جست‌وجوی استاد و پژوهشگر

• Human Geography
• Demography
• Population Studies
• +۲ مورد دیگر

Masakazu Yamauchi is a Professor at Waseda University's Faculty of Education and Integrated Arts and Sciences. His career spans roles at the National Institute of Population and Social Security Research (2003–2017) and current faculty positions since 2017. He holds a Master of Science and PhD from the University of Tokyo. Education: PhD (University of Tokyo), Master of Science (University of Tokyo) Key Affiliations: Waseda University, National Institute of Population and Social Security Research Yamauchi's research focuses on Human Geography , Demography , and Population Studies . He explores regional fertility disparities, migration dynamics, and the intersection of social surveys with geospatial data. His work on the Geo-social Survey for Urban Lifestyle Preferences (GULP) demonstrates methods for linking individual behaviors to neighborhood environments. Scientific Awards : 2022 Population Association of Japan Award 2012 Fisheries Economics Association Encouragement Award His recent publications analyze population decline , spatiotemporal demographics , and fishing community sustainability . Collaborative projects with institutions like the Japan Society for the Promotion of Science and comparative studies on aging societies highlight his interdisciplinary approach.

• Korean Traditional Architecture
• Structural Analysis
• Proportional Relationships
• +۲ مورد دیگر

Dr. Byungjin Kim serves as an Assistant Professor at the Faculty of Science and Engineering , Waseda University. Active in architectural research since 2006, Kim focuses on the structural analysis and proportional systems of Korean traditional architecture , with comparative studies to Japanese Kiwarisho techniques. 2012-2015: PhD in Architecture at Waseda University Research spans three key domains: proportional relationships in Buddhist architectural pillars (2018), cross-cultural comparisons of Korean and Japanese wooden construction methods (2015), and spatial analysis of traditional Korean housing (2006). Publications demonstrate technical expertise in dimensional standards and structural mechanics of pre-modern buildings. Kim contributes to education through technical preservation courses at Waseda's Global Education Center (2025), while maintaining dual affiliation with the Waseda Research Institute for Science and Engineering and Global Education Center. Research projects include systematic analysis of Korean-Japanese architectural proportionality (2015).

• European Literature
• Classical Philology
• Comparative Literature
• +۴ مورد دیگر

Tokuya Miyagi is a Professor at the School of Culture, Media and Society (Waseda University). Holding a PhD in Literature from Kyoto University , his research focuses on European literature , particularly Latin and Greek classical studies . He actively contributes to comparative literature and late antiquity literary traditions . Research Themes : Classical reception, Roman epic/pastoral poetry, Senecan tragedy, Latin epithalamium, plague/war in ancient literature, Hellenistic-Renaissance connections Teaching : Offers courses on Greek/Roman literature , classical Latin , mythology , and comparative studies across multiple schools (Humanities, Global Education Center) Projects : Analyzed Claudian's role in transmitting classical traditions to medieval Europe, studied plague depictions in ancient texts through fieldwork in Athens, explored Senecan tragedy's influence on medieval literature International Collaboration : Conducted research at Florence University (2017-2018), examined classical manuscripts at Laurentian Library His work bridges classical philology with cultural studies , emphasizing virtus and pietas in Roman literature. Key publications include analyses of Seneca's Hercules Furens and Claudian's pastoral vision , often connecting ancient texts with their medieval and Renaissance echoes.

• Cognitive Neuroscience
• Psychology
• Human-Computer Interaction
• +۷ مورد دیگر

Ayaka Tsuchiya is an Assistant Professor at the Advanced Research Center for Human Sciences, Faculty of Human Sciences. She earned her Doctor of Science from Tokyo Institute of Technology in 2023 and has held teaching roles at Waseda University and Tokyo Seitoku University. Education: PhD in Computer Science (2023, Tokyo Institute of Technology), MSc in Electrical Engineering and Computer Science (2016, Shibaura Institute of Technology), BEng in Engineering and Design (2014, Shibaura Institute of Technology) Research: Focus on body movement synchrony in communication, neural synchronization in social interactions, autism spectrum disorder (ASD) behavioral analysis, VR systems for gaze behavior comparison, and reinforcement learning in decision-making. Her recent publications analyze interpersonal coordination through neural and physical synchrony, with applications in autism research and virtual reality. She has received multiple awards for collaborative media art projects using RT middleware (2013-2015) and a Special Theme Session Award at HCG Symposium 2017. She serves on committees like the Communication Behavior Engineering Research Group and Communication Quality Research Committee. Scientific Awards: HCG Symposium 2017 Special Theme Session Award RT Middleware Contest 2013-2015 multiple Encouragement Awards SI2015 Excellent Presentation Award Teaching: Courses in Cognitive Neuroscience at Waseda University (2024-2025) and Mathematical Foundations at Tokyo Seitoku University. Labs: Advanced Research Center for Human Sciences (Waseda University sub-affiliation).

• Information Theory
• Coding Theory
• Statistical Learning Theory
• +۳ مورد دیگر

Shunsuke Horii is an Associate Professor at the Center for Data Science, Waseda University. His research spans information theory, coding theory, statistical learning theory, and data science applications. He actively collaborates with industry through initiatives like the Waseda Data Science Consortium. Education: Ph.D. in Science and Engineering from Waseda University (2009), Master's from Waseda University Graduate School of Science and Engineering (2004). Research Focus: Addresses causal effect estimation in data science using Bayesian decision theory, sparse modeling, and optimization techniques like ADMM and variational inference. Develops efficient algorithms for multiuser communication, matrix completion, and privacy-preserving distributed computing. Teaching: Instructs courses on statistics literacy, data science, and programming with Python/R across multiple academic quarters. Grants: Leads projects funded by Japan Society for the Promotion of Science, including causal inference frameworks, product recommendation systems, and business analytics. Publications: 21 papers with 61 Scopus citations, focusing on LP decoding, Bayesian hierarchical models, and statistical causal analysis.

• Educational Technology
• Data Science Education
• e-Learning
• +۷ مورد دیگر

Fumie Watanabe is an Assistant Professor at Waseda University's Center for Data Science. She holds a PhD in Human Sciences from Waseda University and specializes in educational technology, focusing on e-learning, peer assessment, and data science education. Current affiliation: Waseda University (2020.10–Now) Previous affiliations: Tohoku University Institute for Excellence in Higher Education (2018.04–2020.09), Waseda University Center for Higher Education Studies (2014.10–2018.03) Research Interests : Dr. Watanabe investigates educational technology, particularly focusing on: Metacognitive strategies in report writing Development of "otaku power" for career readiness Blended and online learning environments Data science education and mindset development Peer assessment methodologies in digital contexts Article Trends : Her recent publications examine learning self-regulation through evaluation practices (2024), otaku power applications in game industries (2024), reflection mechanisms for elementary education (2024), and blended learning research trajectories (2022). Earlier works (2017–2020) analyze MOOC peer assessment reliability, tablet-based instructional design, and learner orientation in online courses. Teaching Activities : She teaches statistics and data science courses at Waseda University's Global Education Center, including: Statistics Literacy (α, β, γ, δ) series Introduction to Data Science (α, β, γ, δ) series Advanced topics: Regression/Classification, Time Series, Latent Structure, Spatial Structure Programming courses: Data Analysis with Python, Statistical Analysis with R Research Projects : Fumie Watanabe leads JSPS-funded research on: Career education using cross-border learning models (2023–2026) Pre-FD model development for graduate students (2020–2024) Peer assessment methodology in online environments (2016–2023) She also contributes to institutional projects on data science education's impact on student development and mindset scale creation. Committee Roles : Active in editorial and conference committees for Japan Society for Educational Media Studies (2019–2024) and Japan Society for Educational Technology, including special issue editorships and conference planning roles.

• Statistical science
• Economic statistics
• Survey methodology
• +۴ مورد دیگر

Hiroshi Saigo is a Professor at Waseda University's School of Political Science and Economics, where he has been serving since 1999 after progressing through the ranks from Assistant Professor (pre-1992) to Associate Professor (1992-1994). His academic career spans over three decades with a consistent focus on statistical methodology and its applications in economic surveys. Dr. Saigo earned his Master's degree in Economics from Waseda University Graduate School of Economics in 1992, with a specialization in economic theory and economic history, following undergraduate studies in the Division of Economics at Waseda University's School of Political Science and Economics completed in 1984. His research interests center on statistical science and economic statistics, with particular expertise in survey methodology, sampling theory, and bootstrap methods. Dr. Saigo has made significant contributions to official statistics, developing innovative approaches for variance estimation, handling missing data, and improving survey design. His methodological work bridges theoretical statistical advancements with practical applications in official statistics production. His extensive publication record demonstrates expertise across multiple statistical domains, with particular emphasis on bootstrap methods for complex survey designs, variance estimation techniques, and optimal allocation strategies in stratified sampling. His work shows a consistent trajectory from theoretical developments in sampling theory to practical applications in Japanese official statistics. The Canadian Statistical Society The American Statistical Association The Japanese Economic Association The Japan Statistical Society Dr. Saigo has led and participated in numerous research projects funded by the Japan Society for the Promotion of Science, including current research (2023-2027) on systematizing culture and arts statistics in Japan. His recent projects focus on detection and handling of outliers in surveys, statistical models for official statistics, and cohort analysis for micro-data in statistical surveys. At Waseda University, Dr. Saigo teaches statistics courses at both undergraduate and graduate levels, including 'Statistics,' 'Economic Statistics,' and specialized seminars on statistical methodology, reflecting his expertise in applying rigorous statistical methods to economic and social data analysis.

• Machine Learning
• Statistical Learning Theory
• Statistical Science
• +۳ مورد دیگر

Goki Yasuda is an Associate Professor at the Center for Data Science, Waseda University. His research spans statistical science, intelligent informatics, and machine learning, with specialized interests in label noise robustness, semi-supervised learning, and asymptotic analysis of algorithms. He teaches extensively in data science education, including courses like 'Statistics Literacy', 'Data Analysis with Python', and 'Modeling for Data Science' through Waseda's Global Education Center. His research explores foundational machine learning challenges, including: Theoretical analysis of classification under label noise conditions Performance limits of semi-supervised learning with unlabeled data Bayesian inference for misspecified probabilistic models Algorithm optimization for real-world data imperfections Publications demonstrate a strong emphasis on theoretical machine learning (75% of recent work) with secondary focus on applied signal processing for video coding (25% of earlier publications). Research consistently employs statistical methods to address data quality issues in learning systems. He leads research projects including: 'Developing machine learning algorithms for low-quality data' (2022) 'Research on machine learning from data of various quality' (2019) 'Performance evaluation of prediction in half-ranked learning' (2018)

• Robot Manipulation
• Human Measurement
• Haptics
• +۱۲ مورد دیگر

Zixi Gu is an Assistant Professor at Waseda University's School of Creative Science and Engineering, Department of Integrative Bioscience and Biomedical Engineering, since 2025.04. With a Ph.D. in Engineering (2025) and Master of Engineering (2018) from Waseda University, their research focuses on Human-Machine Interfaces Wearable Sensor Systems Intelligent Robotics for Rehabilitation Muscle Activity Estimation Algorithms Research trends show a consistent focus on gait analysis and assistive robotics , utilizing IMU-based systems for real-time muscular activity measurement and developing training devices for elderly mobility preservation. Key innovations include non-contact sensors for knee extensor monitoring and humanoid robots for cultural acceptance in elder care. Scientific recognition includes 2019 : Best Student Paper Award, IEEE ICMA 2019 2019 : Best Paper Finalist, IEEE ICMA 2019 Current teaching responsibilities include Fundamentals of Robotics and Control Systems courses at Waseda University. Actively involved in research projects like the 2025 Research Base Formation Grant for academic infrastructure development.

• Inorganic Chemistry
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Takamichi Matsuno is an Assistant Professor at Waseda University's School of Advanced Science and Engineering , specializing in inorganic chemistry and nanoporous materials . His work focuses on synthesizing crystalline layered silicates , self-healing elastomers , and thermoelectric oxides . He serves as a FOREST researcher at JST and holds affiliations with multiple research institutes. Ph.D. in Applied Chemistry (Waseda University, 2021) Previous roles: JSPS Research Fellow (2019-2021), Teijin Limited (2018) Research Interests include: Control of multi-scale ordered structures in siloxane-based materials Development of dynamic chemical bonds for self-healing materials Crystallization of mesoporous oxides with large crystallites Recent Article Trends demonstrate expertise in siloxane chemistry , template synthesis , and metal-oxide hybrid materials , with applications in thermoelectrics , catalysis , and nanoparticle separation . Scientific Awards : Best Presenter Award (Materials Oceania 2023) Shimomi Prize (2023) WASEDA e-Teaching Award (2023) JXTG Energy Excellent Research Award (2019) CSJ Chemical Festa 2014 Outstanding Poster Award Research Projects funded by JST and JSPS cover zeolite synthesis in nanoporous scaffolds , pressure-driven piezocatalysts , and crystallinity control in aluminosilicates . He contributes to Advanced Science and Engineering education through courses like Inorganic Solid State Chemistry and Applied Chemistry Exercises .

• Thermal Engineering
• Refrigeration and Air Conditioning
• Heat and Mass Transfer
• +۴ مورد دیگر

Seiichi Yamaguchi serves as Associate Professor in the Department of Applied Mechanics and Aerospace Engineering at Waseda University's School of Fundamental Science and Engineering. His academic career spans over 15 years at Waseda, progressing from Research Assistant (2007) to Assistant Professor (2010), Research Associate Professor (2016), and current Associate Professor position (2017-present). He holds a Doctorate in Engineering from Waseda University. Doctorate: Waseda University, Graduate School of Science and Engineering (2005-2008) Master's: Waseda University, Graduate School of Science and Engineering (2003-2005) Bachelor's: Waseda University, School of Science and Engineering (1999-2003) Dr. Yamaguchi's research focuses on thermal engineering systems with emphasis on desiccant air conditioning, heat and mass transfer phenomena, and absorption refrigeration. His work bridges fundamental thermodynamics with practical HVAC applications, particularly investigating falling film absorption, desiccant wheel optimization, and ionic liquid-based desiccant systems. Current projects include advanced modeling of liquid desiccant systems and integration with heat pump technologies. Analysis of his 15 most recent publications reveals a strong focus on entropy generation analysis for system optimization, wetting characteristics of novel desiccants, and performance enhancement of absorption chillers. His work demonstrates consistent emphasis on mathematical modeling validated through experimental studies, with significant contributions to falling film absorption mechanisms and desiccant system design. Best Presentation Award, Joint Conference on Air-conditioning and Refrigeration (2013) Best Paper Award, Japan Society of Refrigeration and Air Conditioning Engineers (2012) Best Presentation Award, JSRAE Annual Conference (2011) Dr. Yamaguchi actively supervises graduate theses while teaching core engineering courses including Thermodynamics, Heat Transfer, and Control Engineering. His research is supported by major grants including NEDO projects and JSPS Kakenhi. He maintains active roles in professional societies including the Japan Society of Mechanical Engineers and Japan Society of Refrigerating and Air-Conditioning Engineers, where he serves on multiple technical committees related to desiccant and sorption systems.

• Methane Hydrate Research
• Enhanced Oil Recovery (IOR/EOR)
• Petroleum Engineering
• +۴ مورد دیگر

Yuchen Liu serves as Assistant Professor at Waseda University's School of Creative Science and Engineering, Faculty of Science and Engineering, specializing in Earth Resource Engineering with emphasis on methane hydrate research and petroleum extraction technologies. Holding a Ph.D. from Waseda University and Master of Engineering from Tokyo Institute of Technology, Dr. Liu leads innovative research bridging geotechnical engineering with petroleum applications. Dr. Liu's academic foundation includes: Ph.D. (Waseda University) Master of Engineering (Tokyo Institute of Technology) Research focuses on developing stabilization methods for methane hydrate reservoirs using soil improvement agents, enhanced oil recovery techniques, and sand production countermeasures. Current investigations examine the heterogeneity and anisotropy of grout bodies in methane hydrate reservoirs, decomposition gas behavior during stabilization processes, and development of advanced experimental apparatus for reservoir characterization. The research program addresses critical challenges in methane hydrate resource development and conventional oil production. Publication trends reveal a strategic progression from fundamental soil mechanics research to applied petroleum engineering solutions, with recent emphasis on cement-based grout applications for enhanced oil recovery, three-dimensional reservoir visualization systems, and methane hydrate stabilization technologies. These works demonstrate strong industry relevance and methodological innovation in experimental design. Dr. Liu received the prestigious 66th Japan Association for Petroleum Technology Award (Encouragement Award) in 2022 for groundbreaking research on methane hydrate layer stabilization. Professional activities include lead and corresponding authorship on numerous publications, development of specialized experimental equipment for petroleum engineering education, and active supervision of research projects funded by organizations like the Arai Science and Technology Foundation. Current teaching responsibilities encompass multiple laboratory courses in basic science and engineering experiments. Dr. Liu directs a specialized research laboratory focused on methane hydrate stabilization, operating multiple custom-designed experimental systems including three-dimensional reservoir sweep micromodel visualization devices, core pressure injection units, and water tank experimental apparatus specifically engineered for studying grout material applications in hydrate-bearing formations.

• Japanese linguistics
• Japanese language education
• Grammar studies
• +۳ مورد دیگر

Takuro Moriyama is a Professor at Waseda University's Faculty of Letters, Arts and Sciences, School of Humanities and Social Sciences. His academic career spans several decades with a focus on Japanese linguistics, language education, and grammar studies. He has made significant contributions to the field through numerous publications and research projects. Education Background: 1985: Osaka University Graduate School, Division of Letters, Japanese Literature 1985: Osaka University 1982: Kyoto University of Education Faculty of Education Professor Moriyama's research interests center around Japanese linguistics and language education. His work explores various dimensions of Japanese grammar, spoken language, and pedagogical approaches. He has developed innovative frameworks for understanding Japanese grammar from both theoretical and practical perspectives, with particular attention to how grammar education can be improved in school settings. His research often bridges the gap between theoretical linguistics and practical language teaching, making complex linguistic concepts accessible to educators and students alike. His publications over the past decade demonstrate a consistent focus on advancing Japanese language education. Moriyama's work spans grammar reference materials, workbooks for various educational levels, and theoretical explorations of Japanese linguistic phenomena. His research shows particular interest in conversational grammar, politeness expressions, intonation patterns, and the practical application of linguistic theory in educational settings. He has also conducted comparative studies between Japanese and Chinese language structures, contributing to cross-linguistic understanding. Scientific Awards: Niimura Foundation Research Grant (1989) Professor Moriyama has served as principal investigator on numerous research projects funded by the Japan Society for the Promotion of Science. His work has focused on various aspects of Japanese language education, including grammar instruction, spoken language pedagogy, and cross-linguistic comparisons. He has been actively involved in professional organizations including the Japanese Language Association, Japanese Grammar Society, and The Japanese Language Education Association. At Waseda University, Professor Moriyama teaches courses in Japanese Grammar and Linguistics, supervises graduate research, and contributes to the development of Japanese language education curricula. His teaching philosophy emphasizes the connection between theoretical understanding and practical application in language learning.

• Architectural Environment
• Building Equipment
• Carbon Neutral Technologies
• +۶ مورد دیگر

Kan Shindo is an Assistant Professor (non-tenure-track) at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, Department of Architecture. He has held this position since April 2024, continuing through the present (2025). Prior to his faculty appointment, he was a JSPS Research Fellow for Young Scientists (2021-2024) and a Guest PhD student at the Technical University of Denmark (2022-2023). His educational background includes: Doctor of Engineering (2024.03, Waseda University) Master of Engineering (2021.03, Waseda University) Bachelor's degree in Architecture (2015.04-2019.03, Waseda University) Dr. Shindo's research focuses on architectural environment and building equipment, with particular expertise in Carbon Neutral technologies, Net Zero Energy Buildings, Energy Efficiency, and Thermal Comfort. His work bridges theoretical building performance models with practical implementation, examining how building systems interact with occupant comfort and environmental sustainability goals. He has made significant contributions to understanding radiant heating and cooling systems, especially their capacity to handle solar radiation while maintaining daylight harvesting benefits. His publication record demonstrates a clear progression from fundamental studies of radiant cooling systems to comprehensive analyses of building decarbonization pathways and whole life carbon accounting. Recent work (2025) examines energy simulations for multi-family residences with photovoltaic systems, while his 2024-2023 publications focus on radiant systems, whole life carbon analysis, and building resilience to heat waves. His research increasingly addresses the intersection of building technology, environmental performance, and human comfort in the context of carbon neutrality goals. His notable achievements include: Young Researcher Presentation Award (2022.11, Architectural Institute of Japan) JIA Environmental Architecture Award, Excellence Award (2021.12, The Japan Institute of Architects) Dr. Shindo currently leads the JSPS-funded research project 'Development of Cohort-Based Thermal Comfort Evaluation Methodology' (2024-2028) and serves on the Academic Committee of the Japan Sustainable Building Consortium. He teaches multiple courses at Waseda University including Architectural Design, Building Environment, and Environmental Aspects of Buildings and Cities, reflecting his integrated approach to architectural education that combines design, technology, and environmental performance.

Goki Miyakitaمشاهده پروفایل

عضو هیئت علمی

• Digital Humanities
• Semantic Web
• Information Design
• +۳ مورد دیگر

Goki Miyakita is a Senior Assistant Professor at Keio Museum Commons (KeMCo) and a Researcher at the Research Institute for Digital Media and Content (DMC), Keio University. He holds a Ph.D. and Master's degree in Media Design from Keio University. His research focuses on the intersection of user experience design and digital humanities, with a specialization in digital cultural heritage, semantic web technologies, and information design. At DMC, Dr. Miyakita contributes to MOOC course design and content development. His work bridges theoretical frameworks with practical implementation, emphasizing innovative methods for digital media and cultural preservation.