جست‌وجوی استاد و پژوهشگر

• Early Modern France
• Commerce
• Maritime History
• +۵ مورد دیگر

Hiroyasu Kimizuka is a Professor at Waseda University's Faculty of Social Sciences, specializing in Early Modern European history with a focus on French maritime and socio-economic systems. He holds a Ph.D. from the University of South Brittany (France) and has been affiliated with Waseda University since 2015. His academic roles include teaching graduate courses on socio-economic historical research and undergraduate courses on European social history. Ph.D. in History, University of South Brittany (2014) His research intersects maritime history and socio-economic systems, emphasizing 18th-century French commerce , consumption patterns , and transatlantic trade networks . His publications and presentations analyze wine distribution, sardine trade, port activities, and tavern economies, revealing the dynamics of merchant communities and their role in shaping economic landscapes. Recent publications explore the Atlantic economy ( Morals and the Economy seen from Taverns , 2024) and coffee networks (2022). His work often combines archival analysis with comparative perspectives, including cross-regional studies between France and Japan. 2023 Waseda Research Award Kimizuka leads research projects funded by Japan Society for the Promotion of Science, including studies on seafood trade in Languedoc (2021-2024) and global seafaring networks (2016-2020). He also engages in sub-affiliated roles at Waseda's Global Education Center and School of Culture, Media and Society.

• Finance
• Financial Engineering
• Corporate Finance
• +۳ مورد دیگر

Professor Yasunori Katsurayama at Waseda University's Faculty of Social Sciences is a leading scholar in finance and financial engineering with over 30 years of research experience. His work combines mathematical modeling with empirical analysis to address corporate finance challenges, particularly in Investment decision timing Credit risk valuation Real options frameworks . His research spans 1989-2025 with significant contributions to real options analysis , credit risk modeling , and portfolio optimization . Key trends in his 15 most recent papers show increasing focus on Stochastic investment timing Japanese market reforms Credit rating inconsistencies Technology-driven R&D valuation . As concurrent researcher at Waseda Research Institute for Science and Engineering (2024-2025) and director of the Institute for Motivation Science, he bridges finance with broader data science initiatives. His teaching portfolio includes Corporate Finance , Computational Finance , and Business Management courses at both undergraduate and graduate levels.

• Forest Science
• Social-ecological systems
• REDD+
• +۶ مورد دیگر

Motoshi Hiratsuka is a Professor at Waseda University's School of Human Sciences, Faculty of Human Sciences, with expertise in forest environmental science. His academic journey began with undergraduate studies at Waseda University (1996-2000), followed by master's (2001-2003) and doctoral studies (2003-2006) in Human Sciences. Academic Background: Ph.D. in Human Sciences, Waseda University (2003.04-2006.03) Master's in Human Sciences, Waseda University (2001.04-2003.03) Bachelor's in Human Sciences, Waseda University (1996.04-2000.03) Hiratsuka's research focuses on social-ecological systems and forest science, with particular emphasis on REDD+ projects, biomass assessment, sustainable forest management, and the relationship between forest resources and local communities across Japan, Laos, Myanmar, and Indonesia. His work bridges ecological science with social science perspectives to develop effective conservation approaches. His recent publications examine frog assemblages in traditional rice paddies, socioeconomic aspects of non-timber forest product utilization, and REDD+ impacts on greenhouse gas emissions. With 19 Scopus-indexed papers and a Google Scholar h-index of 8, his research has significant impact in forest environmental science. Scientific Recognition: Journal of Forest Research Award (2023) Inoue Research Encouragement Award (2007) Azusa Ono Memorial Award (2003) Hiratsuka serves on multiple environmental committees including the Tokorozawa City Green Council and Forestry Agency committees. He actively contributes to social initiatives like the Tokorozawa City Card Game "2050 Carbon Neutral" and teaches various forest environmental science courses at Waseda University.

• Signal Processing
• Machine Learning
• Optimization
• +۷ مورد دیگر

Hiroyuki Kasai is a Full Professor at the School of Fundamental Science and Engineering, Waseda University, where he leads research in signal processing, machine learning, and optimization. He holds a B.Eng. (1996), M.Eng. (1998), and Dr.Eng. (2000) in Electronics, Information, and Communication Engineering from Waseda University. His career includes positions as Associate Professor and Professor at the University of Electro-Communications (2007-2019), Senior Policy Researcher at Japan's Cabinet Office (2011-2013), and visiting roles at Technical University of Munich and British Telecom. His research spans: Fundamental methodologies : Riemannian optimization, stochastic gradient algorithms, tensor decomposition Applied domains : Network analysis, multimedia systems, environmental sound processing, video coding Emerging areas : Low-rank modeling, manifold learning, and large-scale anomaly detection His publications focus on efficient algorithms for high-dimensional data, with recent work emphasizing Riemannian manifold optimization and real-time tensor analysis. This includes development of open-source tools like SGDLibrary (MATLAB) and McTorch (PyTorch) for optimization tasks. Awards include: IEEE ICCE Best Paper Award (2011) Yamashita Memorial Award (2003) Ericsson Young Scientist Award (2001) 電気通信普及財団賞 (2015) IEICE Service Recognition Award (2010) He maintains memberships in IEEE, IEICE, IPSJ, and JSIAM, and has contributed to over 100 peer-reviewed publications with significant citation impact (h-index 27 via Google Scholar).

• Data Mining
• Machine Learning
• Information Theory
• +۴ مورد دیگر

Manabu Kobayashi is a Professor at the Center for Data Science of Waseda University, with previous faculty roles at Shonan Institute of Technology (1998-2014). His research spans data mining, machine learning, and information theory, with a focus on applications in document classification, ECOC frameworks, and latent structural models. Current Affiliation: Waseda University (2018-present) Previous: Shonan Institute of Technology (2002-2014) Research Interests: Specializes in distance metric learning, latent class modeling, and fault diagnosis systems using probabilistic frameworks. Key areas include: ECOC (Error-Correcting Output Codes) optimization Collaborative filtering for recommendation systems Reconfigurable logic circuits using DG-CNTFETs Privacy-preserving distributed linear regression Scientific Awards: PC Conference Best Paper Award (2025) World CIST'18 Best Paper Award IEICE Achievement Award (2017) 74th Information Processing Society of Japan Conference Excellence Award (2012) Article Trends: Recent work focuses on latent structure analysis for relational data (2025), ECOC performance with noisy classifiers (2023), and flipped classroom effectiveness through log-based grouping (2022-2025). Earlier contributions include reconfigurable logic circuits (2013-2014) and probabilistic fault diagnosis (2011-2012).

• 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.

• Computer Systems
• Soft Computing
• Combinatorial Optimization
• +۵ مورد دیگر

Kazushi Kawamura is an Assistant Professor at the Tokyo Institute of Technology 's AI Computing Research Unit , with prior roles at Waseda University and the Institute of Science Tokyo. His academic journey began at Waseda University, where he earned a Dr. Eng in 2016. 2025.04 - Now: Assistant Professor, School of Fundamental Science and Engineering, Tokyo Tech 2024.10 - 2025.03: Assistant Professor, School of Fundamental Science and Engineering, Waseda 2020.04 - 2025.03: Specially Appointed Assistant Professor, Institute of Integrated Research, Institute of Science Tokyo His research spans combinatorial optimization , annealing processors , Ising machines , and FPGA-based computing systems . He has contributed extensively to LSI design methodology and high-level synthesis . Key publication trends include neural network compression , parallel annealing algorithms , edge AI inference , and sparse matrix operations on FPGAs. His work often integrates theoretical optimization with practical hardware implementations . 2023 CS Achievement Award 2016 ISOCC Best Paper Multiple Algorithm Design Contest Prizes (2014-2019) IPSJ SLDM Outstanding Student Awards Kawamura teaches courses like Physical Electronics Laboratory and Machine Learning at Waseda, with recent projects such as Amorphica (metamorphic annealer) and Pianissimo (sub-mW DNN accelerator). He serves on committees for IEEE , IPSJ , and IEICE , focusing on system design and circuit optimization.

• Galaxies
• Data Astronomy
• High-redshift Galaxies
• +۵ مورد دیگر

Rhythm Shimakawa is an Associate Professor at Waseda University's Center for Data Science and Institute for Advanced Study, with affiliations to the National Astronomical Observatory of Japan (Subaru Telescope). His career spans roles as a JSPS Overseas Fellow at UC Santa Cruz and NAOJ Fellow at Subaru Telescope. Education: Doctor of Philosophy (2017) from The Graduate University for Advanced Studies (School of Physical Sciences, Department of Astronomical Science), B.Sc. in Science (2012) from Osaka University. His research bridges galaxy formation/evolution, machine learning applications, and citizen science projects like GALAXY CRUISE. Key interests include protoclusters, superclusters, Lyα emitters, environmental effects on galaxies, and gas recycling in high-redshift systems. Recent publications (2024) focus on galaxy size-environment correlations, JWST observations of protocluster AGN activity, and discovery of z=4 quiescent galaxy concentrations. His team uses Subaru Hyper Suprime-Cam data for large-scale structure mapping and molecular gas studies in protoclusters. Scientific awards: SOKENDAI Research Award (2017), SOKENDAI Future Scientist Award (2015) Media coverage includes findings on supermassive black holes in protoclusters, galaxy void kinematics, and citizen-astronomy collaborations. He leads observational campaigns with ALMA, Keck/MOSFIRE, and HST data to study protocluster gas properties and galaxy morphologies.

• Rehabilitation Engineering
• Health Care Engineering
• Robotics
• +۳ مورد دیگر

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

Akira Suzukiمشاهده پروفایل

استاد

• Combinatorial Reconfiguration
• Computational Complexity
• Graph Algorithms
• +۲ مورد دیگر

Akira Suzuki is a Professor at the Center for Data-driven Science and Artificial Intelligence of Tohoku University, Japan. He earned his PhD in Information Sciences from Tohoku University in 2013, advised by Xiao Zhou. His career includes roles as Assistant Professor (2013-2019), Associate Professor (2019-2025), and a visiting student at the University of Waterloo (2013). His research spans combinatorial reconfiguration , computational complexity , graph algorithms , and threshold circuits . Education Bachelor of Engineering (2010), Tohoku University Master of Information Sciences (2011), Tohoku University PhD in Information Sciences (2013), Tohoku University Research interests focus on dynamic algorithmic transitions in combinatorial structures, including reconfiguration frameworks for graph problems, spanning trees, and vertex covers. His work often intersects with parameterized complexity and threshold circuit design . Recent publications emphasize spanning tree optimization , token swapping , and power distribution network reconfiguration . His 15 most recent articles address problems in combinatorial reconfiguration (spanning trees, vertex covers, graph colorings), computational complexity of puzzles, and applications to electrical distribution systems. Keywords include Graph Theory , NP-completeness , and Threshold Circuits . Scientific Awards Tohoku University ECEI Outstanding Performance Award (2012) IEICE Academic Encouragement Award (2013) Inoue Research Award for Young Scientists (2015) Best Paper Award at WALCOM 2025 (2025) Presidential Prize for Educational Excellence, Tohoku University (2024) He contributes to algorithmic education and has collaborated internationally, including with researchers at the University of Waterloo. His work appears in journals like Theoretical Computer Science and Algorithmica , with a focus on bridging theoretical computer science and applied systems.

ISHII Yosukeمشاهده پروفایل

دانشیار

• Nanotechnology
• Materials Science
• Inorganic Chemistry
• +۵ مورد دیگر

Dr. Yosuke Ishii serves as an Associate Professor in the Department of Life and Materials Chemistry at Nagoya Institute of Technology's College of Engineering. With expertise spanning nanotechnology, materials science, and electrochemistry, Dr. Ishii has established himself as a leading researcher in carbon-based nanomaterials and energy storage systems. His academic foundation includes a Doctorate in Engineering (2014) and Master's degree (2011), both earned at Nagoya Institute of Technology where he also completed his undergraduate studies. Dr. Ishii's research program focuses on innovative materials development for next-generation energy technologies: Carbon nanotube applications in battery systems Nanomaterials for photocatalysis and environmental remediation Novel electrode materials for lithium-ion and other battery technologies High-pressure electrochemical measurement techniques Iodine redox reactions for energy storage applications Hydrogen production and storage systems His recent publications (2022-2024) demonstrate significant contributions to the field of energy storage, particularly through the innovative use of carbon nanotubes for improving battery capacity and energy density. Dr. Ishii's work bridges fundamental materials science with practical applications in renewable energy systems, showing strong potential for commercial implementation. Dr. Ishii's achievements have been recognized through several prestigious awards: Electrochemical Society Tokai Branch Young Researcher Special Award (2020) 53rd Tokai Chemical Industry Association Award (2018) The 12th Annual Meeting of the Chubu Branch of the Japanese Society of Surface Science Lecture Encouragement Award (2012) 6th Wakashachi Encouragement Award, Excellent Proposal Award (2012) As principal investigator, Dr. Ishii has secured multiple competitive research grants from the Japanese government, including three consecutive Grant-in-Aid for Scientific Research projects focusing on ultra-high pressure electrochemical measurement methods and their application to battery technology. His research demonstrates strong industry collaboration and has resulted in numerous patents related to battery electrode materials and energy storage systems. Dr. Ishii maintains active membership in several professional societies including the Chemical Society of Japan, Electrochemical Society, Carbon Materials Society, Fullerene Nanotube and Graphene Society, and Japan Society of High Pressure Science, reflecting the interdisciplinary nature of his research program.

Eijiro Sumiiمشاهده پروفایل

استاد

• Programming Languages
• Type Systems
• Process Calculi
• +۳ مورد دیگر

Eijiro Sumii is a Professor at the Graduate School of Information Sciences, Tohoku University, where he has been employed since May 2014. Previously, he served as an Associate Professor at the same institution from May 2005 to March 2014, and as an Assistant Professor in the Department of Computer Science at the University of Tokyo from April 2001 to March 2003. He has also held research positions at the University of Pennsylvania under Professor Benjamin C. Pierce. Dr. Sumii's research focuses on the theoretical foundations and practical applications of programming languages and type systems. His work spans multiple domains including process calculi, partial evaluation, security foundations, and functional programming. He has made significant contributions to the field through his development of MinCaml, an educational compiler, and his Japanese translation of the seminal work "Types and Programming Languages" by Benjamin Pierce. His recent publications demonstrate a consistent focus on programming language theory, with particular emphasis on type systems for security applications, partial evaluation techniques, and functional programming paradigms. The publications reveal a trajectory moving from foundational theoretical work toward more applied security and distributed systems research. Dr. Sumii is highly active in the academic community, having served on program committees for major conferences including ICFP, POPL, PLAS, and ESOP. He has organized numerous workshops and conferences, including serving as program chair for ICFP 2016 and FLOPS 2014. He is the organizer of the PEPT (Partial Evaluation and Program Transformation) mailing list, which serves as an important forum for researchers in this specialized area. His leadership extends to membership in the Global Young Academy since May 2015 and the Young Academy of Japan since November 2010, where he served as Secretary from February 2015.

• Wireless Signal Processing
• Wireless Communication Networks
• Digital Wireless Communications
• +۱ مورد دیگر

Fumiaki Maehara is a Professor at Waseda University's School of Science and Engineering since 2012. His research focuses on wireless communication systems, with expertise in orbital angular momentum (OAM) multiplexing, MIMO techniques, and non-orthogonal multiple access (NOMA). He holds a Doctor of Engineering from Waseda University and has been recognized with multiple awards from IEICE and IEEE. PhD in Electrical Engineering, Waseda University (2001) Master of Engineering, Waseda University (1995) His research interests include wireless signal processing, digital communications, and advanced antenna systems. Recent work emphasizes OAM-MIMO interference cancellation, FTN signaling, and hybrid NOMA/OMA resource allocation. He has co-authored over 120 papers with 710+ Google Scholar citations (h-index 12). Key research trends involve mitigating beam axis misalignment in OAM systems, optimizing guard intervals for UAV communications, and applying deep learning to hybrid multiple access schemes. His work bridges theoretical analysis with practical implementations in 5G/6G and satellite communication systems. Scientific Awards : IEICE ComEX Top Downloaded Letter Award (2024), IEEE Senior Member (2021), IEICE Distinguished Contributions Awards (multiple years) Maehara's students include Shuhei Saito, Hirofumi Suganuma, and Kayo Ogawa, who frequently appear as co-authors in his publications. He has secured grants for projects analyzing OAM propagation, MU-MIMO optimization, and interference management in dense networks.

• Civil Law
• Obligation Law
• Financial Security Law
• +۳ مورد دیگر

Dai Shiraishi is a Professor at Waseda University's School of Law, where he has been teaching and conducting research since 2007, progressing from Research Associate to Assistant Professor, Associate Professor, and finally to full Professor in 2018. He holds a JD from Waseda University and an MBA from Duke University's Fuqua School of Business, reflecting his dual expertise in law and business administration. Faculty of Law, Graduate School of Law Faculty of Political Science and Economics, School of Political Science and Economics Faculty of Commerce, School of Commerce Professor Shiraishi specializes in civil law with particular focus on obligation law, financial security law, and bankruptcy law. His research demonstrates a deep engagement with comparative Japanese-French legal frameworks, especially regarding debt assignment systems, security interests, and bankruptcy proceedings. He has published extensively on these topics, examining both theoretical foundations and practical applications in financial law. His work often bridges traditional civil law concepts with modern financial transaction needs, particularly in the context of digital finance and cross-border transactions. His research output shows consistent scholarly productivity, with numerous publications appearing in leading Japanese legal journals such as Law Classroom, Jurist, and Financial Law Research. His articles frequently analyze recent court decisions and legislative reforms, particularly those related to the Japanese Civil Code revisions and their impact on financial practices. Civil Dispute Resolution Research Fund Bankruptcy and Reorganization Law Research Encouragement Essay Contest (Triple i Takagi Award), Student Division (2011) Professor Shiraishi has secured significant research funding, including multiple Japan Society for the Promotion of Science Grants-in-Aid projects. His current research focuses on the formation of information infrastructure for smart societies and regulatory reform in electronic commerce. He serves on editorial boards for several academic publications and frequently collaborates with international scholars, particularly from France, reflecting his comparative law expertise. His teaching portfolio includes advanced civil law courses, secured transactions law, and specialized seminars for both undergraduate and graduate law students at Waseda University.

• Applied mathematics and statistics
• Basic mathematics
• Quantitative finance
• +۲ مورد دیگر

Daisuke Nakazato is a Professor at the Graduate School of Business and Finance, with sub-affiliation at the Faculty of Commerce. His academic work bridges applied mathematics, statistics, and financial engineering, focusing on quantitative finance and stochastic modeling. Research Interests: His primary research areas include applied mathematics and statistics, with applications in financial modeling, risk management, and queueing theory. His work explores mathematical frameworks for interest rate models, credit risk, and transient behavior in queuing systems. Publication Trends: His research spans computational finance (1990–2000s), with emphasis on derivatives modeling, term structure analysis, and stochastic processes. Collaborative work includes co-authorship with D. Bertsimas and others in operations research. Teaching: Currently teaches advanced courses in computational finance and mathematical finance at the graduate level, including seminars and research guidance for MSc in Finance students.