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• Electronic Design Automation
• VLSI Design
• Computer Systems
• +7 more

Shinji Kimura is a Professor at Waseda University's Faculty of Science and Engineering, specializing in VLSI design and electronic systems. He holds a Doctor of Engineering from Kyoto University and has been with Waseda since 2002, previously serving as Associate Professor at Nara Institute of Science and Technology (1993–2002) and Assistant Professor at Kobe University (1985–1993). Kimura's research spans low-power circuit design , approximate computing , FPGA optimization , video coding (HEVC) , and hardware acceleration for AI . His work focuses on energy-efficient architectures for applications like neural networks, computer vision, and ultra-high-definition video processing. Recent publications emphasize hardware-efficient multipliers, neural network compression, and 3D-stacked memory systems. Awards include the LSI IP Design Award (2000, 1999) and the Information Processing Society of Japan Encouragement Award (1993). He leads projects on HEVC encoding/decoding, non-volatile memory optimization, and 3D integrated circuits, with VLSI implementations achieving real-time 8K video processing.

• Computer Vision
• 3D Reconstruction
• Perceptual Information Processing
• +7 more

SATO Jun holds the position of Professor at the Department of Information Engineering (メディア情報分野) within the Faculty of Engineering at Nagoya Institute of Technology. He received his Ph.D. in Information Engineering from the University of Cambridge (1993–1996) and previously served as a Research Assistant at Cambridge (1996–1998). His research focuses on perceptual information processing and intelligent informatics, with specializations in computer vision, 3D reconstruction, and optical engineering applications. He has authored influential books like Computer Vision - Geometry of Vision (1999) and Computer Graphics (2017), and contributed to international publications such as Springer's Computer Vision: A Reference Guide (2020). Key professional roles include serving as President of the IEEE Nagoya Branch since 2023, Associate Editor of the International Journal of Computer Vision (Springer, 2010–present), and committee member for various organizations including Japan's Ministry of Education (2015–present) and the Nagoya City Business Potential Evaluation Committee (2008–2015). He has been recognized with prestigious awards including the BMVC Best Science Paper Prize (1994, 1997) and ITE Niwa-Takayanagi Prize (2015). His research extends to industrial collaborations, evidenced by patents like the "3D Information Presentation Device" (2014–2017) and "Position Detecting Device" (2016–2019). Recent work emphasizes applications in automotive safety, occluded object reconstruction, and novel imaging systems using advanced optical configurations and neural networks.

• Software Engineering
• Model Checking
• Formal Verification
• +4 more

Professor Tomoji Kishi is a distinguished faculty member at Waseda University's School of Creative Science and Engineering, where he has been serving since 2009. Previously, he held academic positions at Japan Advanced Institute of Science and Technology (2003-2009) following a 21-year career at NEC Corporation (1982-2003). He earned his Ph.D. in Information Science from Japan Advanced Institute of Science and Technology in 2002, building upon his earlier engineering graduate studies at Kyoto University. Professor Kishi's research focuses on software engineering, particularly in software product line development, model checking, formal verification, and aspect-oriented modeling. His work bridges theoretical formal methods with practical applications in embedded systems, automotive software, and IoT technologies. He has made significant contributions to scalability challenges in model checking for configurable systems and has pioneered approaches to variability management and approximate modeling techniques. His publication record demonstrates remarkable consistency and evolution, with 42 papers and 153 citations according to Scopus data (h-index: 7), spanning from foundational work in software architecture in the 1990s to cutting-edge research on AI-enhanced verification methods in 2025. His recent work shows increasing application of machine learning techniques to traditional formal methods problems, particularly in the context of highly configurable systems and IoT applications. ITS Standardization Activity Merit Prize (2022) from Society of Automotive Engineers of Japan IPSJ/ITSCJ Standardization Contribution Award (2017) IPSJ/ITSCJ Project Editor Award (2016 and 2013) Information Processing Society of Japan Society Activity Contribution Award (2010) IPA/SEC Journal Best Paper Award (2007) Information Processing Society of Japan Yamashita Memorial Research Award (1998) Professor Kishi has led multiple JSPS-funded research projects, including recent work on 'variability management methods prioritizing usability through variability mining' (2020-2023) and 'utility-first modeling method' (2017-2020). His industry collaborations, particularly with automotive systems developers, demonstrate the practical impact of his research. He maintains active membership in major professional societies including IEEE Computer Society, ACM, and the Information Processing Society of Japan.

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

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

• Trustworthy computing
• Energy harvesting
• Intelligent system design
• +7 more

Youhua Shi is a full Professor in the Faculty of Science and Engineering at Waseda University, Japan. He obtained his Doctor of Engineering from Waseda in 2005 and is an active member of IEICE, IPSJ, IEEE, and two Japanese academic societies. His research portfolio integrates trustworthy computing, hardware security of AI accelerators, energy-harvesting interface circuits for triboelectric nanogenerators, and low-power VLSI design-for-test methodologies. Education: Doctor of Engineering, Waseda University (2005) Graduate studies, Waseda University, Division of Engineering (completed 2005) Research Interests: Prof. Shi pursues trustworthy and secure silicon systems, spanning hardware Trojans in automated AI-accelerator flows, radiation-hardened latch design for soft-error resilience, and power-efficient CNN accelerators exploiting zero-gating and data-reuse techniques. Parallel work targets energy-autonomous IoT through advanced interface circuits for triboelectric nanogenerators, achieving record energy-per-cycle beyond the classical CMEO limit. Publication Trends: Recent articles (2024-2025) emphasize two thrusts: (i) security of AI/FPGA accelerators—proposing stealthy hardware-Trojan frameworks embedded within design-space-exploration flows that can misclassify up to 97% of inputs—and (ii) power electronics for triboelectric harvesters—introducing dual-output rectifiers and Bennet-doubler biasing that multiply output power >150× over conventional full-wave rectifiers, enabling battery-free IoT nodes. Scientific Awards: APCCAS Best Student Paper Award – 2020 IEEK Best Paper Award – 2012 Students & Collaboration: He has mentored numerous doctoral and master’s scholars, including Yirui Su, Chao Guo, Jinghao Ye, Lin Ye, Saki Tajima, and Masaru Oya, many of whom serve as first authors on his high-impact publications, indicating an active and productive advising role. Labs & Teams: While the text does not name a specific laboratory, his continued affiliation with Waseda University’s Faculty of Science and Engineering and his extensive project output imply he leads a research group focused on secure & energy-efficient VLSI systems, collaborating closely with colleagues such as Prof. Masao Yanagisawa and Prof. Nozomu Togawa.

• Architectural Engineering
• Construction Management
• 3D Modeling
• +3 more

Dr. Kosei Ishida is an Associate Professor at the School of Creative Science and Engineering, Waseda University, specializing in architectural and construction engineering. With a Doctor of Engineering degree from Waseda University, he focuses on improving construction workflow efficiency through 3D modeling, BIM integration, and motion analysis techniques. Faculty of Science and Engineering (2012-2014) Graduate School of Creative Science and Engineering (2014) School of Science and Engineering (2009) His research spans architectural planning, city planning, and information-based construction methods, with particular emphasis on work efficiency analysis, 3D laser scanning for structural assessment, and BIM technology adoption in construction companies. He has developed factor analysis frameworks for construction time studies and pioneered pre-cut component design methodologies using 3D scanning. Research trends show strong focus on: 3D modeling and point cloud analysis Construction process optimization Building lifecycle management systems Work environment assessment Material usage efficiency Digital fabrication techniques Scientific awards include: ISARC Best Paper Award (2012) Ono Azusa Memorial Award (2013) Multiple Building Construction Symposium Outstanding Presentation Awards (2014-2015) He teaches courses in construction measurement, building systems, architectural design, and construction management, while maintaining active involvement in industry committees and research projects including digital fabrication methodologies for building repairs.

• Rehabilitation Science
• Human-Computer Interaction
• Assistive Technology
• +5 more

Mamoru IWABUCHI is a Professor at Waseda University's School of Human Sciences, where he has served since April 2018. Previously, he held positions as Associate Professor and Project Associate Professor at The University of Tokyo's Research Center for Advanced Science and Technology (2009-2018), and as Associate and Assistant Professor at Hiroshima University's Graduate School of Education (2001-2008). His academic journey includes international experience as a Visiting Researcher at the University of Washington (2003-2004) and Research Associate at the University of Dundee (1997-2000). Dr. IWABUCHI earned his Doctor of Engineering and Master of Engineering from Osaka University, and an MSc from the University of Dundee. His educational background spans Electrical Engineering and Applied Computing, providing a strong foundation for his interdisciplinary research. His research focuses on Rehabilitation Science and Human-Computer Interaction with particular emphasis on assistive technology for people with disabilities. He has pioneered smartphone-based diagnostic systems for eye health assessment and developed innovative communication interfaces for individuals with severe and multiple disabilities. His work bridges engineering, healthcare, and education, creating practical solutions that enhance accessibility and inclusion. Recent projects integrate machine learning with everyday technologies to support reading and writing difficulties, while maintaining compatibility with standard classroom materials. Analysis of his publication record reveals a consistent trajectory from fundamental assistive technology research toward increasingly sophisticated, integrated solutions that leverage mainstream technologies like smartphones and tablets. His work demonstrates a progression from specialized assistive devices toward adaptations of commercially available technologies that serve both disabled and non-disabled users. 2020.11: Outstanding Presentation Award, Human Interface Society 2019.12: Excellent Presentation Award, Japan Society for Welfare of the City 2017-2014: Microsoft MVP Awards (Windows Development and Kinect for Windows) 2008: University of Washington DO-IT Program Trailblazer Award 2004: Japan Society for Industrial Technology Education Meritorious Service Award Dr. IWABUCHI has secured significant research funding through Japan Society for the Promotion of Science grants, focusing on inclusive education, communication support for severe disabilities, and digital fabrication for assistive technology. His laboratory (iwalab.jp) serves as a hub for developing practical solutions that bridge technological innovation with real-world disability support needs. He has held leadership roles in professional societies including the Human Interface Society and ISAAC (International Society for Augmentative and Alternative Communication), contributing to the advancement of accessibility standards and practices in Japan and internationally.

• Environmental policy and social systems
• Climate Change Adaptation
• Carbon Neutral
• +6 more

Jing Kang is an Assistant Professor (non-tenure-track) at the Waseda Institute for Advanced Study, Waseda University, where she is affiliated with the Faculty of Commerce and Graduate School of Commerce. Previously, she served as an Assistant Professor at Hiroshima University's Graduate School of Advanced Science and Engineering (2021-2024), and held research positions at the University of Pennsylvania including Research Fellow at the University Transportation Center--CM2 Project and Visiting Scholar at the Institute for Urban Research. Her academic journey reflects a strong interdisciplinary focus bridging geography, environmental science, and urban planning. Dr. Kang's educational background includes: Doctor of Science from Beijing Normal University (2011-2017), College of Global Change and Earth System Science, specializing in Global Environmental Change (Quantitative Remote Sensing) Joint scholarship program between National Oceanography Centre UK and Beijing Normal University (2014-2016) Her research interests span multiple interconnected domains at the intersection of environmental science, urban systems, and geospatial technologies. Dr. Kang focuses on environmental policy and social systems, with particular expertise in Climate Change Adaptation, Carbon Neutral strategies, and Human geosciences. She applies advanced Remote Sensing techniques, Spatial Data Integration, GIS methodologies, and Spatial Econometrics to address pressing urban environmental challenges. Her work bridges technical geospatial analysis with policy-relevant insights, particularly examining how electric vehicle adoption reshapes urban infrastructure and energy systems. Dr. Kang's publication record reveals a clear trajectory of increasingly sophisticated interdisciplinary research connecting transportation systems, urban form, and environmental sustainability. Her recent work demonstrates a strong emphasis on applying machine learning techniques to geospatial data for understanding electric vehicle infrastructure dynamics, carbon emissions patterns, and urban environmental challenges. She has developed innovative methodologies for analyzing urban functional shrinkage, EV charging accessibility, and the relationship between land use changes and carbon dynamics. Her research consistently leverages multi-source geospatial big data to provide evidence-based insights for urban climate action and sustainable mobility planning. Dr. Kang has received several notable scientific awards: First Prize of China High-Resolution Remote Sensing Application Solution Competition (2018) National Oceanography Centre UK and Beijing Normal University Joint Scholarship Program (2014) Second Prize (Province level) in National Undergraduate Mathematical Modeling Contest (2008) As an active researcher, Dr. Kang has secured competitive funding including a Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research project "Assessing the Coordination of Electric Vehicle Adoption on Urban Energy Transition: A Geospatial Machine Learning Framework" (2024-2026) and a Waseda University Grant for Special Research Projects on "Towards Effective Climate-Land Governance: Evidence-Based Approaches to Sustainable Land Use Policies" (2024-2025). She serves as a peer reviewer for numerous prestigious journals including Nature Scientific Data, Energy, Land Use Policy, and Sustainable Cities and Society, demonstrating her standing in multiple academic communities. Dr. Kang actively contributes to academic discourse through invited presentations at international venues including Waseda University Research Institute of Business Administration Seminar, International Workshop on Practical Applications of AI Technologies, and Nature Conferences on Air Pollution and Climate Change. Her work on "Accessible Remote Sensing: Interdisciplinary Approach and Applications" (CRC Press, 2025) represents a significant contribution to making advanced geospatial methodologies more widely accessible to interdisciplinary researchers.

• Robotics
• Control Systems
• Mechanical Engineering
• +4 more

Hiroyuki Ishii is a Professor at Waseda University's School of Creative Science and Engineering, Faculty of Science and Engineering. With over 15 years of academic experience at Waseda University, he was promoted to full Professor in 2022 after serving as Associate Professor from 2016-2022. His research spans robotics, control systems, and mechanical engineering, with particular expertise in soft robotics and continuum manipulators. His educational background includes: Ph.D. from Waseda University (2004-2007) Master's degree from Waseda University Graduate School of Science and Engineering (2002-2004) Bachelor's degree from Waseda University School of Science and Engineering (1998-2002) Professor Ishii's research focuses on Robotics and Intelligent Mechanics and Mechanical Systems , with particular emphasis on soft robotics, continuum manipulators, and human-robot interaction. His work bridges theoretical control systems with practical applications in medical robotics, rehabilitation devices, and inspection systems. He has pioneered novel approaches in pneumatic actuation, growing robots, and bimanual continuum robot control, demonstrating exceptional creativity in solving complex mechanical challenges. His recent publications reveal a strong trend toward medical applications of robotics, particularly in surgical assistance and rehabilitation. There's also significant work on soft growing robots and continuum manipulators with innovative actuation mechanisms. His research shows increasing interdisciplinary collaboration, spanning mechanical engineering, computer vision, and biomedical applications. His notable awards include: Best Paper Award Finalist at IEEE ICMA2024 The Robotics Society of Japan 3rd Outstanding Research and Technology Award (2022) Minister of Education, Culture, Sports, Science and Technology Young Scientists Award (2018) Advanced Robotics Best Paper Award (2015) ICRA2014 Best Cognitive Robotics Paper Award Finalist Professor Ishii actively participates in research committees and professional societies, serving as Director of the Robotics Society of Japan since 2024. His research has received substantial funding through competitive grants, supporting his work on innovative robotic systems with practical applications in healthcare, infrastructure inspection, and human-robot collaboration. His laboratory develops specialized robotic systems including small mobile robots for animal interaction, soft growing robots, and continuum manipulators for surgical applications. The team combines mechanical design expertise with advanced control algorithms to create robots capable of operating in complex environments.

• Ergonomics
• Industrial Engineering
• Accessibility
• +5 more

Maki Kato is a Professor at Waseda University's Faculty of Human Sciences, specializing in ergonomics and human factors engineering. Her research spans traffic psychology, cognitive psychology, safety engineering, and social systems engineering, with a focus on improving human-environment interactions for vulnerable populations including children and the elderly. Ph.D. (Human Sciences) from Waseda University Waseda University School of Human Sciences (1992) Waseda University Graduate School, Division of Science and Engineering Professor Kato's research interests center on ergonomics, industrial engineering, and accessibility. She investigates human behavior in various contexts including traffic environments, workplace settings, and daily living situations. Her work particularly examines postural stability, walking mechanics, and the impact of environmental factors on human performance. She has conducted extensive research on traffic hierarchy systems, pedestrian safety, and the development of monitoring systems for elderly individuals through fixture acceleration measurements. Her recent publications demonstrate a strong focus on practical applications of ergonomics in everyday life, with particular attention to traffic safety, workplace design, and aging populations. She has pioneered research on traffic hierarchy systems that prioritize vulnerable road users, developed methods for evaluating walking ability through sensor technology, and investigated the impact of modern technologies like smartphones on human behavior and safety. Professor Kato is an active member of several professional organizations including the Japan Industrial Management Association, Japan Ergonomics Society, and Society of Human Behavior. She has secured multiple research grants from the Japan Society for the Promotion of Science, including current projects on bicycle traffic safety education for children (2025-2028) and traffic hierarchy systems to substantiate pedestrian priority in crosswalks (2021-2024). Her earlier work includes projects on elderly monitoring systems, agricultural support through ICT, and community management systems for depopulated areas. Her laboratory work focuses on developing monitoring systems for elderly individuals using fixture acceleration measurements, creating safe environments for remote work, and designing traffic systems that prioritize vulnerable road users through the concept of traffic hierarchy. Her research has practical applications in urban planning, transportation safety, and workplace design.

• Software
• Intelligent informatics
• Control and system engineering
• +4 more

Professor Shigeru Fujimura is affiliated with Waseda University as a faculty member of the Faculty of Science and Engineering , specifically in the Graduate School of Information, Production, and Systems . With a PhD in Engineering from Waseda University, his research focuses on intelligent informatics and system engineering , particularly in scheduling, optimization, and human-robot collaboration. His research spans multiple domains including: Deep Reinforcement Learning for combinatorial optimization Energy-efficient manufacturing systems Multi-agent collaboration frameworks Augmented Reality interfaces IoT business modeling Recent publications demonstrate expertise in graph neural networks , particle swarm optimization , and generative adversarial networks applied to industrial problems. He has received multiple awards including the Invention Encouragement Prize (2003) and IEEJ Paper Presentation Award (1994) .

• Systems and Control
• Mathematical Optimization
• Cyber-Physical Human Systems
• +7 more

Yasuaki Wasa is an Associate Professor at Waseda University's Faculty of Science and Engineering, Department of Electrical and Bioengineering, where he has served since 2024. Previously, he held positions as Assistant Professor (tenured and non-tenured) at the same institution from 2019-2024, and Junior Researcher at Waseda University's Research Institute for Science and Engineering from 2017-2019. His academic journey began with Research Fellowships from the Japan Society for the Promotion of Science (2014-2017), following his doctoral studies at Tokyo Institute of Technology. Dr. Wasa earned his Ph.D. in Engineering from Tokyo Institute of Technology in 2016, after completing his Master's (2013) and Bachelor's (2011) degrees at the same institution, all in Mechanical and Control Engineering. His educational background established a strong foundation in systems and control theory that informs his current research. His research spans interdisciplinary domains at the intersection of control theory, game theory, and cyber-physical human systems. Key focus areas include mathematical optimization for dynamic systems, mechanism design for distributed decision-making, and the application of control theory to energy systems, robotics, and social dynamics. His work uniquely bridges theoretical control engineering with practical applications in sustainable energy, human-robot interaction, and societal systems, often employing game-theoretic approaches to address complex multi-agent coordination problems. Analysis of his recent publications reveals a strong trend toward integrating control theory with human factors in cyber-physical systems. His work increasingly focuses on the intersection of energy systems and human behavior, with significant contributions to net-zero energy solutions, game-theoretic approaches to resource allocation, and human-in-the-loop control systems for robotics applications. The mathematical sophistication of his work is consistently paired with practical implementation considerations. Outstanding Paper Award (2025) - Society of Instrument and Control Engineers Pioneer Award (2025) - SICE Control Division Outstanding Paper Award (2023) - Society of Instrument and Control Engineers Best Paper Award Finalist (2022) - Asian Control Conference Funai Information Technology Award for Young Researchers (2021) Waseda University Teaching Award (2024) Seiichi Tejima Doctoral Dissertation Award (2017) - Tokyo Institute of Technology Dr. Wasa actively mentors students through the Wasa Research Group (System Control Research), guiding numerous advisees who appear as co-authors on his publications. His current research is supported by multiple grants including a TEPCO Memorial Foundation Research Grant (2025-2028) on electricity market mechanisms and a JSPS Grants-in-Aid project (2023-2026) on control systems design for societal systems. His lab conducts cutting-edge research on cyber-physical human systems, with projects spanning VR-based drone swarm control, energy management systems, and human-robot cooperative transportation. The Wasa Lab maintains active collaborations with industry partners and participates in regular research camps and open house events to engage prospective students and collaborators.

• Artificial Intelligence
• Intelligence Informatics
• Internet of Things
• +4 more

Xin Qi is an Assistant Professor (non-tenure-track) at the School of International Liberal Studies, Faculty of International Research and Education, Waseda University. He holds a Doctor of Engineering degree from Waseda University (2019) and previously studied at Hangzhou Dianzi University (2009-2013). His educational background includes: Doctor of Engineering, Waseda University (2014.09-2019.09) Bachelor's degree, Hangzhou Dianzi University (2009-2013) Dr. Qi's research focuses on the intersection of artificial intelligence and network technologies. His primary research areas include Intelligent Informatics, with specific interests in Artificial Intelligence applications for security systems, IoT infrastructure, and Information-Centric Networking. His work bridges theoretical computer science with practical applications in public safety, disaster management, and secure communications. His research demonstrates strong interdisciplinary connections between computer science, electrical engineering, and practical security applications. Analysis of Dr. Qi's publication record (44 papers with 557 Scopus citations and h-index of 12, or 757 Google Scholar citations with h-index of 15) reveals a strong focus on practical applications of AI and blockchain technologies. His most recent work (2023-2024) centers on latency compensation in remote monitoring systems, GNSS spoofing detection using machine learning, and AI-based security screening systems. Earlier work (2021-2022) shows significant contributions to ledger-based point transfer systems for LPWAN networks and image processing techniques for secure data transmission. His research demonstrates a consistent trajectory toward solving real-world problems in security, networking, and IoT applications. Dr. Qi is an active member of professional organizations including the Institute of Electronics, Information and Communication Engineers and IEEE. His research is supported by multiple projects including "Low latency interactive zero latency video/Somatic integrated network" (2022-2024), "Dynamic Secure Network for Traffic and Logistics" (2021-2023), and "Lightweight distributed ledger technology authentication system for LPWA" (2020-2022). These projects reflect his focus on practical applications of his research in real-world scenarios, particularly in disaster management and secure communications infrastructure. He has received consistent research funding that supports both theoretical development and practical implementation of his work. Dr. Qi also contributes to educational initiatives at Waseda University, teaching courses including Data Structure and Algorithms, Human-Technology Interface, and Computerized Society, where he bridges theoretical computer science with practical applications for undergraduate students.

• Image Processing
• Pattern Recognition
• Multi-media
• +3 more

Seiichiro Kamata is a Professor at Waseda University's Faculty of Science and Engineering, specifically within the Graduate School of Information, Production, and Systems. He holds a Doctor of Engineering degree from Kyushu Institute of Technology and maintains an active research laboratory focused on advanced image processing techniques. His professional affiliations include the Institute of Electrical and Electronics Engineers, Institute of Image Information and Television Engineers, Information Processing Society in Japan, and Institute of Electronics, Information and Communication Engineers. Professor Kamata's research spans image processing, pattern recognition, multi-media systems, and signal processing with particular emphasis on deep learning applications. His work bridges theoretical advancements with practical implementations across medical imaging, hyperspectral analysis, and real-time computer vision systems. Recent publications demonstrate his leadership in developing novel neural network architectures for medical diagnostics, video enhancement, and document analysis. His publication record shows consistent high-impact contributions, particularly in medical image analysis (including Alzheimer's disease classification, ADHD diagnosis, and skin lesion detection) and computer vision techniques (including real-time semantic segmentation, visual tracking, and hyperspectral image classification). The research demonstrates a clear trajectory from foundational image processing algorithms toward sophisticated deep learning frameworks. Best Paper Award at ICIPRoB2020 (2020) - Constant-Time Gaussian Filtering Best Paper Award at ICSIPA2019 (2019) - Edge-guided Hierarchically Nested Network Best Paper Award at ICIEV2018 (2018) - Deep Neural Networks with Mixture of Experts Best Paper Award at Image Media Processing Symposium (2017) Best Paper Award at ICARCV2010 (2010) - Fast Polar Harmonic Transforms Professor Kamata's research group maintains a strong publication record with 266 papers and 1,622 citations (h-index: 21) as of September 2025. His work demonstrates consistent innovation in both theoretical foundations of image processing and practical applications across medical diagnostics, robotics, and cultural heritage preservation. The laboratory continues to produce cutting-edge research with recent focus on transformer architectures, multi-modal fusion techniques, and medical AI applications.

• Human Robot Interaction
• Healthcare Robotics
• Wearable Sensors
• +6 more

Tamon Miyake is an Assistant Professor at Waseda University's School of Creative Science and Engineering, specializing in Human Robot Interaction and Healthcare Robotics. His research focuses on wearable sensors, muscle deformation analysis, gait training, and mixed reality systems for rehabilitation applications. Dr. Miyake received his Doctor of Engineering from Waseda University in March 2020. His primary research areas include muscle deformation sensing, gait analysis and training, mixed reality rehabilitation systems, and human-robot interaction for healthcare applications. His work bridges engineering and clinical applications, particularly in physiotherapy training and rehabilitation robotics. His research output demonstrates a strong focus on developing objective measurement systems for clinical applications, particularly in analyzing muscle deformation during physiotherapy and developing training systems that provide quantifiable metrics for skill acquisition. His recent work shows increasing integration of AI and machine learning techniques with traditional biomechanical analysis. His publications reveal a consistent research trajectory focused on improving rehabilitation outcomes through technology, with particular emphasis on gait training, muscle load analysis, and developing objective metrics for physiotherapy practice. His work spans both engineering development and clinical validation studies. Dr. Miyake has been actively involved in the IEEE Robotics and Automation Society as Co-Chair of the Student Activities Committee from 2017-2019, demonstrating his commitment to academic community building.