanomaterials influence cellular communication, oxidative stress, and liver metabolism, particularly in the context of alcohol-induced liver injury and fatty liver disease.
Professor Hyejin Kang's research lab focuses on the neurobiological mechanisms underlying neuropsychiatric symptoms in neurodegenerative diseases, particularly Alzheimer’s disease, using neuroimaging techniques such as SPECT to map regional cerebral blood flow. The lab also investigates the functional brain networks involved in speech perception under challenging auditory conditions, employing advanced computational methods like persistent homology to analyze network topology. Additionally, the lab explores the structural and functional specificity of metabotropic glutamate receptors, combining computational modeling with biochemical assays to understand ligand selectivity and downstream signaling pathways.
Professor Sung-woo Lee's research lab specializes in spatial econometrics and rural development policy evaluation, focusing on the interplay between urban and rural spatial structures, socioeconomic behavior, and public policy outcomes. The lab conducts advanced quantitative analyses using household-level and regional survey data to examine issues such as crime patterns, commuting behavior, agricultural productivity, and rural development effectiveness. A key strength lies in integrating spatial econometric models with innovative decomposition techniques and multilevel modeling to disentangle policy impacts from regional endowments and spatial heterogeneities. The lab’s work consistently emphasizes evidence-based policy formulation for urban planning, rural sustainability, and social equity in South Korea and beyond.
Professor Hoon Kim's research lab specializes in statistical and epidemiological methods for health data analysis, with a focus on Bayesian hierarchical modeling, spatial and temporal modeling of disease incidence and mortality, and health outcomes in aging populations. The lab develops advanced statistical techniques—such as bivariate Poisson models, conditional autoregressive (CAR) models, and quasi-multiplicative spatio-temporal models—to analyze complex health data with extra-Poisson variation, spatial dependence, and temporal trends. Research themes include cancer incidence and mortality, bone metabolism, muscle strength in postmenopausal women, and fertility preservation in cancer survivors, often using nationally representative survey data and longitudinal designs. The lab emphasizes methodological innovation in Bayesian statistics to improve public health inference and clinical decision-making.
Professor Na-Young Shin's research lab focuses on neuroimaging and biomarker discovery in neurodegenerative diseases, particularly Parkinson’s disease and HIV-associated neurocognitive disorders. The lab investigates structural and functional brain changes using advanced MRI techniques, including perivascular space assessment, cortical thickness analysis, and resting-state fMRI, to identify early predictors of cognitive decline and dementia. A central theme is understanding the interplay between vascular pathology, neurodegeneration, and cognitive impairment at both the population and individual levels through multimodal imaging and machine learning approaches. The lab also explores the genetic and heritable components of brain microvascular changes, contributing to precision medicine in neurodegenerative conditions.
Professor Kyung Ah Jeong's research lab focuses on reproductive health and fertility preservation, with a strong emphasis on the biological mechanisms of ovarian aging and DNA repair in oocytes. The lab investigates molecular pathways—particularly ATM-mediated DNA double-strand break repair—that contribute to primordial follicle depletion with age, using both mouse and human oocyte models. Additional research explores diagnostic imaging techniques for gynecological conditions such as pelvic inflammatory disease and the application of ultrasound in diagnosing polycystic ovary syndrome in virgin patients. The lab also examines the role of nutritional factors in cognitive health among elderly patients with Alzheimer’s disease, highlighting a multidisciplinary approach to women’s health across the lifespan.
