جستجوی استاد راهنمای دانشگاهی

Siya BAO is an Assistant Professor at Waseda University's Faculty of Science and Engineering, focusing on quantum computing applications in combinatorial optimization and geospatial information processing. Currently affiliated with the Green Computing Systems Research Organization, her work bridges theoretical computer science with practical implementations in travel planning, indoor localization, and financial forecasting. Key research interests include: Quantum Computing Geospatial Information Processing Text Mining Based on 15 recent publications, her research trajectory demonstrates: Quantum annealing solutions for multi-day trip planning Machine learning applications in financial time series analysis Advancements in smartphone-based pedestrian dead reckoning Innovations in QUBO model formulation for constrained optimization Scientific recognition includes: DICOMO 2023 Outstanding Paper Award IEEE ICSC 2020 Best Student Opponent 2017 Telecommunications Advancement Foundation Travel Aid Research activities span: Principal investigator for JSPS-funded geospatial optimization projects (2021-2024, 2024-2027) Contributing author to Springer's 'Machine Learning for Indoor Localization and Navigation' (2023) Extensive conference presentation history including IPSJ-ONE 2024 invited talk on quantum computing applications

• Quantum Computing
• Geospatial Information Processing
• Text Mining

Professor Manabu Okumura is affiliated with the Advanced Information Processing Division at Tokyo Institute of Technology, leading the Precision and Intelligence Laboratory. His research focuses on natural language processing (NLP), automated text summarization, and speech dialogue systems, emphasizing real-time, user-friendly interaction. Key areas include incremental language understanding, robustness in ill-formed input analysis, and semi-automatic lexical acquisition. His work addresses challenges like syntactic-semantic integration using case frame analysis, ellipse resolution in Japanese, and associative lexical relations extraction from corpora. Research projects include communication assistive technologies for disabled individuals and natural language-driven animation control. Publications span foundational NLP topics such as word sense disambiguation via semantic networks, zero pronoun resolution using centering theory, and incremental discourse processing. The lab collaborates on bilingual corpus analysis for lexicon development and maintains a focus on practical applications of theoretical advances.

• Natural Language Processing
• Automated Text Summarization
• Computer Assisted Language Learning
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Nobuhiro Inuzuka is a Professor in the Department of Information Engineering within the Faculty of Engineering at Nagoya Institute of Technology, specializing in intelligent informatics and data-driven applications. His research integrates theoretical informatics with practical implementations across diverse domains including social networks, robotics, and human behavior analysis. Education: Doctor of Engineering, Nagoya Institute of Technology Master of Engineering, Nagoya Institute of Technology His research focuses on intelligent informatics with emphases on machine learning for social network analysis, safe reinforcement learning, and data mining applications. Key areas include developing algorithms for community behavior modeling, martial arts evaluation systems using sensor data, and recommender systems incorporating social dynamics. His work bridges theoretical computer science with real-world implementations in counseling systems and robotics. Recent publications (2024) demonstrate consistent innovation in applying machine learning to complex human-centric problems, particularly in social network dynamics, safe robotics navigation, and evaluation systems that replicate human judgment. Trends show increasing integration of multi-relational data mining with reinforcement learning frameworks across retail analytics, sports science, and mental health informatics. Scientific Awards: 2019 JSAI National Conference Excellent Award 2013 IPSJ National Conference Student Encouragement Award 2011-2010 Information Science Workshop Awards (multiple) 1996 Tokai Branch Electrical Societies Encouragement Award Professor Inuzuka has secured significant research funding including a 4-year Grant-in-Aid for Scientific Research (C) on human relationship analysis algorithms (2015-2019) and multiple JST programs for data mining applications. His student advisees have received national recognition including the IPSJ Student Encouragement Award. Current projects focus on scientific methodology development for student counseling and knowledge discovery systems. He leads research within Nagoya Institute of Technology's Creative Engineering-Education Promotion Center, directing teams that develop data analysis systems for social networks, martial arts evaluation, and evacuation planning. His laboratory combines theoretical informatics with practical implementations using multi-relational data mining and machine learning frameworks.

• Intelligent Informatics
• Database Systems
• Theoretical Informatics
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Masashi Toyoda is an Associate Professor at the Institute of Industrial Science, University of Tokyo. He leads the Kitsuregawa and Toyoda Laboratory and is affiliated with the International Research Center for Strategic Information Fusion. His research focuses on web mining, user interfaces, and information visualization. Education: Ph.D. in Computer Science, Tokyo Institute of Technology (1999) M.S. in Computer Science, Tokyo Institute of Technology (1996) B.S. in Computer Science, Tokyo Institute of Technology (1994) His research interests span web mining, user interfaces, information visualization, and visual programming. He has conducted significant work in spatiotemporal web analysis, web spam detection, evolution of web communities, and visualization techniques including zooming interfaces and 3D web graph visualization. Recent publications (2008-2011) demonstrate strong focus on web mining, information visualization, and web security. Research trends include 3D visualization of time-series web data, analysis of blog archives and CGM images, and novel methods for detecting and classifying web spam. The work consistently emphasizes large-scale web data analysis and interactive systems. Scientific Awards: 1st DBSJ Paper Award Winner (2003) FIT Paper Award and Funai Best Paper Award (2002) Best Presentation Award at DEWS2002 Presentation Award at DEWS2000 Best Paper Award at DEIM2011 Conference Excellence Award at IPSJ 72nd National Convention As head of the Toyoda Laboratory at the University of Tokyo, he leads research in web mining, information fusion, and visualization. The lab has developed notable projects including WebRelievo for web structure evolution analysis and KLIEG visual programming environment.

• Web Mining
• User Interfaces
• Information Visualization
• +۴ مورد دیگر

Daisuke Kawahara is a Professor at Waseda University's Faculty of Science and Engineering and a Visiting Professor at the National Institute of Informatics. He holds a PhD in Informatics from Kyoto University (2005) and has previously served as Associate Professor at Kyoto University and Senior Researcher at NICT. His research spans natural language processing, computational linguistics, and AI infrastructure. Education: Ph.D. in Informatics, Kyoto University (2005) Graduate Studies in Intelligent Informatics, Kyoto University (1999–2002) M.Eng. in Electronic & Communication Engineering, Kyoto University (1997–1999) B.Eng. in Electrical Engineering, Kyoto University (1993–1997) Research Focus: Kawahara specializes in NLP, including syntactic parsing, semantic role labeling, language resource development (e.g., JGLUE benchmark), and multilingual corpus construction. His work integrates machine learning with linguistic theory to improve text understanding systems, error correction tools, and dialogue agents. Publication Trends: His recent articles emphasize Japanese and Chinese NLP, neural network-based parsing, and practical applications like educational tools and pandemic information systems. Common themes include benchmarking, corpus annotation, and cross-lingual adaptation. Awards: 情報処理学会 自然言語処理研究会 優秀研究賞 (2025) 言語処理学会最優秀論文賞 (2024, 2023) 科学技術分野の文部科学大臣表彰 (2017) Multiple Best Paper Awards from NLP conferences (2000–2025) Projects & Advising: He leads JSPS-funded projects like Building General Language Understanding Infrastructure (2021–2025) and Acquisition of Knowledge Frames (2018–2021). No student advisees are listed. Labs & Teams: Collaborates with RIKEN Center for Advanced Intelligence Project and maintains ties to Kyoto University's NLP lab. Focuses on large-scale language modeling and collaborative AI-human intelligence frameworks.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۲ مورد دیگر

Toshio Murase is an Associate Professor at the School of Commerce, Waseda University, where he has taught Organizational Behavior and related courses since 2017. His academic journey includes postdoctoral research at Northwestern University's Engineering Department and Georgia Institute of Technology's School of Psychology, followed by an Assistant Professor role at Roosevelt University's Psychology Department. Ph.D. in Industrial Organizational Psychology (2011), University of Central Florida M.S. in Psychology (2006), California State University, San Bernardino M.A. in Psychology with sociology minor (2002), California State University, Stanislaus His research spans Social Psychology , Industrial Organizational Psychology , and Organizational Behavior , focusing on team cognition, multiteam systems, and network analysis. Recent work examines cognitive versatility in hospital teams and cross-functional team dynamics through scale development. Key contributions include pre-publication replication frameworks and behavioral sequence analysis for team processes. He has received multiple awards, including the 2015 NCA Top Paper Award and 2008 UCF Social Sciences Award. 2024–2028: JSPS Grant on Innovation Processes and Prohibitive Voice 2018–2023: JSPS Grant on Shared Cognition and Leadership 2018–2020: Special Research Project on Cognitive Gaps in Organizations As a concurrent researcher at Waseda's Research Institute of Business Administration, he explores leadership mechanisms for inter-departmental collaboration and psychological safety in nursing education.

• Social Psychology
• Industrial and Organizational Psychology
• Organizational Behavior
• +۵ مورد دیگر

Qi Feng is an Assistant Professor at the Faculty of Science and Engineering, Waseda University, specializing in deep learning applications for computer graphics and vision, with a focus on virtual and augmented reality. He holds a Doctor of Engineering (2022), Master of Engineering (2019), and Bachelor of Engineering (2017) from Waseda University. Research Interests: His work spans 3D reconstruction, depth estimation, occlusion handling, and multimodal systems integrating eye tracking and speech recognition. Notable projects include SyncViolinist for audio-driven motion generation and the Depth360 dataset for omnidirectional imaging. Publications: Qi's research has been featured in top conferences like CHI, ISMR, ICCVW, and journals such as The Visual Computer. His articles emphasize practical solutions for immersive environments, language learning, and synchronized audio-visual editing. Contact: Email: fengqi@ruri.waseda.jp

• Deep Learning
• Computer Graphics
• Computer Vision
• +۵ مورد دیگر

Wataru Kameyama is a Professor in the Department of Communications and Computer Engineering at Waseda University’s School of Fundamental Science and Engineering. Since 2014 he has held a full-time faculty position at Waseda; he previously served as Professor at GITS (2002–2014) and Associate Professor at GITI (1999–2002), both within Waseda University. He received his M.E. and Ph.D. in Electronics Engineering from Waseda University in 1987 and 1990 respectively. Education: Ph.D. in Engineering, Waseda University, 1990 M.E. in Electronics Engineering, Waseda University, 1987 B.E. in Electronics Communication Engineering, Waseda University, 1985 Research Interests: Prof. Kameyama’s research spans information communication systems, multimedia information processing, content distribution architectures, Named Data Networking, digital rights management, and high-dimensional data mining. His recent work emphasizes proactive content-caching for mobile video, producer mobility in NDN, and outlier-detection algorithms for large-scale datasets. Publications Trend: Across 85 peer-reviewed papers (h-index 9) his recent articles focus on next-generation networking (NDN, ICN), mobile multimedia delivery using transportation infrastructure, and data-mining techniques for high-dimensional outliers, often validated through large-scale field experiments. Awards & Honors: International Cooperation Award, ITU Association of Japan (2012) IEEE/IEICE Distinguished & Outstanding Contribution Awards (2009, 2007) Best Author/Best Paper Awards, Institute of Image Information and Television Engineers (2009, 2006) Professional Memberships: ACM, IEEE, Institute of Image Electronics Engineers of Japan, Information Processing Society of Japan, Institute of Electronics, Information and Communication Engineers, Institute of Image Information and Television Engineers.

• Information Communication Systems
• Multimedia Information Processing
• Content Distribution Systems
• +۴ مورد دیگر

Ralph Leon Rose is an Associate Professor at Waseda University's Faculty of Science and Engineering, specializing in computational linguistics and second language acquisition. Holding a Ph.D. in Linguistics from Northwestern University (2005), his career spans over 30 years in language education across Japanese institutions including Gunma Prefectural Women's University and Notre Dame Seishin Women's Junior College. His research focuses on hesitation phenomena , speech fluency measurement , and computer-assisted language learning . Recent work analyzes filled pauses across languages, develops AI-powered vocabulary assessment tools (VocQGen), and investigates ethical implications of disfluencies in AI speech. His publications reveal consistent exploration of how temporal speech variables affect second language perception and production. AY2018 e-Teaching Award from Waseda University Cognitive Science Fellow at Northwestern University Rose leads multiple research projects including Automatic generation of vocabulary quiz items and Modeling speech fluency for e-learning . His lab develops practical tools like Fluidity (real-time fluency feedback), JESPR (self-paced reading tasks), and the Crosslinguistic Corpus of Hesitation Phenomena . As an active member of ISCA, IEEE, and EUROCALL, he contributes to shaping ethical standards in AI speech applications while maintaining strong industry connections through regular media appearances and conference keynotes.

• Computational linguistics
• Hesitation phenomena
• Fluency
• +۵ مورد دیگر

Miyuki Sasaki is a Professor at Nagoya City University's Faculty of Education and Integrated Arts and Sciences, School of Education, specializing in second language writing, language assessment, and the effects of study abroad experiences. With a PhD in Applied Linguistics from UCLA and extensive research experience, she has made significant contributions to understanding L2 writing development and assessment. Educational Background: PhD in Applied Linguistics, University of California, Los Angeles MA in English Education, Hiroshima University BA in English Education, Hiroshima University Additional studies at Georgetown University in Teaching English as a Second Language Professor Sasaki's research focuses on the longitudinal development of second-language writing ability, the effects of raters' values and belief systems on composition evaluations, and sociocultural factors affecting L2 writers' motivation. Her work takes an ecological-historical approach to understanding multilingual writing development, examining how learners' experiences across different languages and contexts interact to shape their writing abilities. Recent research has increasingly incorporated technology, exploring AI tools like ChatGPT in writing assessment and the impact of machine translation on writing instruction. Her publication trends show a consistent focus on longitudinal studies of writing development, with increasing attention to technology-mediated language learning and assessment. The research demonstrates a progression from examining individual writing processes to investigating broader sociocultural and technological influences on L2 writing. Recent work has particularly emphasized the ecological context of writing development and the intersection of writing with other language skills. Scientific Awards: Special Grant for the Promotion of Research (2019) Nagoya City University Highest Ranked Paper Award (2018) Abe Fellowship for international research (2016) UCLA Nida Award for best qualifying paper (1990) Rotary International Foundation scholarship (1984) Ministry of Education scholarship for University of Michigan (1980) Professor Sasaki has served on numerous editorial boards including the Journal of Second Language Writing, Language Testing, and TESOL Quarterly. She has coordinated AAAL conference strands and served on TOEFL and TOEIC technical panels. Her research projects have been consistently funded by Japanese academic institutions, with current work examining third-language study abroad effects and multilingual writing development. She teaches courses in second language writing, applied linguistics, and English communication, mentoring the next generation of language education researchers.

• Second Language Writing
• Language Assessment
• Study Abroad Effects
• +۳ مورد دیگر