جست‌وجوی استاد و پژوهشگر

• Educational Technology
• Learning Sciences
• CSCL (Computer Supported Collaborative Learning)
• +۳ مورد دیگر

Shigeto Ozawa is a Professor at Waseda University's Faculty of Human Sciences, specializing in educational technology, learning sciences, and computer-supported collaborative learning (CSCL). He has been at Waseda University since 2010, with previous positions at Oita University and Yasuda Women's College. Ozawa holds a Ph.D. from Japan Advanced Institute of Science and Technology (2004) and completed his undergraduate education at Keio University. His research focuses on understanding student learning processes in collaborative and technology-enhanced environments. He has published extensively on educational technology, collaborative learning, reflection processes, and workplace learning. Recent work includes studies on how high school inquiry learning affects university research activities, self-exploration in interdisciplinary education, and the reflection processes of mid-level employees. His research spans both educational and workplace contexts, with particular attention to how technology can support learning and reflection. Ozawa's recent publications demonstrate a clear progression in his research interests, moving from foundational work in collaborative learning environments to more specialized investigations of reflection processes, inquiry-based learning, and interdisciplinary thinking. His work increasingly integrates quantitative and qualitative methods to understand learning processes in both educational and workplace settings. Notably, his research on mid-level employees' reflection processes represents a significant expansion of his work into the domain of workplace learning and human resource development. Liberal and General Education Society of Japan Japanese Cognitive Science Society Japan Society for Educational Technology Ozawa leads multiple research projects focused on understanding and improving student learning processes, particularly in hybrid and online learning environments. Current projects include developing systems to prevent social isolation among learners, measuring students' foot movements in HyFlex classrooms to estimate learning status, and studying students' in-class behavior during remote learning. His work has been supported by multiple Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science. Ozawa teaches courses related to learning environment design, learning sciences, and human behavior at both undergraduate and graduate levels. His teaching emphasizes practical application of learning science principles, with courses focusing on inquiry-based cross-disciplinary study, design of learning environments, and introduction to learning sciences.

Hirokazu Takahashiمشاهده پروفایل

استاد

• Neuroscience
• Neural engineering
• Electrophysiology
• +۱۳ مورد دیگر

Hirokazu Takahashi is a Professor and Principal Investigator at the Department of Mechano-Informatics, Graduate School of Information Science and Technology, University of Tokyo. He leads the Bio-Intelligence Systems Lab, where his team approaches neuroscience from a mechanical engineering perspective. His research spans multiple scales of neural networks, from dissociated neuronal cultures to rodent and human brains. Born in Sendai, Japan (1975) B.S., M.S., Ph.D. in Mechanical Engineering from University of Tokyo (1998, 2000, 2003) Assistant Professor at Department of Mechano-Informatics (2004) Associate Professor (2019) Professor (2023) His research focuses on reverse engineering the brain to understand neural computation in the cerebral cortex. His lab develops novel experimental methods including high-density microelectrode arrays to obtain large-scale neural data, which is then analyzed using machine learning and AI techniques. Key research areas include emergent computing with dissociated neuronal cultures, auditory system processing in rodents, and epilepsy research in both animal models and humans. The lab investigates how intelligence, consciousness, and fine arts emerge from neural networks at various scales. His recent publications demonstrate significant advancements in understanding spontaneous beat synchronization in rats, physical reservoir computing with living neuronal cultures, and vagus nerve stimulation effects on cortical responses. His work bridges engineering, neuroscience, and informatics to extract design principles of brain function. Engineering Department Head Award (Research) for student Kiki Mamiya Professor Takahashi has supervised numerous students through graduation theses, master's theses, and doctoral research. His lab maintains extensive collaborations with institutions including ETH Zurich, Maxwell Biosystems, Monash University, and NTT. His research is funded through various grants supporting interdisciplinary work at the intersection of mechanical engineering and neuroscience. The Bio-Intelligence Systems Lab operates at the cutting edge of neural engineering, developing technologies such as high-density CMOS arrays with 10,000 recording sites and creating bio-silicon hybrid sensors. The team investigates neural representation with functional maps, learning-induced plasticity, auditory streaming, and mismatch negativity. Current projects include studying the effects of music on brain activity, developing seizure detection algorithms, and exploring the mechanisms of vagus nerve stimulation.

Hiroshi Suitoمشاهده پروفایل

استاد

• Mathematical modeling
• Numerical simulation
• Fluid-structure interaction
• +۵ مورد دیگر

Hiroshi Suito is a full Professor and Principal Investigator at Tohoku University's Advanced Institute for Materials Research (AIMR), leading the Suito Hiroshi Laboratory at the Katahira Campus. His research bridges mathematical sciences with clinical medicine and materials science through advanced computational modeling. He directs the Mathematics Collaboration Group and serves as the Tohoku University liaison for the Fujitsu x Tohoku University Discovery Intelligence Co-Creation Laboratory. Professor Suito's research focuses on mathematical modeling of complex systems, particularly in cardiovascular biomechanics and materials science. His work develops novel numerical simulation techniques for fluid-structure interaction problems, with applications ranging from blood flow dynamics in patient-specific aortic models to environmental fluid dynamics. He has pioneered approaches connecting mathematical models with clinical diagnostics, especially in understanding aortic pathological mechanisms. His research integrates traditional numerical methods with emerging machine learning techniques to address challenges in medical imaging and diagnostics. His publication portfolio reveals a strong emphasis on cardiovascular modeling, with recent work focusing on blood flow simulation, arterial geometry analysis, and computational approaches to clinical diagnostics. The research demonstrates consistent integration of mathematical rigor with practical medical applications, particularly in understanding the relationship between vascular geometry and hemodynamics. His team has developed specialized computational tools for patient-specific modeling that have contributed to both theoretical advances and potential clinical applications. Scientific Awards: Minister of Education, Culture, Sports, Science and Technology Award for Science and Technology (2019) for research into the elucidation of aortic pathological mechanisms using mathematics Mimura Prize for Mathematical Science Research Professor Suito has received substantial research funding as Principal Investigator for multiple major projects, including the JST-Moonshot Research and Development Program (since 2020), MEXT projects on nanoparticle process-structure correlation (since 2022), and several JST-CREST and JST-PRESTO projects dating back to 2007. His laboratory actively trains PhD candidates and technical assistants in computational mathematics and its applications. He has established strong interdisciplinary collaborations across Tohoku University, including with the School of Medicine, and maintains international partnerships with institutions including Waseda University, University of Tokyo, University of Electronic Science and Technology of China, and University College London. The Suito Hiroshi Laboratory serves as a hub for mathematical science collaboration, working closely with the Mathematical Science Open Innovation Center established at Tohoku University in December 2019. The laboratory participates in international programs such as the G-RIPS Sendai internship program and maintains active involvement in both theoretical developments and practical applications of mathematical modeling in medicine and materials science.

• Food Industry
• Food Culture
• International Comparison of Management Systems
• +۳ مورد دیگر

Naoe Imura serves as Professor at Kyoto Sangyo University's Faculty of Social Engineering , Department of Social Engineering, where she leads the Management Systems Field. Her work bridges business administration with cultural studies, focusing on Japanese food systems and international management practices. Affiliated with the Center for Promotion of Creative Engineering Education, she maintains active research collaborations across Japan and internationally. Education: Doctoral Studies, Graduate School of Economics, Kyoto University (Completed 2003) Her research centers on food industry dynamics and cross-cultural management systems , with signature projects analyzing Japanese cuisine's global adaptation and Nordic design influences. Recent work employs text mining and comparative case studies to examine corporate governance evolution in Japan and Asia, particularly regarding female board representation. She integrates cultural heritage with strategic resource management , notably in Kyoto's historic districts facing tourism pressures. Analysis of her 10 most recent publications reveals three dominant themes: (1) Japanese culinary globalization (40% of output), (2) corporate governance innovation (30%), and (3) sustainable urban development (30%). Her methodological signature combines qualitative fieldwork in Japan with comparative textual analysis across US, Chinese, and Nordic contexts. Awards: Young Investigator Award, Japan Society for Information and Management (2017) Imura secures substantial external funding as Principal Investigator, including JSPS Challenge Grants ( "Deliciousness"-Driven Design Management , 2018-2024) and Santory Foundation support for food philosophy studies. Her MEXT-funded projects develop the IBEC model for industry-cultural analysis and track management system evolution across five industrialized nations. She actively contributes to governmental committees including Kyoto's Minimum Wage Council and Large Retail Store Location Review Board. Her professional engagements span the Academy of International Business and Association of Japanese Business Studies, with recent presentations in Malaysia, Spain, and Japan on halal market adaptation and startup ecosystem analysis.

• Social Systems Engineering
• Social Informatics
• Artificial Intelligence
• +۳ مورد دیگر

Yuya IEIRI serves as an Assistant Professor (non-tenure-track) at Waseda University's Graduate School of Information, Production, and Systems since 2022. He holds a Ph.D. in Engineering from Waseda University (2021) and has held various research positions including a Visiting Research Fellow at University of Surrey and JSPS Research Fellow. His academic work bridges social systems engineering, information technology, and community development. Dr. IEIRI's research focuses on Social Systems Engineering, Social Informatics, Artificial Intelligence, Human-Computer Interaction, Tourism Informatics, and Internet of Things. His work particularly examines how digital technologies can revitalize commercial districts, analyze tourist behavior, and create value in local communities. His research employs network science, augmented reality applications, and consumer behavior analysis to address real-world community challenges. His publication record demonstrates consistent output with 31 papers indexed in Scopus (60 citations, h-index 4) and 98 citations in Google Scholar (h-index 5, i10-index 3). His recent work shows a clear trajectory toward analyzing second-hand luxury markets using network motif analysis, community management in low-digitalized environments, and tourism resource development. Notable Awards: Teaching Award (Spring 2022) and 2023 Waseda University Technical Writing & Presentation Multiple Best Presentation Awards at international conferences (2020-2022) 7th FOST Newcomer Award (2020) Azusa Ono Memorial Award from Waseda University (2019) Dr. IEIRI actively contributes to academic service as a peer reviewer for the International Conference on Collaboration Technologies and Social Computing and as a navigator for the Kitakyushu Future Creation Seminar. He has received research funding from JST PRESTO, JSPS Grants-in-Aid, and other foundations to support his work on social capital development, tourist route design, and community computing systems. His teaching portfolio includes Probability and Statistics, Fundamentals of Industrial and Management System Engineering, Technical Writing & Presentation, and Special Exercises in Community Computing at Waseda University's Graduate School of Information, Production, and Systems.

• Industrial Engineering
• Operations Research
• Optimization
• +۵ مورد دیگر

Shunichi Ohmori , a Professor at the Faculty of Science and Engineering , Waseda University , holds a Doctorate in Engineering from the same institution. His academic journey includes continuous affiliation with Waseda University since 2011, currently serving as a faculty member and concurrently as Director of Research Institute at the Institute of Global Production & Logistics (2022-2026). Education: Doctorate (2009-2012), Master's (2007-2009), and Bachelor's (2004-2007) from Waseda University His research focuses on industrial engineering and operations research , with specific interests in optimization , facility planning , logistics , and supply chain management . He has developed innovative frameworks for: Robust supply chain design under disruption risks Multi-echelon inventory optimization 3D facility layout planning with pipeline arrangements Collaborative vehicle routing cost allocation Green product portfolio strategies under uncertainty His publication record demonstrates expertise in stochastic optimization (15+ peer-reviewed papers) and heuristic algorithms (14+ conference proceedings). He has received multiple Best Paper Awards (2012-2016) and contributed to curriculum development through courses like Advanced Facilities Planning , Supply Chain Transformation , and Logistics at both undergraduate and graduate levels.

• Japanese Language Education
• International Student Career Development
• Conversational Data Analysis
• +۴ مورد دیگر

Masumi Toramaru is a Professor at the Center for Japanese Language at Waseda University , with a focus on Japanese language education for international students and career development support. Her work spans sociolinguistic analysis, hybrid learning models, and cross-organizational career support systems. Education: PhD and Master's in Japanese Language Education from Waseda University Her research emphasizes dialogue-based career education , conversational data analysis , and multimodal teaching materials . Recent publications explore agency cultivation through dialogue, life skills development, and career autonomy for international students. She leads projects funded by the Japan Society for the Promotion of Science, including cross-organizational career support systems and PBL (Project-Based Learning) program development. Scientific Leadership: President of Association for Language and Culture Education Research Vice-chairman of Academic Japanese Group Study Group Editorial Committee Member of Society for Sociolinguistic Sciences Editor-in-Chief of Journal of Japan Society for Language and Culture Education (2018-2022) Her projects focus on career awareness analysis , web-based lecture comprehension tools , and interactional competence development through conversational data.

• Linguistics
• Theoretical Linguistics
• Semantics
• +۱ مورد دیگر

Mayumi Masuko is a Professor at the School of International Liberal Studies, International Christian University, specializing in Theoretical Linguistics with a focus on Semantics and Pragmatics. She holds a PhD in Linguistics from the University of Cambridge and has maintained an active research profile since the 1990s. PhD in Linguistics, University of Cambridge MPhil in Linguistics, University of Cambridge BA in Liberal Arts (English Linguistics), International Christian University Her research centers on the syntax-semantics-pragmatics interface, particularly examining lexical meaning extension, valence change, and argument suppression in Japanese and English. She investigates how contextual factors influence grammatical acceptability, with notable work on politeness formalization, connectives, and cross-linguistic comparisons of verb behavior. Her studies often bridge theoretical linguistics with applied concerns in academic writing and language education. Her publication record from 1995-2006 reveals consistent engagement with lexical semantics and pragmatic interfaces, demonstrating methodological diversity through corpus analysis, theoretical modeling, and cross-linguistic comparison. Key themes include the role of context in meaning determination, the fluidity of verb valence, and the pragmatic constraints on grammatical structures. JACET Award (Academic), 1998 Dr. Masuko has led multiple internal research projects including “Pragmatics of Politeness Formalization” (2006) and “Verb Meaning Reclassification in Japanese” (2002), receiving institutional support for her investigations into linguistic theory. Her teaching portfolio includes advanced seminars on pragmatics and semantics, reflecting her research expertise. She maintains affiliations with the Global Education Center and has participated in international collaborations, including a visiting researcher position at Cambridge University (2007-2009). Her work connects theoretical linguistics with practical applications in language education, particularly through analyses of academic vocabulary and plagiarism in second-language writing. Current research directions appear focused on computational approaches to contextual meaning and the formalization of pragmatic phenomena in Japanese grammar.

Tadashi Wadayamaمشاهده پروفایل

استاد

• Coding Theory
• Signal Processing
• Wireless Communications
• +۷ مورد دیگر

Professor Tadashi Wadayama serves in the Department of Computer Science within the Faculty of Engineering at Nagoya Institute of Technology. He holds a full professorship position and leads research initiatives in coding theory, signal processing, and deep learning applications for next-generation communication systems. Professor Wadayama received his B.E., M.E., and D.E. degrees from Kyoto Institute of Technology in 1991, 1993, and 1997 respectively. He began his academic career at Okayama Prefectural University in 1995 as a research associate and spent 1999-2000 as a visiting researcher at Essen University in Germany. He joined Nagoya Institute of Technology as an associate professor in 2004 and was promoted to full professor in 2010. He maintains active memberships in IEEE and the Institute of Electronics, Information and Communication Engineers (IEICE). His research spans multiple interconnected domains with primary focus on Coding Theory , Signal Processing for Wireless Communications , and Deep Learning applications . Professor Wadayama has made significant contributions to LDPC codes, MIMO signal detection, and the emerging field of deep unfolding techniques that bridge neural networks with traditional signal processing algorithms. His work increasingly incorporates physics-aware modeling of communication channels governed by partial differential equations. Recent research demonstrates strong interdisciplinary integration between information theory, machine learning, and communication engineering principles. Analysis of his recent publications reveals a clear trajectory toward developing foundational technologies for post-Shannon communication architectures. His work emphasizes ultra-large-scale coding, goal-oriented communication, digital homeostasis mechanisms, physics-embedded signal processing, and dual-process learning systems that combine fast reactive processing with deliberative meta-learning using LLM orchestrators. Fundamentals Review Best Author Award, IEICE, 2022 SRC 2010 Paper Award, Storage Research Promotion Organization, 2011 Professor Wadayama has successfully led multiple competitive research grants including JSPS Grant-in-Aid projects. He currently serves as Principal Investigator for the JST CRONOS project "Digital Cybernetics: Towards Next-Generation Communication Architecture" (2025-2031), which aims to develop foundational technologies supporting autonomous, adaptive, and robust large-scale AI systems. As IEEE Information Theory Workshop General Co-chair (2020-2021) and former chair of IEICE's Information Theory Research Committee (2020-2022), he maintains active leadership roles in the academic community. He leads the Wadayama Group at Nagoya Institute of Technology, which focuses on digital cybernetics and communication physics. The group develops physics-aware signal processing implementations, dual-process learning systems, digital homeostasis mechanisms, and system integration for next-generation communication architectures. His team collaborates with researchers from Kyoto University, Hiroshima University, Institute of Science Tokyo, and Tokyo University of Science, creating a robust research ecosystem focused on post-Shannon communication frameworks.