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 Chang Woo Myung's research lab specializes in computational materials science, focusing on the atomic-scale understanding and design of advanced energy materials. The lab integrates first-principles simulations with cutting-edge machine learning potentials to investigate complex phenomena in battery materials, perovskites, and quantum materials. Key research directions include the development of accurate and efficient machine learning models for predicting electronic, structural, and dynamic properties, as well as exploring novel quantum phases such as supersolids. The lab also addresses critical challenges in catalysis and energy conversion by combining high-level quantum chemistry methods with scalable simulation frameworks.
Professor Tae Gun Shin's research lab focuses on improving emergency care outcomes through systematic, protocol-driven approaches in critical care settings. The lab investigates resuscitation strategies, including extracorporeal cardiopulmonary resuscitation and early sepsis management, with an emphasis on timely implementation of evidence-based bundles. Research also explores the impact of emergency department crowding on clinical guideline adherence and patient outcomes, particularly in high-acuity conditions like cardiac arrest and septic shock. The lab is committed to optimizing emergency department efficiency and quality of care in resource-constrained environments.
Professor Ju-Hyung Lee's research lab specializes in next-generation wireless communication systems, focusing on non-terrestrial networks (NTNs) that integrate low-Earth orbit (LEO) satellites, high-altitude platforms (HAPs), and unmanned aerial vehicles (UAVs). The lab investigates advanced networking challenges such as trajectory optimization, hybrid RF/Freespace Optical (FSO) communication, and intelligent resource management to enhance end-to-end throughput, energy efficiency, and latency in 6G and beyond-5G systems. A key focus is on applying deep reinforcement learning to solve dynamic, time-varying network control problems in highly mobile and scalable non-terrestrial environments.
Professor Writam Banerjee's research lab specializes in emerging nonvolatile memory technologies, with a strong focus on resistive random-access memory (RRAM) and related oxide-based electronic devices. The lab explores defect engineering, material optimization (particularly HfO₂ and TiOₓ), and novel device architectures to enhance switching speed, endurance, and reliability for next-generation memory and neuromorphic computing applications. A key research direction involves designing electronic synapses using memristive devices to emulate biological neural behavior.
Professor Wooseong Kim's research lab focuses on understanding the impact of spaceflight environments—particularly microgravity—on microbial behavior, with an emphasis on biofilm formation, antibiotic tolerance, and microbial physiology. The lab investigates novel antimicrobial strategies targeting drug-tolerant persister cells of pathogenic bacteria like methicillin-resistant *Staphylococcus aureus* (MRSA), using high-throughput screening and molecular dynamics simulations to identify compounds that disrupt bacterial membranes selectively. A key direction involves repurposing clinically approved drugs, such as bithionol and IMD0354, to combat multidrug-resistant and persistent infections. The lab also explores the intersection of host-pathogen interactions and microbial adaptation in extreme environments, including space stations.
Professor Jung Won Lee's research lab focuses on gastrointestinal diseases, particularly *Helicobacter pylori* eradication and inflammatory bowel disease (IBD). The lab investigates antibiotic resistance mechanisms in *H. pylori*, evaluates novel therapeutic strategies such as sequential therapy and probiotics, and explores small molecular agents targeting inflammatory pathways like NF-κB for IBD treatment. The research integrates clinical microbiology, molecular diagnostics, and preclinical disease modeling to develop effective, targeted therapies.
Professor Jung Tae Kim's research lab specializes in interdisciplinary studies spanning educational technology, biomedical sciences, and cybersecurity. The lab develops innovative models for gamified learning to enhance educational effectiveness through psychological and cognitive factors such as curiosity and control, while also investigating molecular mechanisms in immunology—particularly the role of Wnt5a in B cell survival within germinal centers. In parallel, the lab advances secure media sharing systems in home networks and applies artificial intelligence to detect malicious PowerShell scripts, addressing critical challenges in cybersecurity and digital safety. These diverse research directions reflect a strong commitment to solving real-world problems through technology and biological insight.
Professor Mallory Mativenga's research lab specializes in the development and optimization of high-performance transparent and flexible thin-film transistors (TFTs), with a primary focus on amorphous indium-gallium-zinc-oxide (a-IGZO) semiconductors. The lab explores innovative device architectures—such as bulk accumulation and dual-gate configurations—to enhance mobility, drive current, and bias stability while addressing challenges like self-heating and radiation-induced degradation. Their work spans materials engineering, device physics, and circuit integration for next-generation flexible and transparent electronics, including rollable displays and robust gate drivers. The lab also investigates the fundamental mechanisms of threshold voltage shifts and defect dynamics under electrical and optical stress, aiming to improve long-term reliability in real-world applications.
Professor Lik-Hang Lee's research lab specializes in human-computer interaction, with a strong focus on augmented reality (AR), smart glasses, and the emerging metaverse. The lab explores immersive interaction techniques, including novel input methods like force-sensitive gloves for AR headsets, and investigates how digital and physical realities can be seamlessly integrated through computational arts and interactive urban environments. Research directions emphasize intuitive, user-centered design for wearable AR devices and the development of persistent, shared virtual spaces that enhance everyday human experiences.
Professor Jun Heo's research lab specializes in advanced signal processing and adaptive detection techniques for wireless communication systems, with a focus on iterative detection, soft-input soft-output (SISO) algorithms, and adaptive channel estimation in time-varying fading environments. The lab develops low-complexity, high-performance detection algorithms—such as fixed-lag and adaptive SISO structures—aimed at improving system reliability and spectral efficiency. Additionally, the lab explores applications of these techniques in emerging communication systems and contributes to vaccine design through bioinformatics, particularly in understanding viral evolution for avian influenza H7N9. The research bridges digital communications, information theory, and computational biology.
Professor Mina Park's research lab specializes in clinical and translational neuroimaging, with a focus on advanced magnetic resonance imaging (MRI) techniques for early detection and differentiation of neurological disorders. The lab investigates structural and microstructural brain changes in aging, dementia, and intracranial pathologies such as pituitary adenomas and Rathke cleft cysts using high-field MRI, diffusion tensor imaging, and dynamic contrast-enhanced MRI. A key research direction involves exploring the role of the glymphatic and dural lymphatic systems in aging and neurodegeneration. The lab also examines emerging applications of AI and chatbot technologies in human-computer interaction, particularly in educational and clinical contexts.
Professor Seon Ki Park's research lab specializes in atmospheric and climate sciences, with a focus on severe weather events, cloud microphysics, and land-atmosphere interactions. The lab investigates the dynamics of intense precipitation, such as typhoon-induced downpours and supercell thunderstorms, using high-resolution numerical modeling and sensitivity analyses. It also explores the role of vegetation dynamics and land surface processes in climate modeling, particularly through advanced parameterization schemes in land surface models. Additionally, the lab examines uncertainties in precipitation data sets and the validity of linear approximations in cloud-scale modeling.
Professor Seon Ki Park's research lab specializes in numerical weather prediction, climate modeling, and atmospheric data assimilation, with a strong focus on improving the accuracy of meteorological models through advanced optimization techniques and high-resolution simulations. The lab investigates mesoscale weather systems such as sea breezes and mesoscale convective systems, integrates multi-source observational data (e.g., satellite, radar, in-situ), and develops innovative methods to reduce model uncertainties and enhance predictive capabilities. Current research also extends to renewable energy resource assessment, particularly wind energy potential in regions like Bangladesh, by analyzing atmospheric boundary layer dynamics and long-term climate scenarios.
Professor June Sic Kim's research lab specializes in neural mechanisms underlying cognition, particularly focusing on the neural basis of memory, motor control, and psychiatric disorders such as schizophrenia. The lab employs invasive neurophysiological techniques—primarily intracranial electroencephalography (iEEG) and electrocorticography (ECoG)—to investigate brain oscillations, functional connectivity in networks like the default mode network, and the role of specific brain regions such as the hippocampus and prefrontal cortex. A central theme is understanding how neural dynamics in specific frequency bands relate to cognitive functions and how direct brain stimulation can modulate these processes for clinical applications.
Professor Tiantian Chen's research lab specializes in advanced thermal management and biomedical ultrasound technologies. The lab focuses on developing nanofluids and innovative cooling systems for high-performance electronics, particularly optimizing heat transfer in CPU cooling using TiO2-water nanofluids. In parallel, the lab pioneers novel ultrasound transmission techniques for transcranial applications by designing flexible, gradient acoustic impedance matching layers to enhance ultrasound penetration through the skull. These interdisciplinary efforts bridge materials science, fluid dynamics, and biomedical engineering to address critical challenges in energy efficiency and noninvasive medical diagnostics and therapy.
Professor Jaeyoung Chun's research lab focuses on the intersection of inflammatory bowel disease (IBD) and systemic comorbidities, particularly metabolic and neurological disorders such as diabetes and Parkinson’s disease. The lab investigates the epidemiological and clinical associations between IBD and conditions like cardiovascular disease, cytomegalovirus (CMV) colitis, and rare infections such as those caused by *Delftia acidovorans*. Utilizing large-scale national health insurance claims data from South Korea, the lab emphasizes population-based cohort studies to uncover risk patterns, disease progression, and clinical implications in chronic inflammatory conditions. The research also explores biomarker utility, such as CMV antigenemia, for guiding early therapeutic interventions in refractory IBD.
Professor Kenji Mizumoto's research lab specializes in epidemiological modeling and transmission dynamics of infectious diseases, with a focus on understanding the spread, severity, and hidden transmission patterns of emerging pathogens such as SARS-CoV-2. The lab employs advanced statistical and mathematical modeling techniques to estimate key parameters like the reproduction number (Rt), infection fatality rate (IFR), and asymptomatic transmission, particularly in closed settings like cruise ships and urban outbreaks. Their work integrates surveillance data with seroepidemiological findings to improve real-time estimation of disease burden and inform public health policy. The lab also contributes to validating surveillance methodologies, such as sentinel surveillance in influenza, using serological data for calibration and assessment.
Professor So Hee Kwon's research lab focuses on epigenetic regulation in cancer and disease, with a central emphasis on chromatin-modifying proteins such as HP1 and KDM4 histone demethylases. The lab investigates how these proteins regulate gene expression, chromatin dynamics, and cell fate decisions in both heterochromatin and euchromatin contexts. Key research directions include the molecular mechanisms of HP1 in transcriptional regulation and DNA damage response, as well as the development of selective inhibitors for KDM4 enzymes as potential therapeutic agents. The lab integrates biochemical, cell biological, and proteomic approaches to uncover novel epigenetic targets in cancer and neurodevelopmental disorders.
Professor Myung Chan Gye's research lab focuses on reproductive toxicology and molecular mechanisms underlying male fertility, with a particular emphasis on the impact of environmental factors—such as electromagnetic fields and chemical substances—on reproductive function. The lab investigates cellular and molecular pathways involving ion homeostasis, oxidative stress, and signaling through receptors like CB1 and tight junction proteins (e.g., claudin-1, occludin) in the testis and early embryos. Key research directions include the role of blood-testis barrier integrity, spermatogenesis regulation, and pharmacokinetics of pharmaceutical excipients like ATBC.
Professor Jaemoon Koh's research lab specializes in translational cancer pathology, with a focus on identifying and validating novel biomarkers for improved diagnosis, classification, and prognosis of solid tumors—particularly non-small cell lung cancer (NSCLC) and glioblastoma. The lab employs advanced immunohistochemical and molecular techniques to explore the tumor microenvironment, including the role of tissue-resident immune cells like CD103+ T cells, and develops comprehensive diagnostic algorithms for challenging small biopsy samples. Their work bridges clinical pathology with precision oncology, aiming to enhance patient stratification and therapeutic decision-making.
