Find Academic Supervisors

• Multimedia Signal Processing
• Computer Networks
• Communication Engineering
• +3 more

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

• Information Access
• Information Retrieval
• Natural Language Processing
• +3 more

Tetsuya Sakai is a Professor at the School of Fundamental Science and Engineering within Waseda University's Faculty of Science and Engineering. His work focuses on information access, retrieval, and natural language processing, with a particular emphasis on evaluation frameworks for search systems. Affiliations: Waseda University (Faculty of Science and Engineering, School of Fundamental Science and Engineering) Academic Rank: Professor Research Interests : Dr. Sakai's research spans four key areas: (1) Information Access —designing systems for direct and immediate information delivery, (2) Search Evaluation —developing metrics like Height-Biased Gain and hierarchical intent-based diversity measures, (3) Fairness in IR —pioneering frameworks for group fairness in conversational search, and (4) Statistical Reform —advocating Bayesian methods and robust experimental design. His work also addresses privacy inconsistencies in mobile apps and cognitive biases in LLMs. Scientific Awards : Notable recognitions include induction into the SIGIR Academy (2023) , ACM Distinguished Member (2018) , ACM Senior Member (2016) , and multiple DEIM/FIT/CSS Best Paper Awards . He has received teaching honors like the Waseda Presidential Teaching Award (2016) and WASEDA e-Teaching Award (2018) . Article Trends : Recent publications highlight: Advancements in LLM-assisted relevance assessments and hallucination diagnostics for tool-augmented models Conversational search fairness through multi-level evaluation frameworks and group diversity metrics Innovations in 3D medical reconstruction from clinical data and multimodal uncertainty modeling Statistical rigor via randomization tests , credible intervals , and topic set design Privacy analysis in mobile app descriptions and cognitive bias studies in search interaction

• Distributed Systems
• Embedded Systems
• Ubiquitous Computing
• +3 more

NAKAJIMA, Tatsuo serves as a Professor at Waseda University's School of Fundamental Science and Engineering, Department of Computer Network Engineering. Holding a Doctor of Engineering from Keio University, he has been affiliated with Waseda since 1999 after positions at Japan Advanced Institute of Science and Technology (1993-1999), Cambridge University, and Carnegie Mellon University. His academic profile shows substantial research output with 433 papers and 3,338 citations on Scopus, and 7,604 citations with an h-index of 42 on Google Scholar. Dr. Nakajima's research focuses on Distributed Systems, Embedded Systems, and Ubiquitous Computing, with particular emphasis on virtualization architectures for embedded environments. His work bridges theoretical computer science with practical applications in information appliances, operating systems, and persuasive computing technologies. He has developed innovative systems including SPUMONE (a composition kernel for multi-OS environments), SIGMA System, and SPLiT (a performance optimization library for multicore processors). Analysis of his 15 most recent publications reveals a consistent research trajectory centered on enhancing reliability, security, and performance of embedded and pervasive computing systems. His work shows increasing integration of human factors, particularly in sustainable behavior applications through persuasive technology. The research spans from low-level system architecture to user-centered applications, demonstrating both technical depth and practical relevance. Nokia Research Center, Visiting Research Fellow (2005.04) Dr. Nakajima's research has produced numerous practical frameworks including SPUMONE for multi-OS environments, SPLiT for performance optimization, and persuasive applications like EcoIsland for sustainable behavior. His work on kernel monitoring, anomaly detection, and self-healing systems demonstrates strong focus on system dependability. Current research appears directed toward integrating human factors with embedded systems, particularly in environmental sustainability applications. His laboratory work centers around the SPUMONE project, a virtualization layer for multi-core embedded systems that enables multiple operating systems to coexist with minimal engineering cost. This research environment supports exploration of resource management, security monitoring, and performance optimization in embedded contexts. The work has practical applications in information appliances, smart homes, and pervasive computing environments.

• Human–robot interaction
• Spoken language processing
• Image and audio processing
• +3 more

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

• Software Engineering
• Information Security
• Computer Systems
• +5 more

Hironori Washizaki is a Professor at Waseda University's School of Fundamental Science and Engineering, Department of Information and Computer Science, and serves as Director of the Global Software Engineering Laboratory. He also holds a visiting professorship at the National Institute of Informatics and serves as outside director at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., Ltd. With a Doctorate in Information and Computer Science from Waseda University (2003), he has established himself as a leading researcher with 384 publications and an h-index of 36 according to Google Scholar. His research spans multiple domains including software engineering methodologies, security patterns, programming education, and the application of machine learning to software development. His work has significantly contributed to the fields of software patterns, quality assurance, and educational tools for programming. With over 20 years of academic experience, his career progressed from Research Associate (2002-2004) to Assistant Professor (2004-2008), Associate Professor (2008-2016), and Professor (2016-present). Washizaki's recent publications demonstrate a strong focus on applying AI and machine learning techniques to software engineering challenges, including prompt engineering patterns, program repair methods, and vulnerability assessment. His work bridges theoretical research with practical applications in both educational and industrial contexts, particularly in B2B software development and programming education for diverse age groups. KDDI Foundation Award (2022) Spirit of the Computer Society Award (2022) Distinguished Contributor, IEEE Computer Society (2022) IEEE Computer Society Golden Core Member (2022) Fellow, International Academy, Research, and Industry Association (2022) Computer Research Contribution Award, APSCIT (2016) Washizaki has served as chair of the IEEE CS Japan Chapter and SEMAT Japan Chapter, director of ACM-ICPC 2014 Asia Regional Tokyo Contest, and Convenor of ISO/IEC/JTC1/SC7/WG20. His editorial work includes positions at IEICE Transactions on Information and Systems and International Journal of Software Engineering and Knowledge Engineering. His leadership extends to programming education initiatives like SamurAI Coding, demonstrating his commitment to developing the next generation of software engineers.

• Smart Grid
• Power Systems
• Power Generation Planning
• +3 more

Kuniaki Yabe is an Associate Professor at Waseda University's Research Institute for Advanced Networked and Collaborative Research Organization for Smart Society (RIANT, ACROSS) since August 2016. He also holds a concurrent position as a Visiting Professor at Tokyo University of Agriculture and Technology since April 2014. His academic career follows extensive industry experience at Tokyo Electric Power Company where he worked from 1980 to 2009 in various technical and management roles. Education: Ph.D. in Engineering (2012.03) from Tokyo University of Agriculture and Technology Bachelor's degree in Electrical Engineering from The University of Tokyo (1975-1980) Research Interests: Professor Yabe specializes in power systems engineering with a focus on smart grid technologies, power system operation and planning, renewable energy integration, storage battery systems, and economical evaluation of energy systems. His work addresses critical challenges in transitioning to sustainable energy systems while maintaining reliability and economic efficiency. Research Trends: Professor Yabe's recent publications (2017-2024) demonstrate a strong focus on integrating renewable energy sources into power systems, with particular emphasis on battery storage solutions, hydrogen energy systems, and policy mechanisms like CO 2 reduction surcharges. His work combines detailed power system modeling with economic and environmental analysis to provide comprehensive evaluations of energy transition pathways, with significant attention to frequency control requirements and curtailment issues in high renewable penetration scenarios. Professional Activities: Member of Japan Society of Energy and Resources Member of Japan Society for Simulation Technology Member of The Institute of Electrical Engineers of Japan Former board member and vice president of Japan Society for Simulation Technology (2006-2012) Former board member and vice president of Japan Society for Applied Mathematics (2005-2012) Current Projects: Professor Yabe is involved in research projects related to renewable energy integration, including work with NEDO on "Advanced Measures for Renewable Energy Grid Connection Expansion" (2016-2018). He also serves as a Concurrent Researcher at Waseda Center for a Carbon Neutral Society (2024-2026) and teaches "Advanced Electrical Energy Systems" at Waseda University's Graduate School of Advanced Science and Engineering.

• Fluid Engineering
• Fluid Machinery
• Cavitation
• +3 more

Kazuyoshi Miyagawa is a Professor at Waseda University's Department of Applied Mechanics and Aerospace Engineering within the Faculty of Science and Engineering, School of Fundamental Science and Engineering. With a Doctor of Engineering from Osaka University, he has maintained a continuous academic career at Waseda University since 2011, progressing from Associate Professor to full Professor. His educational background includes undergraduate and graduate studies in Mechanical Engineering at Waseda University, followed by specialized research at Osaka University's Graduate School of Engineering Science. Professor Miyagawa's research focuses on Fluid Engineering, Fluid Machinery, Cavitation, and Flow Induced Vibration . His work bridges theoretical fluid dynamics with practical applications in turbomachinery, particularly in hydraulic turbines, pumps, and rocket turbopumps. His research demonstrates a consistent emphasis on improving efficiency, stability, and reliability of fluid machinery through innovative design and thorough understanding of complex flow phenomena. His extensive publication record (107 papers with 683 Scopus citations and 1543 Google Scholar citations) reveals a strong focus on draft tube flow in hydraulic turbines, cavitation phenomena, and unsteady flow characteristics in various turbomachinery applications. His recent work shows increasing attention to computational fluid dynamics validation through experimental methods and practical engineering solutions for flow instability problems. Scientific Awards Multiple Technical and Paper Awards from the Turbomachinery Society of Japan (2001-2021) Recognition for development of new water turbines, high-efficiency turbochargers, and low-noise pumps Research on Francis turbine performance and cavitation phenomena Professor Miyagawa actively contributes to the engineering community through leadership roles including President of the Turbomachinery Society of Japan (2023-present) and Board Director of The Japan Federation of Engineering Society (2025-present). His professional memberships span multiple international and Japanese engineering societies including ASME, IAHR, and The Japan Society of Mechanical Engineers.

• 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.

• 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.

• Energy management systems
• Power engineering
• Renewable energy integration
• +5 more

Professor Yasuhiro Hayashi is a distinguished academic at Waseda University's School of Advanced Science and Engineering, where he serves as Professor in the Faculty of Science and Engineering and Director of the Smart Society Technology Integration Research Institute (ACROSS). He holds leadership positions including Vice President of the Institute of Electrical Engineers of Japan (since 2025.06) and Chair of the Utsunomiya Zero Carbon Promotion Council (since 2023.02). His educational background includes a Ph.D. from Waseda University (1993), following undergraduate and graduate studies at the same institution. Prior academic appointments include Associate Professor at University of Fukui (2000-2009) and Lecturer at Ibaraki University (1997-2000). Professor Hayashi's research focuses on energy management systems, power engineering, and renewable energy integration. His work spans critical areas including optimization of advanced electrical energy systems, cooperative operation and control of distributed generation, photovoltaic systems integration, CO2 emissions reduction, and climate change mitigation. He has made significant contributions to smart grid technology, demand-side management, and zero-carbon transition initiatives, with particular emphasis on practical implementation through smart meter data analysis and real-world demonstration projects. His publication record is extensive, with 365 papers according to Scopus (citation count: 3,423, h-index: 27) and even more according to Google Scholar (citation count: 12,332, h-index: 51, i10-index: 253). His recent work demonstrates strong focus on practical applications of smart meter data for urban carbon intensity analysis, electric transportation integration, and advanced control strategies for distributed energy resources in real distribution networks. Best Paper Award from Big Earth Data Journal (2024) Best Paper Award for 'Development of Evaluation Process for Demand-Side Resilience against Power Outage' (2023) The Commendation for Science and Technology by the Minister of Education (2019) Multiple Waseda Research Awards (2014-2019) Distinguished Paper Award from the IEE of Japan (2008) Professor Hayashi serves on numerous high-impact committees including as Special Commissioner of the Electricity and Gas Trading Surveillance Commission under METI, Chair of the Energy-Resource-Aggregation-Business-Forum at ACROSS, and leadership roles in developing Japan's smart grid standards and distributed energy resource policies. His work bridges academic research with practical policy implementation in Japan's energy transition, with recent focus on sector coupling between transportation and energy systems, advanced data analytics for grid operations, and practical implementation strategies for achieving Net Zero emissions in urban environments.

• Rehabilitation Engineering
• Health Care Engineering
• Robotics
• +3 more

Keiko Homma is a Professor at the Graduate School of Fundamental Science and Engineering , Waseda University, with a career focused on Rehabilitation Engineering , Health Care Engineering , and Robotics . She previously served as a Senior Researcher at the National Institute of Advanced Industrial Science and Technology (AIST) from 2018 to 2023. Research Areas : Robotics, Mechatronics, Safety Engineering, Welfare Technology Grants : Multiple Japan Society for the Promotion of Science (JSPS) grants for studies on passive motion devices and assistive robotics Her work addresses assistive robotics for elderly care, including safety evaluation tools, IoT-integrated orthotic devices, and humanoid robotic simulators. She has collaborated across disciplines with institutions like AIST and TOTO, emphasizing trustworthy AI and human-centered design . Her research integrates sensor systems , biomechanical analysis , and ethical frameworks for robotic applications in healthcare. Professional Memberships: IEEE Japanese Society for Wellbeing Science and Assistive Technology Society of Biomechanisms Japan Japan Society for Precision Engineering

• Kansei informatics
• Soft computing
• Colour emotion
• +6 more

Keiichi Muramatsu is Associate Professor (tenure-track since 2025) at Waseda University’s Global Education Center, Japan. Holding a Doctor of Human Sciences from Waseda, he has successively served as Assistant Professor at Saitama University and as part-time Lecturer at Bunkyo University. He is an active member of the Japan Society of Kansei Engineering, the Japanese Society for Artificial Intelligence and the Color Society of Japan. Education: Doctoral Program, Human Sciences, Waseda University (2009-2014) Master’s Program, Human Sciences, Waseda University (2007-2009) Bachelor, Department of Human Informatics and Cognitive Sciences, Waseda University (2003-2007) Research interests: Muramatsu integrates Kansei informatics and soft computing to quantify human emotional and aesthetic responses. His work spans colour-emotion modelling for lighting and butterfly aesthetics, bio-signal driven emotion recognition using chaotic fingertip plethysmography, and gait classification via deep learning for personalised rehabilitation and stumble prevention. He also develops ontological frameworks to share emotional knowledge across educational and product-service system design domains. Publication trends: Across 62 Scopus papers (h-index 7), Muramatsu’s recent outputs demonstrate a convergence of affective engineering and AI: convolutional networks visualise gait features for training feedback, neural predictors estimate learner states in intelligent tutoring systems, and psychophysiological models link colour, fragrance and 3-D sound to emotional dimensions. Studies consistently combine subjective evaluations with objective indices such as fNIRS, skin conductance and chaotic exponents. Grants & industry links: He has led JSPS KAKENHI grants and internal Waseda special research projects, collaborated with Toyota on driver affective scales, and contributed to exoskeleton development with Saitama medical device firms. His work on LED automotive lighting and mobility-scooter stress evaluation reflects ongoing industry knowledge transfer. Advising & labs: While specific student names are not disclosed, Muramatsu supervises graduate research on gait-assistive devices, emotion recognition wearables, and ITS architectures within the Global Education Center’s interdisciplinary environment.

• Wireless Communication
• Mobile Networks
• Energy Efficiency in Communication Systems
• +3 more

Megumi Saito is an Assistant Professor at the Faculty of Science and Engineering , Global Information and Telecommunication Institute , specializing in wireless communication and energy-efficient network design. Her work focuses on Device-to-Device (D2D) communication solutions for battery stress mitigation and network reliability. Research Themes : D2D-based communication recovery during network failures Virtual battery resource sharing in 5G networks Ultra-low latency protocols for terminal communication Energy-saving methods for IoT and mobile devices Her research demonstrates how D2D communication can extend device battery life while addressing operator load fairness and network congestion. Publications span 5G applications, simulation-based performance validation, and experimental analysis of LTE-D2D power consumption differences. No scientific awards or student advisement details are explicitly mentioned in the provided texts.

• Operations Research
• Reliability Engineering
• Bayesian Statistics
• +2 more

Yu Hayakawa is a Professor at Waseda University since 2007, affiliated with the School of International Liberal Studies and the Faculty of International Research and Education. He holds a PhD in Operations Research from the University of California at Berkeley, an MSc in Mathematics from Illinois State University, and a BA in Elementary School Education from Hiroshima University. His career includes roles at Victoria University of Wellington (1992-2004) and Waseda University. Doctor of Philosophy (1986-1992), University of California at Berkeley, College of Engineering, Operations Research Master of Science (1983-1986), Illinois State University, Department of Mathematics Bachelor of Education (1978-1983), Hiroshima University, Faculty of School Education Hayakawa’s research centers on Operations Research and Reliability Engineering , with a focus on Bayesian statistical methods , stochastic processes , and warranty cost analysis . His work includes modeling alternating geometric processes for warranty costs, nonparametric Bayesian hazard rate estimation , and dependent failure analysis in multicomponent systems. Key contributions involve delayed reporting of warranty faults , non-zero repair time modeling , and stochastic epidemic models for fault detection. His recent projects include a non-parametric Bayesian approach to hazard function modeling (2018-2020) and generalized alternating renewal processes for warranty cost analysis. He collaborates extensively with international researchers like Richard Arnold, Stefanka Chukova, and Sarah Marshall, with publications spanning journals such as Reliability Engineering & System Safety and IEEE Transactions on Reliability . He has also explored finite mixture models for failure time and severity analysis, presenting at conferences like the Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM). Hayakawa’s scientific contributions include developing models for imperfect warranty repairs, damage accumulation in multicomponent systems, and Bayesian methods for capture-recapture estimation. He has served as President (2023-2025) and Vice-President (2020-2023) of the Reliability Engineering Association of Japan and holds memberships in IEEE and the Operations Research Society of Japan. His overseas activities include research at Victoria University of Wellington (2011-2012, 2016) and collaborations on system reliability and stochastic process modeling . Advising and Grants: Hayakawa has mentored students like Yan Liu (PhD student) and Yimo Xu (undergraduate). His research is supported by grants from the Japan Society for the Promotion of Science, including New models for failures in multi-component systems (2013-2014) and Non-parametric Bayesian modeling of system reliability (2018-2020). He also worked on robustness measures for telecommunications networks (1993-1994) in New Zealand.

• Power Systems
• Smart Grid
• Renewable Energy Integration
• +3 more

Hideo Ishii is a Professor at Waseda University's Faculty of Science and Engineering and a Concurrent Researcher at the Waseda Center for a Carbon Neutral Society (2024-2026). He teaches graduate courses across the Graduate Schools of Fundamental Science and Engineering, Creative Science and Engineering, and Advanced Science and Engineering, covering power systems, energy materials, and international standardization. His research specializes in electrical power systems with emphases on smart grid infrastructure, demand response optimization for residential appliances, and photovoltaic integration challenges. Key investigations include voltage control methodologies for renewable-heavy distribution networks, communication protocols for grid automation, and household energy flexibility modeling to enhance grid stability during energy transitions. Publication analysis shows consistent contributions to power system modernization, with 2020 work on laundry appliance demand response building upon 2016 smart grid communication demonstrations and 2012 experimental PV voltage control research. This trajectory reflects sustained focus on practical grid solutions balancing renewable adoption and system reliability. Through the Waseda Center for a Carbon Neutral Society, Professor Ishii advances decarbonization research while educating engineers via specialized courses like Power Resource Optimization and Technological Excellence seminars that integrate technical rigor with global standardization frameworks.