جستجوی استاد راهنمای دانشگاهی

• Perceptual information processing
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Hiroshi Ishikawa is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering. He also serves as a Visiting Professor at the National Institute of Informatics since 2016. Previously, he held positions at Nagoya City University from 2004-2010 as Assistant Professor, Associate Professor, and Professor. His academic journey includes being a JST PRESTO Researcher from 2009-2013 and an Associate Research Scientist at New York University's Courant Institute of Mathematical Sciences from 2000-2001. Ph.D. in Computer Science, New York University (2000) Master of Science, Kyoto University Bachelor's degree in Mathematics, Kyoto University Faculty of Science (1991) Hiroshi Ishikawa's research spans perceptual information processing, computer vision, artificial intelligence, deep learning, and discrete optimization. His work focuses on developing algorithms for image restoration, segmentation, and understanding, with significant contributions to energy minimization techniques in computer vision. He has pioneered approaches in sketch simplification, medical image segmentation, and higher-order graph cuts. His research bridges theoretical advances in mathematical optimization with practical applications in medical imaging, computer graphics, and consumer electronics. Ishikawa's recent publications demonstrate a strong focus on leveraging deep learning for image enhancement and understanding. His work spans super-resolution techniques, colorization methods, human avatar generation, and medical image analysis. A notable trend is the increasing integration of attention mechanisms and generative models to solve complex vision problems, with growing emphasis on real-world applications in medical imaging and computer graphics. His research group consistently produces high-impact work that appears in top-tier computer vision conferences. 75th Annual IEICE Best Paper Award (2019) Innovative Technologies 2016 Special Prize for Culture (Ministry of Economy, Trade and Industry) MIRU Nagao Award (Best Paper Award) (2009) Young Author Award (IEEE Computer Society Japan Chapter, 2006) MIRU2006 Excellent Paper Award (2006) Harold Grad Memorial Prize (Courant Institute of Mathematical Sciences, NYU, 2000) As a professor at Waseda University, Ishikawa has mentored numerous students who have become active researchers in computer vision, including Yuya Masuda, Edgar Simo-Serra, and Satoshi Iizuka. His research has been supported by various grants, including JST PRESTO funding from 2009-2013. He has served on editorial boards for prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and has held leadership roles in major computer vision conferences such as ICCV, CVPR, and ACCV. Ishikawa leads a vibrant research group at Waseda University focused on computer vision and image processing. His laboratory collaborates extensively with researchers at Nagoya City University, National Institute of Informatics, and international institutions. The group maintains strong connections with industry partners, particularly in medical imaging and consumer electronics sectors, translating theoretical advances into practical applications.

• Multimedia Signal Processing
• Computer Networks
• Communication Engineering
• +۳ مورد دیگر

Jiro Katto is a Professor at Waseda University's School of Fundamental Science and Engineering, where he has been conducting research and teaching since 1999. He received his Ph.D. from the University of Tokyo and has established himself as a leading researcher in multimedia signal processing and computer networks. His academic journey includes positions as Associate Professor (1999-2004), Professor (2004-present), and Director at NEDO (2004-2008), along with research experience at NEC C&C Laboratories (1992-1999) and a Visiting Scholar position at Princeton University (1996-1997). Professor Katto's research interests focus on Multimedia Signal Processing and Computer Networks, with particular expertise in video compression, 5G network performance, and learned image compression techniques. His work bridges theoretical advancements with practical implementations, as evidenced by his extensive publications in top-tier conferences and journals. His research group has made significant contributions to point cloud compression, latency compensation in remote systems, and hardware-accelerated video encoding for UHD streaming. His publication record is impressive, with 276 papers cited 3,323 times in Scopus and 6,169 times in Google Scholar, reflecting his substantial impact in the field. His recent work shows a strong trend toward applying deep learning techniques to traditional signal processing problems, particularly in the areas of image and video compression, where his team has developed novel approaches to improve compression efficiency while reducing computational complexity. Electric Telecommunications Promotion Foundation Telecommunications System Technology Award (2023) Takayanagi Kenjiro Foundation Takayanagi Kenjiro Achievement Award (2020) Institute of Image Information and Television Engineers Fellow (2020) Institute of Electronics, Information and Communication Engineers Fellow (2015) IEICE Communications Society Activity Contribution Award (2006) IEICE Academic Encouragement Award (1995) SPIE VCIP 1991, Best Student Paper Award (1991) Professor Katto has served on numerous prestigious committees including IEEE ComSoC Tech News Editorial Board, IEEE Technical Program Committees for major conferences (Globecom, ICC, ICIP), and editorial boards for several academic journals. His leadership in the academic community extends to chairing conferences like IWAIT 2011 and serving as Editor-in-Chief for journals in his field. His research has practical applications in commercial 5G networks, video streaming services, and remote monitoring systems, demonstrating the real-world impact of his work.

• Japanese Applied Linguistics
• Second Language Acquisition
• Language Education Policy
• +۷ مورد دیگر

Satoshi Miyazaki is a Professor at Waseda University's Graduate School of Japanese Applied Linguistics and affiliated with the Faculty of International Research and Education . With a Ph.D. from Monash University, his work bridges Japanese language education, second language acquisition, and cross-cultural communication. Education Background: Doctor of Philosophy (Japanese Applied Linguistics) - Monash University (1997) Graduate School of Japanese Applied Linguistics - Waseda University (1982) Research Interests focus on Japanese language pedagogy, natural acquisition mechanisms, and interactional strategies for non-native learners. His innovative use of Eye Mark Recorders (EMR) and Event-Related Potentials (ERP) has advanced understanding of cognitive processes in language learning. Recent Articles (2011-2001) reveal trends in Japanese language education reform, cross-cultural learning challenges, and technology-enhanced teaching methods. Key themes include correctional language programs for foreign inmates, immersion environments, and brain processing studies using advanced neuro-linguistic techniques. Research Projects have received continuous funding from Japan Society for the Promotion of Science, including prison language education programs, foreign care worker competence frameworks, and EMR-based lecture comprehension analysis. His work extends to international collaborations with institutions in Australia, the U.S., and Europe.

Masatoshi Okutomiمشاهده پروفایل

استاد

• Medical Imaging
• Computer Vision
• Deep Learning
• +۵ مورد دیگر

Professor Masatoshi Okutomi is affiliated with the Department of Systems and Control Engineering at the School of Engineering, Institute of Science Tokyo. His research focuses on advanced medical imaging techniques, particularly in endoscopy and 3D reconstruction, leveraging deep learning and neural networks. Key interests include virtual chromoendoscopy for cancer detection, image restoration, and stereo matching under challenging conditions. His work bridges computer vision and healthcare, addressing real-world applications such as MRI reconstruction and foggy stereo matching. Notable contributions include developing lightweight medical segmentation networks for edge devices and advancing neural radiance fields (NeRF) for novel view synthesis. His research spans diverse domains: from improving video quality assessment to enhancing object detection in high-dynamic-range images. Collaborative projects emphasize practical solutions for medical diagnostics and robust image processing in adverse environments. Recent articles highlight advancements in temporally-consistent video restoration, few-shot view synthesis, and degraded image classification using knowledge distillation. These innovations underscore his commitment to pushing boundaries in both theoretical computer vision and applied medical technology.

• Human–robot interaction
• Spoken language processing
• Image and audio processing
• +۳ مورد دیگر

Tetsunori Kobayashi is a Professor in the School of Fundamental Science and Engineering at Waseda University, Japan, where he has served since 1997. He is renowned for pioneering research in human–robot interaction, spoken language processing, and multimodal conversational systems, leading to over 230 refereed papers and an h-index of 35 (Google Scholar). Education: 1980 B.Eng. in Electrical Engineering, Waseda University 1982 M.Eng. and 1985 Dr.Eng. from Graduate School of Science and Engineering, Waseda University Research Interests: His work spans intelligent robotics , perceptual information processing , pattern recognition , image and audio processing , and conversational AI . He develops algorithms for real-time dialogue systems, multi-party conversation facilitation robots, and non-autoregressive speech recognition leveraging CTC and pre-trained language models. Recent Publication Trends: Since 2020 his group has advanced non-autoregressive end-to-end ASR (Mask-CTC, Intermpl, BECTRA), noise-robust attention , multi-look-ahead conversational ASR , and neural speaker diarization . They integrate BERT-style pre-training with CTC losses to accelerate inference while maintaining accuracy. Parallel work explores vision-and-language topics such as scene-graph generation, video semantic indexing, and personalized summarization for spoken news delivery. Scientific Awards: IEICE Fellow 2023 – for multi-modal multi-party conversation research IPSJ Fellow 2016 – for pioneering robot conversation studies JST Award for Academic Start-ups 2024 Best Paper Awards from IEICE, IEEE BTAS, ACM SIGGRAPH VRCAI, and several IPSJ workshop prizes Advising & Grants: He has mentored dozens of PhD and Master’s students who now lead in academia and industry. Major funded projects include JST CREST on conversational robotics, NEDO and JST-support for AI-based speech interfaces, and industry collaborations with NHK, OKI, and NEC. Labs & Teams: Kobayashi heads the Perceptual Computing Laboratory at Waseda, conducting interdisciplinary research with domestic and international partners such as MIT, ATR, and NHK Science & Technology Labs.

• Architectural Planning
• City Planning
• Spatial Planning
• +۵ مورد دیگر

Dr. Haruhiko Goto is a Professor at Waseda University's School of Creative Science and Engineering, Department of Architecture. With a career spanning over four decades, he has served in multiple leadership roles including Executive Vice President and Vice President at Waseda University, and as President of The City Planning Institute of Japan. His work focuses on Urban Design , Regional Development , and Community Engagement through architectural and planning lenses. Education: PhD, MA, and BA in Architecture from Waseda University His research systematically examines environmental cognition and subjective well-being in urban contexts, analyzing how spatial experiences affect social dynamics. Recent studies investigate defensive architecture in public spaces, urban redevelopment of shrines , and post-disaster community reconstruction . His publications demonstrate strong integration between urban environmental psychology and place-based social systems . With over 14 refereed publications and 11 citations, his work addresses contemporary urban challenges including social isolation , work-life design , and cultural landscape preservation . As a leader in his field, he has received multiple planning design awards and contributed to national urban policy discussions. Scientific Awards: City Planning Institute of Japan's 60th Anniversary Commemorative Project Awards (2011) Minister of Land Infrastructure's Land Use Model Award (2010) Good Design Award (2010) Japan Institute of Architects Award (2005) As an academic leader, he has chaired numerous professional organizations including The World Society for Ekistics and The Japan Society of Lifology , and contributed to policy development through committee memberships in Japan Academic Council and Urban Planning Institute of Japan .

• Mathematical Logic
• Computer Science
• Proof Theory
• +۵ مورد دیگر

Kazushige Terui is an Associate Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University. His research focuses on mathematical logic and its applications to computer science, particularly proof theory, computational complexity, and nonclassical logics. He investigates proof normalization complexity, algebraic reformulations of proof-theoretic techniques, and logical foundations of computation. Terui maintains an active research group at RIMS and teaches courses including Mathematical Logic and Computer Science Fundamentals. Research Interests: Terui's work spans: Proof-theoretic aspects of nonclassical logics (linear logic, substructural logics) Computational complexity of proof normalization in lambda calculus Algebraic reformulation of logical techniques (cut-elimination, interpolation) Denotational semantics approaches to complexity characterization Effective proof discovery methods based on programming language theory Publications: His recent articles primarily explore proof theory, computational complexity, and logical foundations, with frequent focus on lambda calculus, linear logic, and type systems. Works frequently bridge theoretical computer science and mathematical logic. Education & Outreach: Authored the book Can Computers Become Mathematicians? (2015) for general audiences and maintains extensive lecture materials on mathematical logic and computer science foundations.

• Early Analytic Philosophy
• Philosophy of Logic
• Philosophy of Mathematics
• +۳ مورد دیگر

Ryo Ito is an Associate Professor at Waseda University's Faculty of Letters, Arts and Sciences. His research focuses on early analytic philosophy, philosophy of logic, and inferentialism, with a particular emphasis on Bertrand Russell's work. He holds a PhD from the University of St Andrews and Stirling University, awarded in 2017, and previously served as a JSPS Research Fellow at Keio University (2019-2021). Education: PhD in Philosophy (2017) from University of St Andrews & Stirling University; Master's (2011) and Bachelor's (2009) from Kyoto University. Ryo's research explores the intersection of logic, metaphysics, and educational philosophy. His work addresses conceptual challenges in mathematics education through inferentialism, the historiography of philosophy, and Russell's metaphysical conception of logic. He has presented extensively on topics such as rule-following paradoxes, logical coordinates, and the role of variables in philosophical discourse. Scientific Awards: Ishimoto Award (2023, Philosophy of Science Society, Japan) Encouragement Award (2019, Japan Association for Philosophy of Science) Ryo actively participates in interdisciplinary research projects funded by JSPS, including studies on type theory, free will, and rule-based reasoning. His teaching spans seminars on Anglo-American philosophy, history of Western thought, and graduate-level research guidance.

• Computer Architecture
• Parallel Computing
• Compiler Technology
• +۳ مورد دیگر

Keiji Kimura is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering. He earned his Doctor of Engineering from Waseda University and has held academic positions at the university since 1999, progressing from Research Associate to Assistant Professor (2004-2005), Associate Professor (2005-2012), and Professor (2012-present). He is affiliated with multiple professional organizations including ACM, IEEE Computer Society, The Institute of Electronics, Information and Communication Engineers, and Information Processing Society of Japan. His research focuses on computer architecture, particularly parallel computing systems and compiler technology. Kimura has made significant contributions to the development of the OSCAR (Optimally Scheduled Advanced Multiprocessor) automatic parallelizing compiler framework. His work spans multiple areas including multicore processor architecture, power reduction techniques for embedded systems, non-volatile memory systems, and parallelization methods for heterogeneous architectures. His research interests specifically include Multiprocessor Architecture and Parallelizing Compiler development, with applications in real-time systems and energy-efficient computing. Analysis of his recent publications reveals a strong focus on practical implementations of parallel computing technologies across diverse hardware platforms including RISC-V, ARM, and heterogeneous multicore systems. His work demonstrates a consistent trajectory from theoretical compiler development toward practical applications in embedded systems, security, and non-volatile memory technologies. The publications show increasing emphasis on RISC-V architecture, persistent memory programming, and power-efficient computing solutions. MEXT Award for Science and Technology (Research category), 2014.04 Ministry of Education, Culture, Sports, Science and Technology (MEXT) Kimura has served on numerous prestigious conference program committees including PACT, IPDPS, HPCA, and LCPC. His research has been supported through collaborations with major technology companies and government initiatives such as the METI/NEDO project entitled "Multicore Technology for Realtime Consumer Electronics." His work with the OSCAR compiler framework has demonstrated significant performance improvements and power reductions in real-world applications. He leads research in the APAL laboratory (http://www.apal.cs.waseda.ac.jp/) at Waseda University, focusing on advanced parallel processing technologies. His team works on compiler-directed approaches to solve challenges in heterogeneous multicore architectures, with particular emphasis on making parallel programming more accessible while optimizing for both performance and power efficiency. Current research directions include RISC-V secure boot verification, non-volatile memory systems, and GPU-based persistent memory solutions.

• semantics
• pragmatics
• language acquisition
• +۳ مورد دیگر

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.

• Cognitive and brain science
• Experimental psychology
• Kansei informatics
• +۷ مورد دیگر

Katahira Kenji is an Associate Professor at the School of Humanities and Social Sciences , Osaka University, with research spanning music psychology , emotion physiology , and Kansei informatics . His work bridges Cognitive neuroscience Human-computer interaction Design psychology Key research themes include flow experiences , emotional piloerection , and nonverbal communication in musical ensembles . He developed EEG-based flow state measurement 3D shape evaluation models Emotional response frameworks for sound and design His scientific contributions include Good Design Award (2014) ICMPC10 Travel Award (2008) Multiple best paper awards from Japanese academic societies Recent projects focus on Neural basis of voluntary piloerection Physiological measurement systems for peak experiences Kansei evaluation models for textures and 3D designs with grants from the Japan Society for the Promotion of Science.

Eijiro Sumiiمشاهده پروفایل

استاد

• Programming Languages
• Type Systems
• Process Calculi
• +۳ مورد دیگر

Eijiro Sumii is a Professor at the Graduate School of Information Sciences, Tohoku University, where he has been employed since May 2014. Previously, he served as an Associate Professor at the same institution from May 2005 to March 2014, and as an Assistant Professor in the Department of Computer Science at the University of Tokyo from April 2001 to March 2003. He has also held research positions at the University of Pennsylvania under Professor Benjamin C. Pierce. Dr. Sumii's research focuses on the theoretical foundations and practical applications of programming languages and type systems. His work spans multiple domains including process calculi, partial evaluation, security foundations, and functional programming. He has made significant contributions to the field through his development of MinCaml, an educational compiler, and his Japanese translation of the seminal work "Types and Programming Languages" by Benjamin Pierce. His recent publications demonstrate a consistent focus on programming language theory, with particular emphasis on type systems for security applications, partial evaluation techniques, and functional programming paradigms. The publications reveal a trajectory moving from foundational theoretical work toward more applied security and distributed systems research. Dr. Sumii is highly active in the academic community, having served on program committees for major conferences including ICFP, POPL, PLAS, and ESOP. He has organized numerous workshops and conferences, including serving as program chair for ICFP 2016 and FLOPS 2014. He is the organizer of the PEPT (Partial Evaluation and Program Transformation) mailing list, which serves as an important forum for researchers in this specialized area. His leadership extends to membership in the Global Young Academy since May 2015 and the Young Academy of Japan since November 2010, where he served as Secretary from February 2015.

• Comparative Literature
• Translation Studies
• Central and Eastern European Literature
• +۴ مورد دیگر

Kenichi ABE is a Professor at the University of Tokyo's Graduate School of Humanities and Sociology, specializing in Central and Eastern European literature, comparative literature, and translation studies. With a PhD in Literature from Tokyo University of Foreign Studies, he has held academic positions since 2003 across institutions like Rikkyo University and Musashi University. Current research focuses on fantasy literature in border regions and ecocriticism in Slavic contexts Recipient of Yomiuri Literary Prize (2025) and Japan Translation Award (2015) Leads JSPS-funded projects on Milan Kundera and transnational literary paradigms His publications bridge Czech-Japanese literary analysis, including translations of Kundera and Capek's works. Recent studies examine Kafka's influence in Czech literature and transnational 'homeland' concepts. Academic contributions span three decades, with over 60 publications and leadership roles in Japan Society for Slavic Studies and Japan Comparative Literature Association. Current affiliations include Moravian Museum collaborations and editorial board positions.

• Cognitive Psychology
• Psycholinguistics
• Experimental Psychology
• +۲ مورد دیگر

Yasushi Hino is a Professor at the School of Humanities and Social Sciences , Waseda University . His research focuses on Cognitive Psychology and Psycholinguistics , particularly the interplay between orthography, phonology, and semantics in Japanese and cross-linguistic contexts. Ph.D. in Psychology from The University of Western Ontario (Canada) Key research areas: Masked Priming , Orthographic-Phonological Consistency , Bilingual Word Recognition , and Phonological Units in Kanji . Hino’s work investigates how logographic scripts (Kanji, Katakana) and alphabetic scripts influence lexical decision-making, speech production, and semantic activation. His studies often employ masked priming paradigms and cross-modal tasks to explore phonological feedback, morphological decomposition, and bilingual integration of phonological representations. Recent publications (2025–2020) highlight his contributions to understanding orthographic-semantic consistency effects , phoneme-based Stroop effects , and backward priming in logographic scripts . Collaborations include researchers like Stephen J. Lupker , Debra Jared , and Mariko Nakayama . Hino is a member of the Japanese Psychological Association , American Psychological Association , and Psychonomic Society . He has presented extensively at international conferences, including the Psychonomic Society and Cognitive Neuropsychology Research Meeting , and contributed to key publications such as Cognitive Neuropsychology of Language and New Developments in Cognitive Psychology .

• Japanese Language Education
• Japanese Linguistics
• Course Design
• +۶ مورد دیگر

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.