جستجوی استاد راهنمای دانشگاهی

• Video Processing
• Image Processing
• Signal Processing
• +۷ مورد دیگر

Takeshi Ikenaga is a Professor at Waseda University’s School of Fundamental Science and Engineering and Graduate School of Information, Production and Systems . He earned his Ph.D. in Information & Computer Science from Waseda University in 2001, following B.E. and M.E. degrees in Electrical Engineering (1988–1990). His career spans roles at NTT LSI Laboratories (1990–2002), Kitakyushu Foundation for Advancement of Industry, Science and Technology (FAIS) (1999–2002), and visiting researcher at the University of Massachusetts (1999–2000). Research Interests : Application-specific SoCs for video/image processing, including compression (H.264/AVC, H.265/HEVC), filters (super-resolution, noise reduction), recognition systems (feature detection, object tracking), and communication (UWB, LDPC). He also works on many-core processor design, ultra-low-delay vision systems, and sports analytics (volleyball, figure skating) with real-time 3D pose estimation and ball tracking. Awards : Recipient of the Furukawa Sansui Award (Waseda University, 1988) IEICE Research Encouragement Award (1992) Multiple Best Paper/Presentation Awards (2006–2022) at conferences including DAC/ISSCC, LSI IP Design, ISOCC, ISPACS, and CVIT APSIPA Distinguished Lecturer Certificate (2015) Waseda University Presidential Teaching Award (2020)

• Robotics
• Mechatronics
• Humanoid Robots
• +۴ مورد دیگر

Atsuo Takanishi is a distinguished Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, with appointments in both the Department of Bioscience and Biotechnology and the Department of Modern Mechanical Engineering. With over 700 publications, 10,399 citations, and an h-index of 47, Professor Takanishi has established himself as a leading figure in robotics research. His work spans multiple institutions, including visiting positions at Showa University School of Dentistry and KDDI Research, Inc. Professor Takanishi received his Doctor of Engineering degree from Waseda University in 1985, following his undergraduate studies in the Faculty of Science and Engineering at the same institution, which he completed in 1980. His academic journey began with positions as an Assistant at Waseda University (1985-1988), Lecturer (1988-1990), and Associate Professor (1990-1997) before achieving his current Professor status. Professor Takanishi's research interests center around robotics and intelligent systems, with particular expertise in humanoid robotics, surgical dentistry applications, and biomechatronics. His work demonstrates a unique integration of mechanical engineering principles with biological systems, resulting in innovative robotic platforms that mimic human capabilities. Notably, his laboratory has developed the Waseda Anthropomorphic Saxophonist Robot series and various medical training simulators that have significantly advanced the field of human-robot interaction. His research in experimental psychology complements his robotics work, particularly in human-robot interaction studies. Analysis of Professor Takanishi's recent publications reveals a strong focus on practical applications of robotics technology, particularly in assistive devices for elderly mobility, medical training simulators, and agricultural robotics for Synecoculture environments. His work consistently bridges theoretical robotics with real-world implementation, with recent papers emphasizing reinforcement learning approaches, haptic feedback systems, and computer vision techniques for complex environments. The Waseda Anthropomorphic Saxophonist Robot series represents a culmination of decades of research in humanoid robotics and musical expression. IEEE Fellow (2020-present) Robotics Society of Japan Fellow (2012-present) Japan Society of Mechanical Engineers Fellow (2007-present) Multiple Best Paper Awards from IEEE conferences (ICRA, IROS, ROMANSY) BusinessWeek Asia's Stars Bloomberg (2001) IFToMM Award of Merit (2010) Professor Takanishi has maintained extensive collaborations with research institutions worldwide, particularly with Italian institutions through the Italy-Japan Workshop series. His laboratory has secured substantial funding from Japanese government agencies including the Japan Science and Technology Agency, with particular emphasis on projects bridging robotics with medical applications and human-centered technologies. His international recognition is evidenced by his numerous visiting professorships and collaborative projects across continents. Professor Takanishi leads the Takanishi Laboratory at Waseda University, which maintains specialized facilities for humanoid robotics development, medical robotics research, and human-robot interaction studies. The laboratory has developed several notable robotic platforms including the WABIAN series of bipedal humanoid robots, the WASEDA FLUTIST ROBOT, and various medical training simulators used in clinical education settings. His work on the WASEDA SAXOPHONIST ROBOT represents a unique fusion of musical artistry and robotics engineering.

• Cognitive Robotics
• Developmental Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Tetsuya Ogata is a Professor at the Faculty of Science and Engineering, School of Fundamental Science and Engineering at Waseda University. He also holds joint appointments as a Fellow at the Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), and as a visiting professor at the National Institute of Informatics (NII). Professor Ogata serves as director of the Institute of AI and Robotics at Waseda University, chairperson of the AI Robot Association (AIRoA), and research supervisor of JST CREST "Fundamentals and Core Technologies for Embodied AI" since 2025. Professor Ogata received his B.S., M.S., and D.E. degrees in mechanical engineering from Waseda University in 1993, 1995, and 2000, respectively. He began his academic career as a Research Associate at Waseda University (1999-2001), followed by positions as a Research Scientist at RIKEN Brain Science Institute (2001-2003), Lecturer (2003-2005) and Associate Professor (2005-2012) at Kyoto University's Graduate School of Informatics, before becoming a Professor at Waseda University in 2012. He was also a JST PRESTO Researcher from 2009 to 2015. Professor Ogata's research focuses on cognitive developmental robotics, deep predictive learning, and the integration of vision, language, and action (VLA) for human-robot interaction. His work explores how robots can learn through experience and interaction with humans and environments, developing models that allow for flexible behavior generation and adaptation. His research has significant implications for creating robots that can understand human intentions, collaborate effectively in real-world settings, and continuously learn from their experiences. The integration of multimodal information processing with predictive models forms the core of his approach to embodied artificial intelligence. Analysis of Professor Ogata's recent publications reveals a strong focus on deep predictive learning frameworks that enable robots to anticipate future states and generate appropriate actions. His research spans multiple domains including soft object manipulation, bimanual coordination, transparent object grasping, and integration of large language models with robotic systems. A notable trend is the increasing emphasis on multimodal integration, combining visual, tactile, and linguistic information to create more robust and adaptable robotic systems. His recent work also shows growing interest in the application of foundation models to robotics, aiming to create more general-purpose robotic capabilities. Best Paper Award, Advanced Robotics, The Robotics Society of Japan (2024) Best paper award Nomination Finalist, IEEE/SICE International Symposium on System Integration (2024) Frontiers of Science Awards, The International Congress for Basic Science (2023) Minister of Education, Culture, Sports, Science and Technology Award (2023) Fellow, Japan Society of Mechanical Engineering (2023) Fellow, The Society of Instrument and Control Engineers (2022) Fellow, The Robotics Society of Japan (2022) IBM Academic Awards (2017) Professor Ogata has been instrumental in establishing collaborative research frameworks between academia and industry, serving in leadership roles for multiple professional organizations including the Robotics Society of Japan, Japanese Society for Artificial Intelligence, and Japan Deep Learning Association. His research has been supported by significant grants including JST CREST funding for "Fundamentals and Core Technologies for Embodied AI." He has mentored numerous researchers who have gone on to contribute to the field of robotics and AI, with many of his former students now holding positions in leading academic and industrial research institutions. Professor Ogata directs the Ogata Laboratory at Waseda University, which focuses on cognitive developmental robotics and deep predictive learning. The lab maintains strong collaborations with industry partners including major robotics companies and technology firms. In 2025, he played a key role in establishing the AI Robot Association (AIRoA), which brings together companies like Toyota, Nissan, and KDDI to advance the development of practical AI robotics technologies. His research group is known for its interdisciplinary approach, combining insights from neuroscience, cognitive science, and engineering to create more human-like robotic capabilities.

• Sleep Science
• Sports Medicine
• Psychiatry
• +۵ مورد دیگر

Masaki Nishida is a Professor at the Faculty of Sport Sciences , Waseda University, and Vice President of the Health Support Center at the same institution. He also serves as Chief of the Sleep Research Institute . His research bridges Sleep Science , Sports Medicine , and Clinical Psychiatry , with a focus on the interplay between sleep, cognitive function, and athletic performance. Education: Tokyo Medical and Dental University, Faculty of Medicine (1996) His work has significantly advanced understanding of napping interventions for athletes, sleep quality in competitive divers, and neurophysiological mechanisms linking sleep spindles to memory consolidation. Current research projects include a 2024-2027 study on functional bedding effects funded by Japan Society for the Promotion of Science. Scientific awards include the 15th Japanese Society of Sleep Research Encouragement Award (2010) and the 88th Japanese Society for Occupational Health Award (2015). His publications span topics like REM sleep's role in emotional memory , sleep inertia , and motor adaptation , with recent emphasis on international sports psychiatry standards . He actively contributes to professional societies including the Japanese Association of Sports Psychiatry (Chairman) and Society for Neuroscience .

• Perceptual information processing
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Hiroshi Ishikawa is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering. He also serves as a Visiting Professor at the National Institute of Informatics since 2016. Previously, he held positions at Nagoya City University from 2004-2010 as Assistant Professor, Associate Professor, and Professor. His academic journey includes being a JST PRESTO Researcher from 2009-2013 and an Associate Research Scientist at New York University's Courant Institute of Mathematical Sciences from 2000-2001. Ph.D. in Computer Science, New York University (2000) Master of Science, Kyoto University Bachelor's degree in Mathematics, Kyoto University Faculty of Science (1991) Hiroshi Ishikawa's research spans perceptual information processing, computer vision, artificial intelligence, deep learning, and discrete optimization. His work focuses on developing algorithms for image restoration, segmentation, and understanding, with significant contributions to energy minimization techniques in computer vision. He has pioneered approaches in sketch simplification, medical image segmentation, and higher-order graph cuts. His research bridges theoretical advances in mathematical optimization with practical applications in medical imaging, computer graphics, and consumer electronics. Ishikawa's recent publications demonstrate a strong focus on leveraging deep learning for image enhancement and understanding. His work spans super-resolution techniques, colorization methods, human avatar generation, and medical image analysis. A notable trend is the increasing integration of attention mechanisms and generative models to solve complex vision problems, with growing emphasis on real-world applications in medical imaging and computer graphics. His research group consistently produces high-impact work that appears in top-tier computer vision conferences. 75th Annual IEICE Best Paper Award (2019) Innovative Technologies 2016 Special Prize for Culture (Ministry of Economy, Trade and Industry) MIRU Nagao Award (Best Paper Award) (2009) Young Author Award (IEEE Computer Society Japan Chapter, 2006) MIRU2006 Excellent Paper Award (2006) Harold Grad Memorial Prize (Courant Institute of Mathematical Sciences, NYU, 2000) As a professor at Waseda University, Ishikawa has mentored numerous students who have become active researchers in computer vision, including Yuya Masuda, Edgar Simo-Serra, and Satoshi Iizuka. His research has been supported by various grants, including JST PRESTO funding from 2009-2013. He has served on editorial boards for prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and has held leadership roles in major computer vision conferences such as ICCV, CVPR, and ACCV. Ishikawa leads a vibrant research group at Waseda University focused on computer vision and image processing. His laboratory collaborates extensively with researchers at Nagoya City University, National Institute of Informatics, and international institutions. The group maintains strong connections with industry partners, particularly in medical imaging and consumer electronics sectors, translating theoretical advances into practical applications.

• Human-robot interface
• Co-creative interface design
• Sports engineering
• +۳ مورد دیگر

Shigeru Uesugi is Professor in the School of Creative Science and Engineering, Faculty of Science and Engineering, Waseda University. He directs interdisciplinary research that fuses mechanical engineering, human–robot interaction, and philosophy of technology to create co-creative interfaces, sports-assist devices, and mediated communication systems. Education: Ph.D. in Engineering, Waseda University Research Interests: Uesugi’s work centres on Human Interface & Interaction Design , Mediated Communication , and Being Design . He explores how technology can extend human bodily perception and foster co-creative relationships between users and machines, merging insights from robotics, sports science, and philosophy. Recent articles analyse embodied interaction in shared virtual spaces, remote collaboration via tangible interfaces such as networked “Lazy Susan” tables, and full-body rocking systems that create a sense of togetherness over distance. His publications reveal a steady focus on designing hardware–software hybrids that make remote partners feel co-present. Scientific Awards: 14th Okawa Thesis Award, Honorable Mention (2004) Human Interface Society Paper Award (2004) Grants & Projects: JSPS KAKENHI (A) “Comprehensive research on the relationship between scientific/technological innovation and human society” (2023-2026) JSPS KAKENHI Challenging Research “Transformations of intentionality and responsibility via artifacts” (2022-2025) JSPS KAKENHI “Fascia tension-propagation suit for motor-function enhancement” (2020-2023) Labs & Teams: He leads the Human-being Design Engineering Laboratory whose members develop co-creative interfaces, sports-training devices, and rehabilitation tools. The group maintains the website www.wesugi.mech.waseda.ac.jp and collaborates with the Waseda Research Institute for Science and Engineering.

Naoki Yoshinagaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Computational Linguistics
• Multilingual and Multimodal NLP
• +۴ مورد دیگر

Naoki Yoshinaga is a tenured Associate Professor at the Institute of Industrial Science, The University of Tokyo, with extensive experience in natural language processing and computational linguistics. He has held academic positions since 2008 and currently leads research on pragmatic NLP models and multilingual systems. PhD in Computer Science, The University of Tokyo (2005-2008) MSc in Information Science (2000-2002) BSc in Information Science (1996-2000) His research focuses on mechanistic interpretability in NLP models, multilingual/multimodal NLP , and efficient model design using trie structures and conjunctive features. He also investigates knowledge acquisition from social data and evaluation metrics for language generation . Recent publications include work on neuron empirical gradient analysis (ACL-25), multilingual knowledge representation (EACL-24), and compact embedding methods (CoNLL-24). His research has been funded by multiple grants, including the University of Tokyo Excellent Young Researcher program and JSPS fellowships. Committee Special Award, Association for NLP (2023) JSAI SIG Research Award (2022) Best Interactive Award, DEIM Forum (2019, 2016) He developed widely-adopted NLP tools like pecco (fast classification library), RenTAL (LTAG-to-HPSG grammar converter), and J.DepP (Japanese dependency parser). His lab emphasizes strong equivalence in formalism comparisons and pragmatic model design .

• integrated system design
• quantum computation
• information security
• +۴ مورد دیگر

Nozomu Togawa is a Professor at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering, specializing in Computer Science. He has held this position since 2009 and also serves as Chief Scientific Officer (CSO) of Quanmatic Inc. since 2022. With a PhD in Engineering from Waseda University (1997), his academic journey includes positions at Waseda University and the University of Kitakyushu before his current professorship. His research interests focus on integrated system design , quantum computation , and information security . Togawa has published extensively with over 368 papers and significant citation metrics (Scopus h-index: 23, Google Scholar h-index: 28). His work bridges theoretical quantum computing with practical security applications, particularly in hardware security and IoT systems. Togawa's research demonstrates a clear progression from traditional hardware security toward quantum-inspired computing solutions. His recent publications focus on Ising machines, quantum annealing, and hardware Trojan detection, showing how quantum approaches can solve complex optimization problems in security contexts. He has made significant contributions to applying quantum computing techniques to practical problems like course selection optimization, travel planning, and hardware security verification. Among his notable recognitions are the Minister of Education, Culture, Sports, Science and Technology Award for Science and Technology (2018), SCOPE Results Development Promotion Award (2022), and multiple Best Paper Awards. He serves on important committees including the Ministry of Internal Affairs and Communications Cyber Security Task Force and the Institute of Electronics, Information and Communication Engineers' VLSI Design Technology Research Committee. Togawa actively mentors students who frequently appear as co-authors on his publications. His research group produces high-impact work in quantum computing applications and hardware security, with strong industry connections through his CSO role at Quanmatic Inc. He has received substantial research funding supporting his innovative work at the intersection of quantum computing and security.

Kentaro Nakamuraمشاهده پروفایل

استاد

• Acoustics
• Ultrasonic Engineering
• Optical Fiber Sensors
• +۷ مورد دیگر

Professor Kentaro Nakamura is affiliated with the Institute of Science Tokyo, specifically the Institute of Integrated Research, where he leads the Department of Electrical and Electronic Engineering. His research spans acoustics, ultrasonic engineering, optical fiber sensors, and biomedical applications, with a focus on high-power ultrasonics and lightwave sensing technologies. His laboratory, based at Suzukakedai Campus, R2 Building 7th floor, emphasizes interdisciplinary research through projects like the Hearing Support Project and Brillouin scattering-based distributed measurement systems. Recent publications by his team explore strain/temperature sensing in perfluorinated polymer optical fibers and topology optimization for ultrasonic tools. Notable students under his supervision include Shu Kokubu (M2), Wang (D2), Wu (D3), and Li (M2), who have contributed to studies on ultrasonic levitation, optical sensors, and drug delivery systems. Professor Nakamura will retire in March 2029, after which he will no longer accept master's students proceeding to doctoral programs.

Keigo Kobayashiمشاهده پروفایل

دانشیار

• Architectural planning
• City planning
• Urban design
• +۵ مورد دیگر

Keigo Kobayashi is an Associate Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, Department of Architecture. He has served in this position since 2016, previously holding the rank of Assistant Professor from 2012 to 2016. His professional journey includes significant experience at the Office for Metropolitan Architecture (OMA) in Rotterdam, where he worked as a Senior Architect and Project Architect from 2007 to 2012. His educational background includes a Master of Architecture II from Harvard University's Graduate School of Design (2005), a Master of Architecture from Waseda University's Graduate School of Science and Engineering (2003), and a Bachelor's degree in Architecture from Waseda University's School of Science and Engineering (2002). Kobayashi's research focuses on architectural planning and city planning, with particular interests in food-related architecture, spatial behavior, and sustainable design. His work explores the intersection of architecture with everyday life, examining how spatial configurations influence human behavior and community formation. Recent research has investigated food systems in urban contexts, playful approaches to spatial design, and the relationship between architectural form and environmental performance. His publications demonstrate a strong focus on practical applications of architectural theory, with projects spanning from food truck design in Shodoshima to zero-energy housing solutions and innovative approaches to architectural education. His work shows a consistent interest in how architecture can respond to contemporary social challenges while maintaining theoretical rigor. Excellence in Concrete Construction Award 2019, American Concrete Institute (ACI), Qatar National Library / OMA Kobayashi actively contributes to architectural education through various committee memberships, including serving as Chief of the Subcommittee on Strategies for International Compatibility in Architectural Education at the Architectural Institute of Japan and leading the Caberra Accord Correspondence Subcommittee at the Japan Accreditation Board for Engineering Education. His teaching portfolio at Waseda University is extensive, covering architectural design studios from undergraduate to doctoral levels. He leads several research initiatives, including the Wakusei Project in Tosa, Kochi, NPO PLAT (Platform for Architectural Thinking), and the European Thinkbelt/McDonald's Radio University project which represents an innovative approach to architectural education and community engagement, particularly in contexts of migration and cultural exchange.

• Multimedia Signal Processing
• Computer Networks
• Communication Engineering
• +۳ مورد دیگر

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.

• Entrepreneurship
• International Business
• Strategic Management
• +۱ مورد دیگر

Akie Iriyama is a Professor at the Graduate School of Business and Finance, Waseda University, with affiliations to the Faculty of Commerce and Graduate School of Advanced Science and Engineering. Their research bridges practical and theoretical aspects of entrepreneurship, international business, and strategic management. Education: PhD, University of Pittsburgh, Joseph M. Katz Graduate School of Business M.A. and B.A., Keio University, Tokyo, Japan Research Focus: Globalization of venture capital and transnational technical communities Strategic responses to informal and foreign rivals in emerging markets Equity ownership dynamics in international joint ventures Technology sourcing and real options theory in MNC subsidiaries Paper Trends: Recent publications analyze competitive actions in non-market spaces, reverse technology transfer mechanisms, and equity ownership evolution in international partnerships. Common themes include cross-border knowledge flows, strategic paradoxes in outsourcing, and institutional factors shaping innovation. Scientific Awards: Waseda University Teaching Award (2016) Best paper award nominee (Academy of Management, 2016) Dean’s Discretionary Award (SUNY Buffalo, 2010) Nominated for Haynes Prize (Academy of International Business, 2010) Nominated for Best Conference Papers (Strategic Management Society, 2008) Research Projects: Current projects include large-scale data analysis of urban startup location strategies in Japan (2020-2024) and studies on multi-partner international joint ventures.

• Differential Geometry
• Complex Geometry
• Magnetic Flows
• +۲ مورد دیگر

Toshiaki Adachi serves as Professor in the Department of Computer Science at Nagoya University's Graduate School of Engineering, with research centered on differential geometry and dynamical systems on complex manifolds. His work bridges theoretical mathematics with geometric structures relevant to computer science applications. Education: Doctor of Science, Nagoya University (1987) Master of Science, Nagoya University (1981) Research Focus: Adachi specializes in trajectories, magnetic flows, and circular motions within complex geometries including projective and hyperbolic spaces. His investigations span characteristic magnetic focal values on Kaehler manifolds, extrinsic circular trajectories on real hypersurfaces, and structural properties of Kaehler graphs. This research reveals fundamental connections between geometric configurations and dynamical behaviors in high-dimensional spaces. Publication Trends: Recent works (2022-2024) demonstrate consistent advancement in geometric trajectory analysis, with emphasis on type (A) real hypersurfaces in complex space forms. His publications increasingly integrate tensor/Cartesian product structures in graph theory with classical differential geometry, showing evolving methodological sophistication while maintaining core focus on magnetic flow dynamics. Awards: No specific scientific awards are documented in the provided materials. Professional Activities: Adachi actively contributes to academic discourse through international conference presentations across Europe and Asia, and serves in leadership capacity within the Mathematical Society of Japan. His editorial work on World Scientific publications since 2011 has significantly shaped contemporary differential geometry literature. Research Infrastructure: While no dedicated laboratory is specified, Adachi leads the Center for Research and Development in Higher Engineering-Education, directing institutional initiatives in engineering pedagogy and curriculum development.

• Soft Robotics
• Mechatronics
• Smart Materials
• +۳ مورد دیگر

Akio Kodaira is affiliated with the Institute of Science Tokyo as a researcher. His work focuses on soft robotics, mechatronics, and advanced actuator design using materials like IPMC (Ionic Polymer-Metal Composites) and flexible fuel cells. Primary institution: Institute of Science Tokyo Research Interests Kodaira's research spans the development of soft robots, thin-film actuators, and bio-inspired mechanical systems. Key areas include IPMC fabrication techniques, energy-efficient actuators using Au/Pt electrodes, and 3D crafts using paper/fabric materials. Publication Trends Recent publications emphasize soft robotics, material hybridization (e.g., paper/fabric-assisted IPMC), and flexible fuel cell applications. His collaborations with researchers like Koichi Suzumori and Hiroyuki Nabae highlight interdisciplinary efforts in mechatronics and mechanical engineering. Collaborations Frequent co-authors include Koichi Suzumori (Professor, Institute of Science Tokyo), Kinji Asaka , and Hiroyuki Nabae . Projects involve thin-film robotics, McKibben muscles, and simulator-based navigation software.

• Urban design
• City planning
• Landscape architecture
• +۴ مورد دیگر

Professor Yo Sasaki is a distinguished academic at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, specializing in urban design, landscape architecture, and civil engineering. With a Master of Engineering from Tokyo Institute of Technology and a Doctor of Engineering from the University of Tokyo, he has established himself as a leading authority in infrastructure design and regional planning. Member of Science Council of Japan (SCJ) since 2020 Active member of Japanese Institute of Landscape Architecture Member of City Planning Institute of Japan Member of Architectural Institute of Japan Long-standing member of Japan Society of Civil Engineers Professor Sasaki's research focuses on the intersection of urban planning, landscape architecture, and civil engineering design, with particular emphasis on regional water systems, historical infrastructure, and community-based urban development. His work bridges theoretical frameworks with practical applications, exploring how traditional water utilization systems can inform contemporary sustainable design practices. He investigates how intermediate spaces in residential areas foster urban publicness and examines resident-led approaches to revitalizing depopulated urban centers. His extensive publication record reveals consistent focus on regional water infrastructure, with recent work analyzing traditional water facilities like Kawado in Niigata Prefecture, tsunami memorial parks, and community-based water management systems. His research demonstrates a clear trajectory toward integrating historical wisdom with contemporary design challenges, particularly in the context of disaster recovery and sustainable regional development. Japan Society of Civil Engineers Publication Culture Award (2024) Landscape and Design Committee Design Award, Grand Prize (2024) Waseda University Teaching Awards President's Award (2022) Landscape and Design Committee Design Award, Excellence Award (2022) Multiple historical design awards dating back to 2005 Professor Sasaki actively mentors junior researchers and collaborates on numerous research projects, including regenerative design of intermediate spaces between homes and scalable water infrastructure design programs. His work with the Japan Society of Civil Engineers' D&I Committee demonstrates commitment to diversity and inclusion in engineering practice. His laboratory (Yoh Lab) serves as a hub for innovative research connecting people, towns, and natural systems through thoughtful design.