جستجوی استاد راهنمای دانشگاهی

Naoki Yoshinagaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Computational Linguistics
• Multilingual and Multimodal NLP
• +۴ مورد دیگر

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 .

• Information Security
• Privacy
• Autonomous Driving
• +۵ مورد دیگر

Dr. Tatsuya Mori is a Professor at the Department of Computer Science and Communication Engineering , Faculty of Science and Engineering, Waseda University . He also holds visiting researcher positions at RIKEN Center for Advanced Intelligence Project (since 2018) and National Institute of Information and Communications Technology (since 2019). Education: Ph.D. in Information Science (2005), Waseda University Research Interests: Spanning information security and privacy across emerging technologies like autonomous driving , AI , 3D sensing , VR , biometric measurement , and Web3 . His work focuses on offensive security and interdisciplinary research , including physical-layer attacks on sensors and behavioral studies on phishing detection. Scientific Awards: Recipient of multiple prestigious awards, including the Distinguished Paper Award Runners-Up at IEEE EuroS&P 2024 , IPSJ Outstanding Paper Award 2024 , and CSS2024 Concept Research Prize . His research has been recognized in top conferences like USENIX Security , NDSS , and ACM CCS . Professional Leadership: Active in academic governance as Chief Investigator for NISC Working Groups and Committee Member for JST Research Areas . He serves on program committees for NDSS , IMC , and ACM CCS .

• Data science
• Machine learning
• Business analytics
• +۱۰ مورد دیگر

Masayuki Goto is a Professor in the Department of Industrial Systems Engineering, School of Creative Science and Engineering at Waseda University, Japan, where he has served since 2011. He earned his Doctor of Engineering from Waseda University and leads research integrating statistical science, machine learning, information theory and management engineering to solve business-analytics, marketing, AI ethics and industrial optimisation problems. Education: Doctor of Engineering, Waseda University Research Interests: His work spans data science, machine learning, business analytics, statistical learning theory, generative AI, deep neural networks, natural language processing, network analysis and information theory, with recent emphasis on trustworthy AI and synthetic data generation. Publication Trends: Over 2024-2025 his group has published extensively on deep learning for tabular data, vision-language models, recommender systems, causal inference and ethical AI, demonstrating a shift toward generative-AI-driven business analytics and interpretable models. Scientific Awards: Best Paper Award, CIE51 2024 Outstanding Paper Award, APIEMS 2023 Best Paper Award, APIEMS 2022 Best Paper Award, 20th ANQ Congress 2022 2022 PC Conference Best Paper Award Best Paper Award, JASMIN 2021 Best Paper Award, 19th ANQ Congress 2021 Encouragement Award, AAMSA 2021 IDR User Forum 2020 Enterprise & DBSJ Special Awards Best Paper Award, APIEMS 2019 Best Paper Award, ANQ Congress 2018 World CIST'18 Best Paper Award Best Paper Award, ANQ Congress 2017 JSPS Grant Review Commendation 2016 JIMA Distinguished Research Award 2015 Best Paper Award, Journal of JIMA 2015 IPSJ National Convention Best Paper Awards (2015 & 2012) Advising & Grants: He has mentored a large cohort of graduate students evidenced by co-authorship on over 100 recent papers. He has served as PI on numerous JSPS KAKENHI grants and industry projects focused on data-driven management, AI marketing and ethical AI frameworks. Labs & Teams: He heads the Goto Laboratory within the Waseda Institute for Advanced Study, leading interdisciplinary projects on business AI, data-ethics education and industrial optimisation.

• Homomorphic Encryption
• Big Data Analysis
• Database Systems
• +۶ مورد دیگر

Hayato Yamana serves as Professor at Waseda University's Faculty of Science and Engineering and concurrently holds the position of Vice President for IT Promotion and Chief Information Officer since October 2020. His academic journey began with a Dr. Eng. degree from Waseda University in 1993, followed by positions at the Electrotechnical Laboratory of MITI, before joining Waseda University as Associate Professor in 2000 and becoming full Professor in 2005. He has held significant leadership roles including Director of the Database Society of Japan and the Information Processing Society of Japan, as well as Vice Chair of IEICE's Information and Communication Society. Waseda University, Faculty of Science and Engineering (2005-Present) National Institute of Informatics, Visiting Professor (2005-Present) Waseda University, Vice President for IT Promotion (2020-Present) Deputy Chief Information Officer (2015-2020) His research spans homomorphic encryption, big data analysis, and computer architecture, with notable contributions in privacy-preserving computation, recommender systems, and secure data processing. His work bridges theoretical cryptography with practical applications in smart cities, healthcare, and e-commerce security. Recent publications demonstrate strong focus on accelerating homomorphic encryption operations, improving recommendation system diversity, and developing novel authentication mechanisms. Analysis of his 15 most recent publications reveals consistent emphasis on privacy-preserving technologies (particularly homomorphic encryption applications), innovative recommender system architectures, and biometric security solutions. His research group produces highly cited work at the intersection of cryptography, machine learning, and systems security, with practical implementations in real-world scenarios including smart grids, e-commerce, and healthcare. Fellow, Information Processing Society of Japan (IPSJ), 2020 Golden Core Award, IEEE Computer Society, 2018 Fellow, Institute of Electronics, Information and Communication Engineers (IEICE), 2018 IBM Faculty Award, 2009 Multiple Best Paper Awards from IEICE, IPSJ, and ITE Yamana has secured substantial research funding for projects in homomorphic encryption, smart city infrastructure, and privacy-preserving systems. His leadership extends to advising numerous doctoral students and directing major research initiatives including the Smart Systems and Services Innovative Professional Education Program. He maintains active collaborations with industry partners through projects involving secure computation and data analytics. His research group operates at the forefront of secure computing, with specialized laboratories focused on homomorphic encryption acceleration, privacy-preserving machine learning, and secure mobile authentication. The team actively develops practical implementations of cryptographic protocols for real-world applications in healthcare, finance, and smart city infrastructure, bridging theoretical cryptography with deployable security solutions.

• Neural Networks
• Genetic Algorithms
• System Identification and Control
• +۷ مورد دیگر

FURUZUKI, Takayuki is a Professor at Waseda University's Faculty of Science and Engineering, Graduate School of Information, Production, and Systems. He holds a PhD from Kyushu Institute of Technology and maintains the NCLab research group (http://nclab.w.waseda.jp/nclab/). His professional memberships include the Institute of Electronics, Information and Communication Engineers, Institute of Electrical Engineers of Japan, Society of Instrument and Control Engineers, and IEEE. His educational background includes a PhD in Information Science from Kyushu Institute of Technology (1994-1997), a Master's degree in Electronics Engineering from Sun Yat-Sen University (1983-1986), and a Bachelor's degree in Electrical & Electronic Systems Engineering from Sun Yat-Sen University (1979-1983). Professor FURUZUKI's research spans neural networks, genetic algorithms, system identification and control, complex systems, bioinformatics, and combinatorial optimization. His work integrates soft computing techniques with medical informatics and control systems engineering, developing innovative approaches for problems ranging from brain tumor segmentation to music information retrieval. His research methodology often combines theoretical foundations with practical applications in healthcare, energy systems, and intelligent transportation. His recent publication record shows a strong focus on sequential recommendation systems, graph neural networks for medical imaging, music information retrieval, and power systems analysis. The consistent thread across his work is the application of advanced machine learning techniques to solve complex, real-world problems across diverse domains, with particular emphasis on handling missing data, improving model efficiency, and enhancing prediction accuracy. His scientific achievements have been recognized with several prestigious awards: ISCIIA2008 Excellent Paper Award (2008) Institute of Electrical Engineers of Japan Excellent Paper Award (2001) Guangdong Province Higher Education Science and Technology Progress Second Prize (1991) Guangdong Province Higher Education Science and Technology Progress Second Prize (1989) Chinese Ministry of Education Scientific and Technological Achievements Second Prize (1986) Professor FURUZUKI has maintained continuous research activity since joining Waseda University in 2003, with significant contributions to multiple research projects spanning neural computation, soft computing, and system engineering. His work demonstrates strong international collaboration, with publications involving researchers from various institutions worldwide. His research output includes over 410 papers with 3,623 citations and an h-index of 23 according to Scopus data. The NCLab research group, which he leads, focuses on neural computation and related areas, providing a platform for interdisciplinary research that bridges theoretical foundations with practical applications in healthcare, energy systems, and intelligent transportation. His laboratory environment fosters innovation in machine learning algorithms and their application to real-world problems, with particular emphasis on developing efficient, robust solutions for complex data analysis tasks.

• Information Access
• Information Retrieval
• Natural Language Processing
• +۳ مورد دیگر

Tetsuya Sakai is a Professor at the School of Fundamental Science and Engineering within Waseda University's Faculty of Science and Engineering. His work focuses on information access, retrieval, and natural language processing, with a particular emphasis on evaluation frameworks for search systems. Affiliations: Waseda University (Faculty of Science and Engineering, School of Fundamental Science and Engineering) Academic Rank: Professor Research Interests : Dr. Sakai's research spans four key areas: (1) Information Access —designing systems for direct and immediate information delivery, (2) Search Evaluation —developing metrics like Height-Biased Gain and hierarchical intent-based diversity measures, (3) Fairness in IR —pioneering frameworks for group fairness in conversational search, and (4) Statistical Reform —advocating Bayesian methods and robust experimental design. His work also addresses privacy inconsistencies in mobile apps and cognitive biases in LLMs. Scientific Awards : Notable recognitions include induction into the SIGIR Academy (2023) , ACM Distinguished Member (2018) , ACM Senior Member (2016) , and multiple DEIM/FIT/CSS Best Paper Awards . He has received teaching honors like the Waseda Presidential Teaching Award (2016) and WASEDA e-Teaching Award (2018) . Article Trends : Recent publications highlight: Advancements in LLM-assisted relevance assessments and hallucination diagnostics for tool-augmented models Conversational search fairness through multi-level evaluation frameworks and group diversity metrics Innovations in 3D medical reconstruction from clinical data and multimodal uncertainty modeling Statistical rigor via randomization tests , credible intervals , and topic set design Privacy analysis in mobile app descriptions and cognitive bias studies in search interaction

• Thermal Engineering
• Electrified Vehicles (xEVs)
• Computational Fluid Dynamics (CFD)
• +۴ مورد دیگر

Ratnak SOK is an Associate Professor at Waseda University, specializing in thermal engineering, electrified vehicles, and internal combustion engine research. His work spans transportation electrification , CFD modeling , waste heat recovery , and low-carbon/e-fuel ICEs with aftertreatment systems. Doctor of Engineering (2015, Waseda University) MSME (2011, Institut Teknologi Bandung) Diplôme d'Ingénieur (2009, Institut de Technologie du Cambodge) DUT (2006, Institut de Technologie du Cambodge) His research focuses on xEV thermal management , internal combustion engine efficiency , and thermoelectric waste heat recovery , supported by 44 peer-reviewed papers and 340 Scopus citations. Recent work integrates machine learning and CFD simulations for combustion control and battery modeling. Scientific accolades include: Young Investigator Award (2025 Japan Society of Automotive Engineers) SAE International Journal editorial board member Chair, 2025 ASME Rail Transportation Symposium His academic leadership extends to organizing technical sessions at IEEE, SAE, and FISITA conferences.

• Corpus Linguistics
• Educational Technology
• Natural Language Processing
• +۵ مورد دیگر

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.

Tomoaki Haraمشاهده پروفایل

استاد

• Cultural Anthropology
• Folklore
• Cultural Sustainability
• +۵ مورد دیگر

Professor Tomoaki Hara works at the Faculty of Human Sciences, School of Human Sciences at Waseda University. His research spans cultural anthropology and folklore, with a focus on cultural sustainability, community development, and the interplay between media and identity. Education: PhD (Literature), Waseda University (2003) Master's and Bachelor's in Letters, Arts and Sciences, Waseda University Research Interests include: Cultural Sustainability Symbiotic Development Media Anthropology Postcolonial Studies in Okinawa and Hawaii Community-based Cultural Policies His article trends show expertise in analyzing cultural identity through historical and contemporary lenses, addressing military base impacts, multicultural policies, and digital ethnography. Awards include the 2009 Fulbright Scholarship. He leads the Hara Laboratory , which emphasizes ethnography, comparative research, and interdisciplinary approaches to sustainable development.

• Educational Technology
• Classroom Evaluation
• Media Teaching Materials Analysis
• +۳ مورد دیگر

Professor Tadao MIO is a distinguished faculty member at Waseda University's Faculty of Education and Integrated Arts and Sciences and Graduate School of Education. With extensive experience in educational technology, he has made significant contributions to classroom evaluation methodologies, media teaching materials analysis, and information education. His professional journey spans multiple academic institutions and research initiatives focused on improving educational practices. Professor MIO's educational background includes: Master of Education from Naruto University of Education Graduate studies in School Education at Naruto University of Education (1988) Bachelor's degree in Education from Kyoto University of Education (1986) Professor MIO's research interests center on practical applications of educational technology in classroom settings. His work examines how to effectively implement active learning methodologies, evaluate teaching effectiveness, and integrate technology into educational practices. He has particularly focused on programming education for non-technical students and addressing the challenges educators face when implementing new teaching approaches. His research bridges theoretical frameworks with practical classroom applications, emphasizing sustainable teaching improvement. Professor MIO's publication record shows a clear progression toward addressing contemporary educational challenges, particularly in programming education and active learning implementation. His recent work demonstrates how classroom evaluation can inform teaching improvement and how educational technologies can be effectively integrated across different educational levels from early childhood through university education. His notable achievements include: WASEDA e-Teaching Award (2015) Japan Society for Educational Technology Paper Award (1998) Professor MIO has successfully led multiple research projects funded by the Japan Society for the Promotion of Science, focusing on sustainable active learning classrooms and methods for evaluating teaching effectiveness. His grant work emphasizes practical applications that can be implemented by university faculty to improve student learning outcomes. He has mentored numerous students who have contributed to educational technology research, particularly in programming education and classroom evaluation methods. Professor MIO actively participates in research teams developing new methodologies for classroom improvement and educational technology implementation. His current work focuses on connecting active learning experiences across educational levels to create more cohesive learning pathways for students, with particular attention to how early educational experiences shape later learning in technology-related fields.

Toshiyasu Ogawaمشاهده پروفایل

استاد

• Chinese Literature
• Modern Chinese Literature
• Computer Assisted Language Learning
• +۳ مورد دیگر

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.

• Educational technology
• Science education
• e-learning
• +۴ مورد دیگر

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
• Information and communication technology
• Intercultural communication
• +۲ مورد دیگر

Douglass Scott is a Professor at Waseda University's School of Human Sciences in Tokyo, Japan, where he has made significant contributions to educational technology and intercultural communication research. His academic career spans over two decades with a particular focus on digital communication patterns, emotional expression in mobile media, and online education systems. He is closely associated with Waseda University's e-School, Japan's first complete undergraduate online degree program established in 2003. Dr. Scott earned his PhD in 1997 from the University of Michigan's School of Education with a specialization in Educational Foundations and Policy and Educational Technology. He also holds an MA in East Asian Studies (Japan) from the University of Michigan (1987) and a BS in Political Science from the University of Oregon (1985). His educational background includes a period at Waseda University's International Division during 1983-1984. His research primarily focuses on educational technology, information and communication technology, and intercultural communication, with special attention to how emotions are transmitted through digital channels. His work often compares Japanese and American communication patterns, particularly examining gender differences and cultural variations in mobile phone email usage. He has documented the development and implementation of Waseda University's pioneering e-School program across multiple publications. Analysis of his publication record reveals consistent scholarly contributions examining emotional expression in digital communication, with particular emphasis on how gender and cultural background influence emotional transmission through mobile devices. His research shows a clear trajectory from foundational work on educational telecommunications models to applied research on specific communication technologies in educational contexts. Dr. Scott maintains active research projects including comparative studies of mobile telephone use across countries and investigations into the role of social networks in cultural adjustment of exchange students. His work has been supported by Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research. As an educator, he teaches across multiple programs at Waseda University including the Graduate School of Human Sciences and the School of Human Sciences Online Degree Program. His teaching portfolio encompasses Information and Communication Technology courses, Academic Writing, Intercultural Communication, and English language instruction.

• Data Mining
• Machine Learning
• Information Theory
• +۴ مورد دیگر

Manabu Kobayashi is a Professor at the Center for Data Science of Waseda University, with previous faculty roles at Shonan Institute of Technology (1998-2014). His research spans data mining, machine learning, and information theory, with a focus on applications in document classification, ECOC frameworks, and latent structural models. Current Affiliation: Waseda University (2018-present) Previous: Shonan Institute of Technology (2002-2014) Research Interests: Specializes in distance metric learning, latent class modeling, and fault diagnosis systems using probabilistic frameworks. Key areas include: ECOC (Error-Correcting Output Codes) optimization Collaborative filtering for recommendation systems Reconfigurable logic circuits using DG-CNTFETs Privacy-preserving distributed linear regression Scientific Awards: PC Conference Best Paper Award (2025) World CIST'18 Best Paper Award IEICE Achievement Award (2017) 74th Information Processing Society of Japan Conference Excellence Award (2012) Article Trends: Recent work focuses on latent structure analysis for relational data (2025), ECOC performance with noisy classifiers (2023), and flipped classroom effectiveness through log-based grouping (2022-2025). Earlier contributions include reconfigurable logic circuits (2013-2014) and probabilistic fault diagnosis (2011-2012).

• English literature
• Shakespeare Studies
• Early Modern Drama
• +۴ مورد دیگر

Yu Umemiya is an Associate Professor at Waseda University's School of Humanities and Social Sciences, specializing in English literature with a focus on Shakespeare, textual studies, and intercultural adaptation. He holds degrees from Waseda University (BA, MA, PhD) and the University of Birmingham (MA in Shakespeare Studies). Current positions: Associate Professor (2025-present) Past roles: Part-time Lecturer at multiple Japanese universities His research explores Shakespeare's works through textual analysis, adaptation studies, and performance theory. He examines how translations and cross-cultural interpretations reshape dramatic elements, particularly in Macbeth and The Tempest . Key publication trends include: Early Modern drama textual evolution Censorship mechanisms in Elizabethan theater Intercultural translation strategies Performance pedagogy innovations Professional engagements: Executive Committee member of The Japan Society of English Usage and Style Editorial committee roles Member of British Shakespeare Association