جست‌وجوی استاد و پژوهشگر

Takuya Oouraمشاهده پروفایل

استادیار

• Numerical Analysis
• Numerical Integration
• Algorithms
• +۳ مورد دیگر

Takuya Ooura is an Assistant Professor at the Research Institute for Mathematical Sciences (RIMS) at Kyoto University, specializing in numerical analysis and mathematical software development. His work bridges theoretical mathematics with practical applications in scientific computing and software development. Dr. Ooura earned his educational credentials through a rigorous academic path: he graduated from Hokuriku High School in 1987; completed his undergraduate studies at Nagoya University's School of Science in 1992; earned his Master of Engineering from the Department of Applied Physics at the University of Tokyo in 1994; and completed his PhD (Engineering) from the same department in 1997. His academic journey continued with a Research Fellowship from the Japan Society for the Promotion of Science (1997) followed by a position as Research Associate at RIMS, Kyoto University (2000). Dr. Ooura's research focuses on numerical integration algorithms, particularly his groundbreaking double exponential formula for Fourier-type integrals, which has been incorporated into Mathematica's NIntegrate function. He has also developed a high-speed FFT library that's utilized in Google Chrome browser (visible in chrome://credits). His work on continuous Euler transformation for accelerating convergence of slowly decaying integrals represents significant innovation in numerical analysis. His research spans both theoretical development and practical implementation of mathematical algorithms with real-world applications. His publication record demonstrates consistent contributions to numerical analysis, with particular emphasis on quadrature methods, integral transforms, and high-precision computation. His work shows a clear progression from theoretical foundations to practical implementations, with several algorithms achieving widespread adoption in commercial and open-source software. Paper prize awarded by JSIAM (2000) for 'A continuous Euler transformation and its application to Fourier transforms of slowly decaying functions' Paper prize awarded by JSIAM (2001) for 'Improvement of the PI Calculation Algorithm and Implementation of Fast Multiple-Precision Computation' Paper prize awarded by JSIAM (2005) for 'An Improved Convergence Test for the Double Exponential Formula' Japan Society for Industrial and Applied Mathematics 4th Achievement Award (2014) for 'Pioneering and practical development of the double exponential numerical integration method' Dr. Ooura has developed several widely used mathematical software packages including the double exponential integral formula, Clenshaw-Curtis numerical integration rule, and a general-purpose FFT library. His FFT package is particularly notable for its speed and accuracy, with benchmark tests showing superior performance compared to other implementations. His software has been incorporated into major projects including Google Chrome and SETI@home, demonstrating the practical impact of his theoretical work. His future research directions include further development of numerical computation libraries and applying his methods to various computational problems.

Masatoshi Okutomiمشاهده پروفایل

استاد

• Medical Imaging
• Computer Vision
• Deep Learning
• +۵ مورد دیگر

Professor Masatoshi Okutomi is affiliated with the Department of Systems and Control Engineering at the School of Engineering, Institute of Science Tokyo. His research focuses on advanced medical imaging techniques, particularly in endoscopy and 3D reconstruction, leveraging deep learning and neural networks. Key interests include virtual chromoendoscopy for cancer detection, image restoration, and stereo matching under challenging conditions. His work bridges computer vision and healthcare, addressing real-world applications such as MRI reconstruction and foggy stereo matching. Notable contributions include developing lightweight medical segmentation networks for edge devices and advancing neural radiance fields (NeRF) for novel view synthesis. His research spans diverse domains: from improving video quality assessment to enhancing object detection in high-dynamic-range images. Collaborative projects emphasize practical solutions for medical diagnostics and robust image processing in adverse environments. Recent articles highlight advancements in temporally-consistent video restoration, few-shot view synthesis, and degraded image classification using knowledge distillation. These innovations underscore his commitment to pushing boundaries in both theoretical computer vision and applied medical technology.

• Organic Functional Materials
• Materials Informatics
• Structural Organic Chemistry
• +۴ مورد دیگر

Takuya Taniguchi is an Associate Professor at the Center for Data Science, Waseda University, where he has been employed since 2019, first as an Assistant Professor (2019-2021) before promotion to his current non-tenure track position. His interdisciplinary research bridges organic chemistry, materials science, and data science, with a focus on developing and analyzing functional organic materials, particularly photo-responsive molecular crystals. He maintains active collaborations with research groups including Hideko Koshima and Toru Asahi, and serves on professional committees such as the Manufacturing Industry AI Promotion Association. Education Doctor of Engineering, Waseda University (2019) Graduate studies at Waseda University's Graduate School of Advanced Science and Engineering Undergraduate studies at Waseda University's School of Advanced Science and Engineering, Department of Life Science and Medical Bioscience Research Focus Professor Taniguchi's work centers on structural organic chemistry and physical organic chemistry , with particular emphasis on organic functional materials and the application of materials informatics to crystal engineering. His research investigates how molecular structure influences macroscopic mechanical properties, especially photo-mechanical behaviors in organic crystals. He has pioneered the use of machine learning techniques to predict crystal properties, optimize materials performance, and design novel functional materials with applications in soft robotics and energy conversion. His recent work demonstrates a clear progression from fundamental studies of photo-mechanical crystals toward increasingly sophisticated applications of machine learning in materials science. The 15 most recent publications reveal a strong focus on neural network potentials for crystal property prediction, optimization of photo-actuated materials, and exploration of phase transitions in molecular crystals. This research trajectory shows consistent innovation in combining experimental chemistry with advanced computational methods. Awards and Recognition Inoue Research Encouragement Prize (2019) Ono Azusa Memorial Award from Waseda University (2019) Student Presentation Award at Japan Chemical Society 99th Spring Annual Meeting (2019) Poster Presentation Award at Chirality 2017 Multiple poster and presentation awards at international crystallography conferences Research Leadership Dr. Taniguchi leads multiple research projects funded by JSPS, JST, and industry partners including ENEOS Corporation and Sumitomo Foundation. His current projects include 'Efficient crystal structure prediction for organic porous materials,' 'Machine learning simulation of HOF material stability,' and 'Machine learning application for organic solid-phase transition.' He has successfully secured competitive funding including JST ACT-X and JSPS Early-Career Scientist grants. His work has received significant media attention, with coverage in Nikkan Kogyo Shimbun and Kagaku Kogyo Nippo highlighting breakthroughs in light-driven organic crystals with 3.7x improved output force. Academic Contributions Beyond research, Professor Taniguchi teaches extensively in Waseda's Global Education Center, offering courses in data science, statistical analysis with R, and statistics literacy across multiple academic quarters. He has contributed chapters to technical publications on process informatics, Bayesian optimization, and crystallization process design. His scholarly impact is evidenced by an h-index of 11 (Google Scholar) with 581 total citations, demonstrating significant influence in the emerging field of materials informatics for organic crystals.

• Electronic Design Automation
• VLSI Design
• Computer Systems
• +۷ مورد دیگر

Shinji Kimura is a Professor at Waseda University's Faculty of Science and Engineering, specializing in VLSI design and electronic systems. He holds a Doctor of Engineering from Kyoto University and has been with Waseda since 2002, previously serving as Associate Professor at Nara Institute of Science and Technology (1993–2002) and Assistant Professor at Kobe University (1985–1993). Kimura's research spans low-power circuit design , approximate computing , FPGA optimization , video coding (HEVC) , and hardware acceleration for AI . His work focuses on energy-efficient architectures for applications like neural networks, computer vision, and ultra-high-definition video processing. Recent publications emphasize hardware-efficient multipliers, neural network compression, and 3D-stacked memory systems. Awards include the LSI IP Design Award (2000, 1999) and the Information Processing Society of Japan Encouragement Award (1993). He leads projects on HEVC encoding/decoding, non-volatile memory optimization, and 3D integrated circuits, with VLSI implementations achieving real-time 8K video processing.

• Fluid Engineering
• Fluid Machinery
• Cavitation
• +۳ مورد دیگر

Kazuyoshi Miyagawa is a Professor at Waseda University's Department of Applied Mechanics and Aerospace Engineering within the Faculty of Science and Engineering, School of Fundamental Science and Engineering. With a Doctor of Engineering from Osaka University, he has maintained a continuous academic career at Waseda University since 2011, progressing from Associate Professor to full Professor. His educational background includes undergraduate and graduate studies in Mechanical Engineering at Waseda University, followed by specialized research at Osaka University's Graduate School of Engineering Science. Professor Miyagawa's research focuses on Fluid Engineering, Fluid Machinery, Cavitation, and Flow Induced Vibration . His work bridges theoretical fluid dynamics with practical applications in turbomachinery, particularly in hydraulic turbines, pumps, and rocket turbopumps. His research demonstrates a consistent emphasis on improving efficiency, stability, and reliability of fluid machinery through innovative design and thorough understanding of complex flow phenomena. His extensive publication record (107 papers with 683 Scopus citations and 1543 Google Scholar citations) reveals a strong focus on draft tube flow in hydraulic turbines, cavitation phenomena, and unsteady flow characteristics in various turbomachinery applications. His recent work shows increasing attention to computational fluid dynamics validation through experimental methods and practical engineering solutions for flow instability problems. Scientific Awards Multiple Technical and Paper Awards from the Turbomachinery Society of Japan (2001-2021) Recognition for development of new water turbines, high-efficiency turbochargers, and low-noise pumps Research on Francis turbine performance and cavitation phenomena Professor Miyagawa actively contributes to the engineering community through leadership roles including President of the Turbomachinery Society of Japan (2023-present) and Board Director of The Japan Federation of Engineering Society (2025-present). His professional memberships span multiple international and Japanese engineering societies including ASME, IAHR, and The Japan Society of Mechanical Engineers.

• Computer Architecture
• Parallel Computing
• Compiler Technology
• +۳ مورد دیگر

Keiji Kimura is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering. He earned his Doctor of Engineering from Waseda University and has held academic positions at the university since 1999, progressing from Research Associate to Assistant Professor (2004-2005), Associate Professor (2005-2012), and Professor (2012-present). He is affiliated with multiple professional organizations including ACM, IEEE Computer Society, The Institute of Electronics, Information and Communication Engineers, and Information Processing Society of Japan. His research focuses on computer architecture, particularly parallel computing systems and compiler technology. Kimura has made significant contributions to the development of the OSCAR (Optimally Scheduled Advanced Multiprocessor) automatic parallelizing compiler framework. His work spans multiple areas including multicore processor architecture, power reduction techniques for embedded systems, non-volatile memory systems, and parallelization methods for heterogeneous architectures. His research interests specifically include Multiprocessor Architecture and Parallelizing Compiler development, with applications in real-time systems and energy-efficient computing. Analysis of his recent publications reveals a strong focus on practical implementations of parallel computing technologies across diverse hardware platforms including RISC-V, ARM, and heterogeneous multicore systems. His work demonstrates a consistent trajectory from theoretical compiler development toward practical applications in embedded systems, security, and non-volatile memory technologies. The publications show increasing emphasis on RISC-V architecture, persistent memory programming, and power-efficient computing solutions. MEXT Award for Science and Technology (Research category), 2014.04 Ministry of Education, Culture, Sports, Science and Technology (MEXT) Kimura has served on numerous prestigious conference program committees including PACT, IPDPS, HPCA, and LCPC. His research has been supported through collaborations with major technology companies and government initiatives such as the METI/NEDO project entitled "Multicore Technology for Realtime Consumer Electronics." His work with the OSCAR compiler framework has demonstrated significant performance improvements and power reductions in real-world applications. He leads research in the APAL laboratory (http://www.apal.cs.waseda.ac.jp/) at Waseda University, focusing on advanced parallel processing technologies. His team works on compiler-directed approaches to solve challenges in heterogeneous multicore architectures, with particular emphasis on making parallel programming more accessible while optimizing for both performance and power efficiency. Current research directions include RISC-V secure boot verification, non-volatile memory systems, and GPU-based persistent memory solutions.

• Polymer Chemistry
• Functional Polymers
• Energy Storage Materials
• +۵ مورد دیگر

Kenichi Oyaizu is a Professor in the Department of Applied Chemistry at Waseda University's School of Advanced Science and Engineering. With over 30 years of academic career, he has established himself as a leading researcher in polymer chemistry, with particular expertise in functional polymers for energy applications. His research group has produced over 300 publications with more than 12,000 citations, demonstrating significant impact in the field. Professor Oyaizu received his education entirely at Waseda University, completing his undergraduate studies in the Department of Applied Chemistry (1986-1990), followed by graduate work in the same department where he earned his PhD in Engineering (1990-1995). His academic journey progressed from JSPS Research Associate to his current position as Professor, with appointments at Tokyo University of Science along the way. Oyaizu's research focuses on polymer synthesis and functional polymers, with particular emphasis on energy storage materials, hydrogen storage systems, high refractive index polymers, and organic battery technologies. His work bridges fundamental polymer chemistry with practical applications in sustainable energy, demonstrating strong interdisciplinary approach that combines materials science, electrochemistry, and informatics. Analysis of his recent publications reveals a strong trend toward developing advanced polymer materials for energy applications, with particular focus on high refractive index polymers for optoelectronics and robust organic materials for batteries. His research increasingly incorporates materials informatics approaches, as evidenced by several publications applying AI and machine learning to polymer design and property prediction. Yamazaki Sho Award (2022) - Polymers for Reversible Hydrogen Storage Society of Polymer Science Japan Award (2022) - Functional Polymers for Energy Storage Minister of Education Science and Technology Prize (2013) Oleo Science Award (2007) Chemical Society of Japan Young Chemists Award (2002) Professor Oyaizu maintains active leadership roles in the academic community, serving on editorial boards and as committee member for multiple professional societies including the Society of Polymer Science Japan and Chemical Society of Japan. His research is supported by significant grants that enable his team to pursue innovative projects at the intersection of polymer science and sustainable energy technologies. The Oyaizu laboratory operates as a dynamic research environment where fundamental polymer chemistry meets practical energy applications, with particular emphasis on developing materials that address global energy challenges.

• Cognitive and brain science
• Experimental psychology
• Kansei informatics
• +۷ مورد دیگر

Katahira Kenji is an Associate Professor at the School of Humanities and Social Sciences , Osaka University, with research spanning music psychology , emotion physiology , and Kansei informatics . His work bridges Cognitive neuroscience Human-computer interaction Design psychology Key research themes include flow experiences , emotional piloerection , and nonverbal communication in musical ensembles . He developed EEG-based flow state measurement 3D shape evaluation models Emotional response frameworks for sound and design His scientific contributions include Good Design Award (2014) ICMPC10 Travel Award (2008) Multiple best paper awards from Japanese academic societies Recent projects focus on Neural basis of voluntary piloerection Physiological measurement systems for peak experiences Kansei evaluation models for textures and 3D designs with grants from the Japan Society for the Promotion of Science.

• Medical Informatics
• Statistical Science
• Bioinformatics
• +۵ مورد دیگر

Dr. Masato Inoue is a Professor at the Faculty of Science and Engineering , School of Advanced Science and Engineering at Waseda University. He holds a Doctor of Medical Science from Kyoto University. Education: 2003 - Kyoto University Graduate School of Medicine 2003 - Kyoto University His research spans multiple disciplines at the intersection of Medical Informatics , Bioinformatics , and Statistical Mechanics . Key areas include: Medical Imaging : Developing Bayesian super-resolution algorithms and Prior Ensemble Learning for improved MRI reconstruction Voice Analysis : Creating innovative voice quality quantification systems for clinical diagnostics Genetic Analysis : Advancing haplotype inference methods and gene network modeling Signal Processing : Applying statistical mechanics to diverse problems from coding theory to neuroscience His recent publications (2021-2012) demonstrate consistent contributions to medical imaging algorithms , voice disorder classification , and genetic data analysis . Notable collaborations include work with Kyoto University researchers , Swedish medical institutions , and cross-disciplinary teams in bioengineering.

• Architectural history
• Architectural design

Takeshi Hagiwara is a Professor at the Art and Architecture School and the School of Creative Science and Engineering . He holds a Master's degree in Civil Engineering from Waseda University's Graduate School of Science and Engineering (1985) and has over 30 years of academic and professional experience. Education: MS in Civil Engineering, Waseda University (1985) Academic Career: 1988-1990 Research Associate at Nagoya University, 1990-2000 Lecturer at Waseda University, 2000-Present Professor His research focuses on architectural history and design , particularly the interplay between structural systems, material expression, and environmental integration. He explores tactile qualities in architecture, multilayered spatial concepts, and the philosophical relationship between the body and built environments. Publication trends show a consistent focus on material innovation (steel, PC panels), structural aesthetics, and environmental responsiveness across 15+ years. Key themes include urban thickness, metaphorical design, and historical reinterpretation in contemporary practice. 2009 Union of Japanese Architects Award (Encouragement Prize) 2008 International Competition Winner for Miaoli Hakka Cultural Park 2007 Winner of National Kaohsiung Performing Arts Center Competition 2006 Excellent Paper Prize, Japan Institute of Architects As an educator, he leads Graduation Projects , Bachelor's and Master's Theses , and advanced seminars in architectural design. His work bridges academic research and practical implementation through projects like Tokyo Sankei Building and GYOSEI INTERNATIONAL GYM.

• Data Mining
• Machine Learning
• Information Theory
• +۴ مورد دیگر

Manabu Kobayashi is a Professor at the Center for Data Science of Waseda University, with previous faculty roles at Shonan Institute of Technology (1998-2014). His research spans data mining, machine learning, and information theory, with a focus on applications in document classification, ECOC frameworks, and latent structural models. Current Affiliation: Waseda University (2018-present) Previous: Shonan Institute of Technology (2002-2014) Research Interests: Specializes in distance metric learning, latent class modeling, and fault diagnosis systems using probabilistic frameworks. Key areas include: ECOC (Error-Correcting Output Codes) optimization Collaborative filtering for recommendation systems Reconfigurable logic circuits using DG-CNTFETs Privacy-preserving distributed linear regression Scientific Awards: PC Conference Best Paper Award (2025) World CIST'18 Best Paper Award IEICE Achievement Award (2017) 74th Information Processing Society of Japan Conference Excellence Award (2012) Article Trends: Recent work focuses on latent structure analysis for relational data (2025), ECOC performance with noisy classifiers (2023), and flipped classroom effectiveness through log-based grouping (2022-2025). Earlier contributions include reconfigurable logic circuits (2013-2014) and probabilistic fault diagnosis (2011-2012).

• Thermal Engineering
• Aerospace Engineering
• Jet Engines
• +۵ مورد دیگر

Dr. Tetsuya Satou is a Professor at the Department of Applied Mechanics within the School of Fundamental Science and Engineering at Waseda University . He holds a Doctor of Engineering degree from the University of Tokyo and has 20+ years of experience in aerospace engineering, including roles at JAXA, University of Tokyo, and the University of Bristol (UK). His research focuses on hypersonic propulsion systems, two-phase cryogenic flows, and air-intake aerodynamics. Education: Doctor of Engineering, University of Tokyo Key Affiliations: Waseda University, JAXA, Gas Turbine Society of Japan, AIAA Research Interests: Dr. Satou specializes in jet engine design , space plane propulsion , and thermal-fluid dynamics of cryogenic systems. His work includes advanced modeling of two-phase hydrogen flow , precooler technology , and supersonic intake instability (buzz phenomenon) . Article Trends: Recent publications emphasize CFD simulations for hypersonic flight, void fraction measurement in cryogenic systems, and flow regime transitions in hydrogen propulsion. These works often bridge theoretical analysis with experimental validation in wind tunnels and sounding rocket campaigns. Scientific Awards: Special Achievement Award, Gas Turbine Society of Japan (2022) Grand Prize, Numerical Simulation Category, 44th Fluid Mechanics Conference (2012) Professional Roles: Dr. Satou serves on NEDO Technical Committee and MEXT's Council for Science and Technology. He has led JAXA's Space Engineering Committee and advised on professional engineering examinations in Japan.

• Biophysics
• Nanometer-scale chemistry
• Semiconductors
• +۶ مورد دیگر

Kyozaburo Takeda is a Professor at the School of Advanced Science and Engineering , Waseda University, with concurrent research roles at the Waseda Research Institute for Science and Engineering and Kagami Memorial Research Institute for Materials Science and Technology. His work spans quantum materials science , solid-state physics , and polymer electronics , focusing on spin-orbit interactions, Berry phases, and electronic structures in semiconductor systems. Education : Doctor of Engineering (Keio University, 1983) Research projects include high-performance insulating materials using polymer nanocomposites, first-principles modeling of protein nanotubes , and quantum dynamics in silicon structures . His recent publications address spin textures, quantum wells, and topological phases, with applications in spintronics and optoelectronics . Teaching activities cover courses like Quantum Materials Science and Electronic Structures of Condensed Materials . Scientific Awards : No specific awards listed in the provided text. Collaborations and grants include projects with international institutions (e.g., University of Cambridge) and Japanese funding bodies like the Japan Society for the Promotion of Science . His lab explores quantum confinement effects, nonlinear dynamics, and computational design of nanoscale materials.

• Quantum Computing
• Quantum Open Systems
• Non-equilibrium Statistical Mechanics
• +۲ مورد دیگر

Tatsuhiko Shirai is an Associate Professor (non-tenure-track) at the Waseda Institute for Advanced Study, Waseda University, specializing in quantum computing and quantum open systems. His research focuses on developing algorithms for quantum and Ising machines to solve complex combinatorial optimization problems, as well as studying fundamental aspects of non-equilibrium quantum dynamics. His educational background includes: Doctoral Program, Department of Physics, Graduate School of Science, The University of Tokyo (2013-2016) Master's Program, Department of Physics, Graduate School of Science, The University of Tokyo (2011-2013) Bachelor's Degree, Department of Physics, Faculty of Science, The University of Tokyo (2007-2011) Shirai's research spans both theoretical and applied aspects of quantum computing. His primary interests include quantum open systems, where he investigates the dynamics of quantum systems interacting with environments, and quantum computing, where he develops novel algorithms for quantum annealers and Ising machines. His work on non-equilibrium statistical mechanics explores fundamental questions about thermalization in open quantum systems and the emergence of steady states. In practical applications, he has made significant contributions to constrained combinatorial optimization problems, developing techniques like variable reduction methods and multi-spin-flip engineering to improve the performance of quantum and quantum-inspired solvers. His recent publications reveal a strong focus on bridging theoretical quantum physics with practical optimization applications. The research trends show an evolution from fundamental quantum open system theory toward increasingly practical quantum computing applications, particularly in combinatorial optimization. His work spans across quantum simulation, quantum algorithms, Ising machines, and quantum-inspired classical computing approaches, demonstrating a unique interdisciplinary perspective that connects theoretical physics with real-world computational challenges. His notable scientific achievements include: 2022 SLDM Study Group Outstanding Paper Award from the Information Processing Society of Japan 16th Young Scientist Encouragement Award (area 11) from The Physical Society of Japan (March 2022) 197th SLDM Study Group Excellent Presentation Award from the Information Processing Society of Japan (January 2022) Shirai has been actively involved in multiple research projects funded by the Japan Society for the Promotion of Science, including the development of physical property control methods in non-equilibrium quantum open systems (2023-2027), high-performance computing for materials simulation using hybrid quantum-classical algorithms (2021-2024), and construction of analytical methods using typical non-equilibrium steady states (2018-2021). His work has attracted media attention, including coverage on EurekAlert! for his research on multi-spin-flip engineering in Ising machines and novel quantum algorithms for combinatorial optimization. As part of Waseda Institute for Advanced Study, Shirai contributes to an interdisciplinary research environment that fosters innovation at the intersection of physics, computer science, and mathematics. His work on quantum algorithms and quantum open systems forms part of a broader effort to advance both the theoretical foundations and practical applications of quantum information processing.

• Sports Science
• Exercise Physiology
• Environmental Physiology
• +۲ مورد دیگر

Takashi Ichinose is a Professor at Waseda University's Center for Research Strategy and Faculty of Sport Sciences. He has held progressive roles at Waseda since 2004, including his current position in the Center for Research Strategy since 2008, where he manages research strategy while maintaining his academic focus on sports science. His educational background includes: Doctor of Philosophy in Medical Science from Shinshu University Graduate studies in Life Sciences from Waseda University's Graduate School of Human Sciences Undergraduate degree in Sport Sciences from Waseda University's School of Human Sciences Professor Ichinose's research spans exercise physiology, environmental physiology, and sports science, with particular focus on substrate metabolism during exercise, thermoregulation, and plasma volume changes. He has made significant contributions to understanding how nutritional interventions like tea catechins affect fat metabolism. He is also a leading figure in Tee-ball development, a modified baseball sport officially adopted into Japan's elementary school curriculum. His publication record shows an evolution from fundamental exercise physiology research to broader applications in sports education and inclusion. Early work focused on metabolic responses to exercise, while more recent publications address sports education, disability inclusion, and international sports initiatives like the Olympics. Professor Ichinose has received research funding from the Japan Society for the Promotion of Science and collaborated with industry partners including Kao Corporation. His presentations at numerous research meetings demonstrate his active role in promoting research funding opportunities at Waseda University. He has been deeply involved with the Japanese Tee-ball Association, contributing to Tee-ball's adoption in Chinese and Korean educational systems. His work bridges academic research with practical applications in sports education and physical activity promotion across Asia.