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Naoki Yoshinaga is a tenured Associate Professor at the Institute of Industrial Science, The University of Tokyo, with extensive experience in natural language processing and computational linguistics. He has held academic positions since 2008 and currently leads research on pragmatic NLP models and multilingual systems. PhD in Computer Science, The University of Tokyo (2005-2008) MSc in Information Science (2000-2002) BSc in Information Science (1996-2000) His research focuses on mechanistic interpretability in NLP models, multilingual/multimodal NLP , and efficient model design using trie structures and conjunctive features. He also investigates knowledge acquisition from social data and evaluation metrics for language generation . Recent publications include work on neuron empirical gradient analysis (ACL-25), multilingual knowledge representation (EACL-24), and compact embedding methods (CoNLL-24). His research has been funded by multiple grants, including the University of Tokyo Excellent Young Researcher program and JSPS fellowships. Committee Special Award, Association for NLP (2023) JSAI SIG Research Award (2022) Best Interactive Award, DEIM Forum (2019, 2016) He developed widely-adopted NLP tools like pecco (fast classification library), RenTAL (LTAG-to-HPSG grammar converter), and J.DepP (Japanese dependency parser). His lab emphasizes strong equivalence in formalism comparisons and pragmatic model design .

• Natural Language Processing
• Computational Linguistics
• Multilingual and Multimodal NLP
• +4 more

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

Randy Fred Appel is an Associate Professor at Waseda University's Global Education Center, with a PhD in Education (Applied Linguistics) from Concordia University. His academic career includes prior roles as Assistant Professor at Waseda University (2017-2021), Research Assistant at Concordia University (2014), and teaching positions at Concordia, Carleton University, and Algonquin College. Education: PhD (2017) and MA (2011) in Applied Linguistics from Concordia and Carleton Universities, respectively. Appel's research focuses on L2 English academic writing, corpus linguistics, formulaic sequences, and L1-related differences. His work examines lexical bundles, linking adverbials, and metadiscourse features in cross-linguistic contexts, with applications in language assessment and pedagogy. Recent projects include analyzing French for Academic Purposes assessments and developing automated measures for lexical sophistication in writing tasks. His publications span journals like English for Specific Purposes , System , and Journal of English for Academic Purposes , with a 2025 paper on interactional metadiscourse in business writing and 2023 studies on linking adverbials across Asian learner groups. He has received significant funding, including a Japan Society for the Promotion of Science Grant-in-Aid for Early-Career Scientists (2020-2022). Scientific Awards: SSHRC Doctoral Fellowship (2014), Concordia Graduate Fellowship (2012), Ontario Graduate Scholarship (2009) Appel has contributed to curriculum development through syllabi for Academic Writing and Discussion in English courses at Waseda's Global Education Center (2025). He actively participates in academic conferences, including the Language Testing Research Colloquium (2022) and Asia TEFL Conference (2019). His service includes peer reviewing for journals like System and International Journal of Business Governance and Ethics .

• Foreign Language Education
• Second Language Acquisition
• Corpus Linguistics
• +3 more

Professor Toshiyasu Ogawa is a distinguished scholar at Waseda University's School of Commerce, where he has served as a full Professor since 2004. An internationally recognized authority on Modern Chinese Literature with particular expertise in Zhou Zuoren studies, Professor Ogawa has established himself as a leading figure in Sino-Japanese literary relations and Chinese language pedagogy. His academic leadership extends across multiple research domains, making significant contributions to both literary scholarship and language education methodology. Professor Ogawa's academic foundation was built entirely at Waseda University, where he earned his Bachelor's degree from the Faculty of Literature followed by a Master of Arts from the Graduate School, Division of Letters. His scholarly trajectory demonstrates remarkable consistency, with research interests evolving from early examinations of Zhou Zuoren's literary theory to increasingly sophisticated analyses of intellectual networks connecting Chinese and Japanese literary figures during the Republican era. Professor Ogawa's research spans two primary but interconnected domains: literary scholarship focused on Zhou Zuoren and Lu Xun (collectively known as the Zhou Brothers), and innovative methodology in Chinese language education. His literary scholarship reveals deep engagement with Zhou Zuoren's intellectual development, particularly examining influences from Havelock Ellis, Shōwa Naoki's New Village Movement, and Japanese literary figures. His language education research demonstrates equal sophistication, developing corpus-based approaches to Chinese vocabulary acquisition and pioneering digital tools for language learning that earned him two Waseda E-Teaching Awards. The trajectory of Professor Ogawa's scholarly publications reveals a methodological evolution toward increasingly nuanced examinations of Zhou Zuoren's intellectual networks, with growing attention to primary source materials and international scholarly collaboration. His work demonstrates rare integration of literary theory, historical contextualization, and digital humanities approaches, particularly evident in his editorial work on Zhou Zuoren's correspondence with Japanese scholars. Professor Ogawa's professional recognition includes: Waseda E-Teaching Award (2021) for innovative mobile learning applications Waseda E-Teaching Award (2013) for on-demand pronunciation resources Leadership roles in multiple academic societies including the Society for Oriental Studies and Japan Society for Sinology Professor Ogawa has secured continuous research funding from the Japan Society for the Promotion of Science, including his current project examining Zhou Zuoren's literary networks (2023-2026). His mentorship extends to numerous graduate students working on Chinese literary studies, though specific advisees are not documented in available materials. His leadership in organizing international symposia, including the world's first International Symposium on Zhou Zuoren at Waseda University in 2018, has created vital platforms for scholarly exchange between Japanese, Chinese, Korean, and Western researchers. As founder of the Zhou Brothers Study Group, Professor Ogawa has cultivated an international scholarly community dedicated to advancing research on Lu Xun and Zhou Zuoren. His ongoing work organizing international conferences, editing scholarly journals, and mentoring emerging researchers continues to shape the field of modern Chinese literary studies across East Asia.

• Chinese Literature
• Modern Chinese Literature
• Computer Assisted Language Learning
• +3 more

Satoru Hayamizu is a Professor at Waseda University 's Green Computing Systems Research Organization , with a career spanning over four decades. His research focuses on Audio-Visual Speech Recognition , Machine Learning , and Medical Informatics , as evidenced by 126 publications and an h-index of 18. Education: The University of Tokyo (PhD in Mechanical Engineering) Prior affiliations: Gifu University (2002-), National Institute of Advanced Industrial Science and Technology (1981-2001) Research Interests include: Audio-visual speech recognition with sparse representation and DNN techniques Development of low-cost CNN-based road condition detection systems Swallowing function evaluation using acoustic and image processing Human behavior analysis for service operation estimation Research Trends reveal consistent work in multimodal signal processing (2006-2024), deep learning applications (2012-2024), and medical diagnostic systems (2006-2017). His publications show integration of sparsity modeling (2012-2021), industrial equipment diagnostics (2018-2021), and social impact technologies (2013-2024). Research Projects funded by Japan Society for the Promotion of Science include: Swallowing timing estimation (2018-2021) Multimodal silent speech recognition (2016-2020) ICT-based piano learning systems (2013-2016) Keyword display mechanisms (2010-2012) Labs & Collaborations include partnerships with Satoshi Tamura (co-author on 12+ papers), Hidekazu Fukai , and Chiyomi Miyajima . His work bridges academic research and industrial applications , particularly in manufacturing AI (2024 book) and Timor-Leste infrastructure monitoring.

• Audio-Visual Speech Recognition
• Machine Learning
• Signal Processing
• +9 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

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

KOBAYASHI Mina is a Professor at the Graduate School of Japanese Applied Linguistics , Faculty of International Research and Education, Waseda University. Her career spans institutions like Hokkaido University and Nagoya University, with a focus on Japanese language education, educational grammar, and learner-centered pedagogy. Education Ph.D. in Japanese Language Education (Nagoya University) Master's in Japanese Language Education (Nagoya University) Bachelor's in Literature (Aoyama Gakuin University) Research Interests Her work emphasizes course and syllabus design , teacher education , and multimodal communication . She explores how learners internalize language rules and the role of technology in writing instruction. Article Trends Her recent publications analyze online teaching methodologies , loanword phonology , and pragmatic approaches to grammar . These often integrate corpus linguistics and pedagogical innovation . Scientific Awards Recipient of the Waseda University Teaching Award twice (2018, 2022) for her contributions to Japanese language education. Teaching & Mentorship She supervises doctoral and master's theses, emphasizing problem-finding skills and research communication . Her lab fosters collaborative environments for student growth. Labs & Teams Leads the Kobayashi Mina Laboratory , focusing on communication-based Japanese education and rule construction in learners . The lab promotes real-world language use and theoretical analysis.

• Japanese Language Education
• Japanese Linguistics
• Course Design
• +6 more

Miki Ikuta is currently serving as an Assistant Professor at the Global Education Center , Waseda University, since April 2024. Previously, she held postdoctoral positions at the University of Windsor (Department of Psychology, 2023) and received JSPS fellowships (PD and DC2) for her work on second language processing. PhD in Humanities from Nagoya University (2020) Master's in Humanities from Nagoya University (2018) Exchange studies at University of the Sunshine Coast (2013-2014) Her research focuses on second language acquisition, metaphor processing mechanisms, and cognitive aspects of bilingualism. Key methodologies include experimental psychology, corpus analysis, and computational modeling. She has published in journals like PLOS ONE and Metaphor and Symbol , while her presentations span international conferences on aphasia, cognitive psychology, and language education. 2025: Selected for Words in the World and JCLA conferences 2024: Presented at Academy of Aphasia annual meeting 2023: Keynote at LET Conference Scientific achievements include: JSPS Grant-in-Aid for metaphor processing research Co-developed mixed-effects models for analyzing language development She teaches foundational English courses at Waseda University, including Tutorial English series across multiple quarters.

• Second Language Acquisition
• Cognitive Psychology
• Metaphor Processing
• +2 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

Keisuke Kadota is an Assistant Professor (non-tenure-track) at the Faculty of Human Sciences, Waseda University , with affiliations to the National Hospital Organization Nishi Saitama Chuo Hospital School of Nursing and National Rehabilitation Center for Persons with Disabilities College since 2022.04. Education : Doctor of Human Sciences, Waseda University (2019-2022) Graduate studies at Waseda University (2017-2019) Bachelor's at Waseda University School of Human Sciences (2014-2017) Research focuses on cognitive science , multimodal communication , and social interaction . Key areas include gesture analysis , spatial reference , and environmental accessibility , with applications in dementia care , music education , and object-transfer dynamics . The 15 most recent articles (2018-2025) examine topics like pointing gestures , object-sharing coordination , and multimodal interaction , spanning Japanese language studies , educational psychology , and assistive technology . Scientific Awards : Encouraging Paper Award, Japanese Cognitive Science Society (2022.09) Grants include JSPS Fellowship (2021-2023), Waseda University Special Research Projects (2020-2021), and Nishi Saitama Hospital collaborations (2022-2023). Teaching covers Basic Seminars , Data Literacy , and Cognitive Psychology at Waseda University and affiliated institutions.

• Cognitive Science
• Interaction Research
• Communication Research
• +2 more

Hideaki Kikuchi is a Professor at Waseda University’s Faculty of Human Sciences, Japan, holding a Ph.D. in Information Science from the same university. He specializes in speech science, spoken dialogue systems, and human-agent interaction, with extensive work on prosody, infant-directed speech, and real-time MRI articulatory analysis. Education: Ph.D. (Information Science), Waseda University Research Interests: His research spans Speech Science , Spoken Dialogue Systems , Human-Agent Interaction , Kansei Informatics , Intelligent Informatics , and Language Acquisition . He investigates empathic dialogue generation, prosodic entrainment, infant speech development, and multimodal communication robots. Publications Trend: Recent articles focus on user empathy toward dialogue systems, linguistic alignment in chat-oriented robots, real-time MRI visualization of articulation, and developmental phonetic studies in Japanese children, indicating a strong emphasis on both technological innovation and cognitive speech science. Awards: Information Processing Society of Japan, 53rd National Convention Excellence Award (1996) Grants & Projects: JSPS KAKENHI "Real-time MRI database of articulatory movements of Japanese" (2020-2024) JSPS KAKENHI "Development of protocol of effective social work interview for older adults with dementia" (2019-2022) VR orality factors project (2017-2020) Labs & Teams: He leads the Speech & Interaction Research Group within Waseda’s Faculty of Human Sciences, collaborating with interdisciplinary members on spoken corpora, dialogue systems, and multimodal interaction experiments.

• Speech Science
• Spoken Dialogue Systems
• Human-Agent / Human-Robot Interaction
• +7 more

Emily Ohman is an Associate Professor at Waseda University's School of International Liberal Studies since April 2025, with additional roles as Title of Docent in Language Technology at the University of Helsinki (2024–) and Visiting/Adjunct Associate Professor at LUT University (2024–2029). Her research bridges Digital Humanities, Computational Linguistics, and Social Science, focusing on emotion detection , sentiment analysis , and machine learning applications across languages like English, Japanese, and Finnish. PhD in Language Technology (University of Helsinki, 2021) MA in English Linguistics (Linnaeus University, 2015) 30 ECTS pedagogy certification (HYPE, 2016) Her scholarly work includes creating foundational tools like the XED multilingual dataset and SELF/FEIL Finnish lexicons , alongside pioneering research on emotion dynamics in literature, politics, and social media. Recent projects explore AI ethics , cross-cultural emotional semantics , and hate speech moderation . Key publications span 15+ years in emotion detection, gamified annotation, and computational literary studies Awarded for pedagogical innovation (Waseda e-Teaching Award, 2023) Active in curriculum development for computational methods in humanities Peer review/editorial roles for Digital Humanities Quarterly , IEEE Transactions on Affective Computing , and conference committees

• Sentiment Analysis
• Emotion Detection
• Digital Humanities
• +10 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