جستجوی استاد راهنمای دانشگاهی

• Informatics
• Perceptual Information Processing
• Computer Vision
• +۳ مورد دیگر

SAKAUE Fumihiko is an Associate Professor at the Faculty of Engineering, Department of Information Engineering at Okayama University. He holds a Doctor of Engineering degree from Okayama University, awarded in 2006. His research focuses on innovative computer vision and computational photography techniques, aiming to develop novel methods for 3D measurement and real-time motion analysis without relying on conventional cameras or computers. His work integrates light-ray processing and spatiotemporal modulation to enhance visual information extraction and has contributed significantly to fields such as pattern recognition and imaging systems. Education background includes graduation from Okayama University's Faculty of Engineering in 2001, followed by earning his Doctor of Engineering degree from the same institution in 2006. His research interests span several key areas in informatics and engineering, including: Perceptual information processing for dynamic visual analysis Computer vision applications in 3D reconstruction and motion capture Computational photography techniques for advanced imaging systems Pattern recognition methodologies in unstructured environments Development of light-based measurement systems without conventional sensors Integration of light projection and observation for real-time data interpretation SAKAUE has received numerous awards, including: MIRUインタラクティブ発表賞 (2024) Best student paper award at International Workshop on Frontiers of Computer Vision (2022) Best paper award at INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (2022) MIRU2018長尾賞 (2018) 山下記念研究賞 (2018) CGVI研究会優秀研究発表賞 (2017) ICPR Best Student Paper Award (2016) MIRUインタラクティブ発表賞 (2019) MRU2016インタラクティブ発表賞 (2016) In terms of advising, SAKAUE has guided notable students including Toshiki Kamiya (recipient of 2022 Best Student Paper Award) and Yuma Nishikawa (2024 Best Student Paper award recipient). He has secured multiple grants from the Japan Society for the Promotion of Science (JSPS), including a 2020-2023 grant focused on 3D motion visualization through spatiotemporal light-ray integration, and a 2016-2019 grant on 5D light field display technologies. Additional funding includes a 2022-2025 project with Aichi Prefecture for AI-driven textile inspection systems. SAKAUE collaborates with interdisciplinary research teams at Okayama University, focusing on developing innovative imaging systems and sensorless vision technologies. His work often involves partnerships with industry through patents and applied research projects, such as the 'Position Measurement Device' (2016) and 'Three-Dimensional Information Presentation Device' (2014), demonstrating practical applications of his theoretical research.

• Data Science
• Artificial Intelligence
• Statistical Causal Inference
• +۳ مورد دیگر

Shohei SHIMIZU is a Professor at Osaka University 's Department of Reasoning for Intelligence and a Specially Appointed Professor at Shiga University 's Faculty of Data Science . With a career spanning multiple institutions and roles, he has been pivotal in advancing causal discovery methodologies. His research focuses on Statistical Causal Inference Machine Learning for Observational Data Reliability of AI Systems Industry-Academia Collaborations Recent work includes differentiable causal discovery and counterfactual explanations for complex AI models, emphasizing applications in biomedical research and financial analysis . Key trends in his publications show a strong emphasis on non-Gaussian models , hidden variables , and scalable algorithms , with recent integrations of large language models and open-source Python tools . Students and Collaborations Ph.D. students: Yuji Sakamoto, Kentaro Tagawa, Yi Jiang, Yoshimitsu Morinishi, Daigo Fujiwara Collaborations: RIKEN AIP Causal Inference Team, JST CREST Project, Tokyo Institute of Technology

Mizuho Iwaiharaمشاهده پروفایل

استاد

• Database Systems
• Web Information Systems
• Text Mining
• +۳ مورد دیگر

Professor Mizuho Iwaihara is affiliated with Waseda University's Faculty of Science and Engineering and Graduate School of Information, Production, and Systems. Her research focuses on database systems, web information retrieval, text mining, security/privacy, and social media analysis. She has led significant projects on Wikipedia edit history analysis, knowledge graph construction, and privacy-preserving frameworks. Key research areas: Database Query Processing, Web Information Systems, Text Mining, Knowledge Management, Social Media Her recent publications address semantic analysis of collaborative content, topic evolution tracking, and privacy behavior modeling. Over 85 papers with 349 citations reflect her impact in database and social media research. Scientific achievements include: Best Demo Award (2014) for WikiReviz Best Paper Award (2008) at IFIP e-Business Conference EC-Web2006 recognition Grants from Japan Society for the Promotion of Science (JSPS) span multiple projects on knowledge graph development, social content analysis, and privacy-preserving systems. She supervises numerous graduate students and leads the Data Engineering Laboratory at Waseda University.

• Human-Computer Interaction
• Image Processing
• Digital Signal Processing
• +۴ مورد دیگر

Yoichi Kato serves as a Professor (without tenure) at Waseda University's School of Creative Science and Engineering and Global Center for Science and Engineering. He maintains additional affiliations with the Graduate School of Creative Science and Engineering and the Global Education Center. His academic profile spans decades of research and teaching in information and communication technologies, with particular expertise in video coding algorithms, image processing, and human-computer interaction systems. Professor Kato's research interests focus on Human interface and interaction, Image Processing, Digital Signal Processing, and Design Thinking. His scholarly trajectory demonstrates a progression from foundational work in signal processing during the 1980s-1990s toward more applied, interdisciplinary research in recent years. Early publications established his expertise in motion picture coding algorithms and image restoration techniques, while his current work explores IoT applications, machine learning prototyping methods, and user-centered design approaches. Analysis of his publication history reveals significant contributions to video compression standards and image processing algorithms, with recent research expanding into collaborative systems, disaster prevention technologies, and educational applications. His work bridges theoretical foundations with practical implementations, particularly evident in his recent projects involving drone-based terrain analysis and automated plant monitoring systems. Professor Kato actively supervises graduate students through Master's Thesis projects in the Department of Modern Mechanical Engineering and Research on Neuro Robotics. His teaching portfolio includes diverse courses such as SHIP Field Practice, Modern Information and Communication Systems, Exercise for Co-Creation workshop, and Introduction to Python Programming, reflecting his interdisciplinary approach to education. His laboratory activities center on practical applications of information technologies, with current projects examining drone applications for disaster prevention, remote plant monitoring systems using IoT technology, and prototyping methodologies for machine learning applications. These initiatives demonstrate his commitment to translating theoretical knowledge into real-world solutions that address contemporary challenges.

• Information Technology
• Communication Engineering
• Image Processing
• +۳ مورد دیگر

Hiroshi Watanabe is a Professor at Waseda University 's Department of Communications and Computer Engineering , School of Fundamental Science and Engineering. With a Doctor of Engineering from Hokkaido University (1985), his career spans NTT Human Interface Laboratories (1985-2000) and academic leadership at Waseda since 2000, including chairing ISO/IEC JTC 1/SC 29 (1999-2006). A Fellow of IEEE , IEICE , and other institutions, he focuses on image/video coding , machine vision , and multimedia distribution . Education: BE, ME, Ph.D. in Electronic Engineering (Hokkaido University) Professional Affiliations: IEEE, IEICE, IPSJ, ITE, IIEEJ His research bridges image/video processing with deep learning , emphasizing machine-centric coding , real-time detection , and multimodal analysis . Key recent work includes: Novel image coding frameworks combining edge learning and diffusion models Super-resolution techniques for QR codes and medical imaging Advanced object detection using non-local modules and attention networks 3D pose estimation and point cloud analysis for robotics and healthcare He has received prestigious awards including the 2005 Information Processing Society of Japan Standardization Contribution Award and multiple earlier honors. His recent publications (2024-2025) demonstrate leadership in machine vision coding , real-time medical detection , and multimodal signal processing , often integrating stable diffusion , feature fusion , and parameter-efficient models .

• Fluid Engineering
• Thermal Engineering
• Aerospace Engineering
• +۳ مورد دیگر

Professor Matsuda Yu at Waseda University 's Faculty of Science and Engineering (School of Creative Science and Engineering) is a leading researcher in fluid engineering and aerospace systems. With a Doctor of Engineering from Nagoya University, he has developed innovative measurement techniques for micro/nano-scale phenomena. Current position: Professor, Waseda University (2022-present) Previous roles: Japan Science and Technology Agency (2018-2022), Nagoya University (2008-2018) Research Focus spans thermal engineering , microfluidics , and quantum-inspired data analysis . His recent work involves pressure-sensitive paint optimization, single-particle tracking , and quantum annealing applications for fluid dynamics. Scientific Recognition includes multiple JSME awards, MEXT Commendation for Young Scientists, and the 2025 Ichiro Tanaka Award . His 45+ scientific awards highlight contributions to measurement science and fluid dynamics. Technical Innovations include ambient-light-resistant PSP methods, quantum-optimized sensor placement, and bioluminescent temperature-pressure sensors. His 95+ publications with 1497 Google Scholar citations demonstrate significant impact in microscale flow analysis and nanoparticle dynamics .

• Architectural History
• Zomia Region Architecture
• Traditional Japanese Architecture
• +۳ مورد دیگر

Norihito Nakatani is a Professor at Waseda University's School of Creative Science and Engineering. Holding a Ph.D. in Architectural History, he maintains a research website at nakatani-seminar.org . His work bridges architectural history with contemporary sustainability studies, focusing on long-term settlement continuity and traditional technology adaptation. 1995 Ph.D. in Architectural History from Waseda University 1989 Degree in Architectural History from Waseda University Research Interests center on architectural history and design, particularly in the Zomia region and Japanese traditional housing. His Millennium Villages project examines settlements sustained over 1,000 years through historical document analysis and geospatial mapping. Recent publications analyze 20th-century sustainability of Osaka's Nagaya townhouses and Meiji-era carpentry terminology, showing his focus on weak technology concepts. He investigates how traditional systems persist through gradual adaptation despite modernization pressures. Scientific Recognition Architectural Institute of Japan Book Award (2020) KON Wajiro Award (2013) Multinational design commendations As Chief Editor of the Journal of the Architectural Institute of Japan , he influences academic discourse. Current research projects include Historical Survival Environments in East Asia (2025-2028) and Cyclical Architecture Studies (2023-2026), focusing on material recycling and settlement continuity.

• Experimental Psychology
• Perceptual Psychology
• Temporal Processing
• +۴ مورد دیگر

Kosuke Yamamoto is an Assistant Professor at the Research Institute for Science and Engineering, Waseda University. He holds a PhD in Psychology from Keio University and has affiliations with the School of Humanities and Social Sciences at Waseda University. His career spans roles at Tohoku University, Keio University, and the Japan Society for the Promotion of Science. Education: PhD in Psychology, Keio University (2011-2016) Bachelor's in Humanities and Social Science, Keio University (2006-2011) Dr. Yamamoto's research focuses on experimental psychology, perceptual psychology, and multisensory integration. His work examines temporal processing in speech production/perception and food texture evaluation using methods like Temporal Dominance of Sensations (TDS) and Temporal Drivers of Liking (TDL). His publications from 2010-2022 demonstrate expertise in vocal-auditory integration, audiovisual timing, and sensory perception. Key methodologies include delayed auditory feedback (DAF) adaptation, onomatopoeic descriptors, and physiological measurements during sensory tasks. Scientific Awards: JSPS Special Research Fellowship (DC1) Professional Memberships: The Japanese Association for the Study of Taste and Smell The Japanese Psychonomic Society Dr. Yamamoto has teaching experience at Keio University, Taisei University, and Waseda University, offering courses in psychological experiments and research methods.

• Quantum Computing
• Geospatial Information Processing
• Text Mining

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

• Phonetics
• Phonology
• Speech perception
• +۵ مورد دیگر

Mariko Kondo is a Professor at Waseda University's School of International Liberal Studies, Faculty of International Research and Education. With extensive expertise in phonetics and second language acquisition, she has established herself as a leading researcher in cross-linguistic speech perception and production. Her academic journey includes foundational studies at Waseda University followed by advanced degrees in the UK, culminating in a Ph.D. in Linguistics (Phonetics) from the University of Edinburgh. Her educational background demonstrates a strong foundation in both linguistic theory and practical phonetic analysis: BA in Literature (Waseda University), MA in Language and Literature in Education (Institute of Education, University of London), MA in Phonetics (University College London), and Ph.D. in Linguistics (Phonetics) (University of Edinburgh). This diverse academic path has equipped her with the theoretical and methodological expertise necessary for her current research. Professor Kondo's research focuses primarily on phonetics, phonology, speech perception, language acquisition, and speech corpus development. Her work particularly examines how Japanese speakers perceive and produce English sounds, cross-linguistic transfer in speech perception, and the acoustic properties of Japanese and other languages. She has made significant contributions to understanding vowel length perception, consonant production, and the influence of L2 learning on L1 speech patterns. Her research often employs corpus-based methodologies and computational modeling to investigate speech phenomena. Her 27 publications with 179 citations (h-index: 6) demonstrate a consistent research trajectory focused on Japanese-English cross-linguistic speech issues, expanding to include Vietnamese and other language pairs in recent years. The publications reveal a methodological shift toward computational modeling and corpus linguistics, with increasing attention to bilingual speech phenomena and the interaction between L1 and L2 speech systems. Her work bridges theoretical phonology with practical applications for language teaching. Professor Kondo holds significant roles in the academic community, including serving as Associate Editor for Phonetica and active participation in the Phonetic Society of Japan's committees, including the 100th Anniversary Commemoration Committee. She has also served as Editor-in-Chief of the Journal of Phonetic Society of Japan and chaired the International Exchange Committee. She is deeply involved in collaborative research projects, most notably the J-AESOP Corpus (Japanese-English Bilingual Speech Corpus), which represents a major contribution to the field of second language speech research. Her work connects theoretical linguistics with practical applications in language teaching and speech technology development.

• Wireless Communication
• Wireless Sensing
• Wireless Network Systems
• +۵ مورد دیگر

Professor Jiang Liu is a distinguished academic at Waseda University's Faculty of Science and Engineering, where he serves as a Professor in the Global Center for Science and Engineering. Previously, he held positions as Associate Professor (2017-2024), Assistant Professor (2014-2017), Junior Researcher (2012-2014), and Research Assistant (2009-2012), demonstrating a steady progression in his academic career at the same institution. Dr. Liu holds a Doctor of Science and Master of Science in Global Information and Telecommunication Studies from Waseda University. His professional affiliations include the Institute of Electrical and Electronics Engineers (IEEE), IET, and the Institute of Electronics, Information and Communication Engineers (IEICE). His research spans multiple cutting-edge domains with a strong focus on Wireless Communication and Sensing , Wireless Network Systems , and Optical Wireless Communications . Dr. Liu has pioneered non-contact medical measurement techniques using microwave and infrared technologies for blood pressure monitoring, blood glucose measurement, and arteriosclerosis detection. His work bridges engineering and healthcare applications, developing AI-powered diagnostic systems for cardiovascular diseases, breast tumor classification, and autism detection. He also contributes significantly to energy systems research, particularly in photovoltaic power forecasting and building energy management. Dr. Liu has an impressive publication record with 109 papers, accumulating 868 citations (Scopus) and 1190 citations (Google Scholar), with h-indices of 14 and 15 respectively. His recent work shows a strong trend toward interdisciplinary research combining wireless communications, machine learning, and healthcare applications, with numerous 2024-2025 publications reflecting his active research program. His scientific contributions include innovative approaches to non-contact medical diagnostics, wireless communication systems, and energy-efficient computing. Dr. Liu's work on wireless-powered edge computing networks, non-invasive blood glucose monitoring, and brain-computer interfaces has established him as a leader in applying communication technologies to solve healthcare challenges. As an advisor and researcher, Dr. Liu leads projects that integrate multiple disciplines, from developing machine learning models for medical diagnostics to creating novel wireless communication frameworks for Internet of Vehicles and edge computing applications. His laboratory focuses on practical implementations of theoretical concepts, with many projects resulting in tangible healthcare and communication technologies.

Shoichi Shigeمشاهده پروفایل

دانشیار

• Meteorology
• Atmospheric Science
• Remote Sensing
• +۳ مورد دیگر

Shoichi Shige is an Associate Professor at Kyoto University's Graduate School of Science, Division of Earth and Planetary Science, since 2009. He has held visiting positions at Colorado State University (2013-2014) and has been affiliated with institutions like Osaka Prefecture University and JAXA's Earth Observation Research Center. Education: PhD in Earth and Planetary Sciences from Kyoto University (2001). Professional Memberships: American Meteorological Society, American Geophysical Union, IEEE Geoscience and Remote Sensing Society (2008-2019), and Japanese meteorological societies. Research Interests Latent heat retrieval algorithms using TRMM/GPM satellite data. Global precipitation mapping via microwave radiometers (GSMaP project). Orographic rainfall dynamics in monsoon regions. Rain/no-rain classification methods for remote sensing. Scientific Contributions Developed the Spectral Latent Heating (SLH) algorithm. Collaborated on TRMM latent heating intercomparisons. Published 15+ peer-reviewed articles since 1999, focusing on tropical convection, precipitation profiles, and satellite data validation. Awards 2018 Meteorological Society of Japan Award for contributions to precipitation research.

• Human Interface and Interaction
• Ergonomics/Human Factors
• Virtual Reality
• +۳ مورد دیگر

Takashi Kawai is a Professor at the Department of Intermedia Art and Science, School of Fundamental Science and Engineering, Waseda University , since 2008. He earned his Ph.D. in Human Sciences (1998), MA (1995), and BA (1993) from Waseda University. His career includes visiting professorships at the Institute of Behavioral Sciences, University of Helsinki (2008–2016). Education: Ph.D., MA, BA in Human Sciences (Waseda University) Appointments: Waseda University (1998–Present), University of Helsinki (Visiting Professor) Research interests focus on Human Interface and Interaction , Ergonomics/Human Factors , and 3D Display Systems . He investigates VR Sickness , Visual Fatigue , and Cross-Modality Sensory Effects in virtual environments. Publication trends show a strong focus on VR User Experience , 3D Visual Systems , and Ergonomic Design for emerging technologies like Head-Mounted Displays and Automated Vehicles . His works often combine Psychophysiological Measurements with Human Behavior Analysis . Awards include: Japan Ergonomics Society Research Award (2022, 2009) Charles E. Ives Journal Award (2019) Best Paper Award (2014) The Best Use of Stereoscopic Presentation Tools (2004) Mobile Content Forum Mobile Movie Award (2001) Azusa Ono Memorial Award (1994) Labs and teams include collaborations with the Institute of Behavioral Sciences (University of Helsinki) , Virtual Reality Society of Japan , and projects involving NIRS brain imaging , Autostereoscopic Displays , and 3D Digital Archiving of cultural heritage.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۲ 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.

• Social Psychology
• Industrial and Organizational Psychology
• Organizational Behavior
• +۵ 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.