东京大学、京都大学、大阪大学等日本QS前10名大学的研究室信息。
Professor Taichi Nakamura's research lab specializes in the application of machine learning and data-driven modeling to fluid dynamics and computational mechanics, with a focus on reduced-order modeling, state estimation, and turbulence simulation. The lab develops advanced neural network architectures—such as CNN-AEs and LSTMs—combined with traditional methods like proper orthogonal decomposition and linear stochastic estimation to model complex, high-dimensional flows efficiently. Another key research direction involves the integration of intelligent systems, including software agents and expert systems, into educational settings for requirements engineering and project management training. The lab bridges fundamental fluid dynamics with cutting-edge AI techniques, aiming to enhance both scientific understanding and practical applications in engineering and education.
Professor Moju Zhao's research lab specializes in the design, control, and application of transformable aerial robots for enhanced mobility and manipulation in complex environments. The lab focuses on developing multirotor systems with multi-degree-of-freedom (DoF) aerial transformation capabilities, integrating advanced flight control, whole-body manipulation, and real-time grasping strategies. Key innovations include the DRAGON robot with dual-rotor gimbal modules for vectorable thrust and pose control, enabling stable flight and dynamic manipulation without external appendages. The lab also explores intelligent perception and planning, such as attention-based tracking and optimized grasp form search, to support autonomous operation in challenging scenarios like disaster response.
Professor Takehiko Kitamori's research lab specializes in microfluidic chip technology, focusing on the development of integrated microsystems for high-sensitivity biochemical analysis and parallelized chemical synthesis. The lab pioneers miniaturized, automated assays—such as microELISA and multiplexed immunoassays—by combining microfluidics with advanced detection methods like thermal lens microscopy and rolling circle amplification. Key research directions include the design of 3D microchannel architectures for multi-reaction integration, rapid micromixing for enhanced reaction efficiency, and applications in clinical diagnostics, environmental monitoring, and combinatorial synthesis. The lab also explores the emerging 'extended-nano space' (10–100 nm) to bridge micro- and nanoscale technologies for next-generation analytical systems.
Professor Zehuan Hu's research lab specializes in smart energy systems, with a focus on renewable energy integration, electricity demand and generation forecasting, and energy justice in residential energy management. The lab develops advanced AI-driven frameworks—such as LLM-enhanced attention mechanisms and reinforcement learning algorithms—to optimize energy scheduling and improve grid efficiency. It emphasizes practical applications using real-world data from diverse energy systems, particularly in Japan and Texas, USA, to address challenges in net-zero energy buildings and equitable energy policies. The lab bridges cutting-edge machine learning with sustainable energy solutions, aiming for both technical innovation and social equity in energy systems.
Professor Yongjie Zhang's research lab specializes in the microstructural design and mechanical property optimization of advanced low-carbon steels, with a focus on nano-alloy carbide precipitation mechanisms. The lab investigates interphase precipitation and tempering behaviors in microalloyed steels to enhance strength and toughness, particularly through the controlled formation of fine, coherent carbides. Utilizing advanced characterization techniques such as three-dimensional atom probe tomography and quantitative microstructural analysis, the lab explores the effects of alloying elements (V, Nb, Ti, N) and processing parameters on precipitation kinetics and mechanical performance. Their work bridges fundamental materials science with industrial applications, especially in high-performance structural materials for transportation and energy sectors.
Professor Pradeep Khatri's research lab specializes in atmospheric aerosol-climate interactions, with a focus on understanding the radiative and microphysical effects of aerosols on clouds and climate systems. The lab investigates aerosol optical properties, such as single-scattering albedo and aerosol absorption, using ground-based networks (e.g., SKYNET, AERONET) and satellite observations to assess regional and global climate impacts. Key research directions include the role of aerosols in monsoon dynamics, glacier retreat, and radiative forcing—particularly during periods of anthropogenic perturbation such as the COVID-19 lockdown. The lab also develops advanced remote sensing techniques to improve cloud and aerosol retrieval by accounting for vertical inhomogeneity and atmospheric variability.
Professor Hiroaki Hashida's research lab specializes in intelligent reflecting surface (IRS)-based wireless communication systems, focusing on enhancing spectral efficiency, coverage, and reliability in beyond 5G and 6G networks. The lab investigates advanced beamforming, channel estimation, and IRS deployment strategies to address challenges such as signaling overhead, user mobility, and blockage in dynamic environments. Particular emphasis is placed on optimizing IRS configurations for aerial users, multi-user scenarios, and real-world deployment constraints.
Professor Motoi Kikusato's research lab focuses on avian physiology and nutrition, with a central emphasis on understanding the mechanisms underlying heat stress responses in poultry. The lab investigates the roles of bioactive plant compounds—such as phytobiotics, isoquinoline alkaloids, oleuropein, and trehalose—in improving growth performance, mitigating oxidative stress, and enhancing intestinal and immune function in broiler chickens. Key research directions include mitochondrial function, uncoupling protein regulation, and the modulation of oxidative phosphorylation and biogenesis pathways under environmental stressors. The lab integrates molecular biology, cellular physiology, and nutritional interventions to develop sustainable alternatives to antibiotic growth promoters in poultry production.
Professor Atsushi Shishido's research lab specializes in the design and fabrication of functional and stimuli-responsive materials, with a focus on light-responsive molecular systems and advanced photonic materials. The lab pioneers innovative techniques in molecular alignment control—particularly through dye-free, light-triggered methods like scanning wave photopolymerization—to create large-scale, patterned organic and hybrid materials. Key research directions include photoresponsive liquid crystals, supramolecular assemblies via non-covalent interactions (e.g., halogen bonding), and the development of photonic nanostructures such as titania arrays using interference lithography. The lab integrates optical characterization, materials synthesis, and nanofabrication to enable next-generation optoelectronic and smart materials.
Professor Hidetoshi Tokuyama's research lab specializes in synthetic organic chemistry, with a focus on the development of novel reaction methodologies for complex molecule synthesis. Key research directions include photoinduced reactions of fullerenes, transition-metal-catalyzed cyclizations (particularly gold- and copper-mediated transformations), and the stereoselective synthesis of nitrogen-containing heterocycles such as indoles and indolizines. The lab also investigates mild and efficient methods for the synthesis of sensitive intermediates like α-amino aldehydes and explores cascade reactions for building molecular complexity.
Professor Yoshihiko Yamamoto's research lab specializes in transition-metal-catalyzed organic transformations, with a strong focus on alkyne-based cyclizations and C–H functionalization. The lab develops innovative catalytic systems—particularly using ruthenium, silver, and copper complexes—for the regio- and chemoselective synthesis of complex heterocycles and arene frameworks. Key research directions include intramolecular [2 + 2 + 2] alkyne cyclotrimerizations, hydroarylation, and cycloaddition reactions to construct polycyclic scaffolds with high stereo- and regiocontrol. These methodologies are strategically applied to the synthesis of natural products and functional materials.
Professor Yoshiko Miura's research lab specializes in glycopolymer nanobiotechnology, focusing on the design and synthesis of synthetic glycopolymers that mimic natural cell-surface saccharides. Her group explores the multivalent interactions between glycopolymers and biological targets such as lectins, pathogens, and amyloid proteins, with applications in drug delivery, tissue engineering, and neurodegenerative disease intervention. Key research directions include the development of chemoenzymatic synthesis methods for glycoconjugate polymers, the engineering of functional nanomaterials like glycopolymer-coated gold nanoparticles, and the investigation of structure–activity relationships in saccharide-protein interactions. The lab emphasizes both fundamental understanding and practical biomedical applications of these biomimetic materials.
Professor Hiroki Ago's research lab specializes in the synthesis, characterization, and application of two-dimensional (2D) nanomaterials, with a strong focus on graphene and transition metal dichalcogenides (TMDs). The lab explores epitaxial growth of high-quality 2D materials on single-crystalline substrates, investigates their electronic and optical properties under external stimuli such as strain and doping, and develops hybrid heterostructures combining 2D materials with carbon nanotubes or conjugated polymers for advanced optoelectronic and photovoltaic devices. A central theme is the precise control of electronic properties through chemical doping and nanostructure engineering to enable next-generation flexible and high-performance electronic technologies.
Professor Xudong Zhou's research lab specializes in advancing Earth system modeling with a focus on improving the representation of land hydrology, river systems, and human-water interactions at high spatial resolution. The lab develops and refines global-scale hydrodynamic models—such as CaMA-Flood and ORCHIDEE—to better simulate surface water dynamics, flood hazards, and the impacts of human activities like irrigation and reservoir operations. Key research directions include enhancing river routing schemes, correcting hydrological model biases using rating curves and high-resolution topography, and quantifying uncertainties in flood risk assessments under changing climate and land-use conditions.
Professor Wataru Shihoya's research lab specializes in structural biology of G-protein-coupled receptors (GPCRs), with a focus on understanding the molecular mechanisms of receptor activation, ligand binding, and G-protein coupling. The lab employs advanced structural techniques such as X-ray crystallography and cryo-electron microscopy to elucidate high-resolution structures of medically relevant GPCRs, including endothelin receptors and β3-adrenergic receptors, in complex with agonists, antagonists, and signaling partners. Their work provides critical insights into receptor dynamics, conformational changes, and the structural basis for drug selectivity, contributing to the development of novel therapeutics for cardiovascular diseases, metabolic disorders, and cancer.
Professor Shin Kaneko's research lab specializes in regenerative medicine and cellular immunotherapy, focusing on the development of allogeneic stem cell-derived immune cells for cancer treatment. The lab pioneers the use of induced pluripotent stem cells (iPSCs) to generate T cells, natural killer cells, and invariant natural killer T (iNKT) cells with enhanced anti-tumor activity and reduced graft-versus-host disease risk. Key research directions include optimizing differentiation protocols, improving gene editing and transgene expression in hematopoietic stem cells, and engineering immune cells for 'off-the-shelf' therapeutic applications.
Professor Tomoaki Watanabe's research lab specializes in high-fidelity direct numerical simulations (DNS) of turbulent flows, with a primary focus on the dynamics of the turbulent/non-turbulent interface (TNTI). The lab investigates the transport mechanisms of vorticity, enstrophy, and passive scalars near the TNTI, particularly the roles of viscous diffusion, vortex stretching, and interface motion in mixing layers, jets, and stratified wakes. A key research direction involves identifying and characterizing the interface using vorticity magnitude, enstrophy, and potential enstrophy thresholds, revealing how turbulence is suppressed near the interface. The lab also explores Lagrangian particle dispersion and the dual regimes—ballistic in the viscous superlayer and Richardson-like in the turbulent sublayer—within the interface layer.
Professor Takatoshi Hikida's research lab focuses on the neural circuit mechanisms underlying psychiatric disorders and addiction, with a particular emphasis on the basal ganglia-thalamocortical circuits. The lab employs advanced genetic, imaging, and optogenetic techniques in rodent models to dissect the roles of specific neuronal populations—such as parvalbumin interneurons and cholinergic neurons in the nucleus accumbens—in behavior, learning, and disease pathology. By integrating neuroscience with computational modeling and AI-driven approaches, the lab aims to uncover the pathophysiological basis of schizophrenia, addiction, and related neuropsychiatric conditions.
Professor Mizuki Tada's research lab specializes in the design and characterization of advanced heterogeneous catalysts for selective and sustainable chemical transformations. The lab focuses on developing supported metal complexes on oxide surfaces—particularly silica—using innovative strategies such as molecular imprinting, surface functionalization, and site-isolated single-site catalysts. Key research directions include asymmetric catalysis, selective oxidation reactions, and in situ characterization of catalysts under operating conditions using advanced X-ray techniques like XAFS and laminography–XAFS. The lab also investigates dynamic surface processes in fuel cell catalysts, aiming to understand and mitigate degradation mechanisms in energy conversion devices.
Professor Hiroyuki Sugimori's research lab specializes in applying deep learning and artificial intelligence to medical imaging, with a focus on improving diagnostic accuracy, workflow efficiency, and image quality assurance. Key research directions include automated body weight estimation from CT scout images, anatomical structure detection in MRI and PET scans, and the development of robust deep learning models for classification and object detection across various imaging modalities. The lab also pioneers AI-based quality assurance systems for radiological imaging, particularly in chest X-rays, to support clinical decision-making and standardization.
