Find Academic Supervisors

Laurence Anthony is a Professor at Waseda University's School of Creative Science and Engineering, specifically affiliated with the Center for English Language Education in Science and Engineering (CELESE). He has held this position since 2009, having previously served as an Associate Professor at the same institution from 2004-2009. His academic journey began with a BSc from The University of Manchester (1991), followed by an MA (1997) and PhD (2002) from The University of Birmingham. Anthony's research centers on corpus linguistics, educational technology, and natural language processing applications in foreign language teaching. He is renowned for developing AntConc, a widely used freeware corpus analysis toolkit, along with numerous other educational software tools including AntWordProfiler, FireAnt, and ProtAnt. His work bridges linguistic theory with practical classroom applications, particularly in data-driven learning approaches for English as a Foreign Language contexts. His publication record is extensive with over 50 papers, 12,115 Google Scholar citations, and an h-index of 45. His recent work increasingly explores the intersection of corpus linguistics and artificial intelligence, examining how language models can enhance language teaching and analysis. Anthony's research has evolved from foundational corpus tool development to sophisticated applications in vocabulary profiling, writing analysis, and AI-assisted language learning. Among his notable recognitions are the Waseda University 6th e-Teaching Award (2018), the National Prize of the Japan Association of English Corpus Studies (2012), and the L'Oreal Art and Science of Color Gold Prize (2005). He serves on multiple editorial boards including for Studies in Corpus Linguistics, Journal of Asia TEFL, and Corpus Linguistics Research Journal. Anthony actively contributes to the academic community through numerous presentations at international conferences, recent ones including talks on AI integration with corpus methods at Corpus Linguistics 2025 and the LSP-Num Conference. His professional activities demonstrate ongoing engagement with both theoretical developments and practical applications in language education technology.

• Corpus Linguistics
• Educational Technology
• Natural Language Processing
• +5 more

Takuya Sobukawa is a Professor at Waseda University's Global Education Center since 2014. His academic journey includes professorships at Okayama University (1997–2010, 2010–2014) and Hyogo University of Teacher Education (1997–2010). His research spans Real Analysis , Interpolation/Extrapolation Theory , and Mathematics Education . He has led significant grants on function spaces and operator theory, with a focus on Morrey, Lorentz, and Orlicz spaces. Education: M.SC. and Ph.D. from Keio University (1986–1992). His publications bridge complex interpolation , stochastic convolutions , and harmonic analysis . Recent works include Morrey space preduals (2019) and applications to PDEs. He has presented globally, including at RUDN University (2017) and Kyoto University RIMS (2004), and contributed to projects on ICT in mathematics education and English-math integration . Notable grants include JSPS-funded studies on variable-exponent function spaces (2012–2015) and geometric constants in Banach spaces (2007–2009).

• Mathematics Education
• Real Analysis
• Interpolation Theory
• +3 more

Ayaka Sugawara serves as Associate Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, with concurrent affiliation at the Global Education Center and Waseda Research Institute for Science and Engineering (2024-2026). Her academic journey includes positions at Mie University (2015-2019) and multiple research appointments. BA (2008) and MA (2010) from The University of Tokyo PhD in Linguistics (2016) from Massachusetts Institute of Technology Dr. Sugawara's research spans formal semantics, pragmatics, and language acquisition with specific focus on quantifier scope interpretation , focus particles , Japanese dialectology , and second language processing . Her experimental work combines cross-linguistic comparison (Japanese/English/German/Persian), neuroimaging techniques (MEG/EEG), and computational approaches to vocabulary assessment. Current investigations examine early English education's impact on first language acquisition and non-literal language processing. Her publication trends reveal consistent interdisciplinary work bridging theoretical linguistics with educational applications, particularly in automated language assessment tools and experimental validation of semantic theories across developmental stages. Recent work demonstrates increasing collaboration with computational linguists and educational technologists. Dr. Sugawara actively contributes to the academic community through: Standing Committee membership in The Linguistics Society of Japan (2021-present) Professional affiliations with Linguistic Society of America and The Japanese Society for Language Studies Her research projects include multiple Japan Society for the Promotion of Science grants examining: Early English education effects on L1 acquisition (2021-2024) Question-under-Discussion mechanisms in ambiguous sentences (2019-2021) Cross-linguistic 'only' comprehension studies (2016-2018) Current internal projects investigate non-literal language processing and pragmatics in L1/L2 acquisition contexts.

• semantics
• pragmatics
• language acquisition
• +3 more

Kusumoto Noriaki is a Professor at Waseda University's School of Education within the Faculty of Education and Integrated Arts and Sciences. With a Doctor of Science degree from Waseda University, he maintains an active research profile with teaching responsibilities for 2025 including Seminar in Cultural Sciences, Introduction to Information Processing, Cultural Sciences: Maps, Information Society/Information Ethics, and Application of Information Technology and Career courses. His academic work bridges educational technology and biological sciences, reflecting a unique interdisciplinary approach. Professor Kusumoto's research interests focus on educational technology and science education, particularly e-learning and Web-Based Training (WBT) systems. His work demonstrates significant contributions to language learning technologies, including mobile learning applications for English vocabulary acquisition, learning history analysis for personalized instruction, and corpus development for language proficiency assessment. He has also maintained a parallel research line in photosynthetic reaction centers of green sulfur bacteria, with publications dating back to the 1990s that examine electron transfer mechanisms and ferredoxin interactions. His publication record shows a clear evolution from biological research toward educational technology applications, with recent work (2003-2008) predominantly focused on language learning systems, data infrastructure for educational research (VALIS project), and information ethics. The 15 most recent publications reveal a strong emphasis on practical applications of technology in language education, with particular attention to mobile learning, learning analytics, and networked systems for language data collection and analysis. His work consistently addresses the intersection of technology, pedagogy, and practical implementation challenges. Professor Kusumoto has been involved in numerous research projects funded by the Japan Society for the Promotion of Science, including 'Data Collection and Annotation of Relatively Spontaneous Utterances by Japanese Learners of English' (2009-2013) and 'English learning with handheld devices' (2007-2009). His professional memberships include the Biophysical Society of Japan, Japanese Society for Biology Education, Japan Society for Educational Technology, and Information Processing Society of Japan, reflecting his dual expertise in both biological sciences and educational technology. As a concurrent researcher at the Waseda Research Institute for Science and Engineering and affiliated with the Global Education Center (2024-2026), Professor Kusumoto maintains an active research presence. His work on information ethics, particularly in educational contexts, demonstrates his commitment to addressing the social and ethical dimensions of technology in learning environments. His early research on photosynthetic reaction centers continues to inform his approach to science education methodology and biological curriculum development.

• Educational technology
• Science education
• e-learning
• +4 more

Naoko Yagi is Professor at the Faculty of Political Science and Economics, Waseda University, Tokyo. A theatre scholar trained at Sophia University and the University of Warwick (PhD Theatre Studies, 1999), she specializes in twentieth- and twenty-first-century British & Irish drama, with particular attention to Harold Pinter, Samuel Beckett, Frank McGuinness, and the aesthetics of performance sound. Education: PhD Theatre Studies, University of Warwick (1993-1999) MA Theatre Studies, University of Warwick (1991-1992) MA Linguistics, Sophia University (1988-1990) BA English Literature, Sophia University (1984-1988) Research interests cluster around the sonic and spatial dimensions of plays, radio drama, archival recordings, and intermedial adaptation. Recent work applies sound-studies methodologies to modern Irish and British canonical texts, examining how auditory choices re-configure audience perception. Her more than thirty refereed articles trace a consistent trajectory: close readings of playtexts merged with performance analysis, often drawing on unpublished drafts, audio recordings, and international productions. Over two decades she has likewise co-edited three academic volumes, including Irish Theatre and Its Soundscapes (2015). Scientific recognition: invited visiting fellowships at Clare Hall and Wolfson College (Cambridge), the Moore Institute (Galway), and Columbia University; Erasmus+ teaching mobility at Ca' Foscari University of Venice. Teaching & grants: she currently delivers six undergraduate courses per year (Shakespearean tragedy, News English, world literature, etc.) within Waseda’s Political Science & Economics curriculum, and has led internal special-research projects on Pinter’s screenwriting. No graduate advisees or major prizes are recorded in the supplied material.

• Theatre Studies
• British and Irish Drama
• Performance Aesthetics
• +3 more

Professor Yuka Ishikawa serves in the Department of Fundamental Study within Nagoya University's Graduate School of Engineering, specializing in engineering English education and academic discourse analysis. Her research bridges applied linguistics and engineering education through corpus-based investigations of writing patterns. Her research focuses on metadiscourse analysis in engineering research abstracts , gender representation in language textbooks , and development of English learning tools for Japanese engineering students . Key projects include the EJET system for thesis English conversion and J-ENG2 vocabulary learning platform. Recent publications (2021-2024) reveal consistent investigation of disciplinary variation in engineering writing , cultural differences in self-mention patterns , and gender representation in educational materials . Her work demonstrates strong interdisciplinary connections between linguistics, gender studies, and engineering education. Japan Society of English Language Education Award (2008) Professor Ishikawa has secured multiple Japanese government research grants including KAKENHI projects on engineering English vocabulary systems (2016-2019) and gender representation in textbooks (2016-2020). She serves as Principal Investigator for the 2023-2026 project on authorial presence markers in academic texts (Grant 23K00673). She actively contributes to academic communities through leadership roles in the Japan Association of College English Teachers (Chubu Chapter President 2019-2021) and the Japanese Society for Stylistics (Board Member).

• Academic Writing
• Engineering English
• Gender Studies in Language Education
• +5 more

Hiroko Nishiguchi is a Professor at Waseda University's School of Creative Science and Engineering with concurrent research roles at the Waseda Research Institute for Science and Engineering . She has held visiting professorships at Universität Kassel and taught at multiple Japanese universities. PhD in Comparative Literature (Tokyo University of Foreign Studies) MA in German Literature (Sophia University) Her research specializes in: Grimm's Fairy Tales reception and translation in Japan German-Japanese cultural exchange through literary illustration Comparative media studies across books, animation, and oral traditions Translation methodologies in pre-modern Japanese contexts Key article trends show Meiji-period Grimm translations with textual adaptation patterns, cross-cultural illustration analysis between Germany and Japan, and anime adaptation studies focusing on Studio Ghibli's works. Her publications span both Japanese and German academic journals. Scientific recognition includes: 2023 Waseda University Academic Research Book Award 2022 Japan Society for Children's Literature Honour Award She supervises graduate theses and seminars at Waseda University, focusing on literature collection methodologies and cross-cultural presentation techniques . Current research explores Meiji-era translated works and their Pan-Asian influence through linguistic frameworks.

• Comparative Literature
• Cultural Studies
• Translation Studies
• +5 more

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.

• Financial Economics
• Asset Pricing
• Derivatives Pricing
• +3 more

Mark Bowen is a Professor in the Faculty of Science and Engineering at Waseda University, where he serves as Chair of the Major in Mathematical Sciences. He has been with Waseda University since 2011, first as an Associate Professor (2011-2022) and then as a Professor (2022-present). Prior to joining Waseda, he held academic positions at The University of Tokyo and the University of Nottingham, establishing an international research profile. Professor Bowen's research focuses on thin-film theory and mathematical analysis of degenerate parabolic equations. His work employs a combination of analytical methods (perturbation theory, bifurcation theory, dynamical systems, self-similarity) and numerical techniques (shooting methods, boundary value solvers, ADI computations) to study phenomena such as rupture, moving contact lines, and the effects of surface topography on liquid motion. His expertise extends to fluid mechanics, asymptotic analysis, and computational mathematics. His publication record demonstrates sustained research productivity over two decades, with recent work focusing on singularity formation in thin film equations, Cauchy-Dirichlet problems, and dipole solutions. The research spans theoretical mathematical analysis and practical fluid dynamics applications, connecting pure mathematics with real-world phenomena involving thin liquid films in nature and industry. American Physical Society (APS) Society for Industrial and Applied Mathematics (SIAM) Japanese Society for Industrial and Applied Mathematics (JSIAM) Mathematical Society of Japan Japan Society of Fluid Mechanics American Mathematical Society (AMS) Professor Bowen received the President's Award for Teaching from Waseda University in Spring Semester 2015. He supervises Master's theses and research projects, with current work including analysis of thin film equations on two-dimensional domains and Cauchy-Dirichlet problems for the porous medium equation through international collaborations. He leads the Bowen Laboratory, which currently includes undergraduate researchers Matthew Widjaja, Katerina Allegracia, Yaxin Luo, and Sameer Sharma. His research group has produced significant contributions to understanding thin film dynamics, rupture phenomena, and mathematical modeling techniques applicable across various scientific domains.

• Thin-film theory
• Mathematical analysis
• Degenerate parabolic equations
• +5 more

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.

• English Language Teaching
• Educational Psychology
• Materials Development
• +4 more

Yves Lepage is a Professor at Waseda University's Faculty of Science and Engineering, specifically within the Graduate School of Information, Production, and Systems. He maintains an active research laboratory (lepage-lab.ips.waseda.ac.jp) and teaches courses including Example-based machine translation/NLP, Natural language processing, and Master's/Doctoral thesis supervision for the 2025 academic year. His research focuses on the application of analogical reasoning to natural language processing problems, particularly machine translation. Lepage's work spans formal analogy between strings, sentence-level analogies, morphological analysis, and multilingual systems. His research interests include machine translation, analogy, multilingual alignment, multilingual large language models, and foreign language aids. He has made significant contributions to understanding analogical density in corpora and developing methods to leverage analogies for translation, especially in low-resource scenarios. His publication record shows consistent output through 2024, with research evolving from foundational work on proportional analogy to sophisticated applications with neural networks. Recent work explores masked prompt learning for analogies, fuzzy analogies for translation, and organizing lexica into analogical grids for morphological generation across languages. Waseda University Teaching Award (Spring semester 2016) Lepage has successfully led multiple research projects funded by the Japan Society for the Promotion of Science, including "Theoretically founded algorithms for the automatic production of analogy tests in NLP" (2021-2024) and "Self-explainable and fast-to-train example-based machine translation using neural networks" (2018-2021). His work has involved international collaboration, including a 2023-2024 research period at the University of Montreal. He serves as Concurrent Researcher at the Waseda Research Institute for Science and Engineering (2024-2026) and has been active in professional organizations including the Information Processing Society of Japan and the Japanese Natural Language Processing Association.

• machine translation
• analogy
• multilingual alignment
• +7 more

John Maurice Gayed is an Associate Professor at the Global Education Center of Waseda University . Holding a PhD from Tokyo Institute of Technology (2023) , he specializes in Educational Technology , focusing on AI-driven tools for language learning and metacognitive strategies. Research Themes : AI writing assistants, equity in educational technology, cognitive load reduction for EFL learners. Grants : Japan Society for the Promotion of Science (JSPS) Grant (2022.04–2025.03) for AI-based writing assistant studies. Courses Taught : Academic Writing and Discussion in English (Alpha/Beta) for undergraduate and retaker students. His publications (9+3) span Computer Science , Linguistics , and Education , with key trends including: AI-based writing tools (e.g., AI KAKU, Grammarly) for EFL learners. Metacognitive training in online learning environments. Equity implications of educational technology (Matthew effect in CALL). Twine for nonlinear educational storytelling. Climate risk mitigation tools for elderly populations. MOOCs and blended learning in cross-cultural contexts. Grant Details : His JSPS-funded project investigates AI writing assistants' long-term impact on EFL writing proficiency. Collaboration with May Kristine Jonson Carlon and Jeffrey S. Cross is frequent, with tools like AI KAKU and metacognitive tutors being central to his work.

• Educational technology
• Second Language Acquisition
• Artificial Intelligence in Education
• +4 more

Dr. Shigeo Sakuragi is an Assistant Professor at Waseda University's School of Advanced Science and Engineering, Department of Biophysics, where he has served since April 2022. Previously, he held research positions at Waseda University's Research Institute for Science and Engineering (2020-2022), Yamagata University's Faculty of Medicine (2018-2020), Tohoku University's Graduate School of Life Sciences (2016-2018), and Nagoya University as a Postdoctoral Fellow (2014-2016). His educational background includes a Ph.D. from Osaka University's Graduate School of Frontier Biosciences (2010-2014) and a Bachelor's degree from Osaka University's Faculty of Science (2006-2010). Dr. Sakuragi's research focuses on the intersection of neuroscience, biophysics, and pharmacology, with particular emphasis on Neuropharmacology of anesthetics Synaptic plasticity mechanisms Neurodegenerative disease processes Calcium signaling in astrocytes Optogenetic approaches to studying neural function His work combines advanced imaging techniques like quantum dot-single particle tracking with molecular and cellular neuroscience approaches. His publication record shows a clear progression from fundamental studies of synaptic plasticity and BDNF signaling (2010-2015) toward more applied research on anesthesia mechanisms and neurodegenerative processes (2016-present). Recent work prominently features optogenetic tools for controlling tau aggregation and studying anesthetic effects on neuronal receptors. Dr. Sakuragi has received notable scientific recognition including: 2025 Biophysics and Physicobiology Editors' Choice Award Waseda University Teaching Award (2022) 2018 Biophysics and Physicobiology Editors' Choice Award He serves on Waseda University's Collaboration Council as a Working Member of the Joint Research Group (2023-present) and maintains active professional memberships in major neuroscience and biophysics societies in Japan. His current research is supported by competitive grants from the Japan Society for the Promotion of Science focusing on volatile anesthetics' mechanisms and tau aggregation in postoperative cognitive dysfunction. At Waseda University, Dr. Sakuragi leads the Banna Lab (https://sites.google.com/view/wasedabannailab/english), which specializes in applying advanced biophysical techniques to neuropharmacological questions, with particular expertise in single-molecule tracking and optogenetic approaches to study anesthesia mechanisms and neurodegenerative processes.

• Neuroscience
• Biophysics
• Physiology
• +3 more

Professor in the Department of Information Engineering, Graduate School of Engineering, specializing in distributed algorithms and autonomous mobile robotics. Research focuses on self-stabilizing systems for luminous robots, fault tolerance, and grid-based coordination with applications in dynamic network environments. Degrees: Doctor (Engineering) and Master (Engineering) from Osaka University Professional Memberships: ACM, IEEE Computer Society, Information Processing Society of Japan (IPSJ), Institute of Electronics, Information and Communication Engineers (IEICE) Research centers on theoretical informatics and computer systems, particularly self-stabilizing distributed algorithms for robot swarms. Key areas include visibility problems in luminous robots, Byzantine fault tolerance, and uniform deployment in bipartite graphs. Recent work addresses defected-view models and st-edge-ordering via ear decomposition, emphasizing algorithmic solvability under asynchronous conditions. Publications since 2022 reveal strong trends in mobile robotics (70% of output) and distributed computing (30%), with subfield emphasis on fault tolerance (25%), grid networks (20%), and self-stabilization (15%). International collaborations with Israeli and Japanese researchers dominate recent work. Information and System Society Contribution Award (2024) - For editorial contributions to English-language journals 13th Telecommunications Advancement Foundation Award (1998) - For student research in telecom systems Secured multiple competitive grants including JSPS KAKENHI projects (2020–2025) as co-PI on $$\text{JP20KK0232}$$ ($$\text{\$18.72M JPY}$$) for sustainable autonomous systems, and JST SICORP funding (2018–2022) for low-functionality robot swarms. Previously led NTT DoCoMo collaborations on fault-tolerant routing (2007–2008) and sensor networks (2004–2006). Serves as advisor to researchers like Yonghwan Kim and Masahiro Shibata through co-authored publications. Leads the Center for Research and Development in Higher Engineering-Education while chairing major symposia including the 26th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2024). Organizes the Information Science Workshop series as committee chair and participates in program committees for CANDAR and IEEE conferences.

• Theory of Informatics
• Computer Systems
• Distributed Algorithms
• +2 more

Nilson Kunioshi is Professor at Waseda University’s School of Creative Science and Engineering, holding a Dr. Eng. from Kyoto University. His work integrates combustion chemistry, materials chemistry, and science-education research, with 32 Scopus papers and an h-index of 8. He leads projects on CVD reaction kinetics, English-medium instruction, and corpus-based pedagogical tools. Education: 1992 – Dr. Eng., Graduate School of Engineering, Kyoto University (Industrial Chemistry) 1985 – B.Eng., University of São Paulo, Faculty of Engineering (Chemical Engineering) Research Interests: Kunioshi’s group applies quantum chemical calculations and kinetic modeling to silicon CVD processes, elucidating pressure-dependent rate coefficients, surface reaction mechanisms, and chlorine elimination pathways. Parallel work in education employs large-scale corpora (OnCAL, JECPRESE) to reveal cultural differences in Japanese vs. American STEM lectures and to support non-native English instructors in EMI contexts. Publication Trends: Recent articles shift from fundamental combustion/PAH studies toward CVD kinetics and English for STEM education, reflecting dual foci on materials chemistry and pedagogical innovation. Grants & Projects: JSPS KAKENHI (B) 2019-2022: “Elucidation of the role of language in science instruction through English and Japanese” JSPS KAKENHI (C) 2021-2024: “Designing novel bone-inducing molecules by an experimental-computational approach” JSPS KAKENHI (B) 2012-2016: Development of OnCAL corpus for EMI support Labs & Teams: He heads a computational-reaction group within the Faculty of Science and Engineering, collaborates with the Yamaguchi and Fuwa laboratories on surface chemistry, and co-leads international corpus projects with partners at Stanford and MIT.

• Combustion chemistry
• Chemical vapor deposition (CVD) kinetics
• Materials chemistry
• +3 more