جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Earthquake Engineering
• Civil Engineering Materials
• +۵ مورد دیگر

Mitsuhiko Ozaki is an Assistant Professor at Waseda University's School of Creative Science and Engineering, Faculty of Science and Engineering. He earned his Doctor of Engineering (Dr.Eng.) degree from Waseda University in March 2025. His academic appointment began in April 2025, and he is actively engaged in research and teaching within the field of structural engineering with a focus on concrete structures and FRP reinforcement technologies. Dr. Ozaki's educational background culminates in his recently awarded Doctor of Engineering degree from Waseda University. His doctoral research likely focused on structural engineering topics related to his current research interests. Dr. Ozaki's research focuses on structural engineering and earthquake engineering , with particular emphasis on civil engineering materials, execution, and construction management . His specific research interests include concrete structures and composite structures , with a strong focus on FRP (Fiber Reinforced Polymer) reinforcement techniques for concrete structures. His work addresses critical challenges in structural repair and strengthening, particularly for deteriorated concrete infrastructure. He has developed innovative approaches for analyzing and predicting debonding behavior between FRP sheets and concrete, as well as methods for improving bond strength using specialized resins and primers. His research integrates advanced computational methods, including finite element analysis and neural networks, to solve complex structural engineering problems. Dr. Ozaki's publication record demonstrates a strong focus on practical applications of FRP reinforcement technologies for concrete structures. His recent work shows a progression from fundamental studies of bond mechanics to more complex applications involving corroded structures and AI-assisted prediction models. A notable trend in his research is the integration of traditional structural engineering principles with modern computational techniques, particularly in using neural networks with mechanical interpretations for structural prediction. His work has significant implications for extending the lifespan of existing concrete infrastructure through innovative repair and strengthening methodologies. Annual Academic Lecture Excellent Presenter Award (2024) - Japan Society of Civil Engineers Annual Paper Encouragement Award (2023) - Japan Concrete Institute Annual Paper Encouragement Award (2021) - Japan Concrete Institute Annual Academic Lecture Excellent Paper Award (2020) - Japan Society of Civil Engineers JSCE Structural Engineering Paper Collection Vol.66A Paper Award (2020) - Japan Society of Civil Engineers Aoki Prize (2020) - Waseda University School of Creative Science and Engineering Dr. Ozaki is actively involved in multiple research projects funded by prestigious organizations including the Ministry of Land, Infrastructure, Transport and Tourism's Kanto Regional Development Bureau, the Japan Society for the Promotion of Science (JSPS), and the Japan Science and Technology Agency (JST). His current projects focus on developing FRP sheet reinforcement systems for concrete bridges, creating unmanned inspection systems for underground tunnels using amphibious drones, and advancing shear strength evaluation methods for FRP-reinforced members. While specific student advising information isn't provided in the available data, his teaching responsibilities suggest he likely mentors students in structural engineering and concrete technology. Dr. Ozaki is a member of several professional organizations including the Japan Society of Civil Engineers (since 2020), the Japan Concrete Institute (since 2021), and the Prestressed Concrete Engineering Society (since 2021). He serves on committees related to concrete engineering standards and FRP reinforcement research. His work on FRP reinforcement systems represents a significant contribution to the field of structural repair and strengthening, with potential applications in extending the service life of aging concrete infrastructure worldwide.

• Control Systems
• Energy Management
• Distributed Optimization
• +۴ مورد دیگر

Yutaka Iino serves as an Associate Professor at Waseda University's Advanced Collaborative Research Organization for Smart Society (ACROSS) and Research Institute for Advanced Network Technology (RIANT). With over 35 years of professional experience, he transitioned from a long career at Toshiba Corporation (1984-2018) where he worked on energy management and energy-saving technologies, to his current academic position focusing on smart society element technologies including power, transportation, and information systems. Doctor of Engineering from Tokyo Institute of Technology (2015) Master's in Electrical Engineering from Waseda University (1984) Bachelor's in Electrical Engineering from Waseda University (1982) Professor Iino's research focuses on control and system engineering with particular emphasis on energy management systems and distributed optimization. His work bridges theoretical control systems with practical applications in smart grids, electric transportation, and distributed energy resources. He has pioneered approaches in decentralized optimization, modeling techniques for energy systems, and demand science applications in power networks. His research interests include Di-centralized and distributed optimization, Distributed Energy Resource management, System Control Theory, and Demand Science. Analysis of his recent publications reveals a strong focus on practical applications of distributed energy resources, particularly in the context of electric buses, photovoltaic integration, and grid congestion management. His work demonstrates a consistent trajectory toward developing market-oriented solutions for energy systems, with increasing emphasis on machine learning techniques for parameter optimization and federated learning for smart inverter control. The research spans multiple domains including electrical engineering, transportation systems, and control theory, with a clear practical orientation toward solving real-world energy challenges. SICE Paper Award, No.1995 for 'Cyber-physical Optimal Traffic Signal Control Based on a Macroscopic Traffic Model and Its Verification Using Microscopic Traffic Simulator' Best Paper Award of IEEJ Transactions on Electrical and Electronic Engineering 2021 for 'Evaluation of Mutual Effect between Power and Traffic Aiming Electrified Urban Transportation System Using Integrated Light Rail Transit and Distribution System Model' Professor Iino has secured research funding through Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research, including current projects on cooperative next-generation distribution system operation methods for mass introduction of photovoltaic power generation (2023-2027) and hybrid model analysis methods with data and physical models for automatic energy analysis (2020-2023). His committee memberships include roles in IEEE, Japan Society of Energy and Resources, The Institute of Electrical Engineers of Japan, and The Society of Instrument and Control Engineers (where he holds Fellow status). At Waseda University, Professor Iino contributes to the research ecosystem through the Advanced Collaborative Research Organization for Smart Society, where he leads efforts in developing practical energy management solutions that bridge theoretical control systems with real-world applications in smart grids and transportation electrification. His work exemplifies the integration of academic research with industry applications, leveraging his extensive industrial experience at Toshiba to inform his current academic pursuits.

• Orthopedics
• Rehabilitation science
• Sports sciences
• +۵ مورد دیگر

Toshihiro Maemichi serves as an Assistant Professor at the Faculty of Sport Sciences, Waseda University , with additional affiliations at Surugadai University and Toyo University. His research spans orthopedic biomechanics, rehabilitation science, and sports injury prevention, focusing on foot morphology, heel fat pad mechanics, and neuromuscular adaptations in athletes. Education: PhD and MA in Sports Science from Waseda University (2019, 2022) Professional Memberships: Japanese Society of Clinical Sports Medicine, All Japan Acupuncture and Moxibustion Society, Japanese Society for Foot Surgery Key research themes include: Foot and ankle biomechanics in swimmers, dancers, and athletes Effectiveness of myofascial release techniques (flossing, electroacupuncture) Lifestyle influences on pediatric foot development Injury epidemiology in university women's soccer and adolescent athletes His 15 most recent publications (2023-2025) cover topics like ultrasound-based injury diagnostics , heel pad compressibility , and joint range of motion improvements , with methodological emphasis on ultrasonography, electromyography, and DXA scanning. Notable awards include the Best Paper Award (Japanese Society of Clinical Sports Medicine, 2022) and Outstanding Research Award (Japan Training Instructors Association, 2021). Current work investigates load-induced tissue changes and preventive strategies for high-risk sports injuries , particularly in baseball players and dancers. Collaborations include orthopedic surgeons, sports physiologists, and DXA imaging experts.

• Statistical Science
• Quality Control
• Robust Parameter Design
• +۳ مورد دیگر

Yasushi Nagata is a Professor at Waseda University's School of Creative Science and Engineering. With a Doctor of Engineering from Osaka University, he specializes in statistical quality control, Taguchi methods, and multivariate analysis. Key affiliations: Japan Society for Quality Control Japan Statistical Society Japan Behaviormetrics Society Research Interests: His work focuses on advancing Taguchi's robust parameter design, Mahalanobis-Taguchi systems, and statistical anomaly detection. He has developed novel methods for handling missing data, high-dimensional datasets, and non-normal distributions in quality control contexts. Scientific Awards: He has received multiple Best Paper Awards at ANQ Congresses (2017-2024) Deming Prize for Individuals (2019) Waseda University Teaching Awards (2018, 2022) Nikkei Quality Control Literature Prizes Publications: His recent studies examine non-stationary extreme precipitation data, robust parameter design for multilevel systems, and EM-λ algorithm integration with MT methods. These works bridge theoretical statistics with practical engineering applications.

• Electric Vehicles
• Fuel Cell Vehicles
• Plug-in Hybrid Vehicles
• +۳ مورد دیگر

Wei hsiang Yang is an Associate Professor at Waseda University's Environmental Research Institute, Faculty of Science and Engineering. He has been with Waseda University since 2015, initially in the Faculty of Science and Engineering and since 2023 in the Environmental Research Institute. Dr. Yang holds a Doctor of Engineering and a Master of Engineering, both from Waseda University. Dr. Yang's research focuses on sustainable transportation technologies, with particular expertise in: Electric vehicles (buses, trucks, and other heavy-duty vehicles) Fuel cell vehicles and hybrid systems Environmental performance evaluation of alternative fuel vehicles Energy management and optimization for electric transportation Battery technology and thermal management systems His recent work has centered on optimizing speed patterns for electric buses to improve energy efficiency, developing prediction models for electric bus energy consumption, and studying fuel cell hybrid train systems. Dr. Yang's research demonstrates a strong emphasis on practical applications and real-world validation through extensive field testing, including long-term operation tests of electric buses on public roads in Nagano prefecture as part of a project organized by the Japan Ministry of the Environment from 2011 to 2014. Dr. Yang has received multiple awards for his research, including: Best Paper Award from the Society of Automotive Engineers of Japan Kanto Branch (2023) Best Paper Award from the Society of Automotive Engineers of Japan Kanto Branch (2017) Best Presentation Award from the Society of Automotive Engineers of Japan Kanto Branch (2014) Best Paper Award from the Society of Automotive Engineers of Japan Kanto Branch (2014) He has been actively involved in teaching graduate courses related to environment and energy engineering at Waseda University's Graduate School of Creative Science and Engineering and Graduate School of Environment and Energy Engineering. His research has been supported by projects such as "Performance Superior Domain Clarification of Various Electric drive Buses" funded by the Japan Society for the Promotion of Science.

• Robotics
• Control Systems
• Mechanical Engineering
• +۴ مورد دیگر

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.

• Kansei informatics
• Soft computing
• Colour emotion
• +۶ مورد دیگر

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.

• Thermal Engineering
• Aerospace Engineering
• Jet Engines
• +۵ مورد دیگر

Dr. Tetsuya Satou is a Professor at the Department of Applied Mechanics within the School of Fundamental Science and Engineering at Waseda University . He holds a Doctor of Engineering degree from the University of Tokyo and has 20+ years of experience in aerospace engineering, including roles at JAXA, University of Tokyo, and the University of Bristol (UK). His research focuses on hypersonic propulsion systems, two-phase cryogenic flows, and air-intake aerodynamics. Education: Doctor of Engineering, University of Tokyo Key Affiliations: Waseda University, JAXA, Gas Turbine Society of Japan, AIAA Research Interests: Dr. Satou specializes in jet engine design , space plane propulsion , and thermal-fluid dynamics of cryogenic systems. His work includes advanced modeling of two-phase hydrogen flow , precooler technology , and supersonic intake instability (buzz phenomenon) . Article Trends: Recent publications emphasize CFD simulations for hypersonic flight, void fraction measurement in cryogenic systems, and flow regime transitions in hydrogen propulsion. These works often bridge theoretical analysis with experimental validation in wind tunnels and sounding rocket campaigns. Scientific Awards: Special Achievement Award, Gas Turbine Society of Japan (2022) Grand Prize, Numerical Simulation Category, 44th Fluid Mechanics Conference (2012) Professional Roles: Dr. Satou serves on NEDO Technical Committee and MEXT's Council for Science and Technology. He has led JAXA's Space Engineering Committee and advised on professional engineering examinations in Japan.

• Fluid Engineering
• Computational Fluid Dynamics
• Isogeometric Analysis
• +۵ مورد دیگر

Yuto Otoguro is an Associate Professor (non-tenure-track) at Waseda University's Faculty of Science and Engineering, Department of Modern Mechanical Engineering, and also serves as a Researcher at the Institute for Frontier Fluid-Structure Interaction Analysis. He earned his PhD, M.Eng, and B.Eng in Modern Mechanical Engineering from Waseda University in 2018, 2016, and 2014 respectively. His academic career focuses on advanced computational methods for fluid dynamics and structural mechanics. Dr. Otoguro's primary research interests lie in Fluid Engineering, Computational Fluid Dynamics (CFD), and Isogeometric Analysis (IGA). His work centers on developing and applying space-time computational methods with isogeometric discretization for complex flow problems. He has made significant contributions to element length calculation in B-spline and T-spline meshes, stabilization parameters for variational multiscale methods, and general-purpose NURBS mesh generation techniques for complex geometries. His research has important applications in turbomachinery, wind turbine analysis, fluid-structure interaction, and computational aerodynamics. His publication record shows a strong focus on computational methods development, with particular emphasis on isogeometric analysis applications. His work on local-length-scale calculation in complex geometries, hyperelastic shell models, and space-time computational flow analysis represents cutting-edge research in computational mechanics. His papers frequently address challenges in representing complex geometries and handling moving boundaries in fluid flow simulations. Among his scientific achievements, Dr. Otoguro received the JSCES 20th Anniversary Scholarship Award. He has been actively involved in research projects including 'On new developments of Isogeometric Analysis (IGA) for highly accurate and efficient fracture mechanics analysis' funded by the Japan Society for the Promotion of Science, and 'Compressible-flow engine-valve analysis with response motion and contact' as part of the Early-Career Scientists program. As an educator, Dr. Otoguro teaches multiple courses at Waseda University including Fluid Dynamics, Engineering Thermodynamics, Material Mechanics, and Mechanical Engineering Laboratory courses. He has also organized workshops on isogeometric analysis to promote this emerging computational method within Japan's research community. His academic service includes participation in the Team for Advanced Flow Simulation and Modeling (T*AFSM), where he contributes to advancing computational methods for fluid-structure interaction problems.

• Environmental Economics
• Resource Economics
• Economic Theory
• +۵ مورد دیگر

Ken-Ichi Akao is a Professor at the Faculty of Social Sciences, Waseda University, where he has been serving since April 2002. Previously, he held positions as Associate Professor (1997-2002), Lecturer (1995-1997), and Instructor at Waseda University. He also served as an International Visiting Scholar at UC Davis (2002-2004) and as a Visiting Professor at KIER, Kyoto University (2008). Dr. Akao received his Ph.D. from Kyoto University and holds degrees from Kyoto University Faculty of Agriculture (1984) and Graduate School, Faculty of Agriculture Department of Forestry (1989). Dr. Akao's academic journey began at Kyoto University, where he completed both his undergraduate and graduate studies in Agriculture with a focus on Forestry. He earned his Doctorate from Kyoto University Graduate School, Faculty of Agriculture Department of Forestry in 1989. His academic career commenced as a Research Fellow with the Japan Society for the Promotion of Science (1989-1990), followed by positions at Kyoto University and eventually Waseda University. Dr. Akao's research spans the intersection of environmental economics, resource management, and economic theory. His work focuses on sustainable development, climate change policy, intergenerational equity, and the economic analysis of natural resource management. He has made significant contributions to understanding the theoretical foundations of sustainable development, particularly examining the conditions under which sustainable paths can be achieved within standard economic models. His recent research explores the role of dialogue and communication in fostering altruism toward future generations in the context of climate change. Dr. Akao has also investigated optimal forest management when carbon sequestration services have economic value, and the impact of environmental taxation on green innovation. With a publication record spanning several decades, Dr. Akao's research demonstrates a consistent focus on the economic dimensions of environmental challenges. His work combines rigorous theoretical modeling with practical policy implications, particularly in the areas of climate change mitigation, sustainable resource management, and intergenerational equity. Recent publications show an increasing interest in behavioral aspects of environmental decision-making, including how dialogue and communication can influence altruistic behavior toward future generations. His research often employs dynamic game theory and optimal control methods to analyze long-term environmental and resource management problems. Co-editor, Environmental Economics and Policy Studies (Springer Journal), 2010-present Managing Editor, Environmental Economics and Policy Studies (2014-2018) Editorial Board, International Review of Environmental and Resource Economics, 2021-present Editorial Board, Chinese Journal of Population Resources and Environment, 2020-present Dr. Akao is an active member of multiple professional organizations including the Econometric Society, European Association of Environmental and Resource Economists, Asian Association of Environment and Resource Economics, and Society for Environmental Economics and Policy Studies. His research has been presented at major international conferences worldwide, demonstrating his significant contribution to the field of environmental economics and sustainable development.

• Operations Research
• Reliability Engineering
• Bayesian Statistics
• +۲ مورد دیگر

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.

• Learning Psychology
• Behavioural Neuroscience
• Behavioural Pharmacology
• +۷ مورد دیگر

Yutaka Kosaki is Professor of Psychology at Waseda University’s School of Humanities and Social Sciences, where he has taught since 2017 and served as full Professor from 2022. After obtaining his Ph.D. in Experimental Psychology from the University of Cambridge (2008), he held research positions at Durham, Cardiff, Keio and Waseda universities, building an international profile in learning psychology, behavioural neuroscience and pharmacology. Education Ph.D. Experimental Psychology, University of Cambridge, 2008 Research Interests Kosaki’s work integrates associative learning theory with behavioural neuroscience to clarify how animals and humans acquire, extinguish and re-instate goal-directed versus habitual actions. His recent projects examine (i) reinforcement-schedule determinants of habit formation, (ii) context and renewal effects in extinction, (iii) spatial learning and higher-order conditioning without a cognitive map, and (iv) aberrant associative processes in mouse models of autism and schizophrenia, including ketamine-induced disruptions of stimulus selection. Publication Trends Across 29 Scopus-listed papers (h-index 11, 413 citations) his articles consistently combine rigorous behavioural assays (operant schedules, place/response mazes, US devaluation, conditioned reinforcement) with neuropharmacological manipulations (ketamine, methamphetamine, oxytocin) and lesion or optogenetic approaches. Dominant themes are the neural and computational mechanisms governing the transition from flexible, outcome-sensitive actions to inflexible, stimulus-bound habits, and how these processes malfunction in neuropsychiatric conditions. Scientific Awards Waseda Research Award (International Research Dissemination), 2018 Indo-Taro Prize, 2018 Japanese Association of Basic Psychology Excellent Paper Award, 2016 Nakajima Memorial International Exchange Scholarship, 2004 Grants & Editorial Service He currently leads JSPS KAKENHI and alcohol-science-foundation projects on habit formation and addiction, and serves as Editor of the Japanese Journal of Animal Psychology after six years as editorial assistant. He is a member of the Japan Neuroscience Society, Japanese Society for Animal Psychology and Society for Neuroscience. Laboratory & Teaching At Waseda he supervises undergraduate and graduate theses and teaches core courses including Psychology of Learning, Introduction to Psychology and Experimental Practicals. His lab accepts domestic and international graduate students and JSPS post-doctoral fellows interested in associative learning, spatial cognition and the neurobiology of mental disorders.

• Systems and Control
• Mathematical Optimization
• Cyber-Physical Human Systems
• +۷ مورد دیگر

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.

Tota Sukoمشاهده پروفایل

دانشیار

• Bayesian statistics
• Statistical learning theory
• Business statistics
• +۳ مورد دیگر

Tota Suko is an Associate Professor at the School of Social Sciences, Waseda University, specializing in statistical learning theory and business analytics. With a Ph.D. in Engineering from Waseda University, Dr. Suko leads the Suko Seminar (Management Science Seminar) where students learn to solve business problems using mathematical and management science approaches, primarily through data science techniques including statistical analysis and machine learning. Dr. Suko's research spans multiple domains in statistics and data science. His primary interests include Bayesian statistics, statistical learning theory, business statistics, data mining, and information theory. He has developed methods for analyzing survey data with selection bias, detecting poor responses in questionnaires, and parameter estimation in regression models. His work bridges theoretical statistics with practical applications in business analytics, e-commerce, and even nanotechnology through collaborations with physics researchers. Dr. Suko's recent publications demonstrate a strong trend toward practical applications of statistical methods. His work on generative AI for criminal case law analysis shows innovative application of AI in legal domains, while his research on questionnaire quality control addresses fundamental issues in survey methodology. He has also made significant contributions to theoretical aspects of statistical learning, particularly in the areas of label noise, selection bias, and parameter estimation under non-ideal data conditions. Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research projects Waseda Data Science Consortium industry-academia collaborations Research on nanoscale semiconductor prediction models Development of methods for low-quality data analysis Dr. Suko actively supervises both undergraduate and graduate students through the Suko Seminar. Students work on individual or team projects, participate in data analysis competitions, and present their research at academic conferences. He has developed educational approaches including full-on-demand content for data science education and modularized online statistical teaching materials. Dr. Suko leads the Suko Seminar (Management Science Seminar), which actively collaborates with companies and research institutions. His research team works on diverse projects including analysis of purchasing and browsing histories on e-commerce sites, prediction modeling for nanoscale conduction, and development of methods for low-quality data analysis. The seminar emphasizes both theoretical understanding and practical application of data science techniques to solve real-world business problems.

• Robotics
• Tactile Sensing
• Soft Robotics
• +۳ مورد دیگر

Tito Pradhono serves as an Assistant Professor and Junior Researcher at the Future Robotics Organization under the Research Council, specializing in advanced robotics research with 34 publications and significant scholarly impact (884 Google Scholar citations, h-index 12). His work bridges hardware innovation and algorithmic development to solve critical challenges in robotic perception and interaction. His primary research focuses on tactile sensing systems and soft robotics, where he has pioneered novel sensor technologies including Halbach array-based robot skin (H-PME), interchangeable fingertip sensors (Fingertac), and low-cost proximity-force fusion systems ("Safe Skin"). These innovations enable enhanced human-robot interaction through precise force measurement, slip detection, and grasping stability prediction. His methodology consistently integrates machine learning—particularly spatio-temporal attention networks and ensemble learning—with physical sensor design to create practical, deployable solutions. Analysis of his 15 most recent publications reveals a clear trajectory toward multimodal perception systems (vision-touch fusion), geometric data augmentation techniques, and culturally contextual robotics (anime embodiment). His work demonstrates exceptional consistency in developing cost-effective, real-world applicable technologies while maintaining theoretical rigor in sensor fusion and deep learning architectures. He received the Integrated Doctoral Tuition Support Scholarship in 2015, which supported his foundational research. His scholarly impact is evidenced by sustained citation growth across Scopus (612 citations) and Google Scholar (884 citations) platforms. Dr. Pradhono's research is conducted within the Future Robotics Organization, which appears to focus on socially engaged robotics development including the darumato-3 social robot platform and culturally specific implementations like Wayang puppet theater robots with Gamelan music recognition. His work emphasizes participatory design and real-world deployment rather than purely theoretical exploration.