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 Yongseok Hong's research lab specializes in environmental chemistry and biogeochemistry, focusing on the fate, transformation, and toxicity of mercury and other contaminants in aquatic and terrestrial ecosystems. The lab investigates mercury methylation, speciation, and biomagnification in food webs, particularly in coastal and estuarine environments such as Sarasota Bay and the Mekong Delta. Key research directions include the role of microbial communities in mercury cycling, the impact of geochemical conditions on metal speciation, and the development of advanced monitoring techniques for trace metals and plasticizers in sediments and water. The lab also explores innovative solutions for mercury control in industrial wastewater and air emissions, emphasizing the formation and re-emission of volatile mercury species.
Professor Baek Hwan Cho's research lab specializes in the development and application of advanced machine learning and artificial intelligence techniques in medical imaging and cognitive neuroscience. The lab focuses on leveraging deep learning, support vector machines, and novel kernel methods for accurate medical diagnosis and risk factor analysis, particularly in ophthalmology, cardiology, and musculoskeletal radiology. A key research direction involves integrating virtual reality and neurofeedback for non-invasive cognitive training and attention enhancement in adolescents. The lab also emphasizes interpretability and clinical usability of AI models through innovative visualization tools such as nomograms and localized kernel functions.
Professor Jong Hoon Ryu's research lab specializes in neuropharmacology and neuroinflammation, focusing on the therapeutic potential of natural compounds in neurological disorders. The lab investigates how bioactive phytochemicals, such as eupatilin and tanshinone I, modulate microglial activation and neuroinflammatory pathways to exert neuroprotective effects. Current research directions include elucidating the molecular mechanisms of these compounds in stroke (e.g., focal cerebral ischemia) and cognitive impairment models, particularly through modulation of intracellular signaling pathways like ERK. The lab also explores the role of microglia in neurodegenerative and neurodevelopmental conditions, aiming to develop natural product-based therapies.
Professor Kazunori Kohri's research spans theoretical high-energy astrophysics and cosmology, with a focus on primordial gravitational waves, dark matter candidates such as gravitinos and primordial black holes, and the astrophysical origins of supermassive and intermediate-mass black holes. His work investigates the implications of early-universe physics on observable phenomena, including cosmic microwave background distortions, big-bang nucleosynthesis, and stochastic gravitational-wave backgrounds detected via pulsar timing arrays. He employs analytical and numerical methods to explore second-order gravitational wave production, black hole accretion tori, and the role of primordial density perturbations in structure formation.
Professor Shigeru Yamago's research lab specializes in the synthesis and characterization of novel π-conjugated molecules and nanocarbons, with a focus on cycloparaphenylenes (CPPs) and their supramolecular assemblies. The lab develops innovative transition-metal-catalyzed methodologies—particularly using platinum and organotellurium reagents—for the precise construction of strained, three-dimensional π-systems and controlled polymerizations. Their work bridges molecular design, supramolecular chemistry, and materials science, enabling applications in carbon nanotube encapsulation, molecular sorting, and functional polymer synthesis. The lab is also known for pioneering methods to achieve high-yield, selective synthesis of complex nanocarbon architectures under mild conditions.
Professor Van An Dinh's research lab specializes in computational materials science, focusing on the electronic, structural, and electrochemical properties of advanced materials for energy storage and environmental sensing. Key research directions include the development and application of density functional theory (DFT) with non-local van der Waals corrections to study ion diffusion mechanisms in sodium-ion battery materials, such as NASICON-type compounds, and the interaction of 2D materials like borophene and graphene with gas molecules for sensing applications. The lab also investigates diluted magnetic semiconductors for spintronic applications through codoping strategies to enhance magnetic transition temperatures. Their work combines first-principles calculations with detailed analysis of charge transfer, adsorption energetics, and diffusion pathways to guide the design of next-generation functional materials.
Professor Seokhee Kim's research lab specializes in the discovery, characterization, and engineering of natural products, with a focus on ribosomally synthesized and post-translationally modified peptides (RiPPs). The lab investigates the enzymatic mechanisms underlying complex macrocyclic and biaryl linkages in natural products, particularly those catalyzed by cytochrome P450 enzymes and other tailoring enzymes. Using a combination of genomics, biochemistry, structural biology, and synthetic biology, the lab explores the biosynthesis of diverse natural products with potential therapeutic applications, including antibiotics and bioactive peptides. They also develop innovative tools for in vivo protein evolution to accelerate the discovery and optimization of novel enzymes and biomolecules.
Professor Seong-Mi Park's research lab focuses on molecular mechanisms underlying cancer progression and treatment resistance, with a central emphasis on signaling pathways involving NF-κB, p53, mTOR, and RIP1. The lab investigates how key regulatory proteins such as receptor-interacting protein 1 (RIP1) modulate tumor suppressor functions and oncogenic signaling, particularly in glioblastoma and other malignancies. Additional research explores translational control via internal ribosomal entry sites (IRES) and their role in viral and cellular gene expression. The lab also examines cardiovascular implications of molecular signaling, including arterial stiffness and endothelial dysfunction in hypertension.
Professor Jaekyeong Kim's research lab specializes in data-driven intelligent systems with a focus on natural language processing, computer vision, and machine learning applications in real-world domains such as human resource management, travel recommendation, advertising, and healthcare. The lab develops advanced recommender systems that integrate multimodal data—text, images, and facial expressions—while emphasizing semantic understanding, sentiment analysis, and user preference modeling. A key research direction involves overcoming data sparsity and improving prediction accuracy by leveraging complementary information from diverse data sources and enhancing the consistency between textual reviews and numerical ratings.
Professor Bombi Lee's research lab focuses on the neuropharmacological mechanisms underlying neuropsychiatric disorders, with a primary emphasis on neuroinflammation, neurotrophic factors, and monoaminergic systems. The lab investigates natural compounds—such as berberine, quercetin, baicalein, and acupuncture—to understand their potential in treating cognitive deficits, depression, anxiety, and stress-related disorders. Key research directions include modulating the HPA axis, cholinergic function, BDNF/CREB signaling, and pro-inflammatory cytokines in rodent models of neurodegeneration and psychiatric disease. The lab integrates behavioral tests, neurochemical analyses, and molecular biology to identify novel therapeutic targets and mechanisms.
Professor Eun-Jung Park's research lab focuses on molecular mechanisms underlying inflammatory diseases, DNA repair, and metabolic disorders, with a particular emphasis on transcriptional regulation, stem cell therapy, and natural product discovery. The lab investigates the therapeutic potential of PPAR-gamma agonists in neuroinflammation, explores adipose-derived stem cells for regenerative medicine in conditions like Parry-Romberg disease, and examines the role of chromatin structure in DNA double-strand break repair. Additionally, the lab studies bioactive compounds from medicinal plants for their antioxidant and cytoprotective properties, and evaluates probiotics in non-alcoholic fatty liver disease. These interdisciplinary efforts integrate molecular biology, stem cell biology, and natural product chemistry to develop novel therapeutic strategies.
Professor Claudio Feliciani's research lab specializes in pedestrian dynamics and crowd safety, focusing on understanding human behavior in complex flow scenarios such as bidirectional movement, evacuation processes, and non-signalized crosswalks. The lab conducts experimental and computational studies to analyze lane formation, congestion patterns, and the impact of environmental obstacles or traffic control measures on pedestrian flow efficiency and safety. A key focus is on developing data-driven models—particularly using Cellular Automata and car-following frameworks—to support urban planning and decision-making in pedestrian infrastructure. The lab also maintains a comprehensive historical database of crowd accidents to inform risk assessment and prevention strategies.
Professor Daisuke Nishi's research lab specializes in mental health epidemiology and psychological resilience, with a focus on trauma-related disorders, peritraumatic stress, and post-traumatic growth (PTG) in diverse populations such as accident survivors and disaster responders. The lab conducts psychometric evaluations of mental health instruments in Japanese contexts, including the Resilience Scale and the Edinburgh Postnatal Depression Scale, to improve screening accuracy and clinical utility. A key research direction involves understanding the dual nature of PTG as both a sign of coping success and a marker of ongoing distress, particularly in the aftermath of disasters like the Great East Japan Earthquake. The lab also contributes to public health policy by analyzing trends in mental disorder prevalence and mental health service use in Japan and internationally.
Professor Takeshi Tsuji's research lab specializes in marine geophysics and rock physics, focusing on understanding subduction zone dynamics, pore pressure evolution, and fault mechanics in active tectonic regions such as the Nankai Trough and the 2011 Tohoku-oki earthquake area. The lab integrates seismic tomography, ocean-bottom seismometry, InSAR, and laboratory rock physics data to model effective stress, fluid overpressure, and seismic anisotropy. A key focus is linking subsurface physical properties to earthquake processes, including fault reactivation, aseismic deformation, and tsunami generation.
Professor Yohei Okada's research lab focuses on molecular and translational biology, with a strong emphasis on tumor suppressor proteins such as p51(p63) and their roles in cellular stress responses and cancer biology. The lab also investigates neuroendocrine regulation, particularly the function of gonadotropin-releasing hormones (GnRH I and II) and their impact on reproductive hormone secretion. Additionally, the lab explores the application of artificial intelligence and machine learning in emergency medicine and resuscitation science, aiming to enhance clinical decision-making through explainable AI. These diverse research directions reflect a commitment to understanding fundamental biological mechanisms and translating them into clinical innovations.
Professor Naoki Ishida's research lab specializes in the development of innovative transition-metal-catalyzed and photoinduced transformations for the selective functionalization of C–H and C–X bonds. The lab focuses on constructing complex organic molecules from simple, readily available substrates through novel bond-forming and bond-cleaving processes, particularly involving CO₂ fixation, borylation, and skeletal rearrangements. Key themes include the design of sustainable catalytic systems for C–H activation, the synthesis of functionalized heterocycles and carbocycles, and the application of these methods to the efficient synthesis of pharmacologically relevant scaffolds and materials with π-conjugated or boron-containing frameworks. The research emphasizes atom-economical, step-efficient methodologies under mild conditions, often leveraging visible or UV light activation and earth-abundant or base-metal catalysts.
Professor Hyo Suk Nam's research lab specializes in clinical and translational research focused on stroke outcomes, cardiovascular disease biomarkers, and predictive modeling. The lab investigates pathophysiological mechanisms such as trimethylamine N-oxide (TMAO) in atherosclerosis and post-stroke prognosis, integrating biomarkers with clinical data. Using advanced statistical methods like Bayesian networks, the lab develops interpretable, high-accuracy prediction models for functional outcomes and mortality after stroke, aiming to improve clinical decision-making. The research also emphasizes quality improvement in stroke care through implementation of clinical decision support systems.
Professor Sang Woo Kim's research lab specializes in intelligent fault diagnosis and condition monitoring, with a strong focus on advanced signal processing, machine learning, and deep learning techniques for industrial applications. The lab develops innovative methods for defect detection in steel surfaces using optimized lighting and filtering, diagnostic systems for lithium-ion batteries combining capacity and fault co-diagnosis, and novelty detection frameworks for soft fault identification in electrical systems. Their work bridges theoretical advancements in algorithms—such as recursive prototype reduction and analysis of convolutional neural network behavior—with practical solutions in manufacturing and energy systems.
Professor Soohee Han's research lab specializes in advanced battery management systems and intelligent estimation techniques for electrochemical energy storage systems, with a strong focus on state-of-charge (SOC) and state-of-health (SOH) estimation. The lab integrates model-based approaches with data-driven methods such as machine learning and reinforcement learning to enhance accuracy and robustness under real-world operating conditions. It also develops efficient software platforms for robotics and control systems, emphasizing real-time performance, system integration, and simulation-driven development. The lab’s work bridges theoretical modeling with practical applications in electric vehicles, energy storage, and autonomous systems.
Professor Hoon Kim's research lab specializes in the development and application of biogenic nanoparticles, particularly gold and other nanomaterials synthesized using natural extracts such as *Phyllanthus emblica*, *Diospyros kaki* (persimmon), and *Lactobacillus plantarum*. The lab focuses on exploring the anticancer, anti-inflammatory, and antioxidant properties of these nanoparticles, with an emphasis on their mechanisms in cellular models like 3T3-L1 preadipocytes and gastric cancer cells (AGS). A key research direction involves understanding the role of genetic polymorphisms—such as sFRP4 c1019G>A—in bone mineral density, particularly in postmenopausal women, linking molecular genetics with metabolic health.
