Find and connect with academic supervisors, professors, and scholars for your research journey.
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Assistant Professor
Zeinab Galal is an Assistant Professor at the Research Institute for Mathematical Sciences (RIMS) at Kyoto University. Her research focuses on semantics of programming languages , categorical logic , and fixpoint theory . For direct contact, her email is zgalal@kurims.kyoto-u.ac.jp .
Professor
Masayuki Ikeda serves as Professor at Waseda University with dual appointments in the Faculty of Commerce and Graduate School of Business and Finance. His academic career spans over three decades with significant contributions to financial economics and quantitative finance methodologies. His educational foundation includes a Doctor of Philosophy from Tokyo Institute of Technology, establishing his expertise in advanced financial modeling and econometric techniques. Professor Ikeda's research centers on Financial Economics with specialized focus on derivatives pricing under non-normal distributions , asset pricing theory , and disaster risk modeling . His pioneering work on transformed beta distributions for earthquake derivatives and curved-boundary option pricing demonstrates rigorous mathematical innovation applied to real-world financial challenges. He has developed preference-free pricing frameworks that accommodate complex distributional characteristics while maintaining practical applicability in Japanese and global markets. Analysis of his publication timeline reveals an evolution from foundational work on option pricing (1980s-1990s) toward contemporary applications in disaster risk and long-term investment strategies (2010s). His research consistently bridges theoretical finance with empirical market analysis, showing particular attention to Japan's unique financial landscape and regulatory environment. He actively leads major research initiatives including the 2019-2022 project on AI technology and big data disclosure systems , which integrates accounting, finance, and information science to develop next-generation capital market frameworks. His earlier 2015-2018 study on disaster impacts on capital markets documented disclosure practices during the Fukushima nuclear crisis and analyzed market reactions to the Great East Japan Earthquake. As an educator, Professor Ikeda directs multiple graduate seminars in Financial Economics while teaching specialized courses in Asset Pricing and Equity Investments. His 2025 syllabus demonstrates continued commitment to mentoring advanced finance students through research guidance and specialized instruction in both Japanese and English-language programs.
Professor
Kenichiro Shimizu is Professor at Waseda University’s Faculty of Education and Integrated Arts and Sciences and concurrently Professor Emeritus at Hokkaido University. Holding a University of Tokyo doctorate in Chinese literature, he has held faculty positions since 1994, spanning Chinese literature, East-Asian media history, tourism studies and language education. Education: Doctor of Literature, University of Tokyo (1994) – Chinese Language and Literature M. Lit., University of Tokyo (1991) – Chinese Language and Literature B.A., University of Tokyo (1989) – Chinese Language and Literature Research interests encompass modern Chinese literature, socio-cultural history of Republican China, East-Asian media history, peace and non-war movements, and tourism studies. His recent work explores the birth of mass tourism in 1920s–30s China, multilingual VR campus guides, and transnational peace-education networks. Publication trends reveal a long-term focus on Republican-era Chinese print culture, readership, and media, later expanding into tourism history and digital language education. Recent articles connect historical peace movements with contemporary educational technology. Awards & recognition: Excellent Teachers Award, Hokkaido University (2021) President’s Award for Outstanding Education, Hokkaido University (2016) Good Reviewer Award, JSPS (2014) Academic Encouragement Award, Mishima Kaiun Memorial Foundation (1995) Grants & projects: Principal investigator on JSPS Kakenhi projects concerning Chinese mass-tourism history and East-Asian tourism in the augmented-reality era; led university grants for VR-based language learning and AI-assisted hospitality communication. Professional service: Councillor of the Japan Chinese Language Proficiency Test Association since 2010; frequent keynote speaker and adviser on cultural-landscape preservation and high-school Chinese education events.
Assistant Professor
Tengfei SHAO is an Assistant Professor (non-tenure-track) at Waseda University's Global Education Center and Researcher at the Institute of Data Science. His academic journey includes a Doctorate in Engineering from Waseda University's School of Creative Science and Engineering, completed in March 2025. 2022.04 - 2025.03: Doctorate at Waseda University, School of Creative Science and Engineering, Management Systems Program 2020.04 - 2022.03: Master's studies at Waseda University Dr. SHAO's research centers on network science applications across diverse domains. His primary interests include Complex Systems, Network Analysis, and Social Systems Engineering, with particular focus on second-hand luxury market dynamics, AI ethics education, and sentiment analysis. His work frequently employs network motifs as analytical tools to uncover hidden patterns in consumer behavior, market trends, and social interactions. He has developed innovative approaches to analyzing e-commerce versus brick-and-mortar retail environments, particularly in the luxury goods sector. His publication record reveals a consistent trajectory of interdisciplinary research spanning computer science, economics, and social sciences. His most recent work integrates multimodal learning with sentiment analysis, medical image segmentation techniques, and advanced network analysis methodologies. The trend shows increasing sophistication in applying network science to real-world business problems, particularly in the luxury market sector. Association for Computing Machinery (ACM) member since 2024 Institute of Electrical and Electronics Engineers (IEEE) member since 2024 計測自動制御学会 (SICE) member since 2022, serving on Social Systems Committee since 2024 人工知能学会 (JSAI) member since 2022 電子情報通信学会 (IEICE) member since 2022 情報処理学会 (IPSJ) member since 2020 At Waseda University's Global Education Center, Dr. SHAO teaches multiple programming courses including Basic AI Programming, Introduction to Python Programming, Database Management, and Fundamentals of Information Science across different quarters. His teaching portfolio demonstrates expertise in foundational computer science education for international students. His research methodology consistently applies network science principles to diverse domains, creating bridges between technical analysis and practical business applications, particularly in understanding consumer behavior in digital marketplaces.
Assistant Professor
Jun Matsuba is an Assistant Professor at Waseda University's Faculty of Social Sciences and Institute for Advanced Social Sciences. He holds a PhD in Sociology from Hitotsubashi University (2022) and has been active in teaching and research since 2022. Education: PhD from Hitotsubashi University Graduate School of Sociology (2022) Teaching: Courses on Taiwanese history at Waseda University and Global Education Center His research focuses on Transportation History and Taiwanese History , particularly examining Japan-Taiwan historical connections through railway systems and maritime networks. He explores themes of colonial infrastructure , industrial heritage , and transnational cultural memory . Recent publications highlight his expertise in: Japanese colonial transportation infrastructure in Taiwan Technology transfer in railway development Postwar historical memory construction He actively participates in international academic exchanges including symposia on Japan-Taiwan industrial cooperation and public history practices. His work bridges academic research with educational initiatives through school travel guides and cultural programs.
Associate Professor
Yuko OTA is an Associate Professor at Waseda University's Global Education Center, specializing in Japanese Applied Linguistics. With a PhD and MA from Waseda University and study abroad experience at The University of Queensland, she focuses on plurilingual education, language policy, and teacher development. PhD in Japanese Applied Linguistics (Waseda University, 2009) MA in Japanese Applied Linguistics (Waseda University, 2006) Study Abroad Program (The University of Queensland, 2004) Her research explores Japanese language education for children in multicultural contexts, teacher professional development, and academic writing. Recent publications highlight mobility, plurilingual practices, and identity formation. Key article trends include mobility studies, plurilingual literacy, and intercultural pedagogy. She has received the Waseda University Teaching Award (2021) and leads projects funded by Japan Society for the Promotion of Science and Waseda University.
Assistant Professor
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.
Professor
Kazunori Ueda is a Professor at Waseda University's Faculty of Science and Engineering, with a career spanning over three decades in logic/constraint programming, hybrid systems, and concurrency. He has held visiting positions at the Egypt-Japan University of Science and Technology and part-time roles at the University of Tokyo. His research bridges theoretical advancements and practical implementations, focusing on languages like HydLa and LMNtal for hybrid and concurrent system modeling. Research Interests: Logic and Constraint Programming Hybrid Systems Modeling Concurrency and Parallelism Programming Language Design and Implementation Article Trends: Recent works emphasize symbolic simulation of hybrid systems, graph rewriting optimization, and distributed storage reliability. His work integrates interval arithmetic, constraint hierarchies, and formal verification techniques. Scientific Awards: Fellow, Japan Society for Software Science and Technology (2016) Fellow, Information Processing Society of Japan (2015) Basic Research Award, Japan Society for Software Science and Technology (2011) Multiple Best Paper and Encouragement Awards (1985–2010)
Research Fellow
Shintaro Uchiyama serves as a Research Associate at Waseda University's Faculty of Human Sciences since April 2025. Previously, he held positions as a Part-time Lecturer at National Institute of Technology, Toyota College (2021-2024) and teaching assistant roles at Toyohashi University of Technology. His academic foundation includes Bachelor's and Master's degrees in Engineering from Toyohashi University of Technology, completed in 2020 and 2022 respectively. Bachelor of Engineering (2020), Toyohashi University of Technology Master of Engineering (2022), Toyohashi University of Technology Graduate Coursework Completed (2025), Toyohashi University of Technology Uchiyama's research focuses on educational technology innovation, particularly in generative AI applications for learning support systems and flipped classroom methodologies. His work bridges speech recognition technologies with educational applications, developing systems that enhance student engagement through immediate feedback mechanisms and annotation tools. Current projects include STEAM learning environments using XR technology and learning behavior analysis systems for correspondence high schools. His publication record demonstrates consistent output in educational technology conferences and journals, with recent work emphasizing large language models for educational feedback and mixed reality applications. Research trends show progression from foundational VR/Hololens educational tools (2018) toward sophisticated AI-driven learning systems (2023-2025), maintaining focus on practical classroom implementation. 特別研究報告会最優秀特別研究発表賞 (Toyohashi University, 2022) 優秀講演賞 (ATS2020 Symposium, 2021) Rinnai Scholarship Foundation Award (2022) Japan Student Services Organization Half-Repayment Exemption (2022) Multiple student support awards from Toyohashi University (2021-2022) Uchiyama actively contributes to educational research through JSPS-funded projects including 'Establishing STEAM learning environments utilizing generative AI' (2024-2029) and 'Learning behavior analysis for correspondence high schools' (2025-2027). His committee work includes publicity chair roles for International Conferences on Advanced Informatics. Professional memberships span the Japanese Society for Information and Systems in Education and Japan Society for Educational Technology since 2019-2020.
Professor
Yasutaka Kamei is a Full Professor at the Graduate School and Faculty of Information Science and Electrical Engineering , Kyushu University since 2024. He holds a Doctorate in Information Science from Nara Institute of Science and Technology and has been a InaRIS Fellow since 2023. His career spans roles as Associate Professor (2015-2023), Visiting Researcher at Queen's University (2015-2017), and Assistant Professor (2011-2015). Research Fields: Specializing in Empirical Software Engineering , he investigates software reliability, defect prediction, code review practices, and mining software repositories. His work on fuzz testing , technical debt , and automated program repair has produced influential frameworks like TraceJIT and PAFL . He pioneered studies on developer behavior in GitHub and federated learning for cross-project defect prediction. Scientific Trends: Recent publications focus on LLM applications in mutation testing , visual bug reporting , and CI/CD inefficiencies . His team explores developer-centric challenges in modern practices, including token-based micro commits and fuzzing build failures . Awards & Grants: InaRIS Fellowship (2023): 10-year, 100M yen grant for human-machine interaction in software development IPSJ/ACM Early Career Award (2013) Leadership: He chairs PC for MSR2018 , co-organizes NII Shonan Seminars , and serves on committees for ICSE , ASE , and SANER conferences. His editorial roles include Empirical Software Engineering and Automated Software Engineering journals.
Professor
Brian Cullen serves as Professor in the Department of Fundamental Study within Nagoya Institute of Technology's Graduate School of Engineering. His academic journey includes multiple advanced degrees: PhD in Psychology (Central University of Nicaragua, 2024), PhD (Leeds Metropolitan University, 2009), MA (Aston University, 1998), and Master of Engineering (Trinity College Dublin, 1991). His research centers on English Language Teaching (ELT) with specialized focus on materials development, educational psychology, and Neuro-Linguistic Programming applications. Cullen's work bridges technical engineering disciplines with language education through innovative audio engineering techniques for EFL resources. His publication trends reveal consistent contributions to practical ELT solutions, particularly addressing challenges in Japanese educational contexts through case studies and framework development. Professional recognition includes the Best of JALT Presentations Award (2008) and Material Writers Contest (JALT 2006). His scholarly output spans 15+ recent publications examining materials development challenges, online learning benefits, and interdisciplinary connections between psychology, NLP, and music education. Cullen actively contributes to academic service through editorial roles including PanSIG Editorial Board (JALT), Material Writers SIG Editor, and committee positions with NLP Connections Japan (Chairman) and Association of NLP. His industry engagement extends to artistic works including musical compositions and sound engineering projects for educational media.
Academic
HAGIYA Masami is a Senior Professor at the Graduate School of Information Science and Technology , University of Tokyo. His research spans theoretical and practical aspects of computing, including software verification, molecular robotics, and DNA computing. Specialty : Computer science Research Themes : Analysis, verification, and synthesis of computational models Research Interests focus on bridging formal methods with biochemical computation systems. His work integrates software engineering and mathematical logic to develop novel approaches in symbolic execution and runtime verification , while pioneering research in molecular robots and DNA-based computing architectures. Scientific Awards include multiple Japanese government grants across diverse domains: Grant-in-Aid for Scientific Research (C) (2020-2022) Challenging Research (Exploratory) (2017-2020) Scientific Research on Innovative Areas (multiple projects 2012-2016) Scientific Research (B) (2014-2016)
Professor
Masahito Hasegawa is a Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University, specializing in foundational aspects of computation and programming language theory. His core research domains include: Theoretical Computer Science (mathematical foundations of computation) Programming Languages (design and analysis) Semantics of Programming Languages (operational and denotational approaches) Category Theory (categorical models for computation) Type Theory (logical frameworks for programming) Lambda Calculi (formal systems for functional computation) Professor Hasegawa's work bridges abstract mathematical structures with practical programming language implementation, particularly advancing functional programming paradigms through rigorous semantic modeling. His research integrates category-theoretic methods to solve fundamental problems in language design and execution. He maintains active research collaboration through RIMS, a premier mathematical research institute in Japan, and communicates through his institutional profile and publications.
Professor
Hajime Kaizawa is a Professor at Waseda University within the School of Humanities and Social Sciences . He holds a Master of Arts from Waseda University and has been affiliated with institutions such as Aichi Shukutoku University, Hokkaido University Slavic Research Center, and The University of Tokyo Graduate School. Education : Master of Arts (Waseda University, 1992), Faculty of Literature (Waseda University, 1986) Research Interests focus on Russian Literature and European Literature , with interdisciplinary explorations of Soviet culture, Mikhail Bakhtin's theories, media history, perception theory, Russian Formalism, and postmodernism. His work bridges literary analysis with cultural studies, examining themes like national identity, gender representation, and the interplay between language and ideology. Research Trends in his publications include analyses of Russian literary resistance, myth-making in imperial unity, Soviet cultural stagnation, and the methodology of humanities. His recent works explore topics such as nationalization of literature, formalist theories, and post-Stalinist cultural self-representation. Academic Affiliations include: Vice President, Japanese Society of Russian Literature (2017–2021) Director, Japan Society of Russian Literature Member, Representational Culture Theory Society Japan Comparative Literature Association Grants & Projects include: Japan Society for the Promotion of Science (JSPS) grants for studies on Russian self-concept, Soviet cultural structures, and literary production from 1870–1930 Co-led international seminars on Russian culturology Teaching & Media Contributions span NHK Russian language programs, syllabi on totalitarian culture, and seminars on contemporary Russian art. He has also contributed to public cultural discourse through lectures and radio/tv appearances.
Professor
Koichiro Yamauchi is a Professor at Waseda University's Faculty of Letters, Arts and Sciences, specializing in American modern poetry. With a career spanning institutions like Shizuoka University and UC Berkeley, his research focuses on avant-garde American poets such as Michael Palmer, Ezra Pound, and Robert Duncan, alongside comparative studies of Japanese and Western contemporary poetry. He has led groundbreaking research on Objectivist poetry, anti-elegy, and Agamben's linguistic theories. 1994-1998: MA in English Literature, Meiji Gakuin University 1996-1997: UC Berkeley exchange program 1988-1992: BA in English, Dokkyo University His research explores: Michael Palmer's hybridization of Dante's polysemy Ezra Pound's modernist legacy Giorgio Agamben's linguistic potentiality Anti-elegy as poetic evolution Postmedia adaptation ethics His 15 most recent articles analyze American avant-garde poetry's intersections with philosophy, war discourse, and global cultural conversations, with a focus on linguistic materiality and ethical frameworks. Scientific Awards: 7th Niwa Fumio Award (2016) Fukuoka Memorial Grant (2015) He has taught courses on American literature history, modernist poetry, and literary criticism at Waseda and Shizuoka Universities, while organizing international poetry festivals and contributing to translation ethics research.
