جست‌وجوی استاد و پژوهشگر

• Electronic Design Automation
• VLSI Design
• Computer Systems
• +۷ مورد دیگر

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

• Mechatronics
• Robotics
• Safety Engineering
• +۶ مورد دیگر

Yoshitaka Tanimizu is a Professor at the School of Creative Science and Engineering, Faculty of Science and Engineering, Waseda University. His research focuses on intelligent manufacturing systems, scheduling optimization, and human-centered production models. He holds a Doctor of Engineering degree from Osaka University and maintains an active research laboratory.

Hideyuki Suzukiمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Hybrid Systems
• Many-Body Dynamics
• +۵ مورد دیگر

Hideyuki Suzuki is a Professor at the Department of Information and Physical Sciences , Graduate School of Information Science and Technology , Osaka University , where he has been employed since April 2016. His research spans nonlinear dynamics , hybrid systems , and many-body dynamics , with applications to power systems , brain modeling , and epidemic networks . 2001 : Ph.D. in Mathematical Engineering and Information Physics, University of Tokyo 1998 : M.Eng. in Mathematical Engineering and Information Physics, University of Tokyo 1996 : B.Sc. in Mathematics, University of Tokyo His research interests focus on nonlinear dynamical systems , particularly those with discontinuities or large-scale interactions , such as chaotic billiards , hybrid systems , and spatio-temporal chaos . He explores computational applications in machine learning (e.g., chaotic Boltzmann machines ), epidemiology (e.g., vaccine allocation models ), and power grid stability . The 15 most recent articles highlight his work in photonic computing , nonlinear sampling algorithms , and chaotic dynamics in engineering and biology . Key trends include interdisciplinary applications of nonlinear mathematics to renewable energy , neuroscience , and epidemic spread . Scientific awards include: 2022 Osaka University Prize 2018 JSIAM Best Paper Award for Hamiltonian Monte Carlo (2017) He leads the Nonlinear Mathematics Course laboratory, which accepts graduate and undergraduate students. His team investigates hybrid dynamical systems , chaotic computation , and real-world modeling in fields like traffic dynamics and epidemic networks . Research is supported by grants from JST CREST and ALCA-Next programs.

• Computer Vision
• 3D Reconstruction
• Perceptual Information Processing
• +۷ مورد دیگر

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

• Industrial Dynamics
• Firm Growth and Survival
• Entrepreneurship
• +۵ مورد دیگر

Alex Coad is Professor at Waseda University’s Graduate School of Business and Finance, Faculty of Commerce, Tokyo. A 2007 PhD graduate of Université Paris 1 Panthéon-Sorbonne, he specialises in industrial dynamics, entrepreneurship and applied econometrics, with field-leading work on high-growth firms, innovation policy and firm survival. Education PhD student, Université Paris 1 Panthéon-Sorbonne, 2004-2007 Research Interests Coad’s research straddles three tightly linked domains: (i) the life-cycle of firms—how they start, grow, innovate and exit; (ii) the identification and support of high-growth enterprises (gazelles, scale-ups) and their role in job creation and productivity; and (iii) the econometric evaluation of innovation and entrepreneurship policies, including post-crisis resilience after COVID-19. He employs large micro-data panels, quasi-experimental designs and, more recently, machine-learning techniques to uncover robust empirical regularities. Publication Landscape Across 119 Scopus-indexed papers (h-index 44) and 17 000+ Google-Scholar citations (h-index 59), Coad’s recent output reveals three dominant streams: (1) policy-oriented studies on European high-growth firms and scale-ups; (2) COVID-related analyses of firm vulnerability, investment expectations and recovery paths; and (3) methodological contributions linking random-forest prediction to gazelle identification. His work consistently blends rigorous econometrics with actionable policy insight. Honours & Awards 2021 Waseda Research Award Teaching & Doctoral Supervision At Waseda he teaches graduate courses in Firm Growth & Innovation, Econometrics, Time-Series Analysis, Data-Science for Management and Japan Industry Studies, and supervises research seminars for the MSc in Finance. No individual student names are listed in the supplied material. Grants & Teams Coad leads or co-leads large EU-funded micro-data projects on productivity, innovation and COVID resilience, often involving cross-country research consortia; specific grant numbers or budgets are not disclosed in the text.

• Food sciences
• Functional food chemistry
• Bioorganic chemistry
• +۴ مورد دیگر

Yoichi Nakao is a Professor at the School of Advanced Science and Engineering, Faculty of Science and Engineering, Waseda University, specializing in natural products chemistry, chemical biology, and functional food chemistry. His research focuses on marine natural products, stem cell differentiation, and epigenetics, with significant contributions to understanding how natural compounds affect cellular processes. Dr. Nakao earned his Doctor of Agriculture from the University of Tokyo. His educational background includes undergraduate, master's, and doctoral studies all completed at the University of Tokyo between 1985 and 1994, followed by postdoctoral research at the University of Hawai'i Department of Chemistry from 1994-1996. His research spans multiple interdisciplinary fields with a particular emphasis on identifying bioactive compounds from natural sources. Nakao's work explores how marine organisms and traditional food sources produce compounds that influence stem cell differentiation, particularly neural stem cells into astrocytes, and how these processes relate to neurodegenerative diseases and depression. His laboratory investigates epigenetic modifications induced by environmental chemicals and natural products, with implications for developmental toxicology and disease prevention. A significant portion of his recent work focuses on sustainable applications, including serum-free cell culture systems using algal extracts for cultured meat production and regenerative medicine. Analysis of Nakao's recent publications reveals a strong focus on marine natural products chemistry, with numerous discoveries of novel compounds from sponges, cyanobacteria, and other marine organisms. His research increasingly integrates chemical biology approaches with stem cell technology, particularly using induced pluripotent stem cells to study epigenetic changes. There's also a growing emphasis on sustainable biotechnology applications, especially in developing alternatives to animal serum for cell culture, which has significant implications for cultured meat production and regenerative medicine. Dr. Nakao serves in various professional capacities, including as a committee member for the Natural Products Discussion Group (2011-present), the Japanese Society of Chemical Biology (2010-present), and the Chemical Ecology Research Group (2007-present). He is an active member of numerous professional societies including the American Chemical Society, Japanese Bioinformatics Society, and Japanese Society of Chemistry. His laboratory maintains active collaborations across multiple disciplines, working with researchers in microbiology, parasitology, and biomedical engineering. Current research directions include developing chemical probes for target identification, studying microbial interactions in marine environments, and exploring the therapeutic potential of natural compounds for neurological disorders and infectious diseases.

• Software Engineering
• Model Checking
• Formal Verification
• +۴ مورد دیگر

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.

• Computer Architecture
• Parallel Computing
• Compiler Technology
• +۳ مورد دیگر

Keiji Kimura is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering. He earned his Doctor of Engineering from Waseda University and has held academic positions at the university since 1999, progressing from Research Associate to Assistant Professor (2004-2005), Associate Professor (2005-2012), and Professor (2012-present). He is affiliated with multiple professional organizations including ACM, IEEE Computer Society, The Institute of Electronics, Information and Communication Engineers, and Information Processing Society of Japan. His research focuses on computer architecture, particularly parallel computing systems and compiler technology. Kimura has made significant contributions to the development of the OSCAR (Optimally Scheduled Advanced Multiprocessor) automatic parallelizing compiler framework. His work spans multiple areas including multicore processor architecture, power reduction techniques for embedded systems, non-volatile memory systems, and parallelization methods for heterogeneous architectures. His research interests specifically include Multiprocessor Architecture and Parallelizing Compiler development, with applications in real-time systems and energy-efficient computing. Analysis of his recent publications reveals a strong focus on practical implementations of parallel computing technologies across diverse hardware platforms including RISC-V, ARM, and heterogeneous multicore systems. His work demonstrates a consistent trajectory from theoretical compiler development toward practical applications in embedded systems, security, and non-volatile memory technologies. The publications show increasing emphasis on RISC-V architecture, persistent memory programming, and power-efficient computing solutions. MEXT Award for Science and Technology (Research category), 2014.04 Ministry of Education, Culture, Sports, Science and Technology (MEXT) Kimura has served on numerous prestigious conference program committees including PACT, IPDPS, HPCA, and LCPC. His research has been supported through collaborations with major technology companies and government initiatives such as the METI/NEDO project entitled "Multicore Technology for Realtime Consumer Electronics." His work with the OSCAR compiler framework has demonstrated significant performance improvements and power reductions in real-world applications. He leads research in the APAL laboratory (http://www.apal.cs.waseda.ac.jp/) at Waseda University, focusing on advanced parallel processing technologies. His team works on compiler-directed approaches to solve challenges in heterogeneous multicore architectures, with particular emphasis on making parallel programming more accessible while optimizing for both performance and power efficiency. Current research directions include RISC-V secure boot verification, non-volatile memory systems, and GPU-based persistent memory solutions.

• Medical Assistive Technology
• Robotics and Intelligent Systems
• Design Engineering
• +۳ مورد دیگر

Eiichiro Tanaka is a Professor at Waseda University's Faculty of Science and Engineering , specializing in Medical Assistive Technology , Robotics , and Design Engineering . His research focuses on developing wearable robotic systems for gait training, neuro-rehabilitation, and elderly mobility assistance. Key Research Areas : 1. Human-Robot Interaction for emotion-adaptive assistive devices. 2. Biomechanical Modeling of lower-limb assistance. 3. Ontological Frameworks for academic emotion analysis. 4. Non-Powered Exosuits for muscle fatigue reduction. His work integrates deep neural networks and physiological signal processing to create emotion-aware walking aids. Recent studies (2022-2020) demonstrate 24% fatigue delay and 16% walking distance improvement using RE-Gait® devices. Earlier projects include guide-dog robots and self-contained gear diagnostics . All publications employ 3D motion analysis , Wearable Sensors , and torque control algorithms .

• Polymer Chemistry
• Functional Polymers
• Energy Storage Materials
• +۵ مورد دیگر

Kenichi Oyaizu is a Professor in the Department of Applied Chemistry at Waseda University's School of Advanced Science and Engineering. With over 30 years of academic career, he has established himself as a leading researcher in polymer chemistry, with particular expertise in functional polymers for energy applications. His research group has produced over 300 publications with more than 12,000 citations, demonstrating significant impact in the field. Professor Oyaizu received his education entirely at Waseda University, completing his undergraduate studies in the Department of Applied Chemistry (1986-1990), followed by graduate work in the same department where he earned his PhD in Engineering (1990-1995). His academic journey progressed from JSPS Research Associate to his current position as Professor, with appointments at Tokyo University of Science along the way. Oyaizu's research focuses on polymer synthesis and functional polymers, with particular emphasis on energy storage materials, hydrogen storage systems, high refractive index polymers, and organic battery technologies. His work bridges fundamental polymer chemistry with practical applications in sustainable energy, demonstrating strong interdisciplinary approach that combines materials science, electrochemistry, and informatics. Analysis of his recent publications reveals a strong trend toward developing advanced polymer materials for energy applications, with particular focus on high refractive index polymers for optoelectronics and robust organic materials for batteries. His research increasingly incorporates materials informatics approaches, as evidenced by several publications applying AI and machine learning to polymer design and property prediction. Yamazaki Sho Award (2022) - Polymers for Reversible Hydrogen Storage Society of Polymer Science Japan Award (2022) - Functional Polymers for Energy Storage Minister of Education Science and Technology Prize (2013) Oleo Science Award (2007) Chemical Society of Japan Young Chemists Award (2002) Professor Oyaizu maintains active leadership roles in the academic community, serving on editorial boards and as committee member for multiple professional societies including the Society of Polymer Science Japan and Chemical Society of Japan. His research is supported by significant grants that enable his team to pursue innovative projects at the intersection of polymer science and sustainable energy technologies. The Oyaizu laboratory operates as a dynamic research environment where fundamental polymer chemistry meets practical energy applications, with particular emphasis on developing materials that address global energy challenges.

• Audio-Visual Speech Recognition
• Machine Learning
• Signal Processing
• +۹ مورد دیگر

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

• Biomedical Engineering
• Medical Physics
• Electromagnetic Field Safety
• +۴ مورد دیگر

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

• Nanotechnology
• Materials Science
• Wireless Power Transmission
• +۵ مورد دیگر

Saman Azhari is an Assistant Professor at the Graduate School of Information Production and Systems , Waseda University, Japan. His research focuses on Nanotechnology , Biosensors , and Reservoir Computing for biomedical and robotic applications. Developed self-sterilizing face masks using enzymatic power generation (2025) Engineered smart contact lenses for wireless cholesterol monitoring and ocular diagnostics (2025, 2024) Innovated CNT/PDMS nanocomposites for haptic sensors and in-sensor computing (2024, 2021) Explored 3D nanomaterial reservoir computing with SWNT/POM networks (2023, 2021) Collaborated on microwave-assisted CNT synthesis from waste materials (2018) His recent publications (2025-2023) emphasize flexible biosensors , atomic switch networks , and energy-efficient AI hardware . Key subfields include piezoresistive pressure sensing , synaptic plasticity in nanoparticle systems , and plant-insertable sucrose monitors . He holds patents for tactile sensing devices and mechanical sensors.

• Sociolinguistics
• Cultural Heritage of South Asia
• Language Policy
• +۴ مورد دیگر

Dr. Tania Hossain is a Professor and Assistant Dean at Waseda University's Faculty of Letters, Arts and Sciences in Tokyo, Japan. Originally from Dhaka, Bangladesh, she completed her Ph.D. at International Christian University, Tokyo, following undergraduate and master's studies at the University of Dhaka. She teaches sociolinguistics and cultural heritage of South Asia, with a research focus on language and education policy studies, particularly concerning marginalized communities in South Asia. Dr. Hossain's educational background includes: Ph.D. in English Language Teaching from International Christian University (2004-2008) M.A. in English Language Teaching from International Christian University (2002-2004) Intensive Japanese Studies from Bunkyo University (2001-2002) M.A. in English Language Teaching from University of Dhaka (1998-2001) B.A.(Hons) in English Literature from University of Dhaka (1995-1998) Her research interests span sociolinguistics, cultural heritage of South Asia, language and education policy, and refugee studies. She has conducted extensive research on the Rohingya refugee crisis in Bangladesh, focusing on educational access and language rights. Her work also addresses women's empowerment, Dalit rights in India, and religious tourism in Bangladesh. As a multilingual scholar who has traveled to over 100 countries, she brings a global perspective to her research on language policy in post-colonial contexts. Dr. Hossain's recent publications reveal a strong focus on contemporary language education challenges, particularly regarding marginalized communities. Her work examines the intersection of AI and language learning, digital diaspora among refugee populations, and the implementation of language policies in South Asia. She has increasingly focused on the Rohingya refugee crisis in Bangladesh, analyzing educational access and language rights issues. Her research methodology combines policy analysis with field studies in Bangladesh and other South Asian countries. Her notable awards include: Sprits of Women's Award (2017.09) from Women's Club of Tokyo Nikhil Bishwa Bangla Vasha Sahityo Puroskar (2014.04) from Sanskriti Chorcha, India Dr. Hossain has served as an advisor for the Bangladesh Study Tour at Mitaka International and has been involved in numerous research projects at Waseda University, including studies on education in a global context, language and education policy, and literacy policy. She has received funding for research on the economic impact of Hajj and Umrah in Saudi Arabia, expanding education for Rohingya refugee children, and the cultural heritage of Aligarh Muslim University. Her work demonstrates a commitment to addressing educational inequalities and promoting language rights in South Asia. As a multilingual academic with expertise in sociolinguistics and cultural heritage, Dr. Hossain leads research teams focusing on language policy implementation in South Asia. She has established collaborations with institutions across Japan, Bangladesh, India, and other countries to study educational systems and language rights. Her work with refugee communities, particularly the Rohingya in Bangladesh, has led to partnerships with international organizations addressing educational access for displaced populations.

• Medical Informatics
• Statistical Science
• Bioinformatics
• +۵ مورد دیگر

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