جست‌وجوی استاد و پژوهشگر

ISHIZUKA Kanakoمشاهده پروفایل

استاد

• Genetic counseling
• Neurodevelopmental disorders
• ADHD
• +۶ مورد دیگر

Professor Kanako Ishizuka is a faculty member at Nagoya Institute of Technology's Health Center, where she serves as Director of the Health Center and Head of the Disability Student Support Division. With a Doctor of Medicine from Nagoya University (2017), she specializes in child and adolescent psychiatry, clinical genetics, and special needs education. Her educational background includes: April 2014 - March 2017: Nagoya University Graduate School of Medicine April 1998 - March 2004: Nagoya University, School of Medicine Professor Ishizuka's research focuses on genetic counseling, neurodevelopmental disorders, ADHD, gene-environment interactions, and special needs education. She applies informatics to life and health sciences, with particular expertise in medical technology assessment, genetics, psychiatry, and special needs education. Her work bridges clinical practice with research to improve understanding and treatment of developmental disorders. Her publication record demonstrates a strong focus on autism spectrum disorders, ADHD, depression assessment using AI technologies, and genetic factors in mental health. She has pioneered research in using machine learning algorithms for depression severity assessment and has conducted significant work on prescription patterns for psychiatric medications in Japanese populations. Her notable awards include: Nagoya Institute of Technology Staff Award (2023) 2017 International Conference Presentation Encouragement Award (2018) Nagoya University President's Award (2003) Professor Ishizuka has secured multiple research grants, including a Japan Society for the Promotion of Science Grant-in-Aid for Early-Career Scientists (2020-2025) for research on autism spectrum disorders originating from comorbid anxiety disorders. She also serves as Principal Investigator for several projects related to psychiatric disorders and genetic research. She actively contributes to various committees including the Aichi Prefectural Mental Health Review Board, the National University Health Management Association, and the Nagoya City Education Board's Bullying Countermeasures Discussion Committee. Her work extends to community service as a special needs education supervisor and advisor to various child development centers.

• Computational Science
• Fundamental Physical Chemistry
• Machine Learning
• +۳ مورد دیگر

Mikito Fujinami is an Assistant Professor at the Research Institute for Science and Engineering, Waseda University. He earned his Ph.D. in Science from Waseda University in March 2020 and has held academic positions there since 2018. His research spans computational chemistry, machine learning, and cheminformatics. Doctoral Degree: Waseda University Graduate School of Advanced Science and Engineering (2020) Professional Memberships: The Molecular Science Society, Theoretical Chemistry Association, Organic Synthesis Chemistry Association, The Chemical Society of Japan His research focuses on integrating machine learning with quantum chemical descriptors for reaction prediction, solvent selection, and experimental automation. He has developed systems for automated chemical experiment recognition using computer vision and machine-learned kinetic energy functionals for orbital-free DFT calculations. Scientific awards include: Doctoral Degree Award (Waseda University, 2020) Poster Award (41st Chemoinformatics Symposium, 2018) Excellent Poster Presentation Award (CSJ Chemical Festa 2016) Best Oral Presentation Award (39th Chemoinformatics Symposium, 2016) He has also contributed to educational materials, including a 12-part series on machine learning applications in chemistry and co-authored books on cheminformatics and materials informatics.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۲ مورد دیگر

Daisuke Kawahara is a Professor at Waseda University's Faculty of Science and Engineering and a Visiting Professor at the National Institute of Informatics. He holds a PhD in Informatics from Kyoto University (2005) and has previously served as Associate Professor at Kyoto University and Senior Researcher at NICT. His research spans natural language processing, computational linguistics, and AI infrastructure. Education: Ph.D. in Informatics, Kyoto University (2005) Graduate Studies in Intelligent Informatics, Kyoto University (1999–2002) M.Eng. in Electronic & Communication Engineering, Kyoto University (1997–1999) B.Eng. in Electrical Engineering, Kyoto University (1993–1997) Research Focus: Kawahara specializes in NLP, including syntactic parsing, semantic role labeling, language resource development (e.g., JGLUE benchmark), and multilingual corpus construction. His work integrates machine learning with linguistic theory to improve text understanding systems, error correction tools, and dialogue agents. Publication Trends: His recent articles emphasize Japanese and Chinese NLP, neural network-based parsing, and practical applications like educational tools and pandemic information systems. Common themes include benchmarking, corpus annotation, and cross-lingual adaptation. Awards: 情報処理学会 自然言語処理研究会 優秀研究賞 (2025) 言語処理学会最優秀論文賞 (2024, 2023) 科学技術分野の文部科学大臣表彰 (2017) Multiple Best Paper Awards from NLP conferences (2000–2025) Projects & Advising: He leads JSPS-funded projects like Building General Language Understanding Infrastructure (2021–2025) and Acquisition of Knowledge Frames (2018–2021). No student advisees are listed. Labs & Teams: Collaborates with RIKEN Center for Advanced Intelligence Project and maintains ties to Kyoto University's NLP lab. Focuses on large-scale language modeling and collaborative AI-human intelligence frameworks.

• Learning Support System
• Intelligent Informatics
• Human Interface and Interaction
• +۱ مورد دیگر

Ruichen Cong is currently an Assistant Professor (without tenure) at Waseda University's School of Human Sciences and a Guest Lecturer at Tokyo City University. He earned his Bachelor's, Master's, and Doctorate in Human Sciences from Waseda University (2020, 2022, 2025). Graduate School of Human Sciences, Waseda University (2022-2025) Graduate School of Human Sciences, Waseda University (2020-2022) School of Human Sciences, Waseda University (2016-2020) His research focuses on health informatics, intelligent informatics, and human-computer interaction. He specializes in causal discovery, feature selection, and decentralized systems for health data sharing. His work includes wearable device data analysis, cognitive load measurement, and accessibility technologies. Recent publications highlight his expertise in causal graphs for health risk factors, blockchain-based data sharing, and pandemic-related youth healthcare strategies. He applies machine learning to multidimensional health data and designs systems for people with disabilities. Scientific Awards: Research Encouragement Award, 65th Japanese Society of Social Medicine Annual Meeting (2024) Overseas Travel Expense Support, Japan Science and Technology Foundation (2023) Ogawa Memorial Foundation General Scholarship, Waseda University (2021) Ruichen Cong has received grants for projects including multimodal health data analysis, blockchain-integrated health systems, and barrier-free infrastructure. He actively contributes to academic societies like IEEE and JSAI. He serves as Program Chair for the 2025 International Workshop on LLM and Agentic AI and participates in IEEE and ACM conference committees. His teaching includes Data Science Literacy at Tokyo City University and TA roles for courses like Algorithms, Human-Computer Interaction, and Data Literacy.

• Quality Management
• Safety Engineering
• Social Systems Engineering
• +۳ مورد دیگر

Professor Masahiko Munechika is affiliated with Waseda University's School of Creative Science and Engineering as a faculty member. He holds a Doctor of Engineering from the University of Tokyo and has been actively involved in quality management, safety engineering, and healthcare systems research for over 30 years. Current academic rank: Professor Primary research domains: Quality Management, Healthcare Safety, Social Systems Engineering Research focus spans multiple disciplines: Healthcare Safety Engineering: Systematically analyzing medication incidents, developing error-proofing methodologies, and establishing business continuity protocols during disasters Quality Management Systems: ISO 9001 implementation in healthcare, standardization frameworks, and cross-industry application of quality principles Kansei Engineering: Investigating how package design elements influence consumer perception and product evaluation Article trends demonstrate consistent focus on medical error prevention (2013-2021), disaster response systems (2016-2021), and quality management methodologies (2014-2024). Recent publications extend quality control principles to architectural coatings evaluation (2024) and process standardization in healthcare. Scientific recognitions include: Deming Prize Committee membership (2004-2024) Multiple Best Paper Awards (2012-2019) Nikkei Quality Control Literature Award (2010, 2015) Industrial Standardization Commendation (2015) As an educator , he has contributed to medical safety education and developed standardized clinical training tools including Kiken Yochi Training sheets and PCAPS (Patient Condition Adaptive Path System). His work spans both theoretical and applied domains across healthcare , manufacturing , and public infrastructure sectors.

• Social Systems Engineering
• Social Informatics
• Artificial Intelligence
• +۳ مورد دیگر

Yuya IEIRI serves as an Assistant Professor (non-tenure-track) at Waseda University's Graduate School of Information, Production, and Systems since 2022. He holds a Ph.D. in Engineering from Waseda University (2021) and has held various research positions including a Visiting Research Fellow at University of Surrey and JSPS Research Fellow. His academic work bridges social systems engineering, information technology, and community development. Dr. IEIRI's research focuses on Social Systems Engineering, Social Informatics, Artificial Intelligence, Human-Computer Interaction, Tourism Informatics, and Internet of Things. His work particularly examines how digital technologies can revitalize commercial districts, analyze tourist behavior, and create value in local communities. His research employs network science, augmented reality applications, and consumer behavior analysis to address real-world community challenges. His publication record demonstrates consistent output with 31 papers indexed in Scopus (60 citations, h-index 4) and 98 citations in Google Scholar (h-index 5, i10-index 3). His recent work shows a clear trajectory toward analyzing second-hand luxury markets using network motif analysis, community management in low-digitalized environments, and tourism resource development. Notable Awards: Teaching Award (Spring 2022) and 2023 Waseda University Technical Writing & Presentation Multiple Best Presentation Awards at international conferences (2020-2022) 7th FOST Newcomer Award (2020) Azusa Ono Memorial Award from Waseda University (2019) Dr. IEIRI actively contributes to academic service as a peer reviewer for the International Conference on Collaboration Technologies and Social Computing and as a navigator for the Kitakyushu Future Creation Seminar. He has received research funding from JST PRESTO, JSPS Grants-in-Aid, and other foundations to support his work on social capital development, tourist route design, and community computing systems. His teaching portfolio includes Probability and Statistics, Fundamentals of Industrial and Management System Engineering, Technical Writing & Presentation, and Special Exercises in Community Computing at Waseda University's Graduate School of Information, Production, and Systems.

• Biophysics
• Chemical Physics
• Soft Matter Physics
• +۷ مورد دیگر

Atsuko Takamatsu is a Professor at the School of Advanced Science and Engineering of Waseda University. Her work bridges biophysics, mathematical biology, and nonlinear dynamics through experimental and theoretical studies of biological systems. PhD in Science from Tokyo Institute of Technology Key memberships: Japanese Society for Mathematical Biology, Physical Society of Japan, Biophysical Society of Japan Research Interests focus on: Biological Pattern Formation in Physarum slime mold and cyanobacteria Coupled Oscillator Systems (cilia, cellular oscillations) Cell Competition Dynamics and its role in tissue homeostasis Hydrodynamic Interactions in left-right symmetry determination Article Trends reveal expertise in mathematical modeling of biological networks, with applications to Physarum transport systems, ciliary synchronization, and cellular decision-making. Notable work includes uncovering how minimal ciliary systems generate embryonic symmetry and modeling energy-efficient biological networks. Research Projects funded by Japan Society for the Promotion of Science include studies on: Chrono-health science and irregular lifestyle effects Spatio-temporal oscillation patterns in slime mold Cell competition mechanisms in Drosophila Adaptive network morphology in Physarum Her bio-inspired algorithms (e.g., Physarum-based transport optimization) demonstrate practical applications of biological principles to engineering challenges.

• Atmospheric and hydrospheric sciences
• Intelligent informatics
• High performance computing
• +۲ مورد دیگر

TAKAHASHI, Keiko is a Senior Researcher at the Research Organization for Nano & Life Innovation, affiliated with the Research Council. Her research spans atmospheric and hydrospheric sciences, intelligent informatics, high-performance computing, computational science, and human geosciences. Publications: She has authored 72 papers, accumulating 1,467 citations with an h-index of 24.

• Mechanics and mechatronics
• Robotics and intelligent systems
• Rehabilitation science
• +۵ مورد دیگر

Hideyuki Sawada is a Professor at Waseda University's School of Advanced Science and Engineering, Faculty of Science and Engineering. He has been in this position since April 2017, following 7 years as a Professor at Kagawa University (2010-2017) and 11 years as an Associate Professor there (1999-2010). His academic career also includes visiting professorships at Universite de Savoie in France (2005, 2009) and previous research positions at Waseda University. His educational background is deeply rooted at Waseda University: Ph.D. in Pure and Applied Physics, Waseda University Graduate studies in Pure and Applied Physics, Waseda University (1995-1998) Graduate studies in Pure Physics and Applied Physics, Waseda University (1990-1992) Bachelor's degree in Applied Physics, Waseda University (1986-1990) Professor Sawada's research spans multiple interdisciplinary fields with a strong focus on robotics, human-computer interaction, and intelligent systems. His work bridges mechanical engineering, information science, and biomedical applications, with particular emphasis on tactile sensing, biomimetic robotics, and 4D space visualization. His laboratory actively explores shape memory alloy (SMA) applications in robotics, self-propelled droplet systems, and novel human interface technologies that enhance virtual reality experiences. His recent publication trends show a strong focus on tactile interfaces using shape memory alloys, self-propelled droplet systems leveraging Marangoni convection, continuum robotics for medical applications, and human-in-the-loop machine learning for robot control. These publications demonstrate his laboratory's interdisciplinary approach that combines fluid dynamics, robotics, and human perception studies. Professor Sawada has received numerous prestigious awards recognizing his research contributions: Best Paper Award Finalist at IEEE International Conference on Mechatronics and Automation (2025) Certificate of Editors' Choice from Biomimetic Intelligence and Robotics Journal (2025) Specially Selected Paper award from Information Processing Society of Japan (2024) Award for excellence in interdisciplinary research from The Japan Society of Mechanical Engineers (2024) Best paper award at the 7th International Conference on Sustainable Information Engineering and Technology (2022) Professor Sawada actively mentors students and researchers, as evidenced by numerous student awards where he appears as an advisor. His laboratory has secured funding for various research projects in robotics, human interface technology, and biomimetic systems. He serves on multiple editorial boards and program committees for international conferences, demonstrating his leadership in the academic community. His research group maintains strong international collaborations, particularly with institutions in France and Southeast Asia. His laboratory focuses on several key research directions: the development of SMA-based tactile interfaces and sensors, self-propelled droplet systems for micro-transport applications, continuum robotics for medical use, and 4D space visualization systems. The lab maintains strong industry connections, particularly in medical robotics and human interface technology development.

Ryo Kobayashiمشاهده پروفایل

دانشیار

• Computational Materials Science
• Molecular Dynamics Simulation
• Solid State Ionics
• +۴ مورد دیگر

Ryo Kobayashi serves as Associate Professor in the Department of Applied Physics within the Graduate School of Engineering at Nagoya Institute of Technology. His research focuses on computational materials science with emphasis on molecular dynamics simulations for solid-state ionics and battery materials development. His work bridges fundamental atomic-scale phenomena with practical energy storage applications. Doctor of Science from Chiba University (2001) Assistant Professor at Nagoya Institute of Technology (2006-2023) Associate Professor at Nagoya Institute of Technology (2023-present) Kobayashi's research centers on computational materials design, particularly using molecular dynamics to investigate ion transport mechanisms in solid electrolytes, ferroelectric materials, and cementitious systems. His work develops high-throughput methods for force field parameterization and examines nanoscale phenomena in battery materials. Recent studies analyze grain boundary effects in ionic conductors, polarization switching in ferroelectrics, and dehydration processes in construction materials. His publication record shows strong focus on solid-state ionics and computational materials science, with significant contributions to understanding Li/Na-ion transport mechanisms in next-generation battery materials. Recent work combines machine learning potentials with traditional molecular dynamics to accelerate materials discovery. Award for Encouragement of Research in Materials Science (2011) Kobayashi leads multiple competitive research grants including MEXT Innovative Areas projects on local ionic conductivity analysis in solid electrolytes and reaction force field development for electrode interfaces. His teaching includes Solid State Physics II, Quantum Mechanics Seminar, and Applied Physics Experiments. He actively contributes to industry through workshops on materials informatics for corporate researchers and educational outreach to high school students on nanoscale computer simulations. His laboratory maintains active collaborations with national research institutions and develops computational tools like the fitpot program for force field optimization and pmd for molecular dynamics simulations.