Find Academic Supervisors

• High-energy Astrophysics
• Medical Physics
• Radiological Sciences
• +7 more

Jun KATAOKA is a Professor at Waseda University's Faculty of Science and Engineering, School of Advanced Science and Engineering, where he leads cutting-edge research at the intersection of high-energy physics, medical imaging, and radiation detection. He serves as Research Director for the JST Strategic Basic Research Programs (ERATO) 'Kataoka Line X-ray Gamma-ray Imaging' project and maintains an active research laboratory (SPXG Laboratory) focused on developing novel imaging technologies. Dr. KATAOKA earned his Doctor of Science from the University of Tokyo, completing his entire academic training in the Department of Physics, Faculty of Science. His educational background spans from undergraduate studies (1991-1995) through doctoral work (1997-2000), establishing a strong foundation in fundamental physics that informs his interdisciplinary research approach. His research program focuses on three interconnected domains: High-energy Astrophysics : Development of compact gamma-ray detectors for small satellite platforms to explore the MeV gamma-ray band, including discoveries of galactic-scale bubbles towering over the Milky Way Medical Physics : Creation of activation imaging techniques for tracking gold nanoparticles in vivo, enabling long-term visualization of drug distribution and pharmacokinetics Radiation Detection Technology : Innovation in Compton cameras, spectral CT systems, and prompt radiation imaging for applications in proton/carbon-ion therapy monitoring and nuclear decommissioning efforts His laboratory has achieved notable breakthroughs including the world's lightest (580g) palm-sized gamma-ray camera and techniques for visualizing cesium distribution using drone-mounted systems. Dr. KATAOKA's scientific contributions have been recognized with Japan's highest research honors, including the 2024 Commendation for Science and Technology from MEXT. His work has received extensive media coverage in outlets including Nikkei Newspaper, AIP, and Quanta Magazine, particularly for demonstrations of 'radioactivation imaging' technology that tracks gold nanoparticles in living organisms. His research has practical applications in cancer therapy, space exploration, and environmental remediation following nuclear incidents. As principal investigator of major research projects including JST ERATO and collaborations with JAXA, Dr. KATAOKA has secured substantial funding for interdisciplinary research. His laboratory serves as a hub connecting physicists, engineers, and medical researchers, with strong partnerships extending to space agencies, medical institutions, and national research organizations both in Japan and internationally. The SPXG Laboratory (http://www.spxg-lab.phys.waseda.ac.jp/) continues to push technological boundaries with recent developments in alpha particle trajectory imaging and multi-modal beam monitoring systems for radiation therapy.

• Computer Architecture
• Parallel Computing
• Compiler Technology
• +3 more

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.

• 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.

• Biomedical Engineering
• Medical Physics
• Electromagnetic Field Safety
• +4 more

Hirata Akimasa is a Professor at Osaka University's College of Engineering, Department of Communications Engineering, and affiliated with the Advanced Medical Physics and IT Research Center. His work bridges biomedical engineering , electromagnetic safety , and neuroscience . Degree: Doctor of Engineering (Osaka University, 2000) External Career: Researcher at University of Victoria (1999) Research Focus : Electromagnetic wave effects on human physiology Thermal stress and heatstroke risk assessment Machine learning for personalized brain stimulation Computational anatomy and dosimetry Article Trends : Recent work spans neural stimulation , millimeter-wave safety , thermal modeling , and machine learning applications , emphasizing electromagnetic compatibility , neurophysiology , and environmental health . Scientific Recognition : 2024: Minister of Education, Culture, Sports, Science and Technology Award 2023: IEEE Fellow 2022: Japan Open Innovation Award 2018: Japan Academy Medal Grants & Collaborations : Multiple JSPS grants (2001-2025), including basic science research (2011) and bioelectromagnetics (2014). Collaborated with IEEE, WHO, and ICNIRP committees.

• Medical Informatics
• Statistical Science
• Bioinformatics
• +5 more

Dr. Masato Inoue is a Professor at the Faculty of Science and Engineering , School of Advanced Science and Engineering at Waseda University. He holds a Doctor of Medical Science from Kyoto University. Education: 2003 - Kyoto University Graduate School of Medicine 2003 - Kyoto University His research spans multiple disciplines at the intersection of Medical Informatics , Bioinformatics , and Statistical Mechanics . Key areas include: Medical Imaging : Developing Bayesian super-resolution algorithms and Prior Ensemble Learning for improved MRI reconstruction Voice Analysis : Creating innovative voice quality quantification systems for clinical diagnostics Genetic Analysis : Advancing haplotype inference methods and gene network modeling Signal Processing : Applying statistical mechanics to diverse problems from coding theory to neuroscience His recent publications (2021-2012) demonstrate consistent contributions to medical imaging algorithms , voice disorder classification , and genetic data analysis . Notable collaborations include work with Kyoto University researchers , Swedish medical institutions , and cross-disciplinary teams in bioengineering.

• Human-Computer Interaction
• Interaction Design
• User Interface Design
• +4 more

Tomoko Hashida is a Professor at Waseda University's School of Fundamental Science and Engineering , where she explores the intersection of Human-Computer Interaction , Interactive Media , and Speculative Design . Her work bridges art , technology , and psychological insight , focusing on interfaces that challenge conventional human-environment relationships. Education: PhD in Interdisciplinary Information Studies (The University of Tokyo), MSc in Interdisciplinary Information Studies (The University of Tokyo), BA in Musicology (Tokyo University of the Arts) Hashida's research centers on redefining interaction through systems that reveal hidden aspects of familiar environments. Key projects include: Floatio : Levitating tangible interfaces rapoptosis : Self-destructive prototyping Photochromic Sculpture : Light-reactive 3D displays Peaflet : Personalized museum souvenirs atmoRefractor : Heat haze-controlled spatial visuals Her publications across ACM , SIGGRAPH , and Virtual Reality Society of Japan journals demonstrate a commitment to innovative display technologies and human-centric design . Awards like the Funai Academic Award and Entertainment Computing Best Paper recognize her contributions to interactive experiences . She has contributed to 15 major publications between 2015-2019, spanning disciplines from computer science to art-science synthesis .

• Cognitive Science
• Conversation Analysis
• Gesture Studies
• +7 more

Hiromichi Hosoma is a Professor at Waseda University's Faculty of Letters, Arts and Sciences, where he has been teaching since 2019. Previously, he was affiliated with The University of Shiga Prefecture's School of Human Cultures from 1995 to 2019. He holds a Doctor of Science degree from Kyoto University Graduate School and specializes in the study of human interaction through bodily movements, gestures, and multimodal communication. Professor Hosoma's research focuses on how multiple people coordinate their bodily movements and spatial awareness in various settings including daily conversations, traditional performing arts, and caregiving situations. His work spans cognitive science, social psychology, linguistics, and social welfare, with particular attention to interaction analysis, conversation analysis, gesture studies, onomatopoeia, and elderly care. He investigates how speech and gesture work together to create shared understanding in social contexts, examining phenomena from mundane activities like card games and page-turning to specialized settings like tap dance instruction and dementia care. His scholarly output reveals a consistent focus on multimodal interaction across diverse contexts, with recent work examining latency in telecommunication, weight representation through touch, and deaf-hearing interaction in dance instruction. His publications demonstrate an interdisciplinary approach that bridges cognitive science with practical applications in healthcare and cultural analysis. Professor Hosoma has secured multiple research grants from the Japan Society for the Promotion of Science, including his current project on home care for elderly people with dementia (2025-2028). He is an active member of the Japanese Cognitive Science Society, Qualitative Research in Psychology, and the Japanese Association of the Sociolinguistic Sciences, contributing to both academic discourse and public understanding through book reviews and media commentary on manga, animation, and visual culture.

• Molecular Biology
• Chromosome Distribution
• Spindle Apparatus
• +7 more

Professor Yasuhiko Terada is a distinguished molecular biologist at Waseda University's School of Advanced Science and Engineering, Department of Chemistry. With a PhD and extensive research experience, he leads investigations into chromosome distribution mechanisms, spindle apparatus function, and cancer development pathways. His laboratory focuses on the molecular mechanisms underlying chromosomal instability and mitotic regulation. Faculty of Science and Engineering, School of Advanced Science and Engineering Professor specializing in molecular biology and cancer mechanisms Principal investigator for JSPS-funded research on mitosis-specific chromosomal instability (2022-2025) Previously led research on Naked mole-rat longevity and cancer resistance mechanisms (2011-2013) Terada's research primarily investigates the molecular machinery of cell division, with particular emphasis on chromosomal passenger proteins including Aurora kinases and their regulatory networks. His work has established critical connections between centrosome function, microtubule dynamics, and chromosomal stability. Key research areas include the role of Cep169 in centrosome-microtubule interactions, Aurora B kinase regulation at centromeres, and the mechanisms linking mitotic errors to cancer development. His laboratory employs advanced cell biological, biochemical, and proteomic approaches to dissect these complex processes. Analysis of Professor Terada's publication record reveals a consistent focus on mitotic regulation mechanisms spanning two decades. His work demonstrates an evolution from fundamental studies of Aurora kinases and chromosomal passenger proteins toward more complex investigations of tension-sensing mechanisms at centromeres and the role of centrosomal proteins in maintaining genomic stability. The research shows increasing sophistication in experimental approaches, incorporating advanced proteomics, live-cell imaging, and structural analyses to understand how mechanical forces and biochemical signals integrate during cell division. Professor Terada's significant research impact is evidenced by his substantial citation metrics: 2,911 citations with h-index 23 on Scopus, and 4,127 citations with h-index 24 and i10-index 32 on Google Scholar. These metrics reflect the importance of his contributions to understanding mitotic regulation and chromosomal instability mechanisms. As an educator, Professor Terada mentors numerous graduate students through thesis supervision and specialized courses in molecular biology and biochemistry. His research program includes substantial grant funding from the Japan Society for the Promotion of Science, supporting investigations into mitosis-specific chromosomal instability and previously exploring the remarkable cancer resistance mechanisms of Naked mole-rats. His laboratory maintains active collaborations across multiple institutions, contributing to both basic science and potential therapeutic applications targeting mitotic machinery in cancer. Professor Terada's laboratory maintains active research programs focused on centrosome biology, microtubule dynamics, and the molecular mechanisms connecting mitotic errors to cancer development. His team employs cutting-edge techniques including advanced microscopy, proteomics, and chemical biology approaches to investigate how mechanical forces and biochemical signals integrate during cell division. The research has significant implications for understanding cancer mechanisms and developing novel therapeutic strategies targeting mitotic machinery.

• Signal Processing
• Machine Learning
• Optimization
• +7 more

Hiroyuki Kasai is a Full Professor at the School of Fundamental Science and Engineering, Waseda University, where he leads research in signal processing, machine learning, and optimization. He holds a B.Eng. (1996), M.Eng. (1998), and Dr.Eng. (2000) in Electronics, Information, and Communication Engineering from Waseda University. His career includes positions as Associate Professor and Professor at the University of Electro-Communications (2007-2019), Senior Policy Researcher at Japan's Cabinet Office (2011-2013), and visiting roles at Technical University of Munich and British Telecom. His research spans: Fundamental methodologies : Riemannian optimization, stochastic gradient algorithms, tensor decomposition Applied domains : Network analysis, multimedia systems, environmental sound processing, video coding Emerging areas : Low-rank modeling, manifold learning, and large-scale anomaly detection His publications focus on efficient algorithms for high-dimensional data, with recent work emphasizing Riemannian manifold optimization and real-time tensor analysis. This includes development of open-source tools like SGDLibrary (MATLAB) and McTorch (PyTorch) for optimization tasks. Awards include: IEEE ICCE Best Paper Award (2011) Yamashita Memorial Award (2003) Ericsson Young Scientist Award (2001) 電気通信普及財団賞 (2015) IEICE Service Recognition Award (2010) He maintains memberships in IEEE, IEICE, IPSJ, and JSIAM, and has contributed to over 100 peer-reviewed publications with significant citation impact (h-index 27 via Google Scholar).

• 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.

Yu SaikiView profile

Associate Professor

• Thermal Engineering
• Fluid Engineering
• Combustion Science
• +4 more

Yu Saiki serves as Associate Professor in the Department of Mechanical Engineering at Nagoya Institute of Technology's Graduate School of Engineering. His research focuses on thermal/fluid engineering with specialization in combustion science, plasma diagnostics, and decarbonization technologies for industrial applications. Dr. Saiki earned his Master of Engineering (2006) and Doctor of Engineering (2009) from The University of Tokyo, following undergraduate studies in Mechanical Engineering at Nagoya University (graduated 2004). His academic journey reflects deep specialization in thermal fluid systems. His research interests span Thermal Engineering , Fluid Engineering , and Combustion Science with emphasis on radical surface reactions, microscale combustion, and decarbonization of industrial thermal processes. Current projects include ammonia/hydrogen combustion for metal processing and plasma-based surface modification techniques. Analysis of his recent publications reveals strong focus on radical-surface interactions (70% of works), decarbonization technologies (20%), and advanced diagnostics (10%), with increasing industry collaboration for practical applications. Combustion Society of Japan Encouragement Award (2019) Nagoya Institute of Technology Excellent Faculty Evaluation Award (2017) Combustion Society of Japan Paper Award (2016) Japan Society of Mechanical Engineers Encouragement Award (2014) Dr. Saiki leads significant research funding including NEDO's Green Innovation Fund Project (2023-2032) on thermal process decarbonization and multiple JSPS grants. He actively serves on committees for the Combustion Society of Japan (Colloquium Chair), Japan Society of Mechanical Engineers, and Japan Heat Transfer Society. His laboratory collaborates with DENSO Corporation on particle velocity measurements and jet flow control.

• Nuclear Engineering
• Measurement Techniques
• Non-Destructive Testing
• +3 more

Yuan Chen is a researcher at the Institute of Science Tokyo , focusing on advanced measurement techniques for nuclear engineering and environmental applications. Their work integrates Laser-Induced Breakdown Spectroscopy (LIBS) and Ultrasonic Velocity Profiler (UVP) for remote elemental analysis and flow visualization. Primary focus on nuclear reactor inspection and soil analysis Collaborations with Hiroshige Kikura, Hideharu Takahashi, and international teams Developing robotic systems for hazardous environments Research Trends : Recent publications (2022-2025) emphasize: Remote sensing for nuclear fuel debris analysis LIBS-UVP hybrid systems for multiphase flow measurement Soil elemental analysis for smart agriculture Robotic arms equipped with advanced sensors Key techniques: Laser spectroscopy, ultrasonic imaging, flow visualization algorithms, sensor fusion. Applications span nuclear decommissioning (e.g., Fukushima) and environmental monitoring.

• Museology
• Cultural assets study
• History of arts
• +3 more

Motoko Inoue is an Associate Professor at Waseda University's Center for Research Strategy since 2025. Previously, she served as a Senior University Research Administrator at Tokyo Institute of Technology (2018-2024) and held similar roles at National Institutes for Cultural Heritage and Tokyo National Museum. She earned her Pf.D. in Art and Design from University of Tsukuba. Specializes in Museology, Cultural Assets Study, and History of Arts Active in research management and cross-disciplinary collaboration Research Focus Inoue investigates: Modern educational Ukiyo-e prints and their role in Meiji-period pedagogy Cultural heritage disaster prevention strategies Cross-disciplinary research administration frameworks Publications & Research Trends Her scholarly work shows strong interest in: Meiji-era art education through printed media Preservation techniques for disaster-affected cultural properties Historiographical analysis of educational print iconography Scientific Awards 2024 Research Administrator Duty Award (Tokyo Institute of Technology) 2023 Research Administrator Duty Award (Tokyo Institute of Technology) 2020 Research Administrator Duty Award (Tokyo Institute of Technology) Certificate of Outstanding Academic Achievement Award (University of Tsukuba, 2013) Professional Contributions Inoue has: Authored educational materials on cultural heritage disaster prevention Presented extensively at RA Association conferences Contributed to cultural policy discussions in Japan