Kazunori Ueda is a Professor at Waseda University's Faculty of Science and Engineering, with a career spanning over three decades in logic/constraint programming, hybrid systems, and concurrency. He has held visiting positions at the Egypt-Japan University of Science and Technology and part-time roles at the University of Tokyo. His research bridges theoretical advancements and practical implementations, focusing on languages like HydLa and LMNtal for hybrid and concurrent system modeling. Research Interests: Logic and Constraint Programming Hybrid Systems Modeling Concurrency and Parallelism Programming Language Design and Implementation Article Trends: Recent works emphasize symbolic simulation of hybrid systems, graph rewriting optimization, and distributed storage reliability. His work integrates interval arithmetic, constraint hierarchies, and formal verification techniques. Scientific Awards: Fellow, Japan Society for Software Science and Technology (2016) Fellow, Information Processing Society of Japan (2015) Basic Research Award, Japan Society for Software Science and Technology (2011) Multiple Best Paper and Encouragement Awards (1985–2010)
Goki Yasuda is an Associate Professor at the Center for Data Science, Waseda University. His research spans statistical science, intelligent informatics, and machine learning, with specialized interests in label noise robustness, semi-supervised learning, and asymptotic analysis of algorithms. He teaches extensively in data science education, including courses like 'Statistics Literacy', 'Data Analysis with Python', and 'Modeling for Data Science' through Waseda's Global Education Center. His research explores foundational machine learning challenges, including: Theoretical analysis of classification under label noise conditions Performance limits of semi-supervised learning with unlabeled data Bayesian inference for misspecified probabilistic models Algorithm optimization for real-world data imperfections Publications demonstrate a strong emphasis on theoretical machine learning (75% of recent work) with secondary focus on applied signal processing for video coding (25% of earlier publications). Research consistently employs statistical methods to address data quality issues in learning systems. He leads research projects including: 'Developing machine learning algorithms for low-quality data' (2022) 'Research on machine learning from data of various quality' (2019) 'Performance evaluation of prediction in half-ranked learning' (2018)
OKAMOTO Eiji is a Professor at the Department of Electrical and Mechanical Engineering, School of Engineering, Nagoya Institute of Technology. His research focuses on quantum cryptography, satellite communications, wireless networks, 5G/6G technology, information security, and Sub-THz imaging. He has made significant contributions to the fields of quantum key distribution, non-terrestrial networks, and secure wireless communications. OKAMOTO received his Doctor of Informatics from Kyoto University in 2003, Master of Engineering in 1995, and Bachelor of Engineering in 1993, all from Kyoto University. Prior to his current position, he worked at the Communications Research Laboratory, Ministry of Posts and Telecommunications (1995-2002), NICT (2011-2013), and Simon Fraser University (2004). Professor OKAMOTO's research interests span multiple cutting-edge areas in communications technology. His work in quantum cryptography focuses on improving information reconciliation for continuous-variable quantum key distribution using polar codes and raptor codes. In satellite communications, he has conducted extensive research on non-terrestrial networks and optical satellite data relay systems. His contributions to wireless networks include developing low-latency communication techniques, advanced multiple access methods, and secure communication protocols. His recent work in Sub-THz imaging has led to innovations in hazardous material identification and complexity reduction methods. Analysis of his recent publications reveals a strong focus on quantum key distribution systems, with multiple papers addressing information reconciliation efficiency. There's also a significant emphasis on non-terrestrial networks for 6G applications, particularly leveraging LEO satellites and optical communications. His research bridges theoretical advances with practical implementations, as evidenced by numerous papers on experimental demonstrations and system implementations. Education Achievement Award from IEICE (2025) Best Paper Award from IEICE Communications Society (2024) Satellite Communication Research Award (2023) Activity Merit Award (Review Committee) (2022) Meritorious Service Award (Research Committee Chair) (2022) Excellent Teaching Award from Nagoya Institute of Technology (2022) IEICE ComEX Top Downloaded Letter Award (2022) IEICE Fellow (2022) Professor OKAMOTO actively mentors numerous graduate students, with recent research involving M1 and M2 students working on quantum cryptography, Sub-THz imaging, and non-terrestrial networks. His laboratory at Nagoya Institute of Technology has received funding for research on quantum cryptography communication (2019), autonomous driving (2014), sensor networks (2009), and optical satellite communication (2008). He has served as a committee member for numerous academic societies including IEEE and IEICE. Professor OKAMOTO leads the Eiji Okamoto Laboratory at Nagoya Institute of Technology, which focuses on creating next-generation mobile and satellite communication systems. The laboratory aims to cultivate independent thinking engineers while developing new wireless (and wired) communication methods to realize a safer, more secure, and more convenient super-smart society. Current research projects include quantum cryptography, Sub-THz imaging for security applications, non-terrestrial networks for 6G, and low-latency communication techniques for autonomous driving and V2X applications.
Synge Todo is a Professor in the Department of Physics, Graduate School of Science at the University of Tokyo , with joint appointments at the Mathematics and Informatics Center , Institute for Solid State Physics , Institute for Physics of Intelligence , Quantum Software Project , and Next-Generation AI Research Center . Born in 1968, he earned his B.Sc. and Ph.D. from the University of Tokyo and subsequently held post-doctoral positions at ETH Zürich. Education Ph.D. (Science), University of Tokyo, 1996 B.Sc. (Physics), University of Tokyo, 1991 Research Interests Todo’s research integrates quantum many-body physics , computational physics , and quantum computing . He develops advanced Monte-Carlo algorithms , tensor-network techniques , and renormalization group methods to study strongly correlated electron systems , lattice QCD , quantum phase transitions , and machine-learning applications in physics . His recent work explores fault-tolerant quantum computing architectures , non-variational quantum ground-state preparation , and universal scaling laws in deep neural networks . Scientific Awards Prizes for Science and Technology, The Commendation for Science and Technology by MEXT Japan (April 2019) Grants & Collaborations He currently leads several JSPS KAKENHI projects, including “ Quantum-circuit design for computational materials science ” (2023-26) and “ Enhancement of detailed-balance-violating MCMC methods ” (2020-24). He also co-leads interdisciplinary teams focusing on data assimilation for materials discovery and scalable high-performance computing . Laboratories & Software Todo heads research activities in the HΦ quantum lattice model solver and the MateriApps portal, providing open-source tools for large-scale simulations in condensed-matter and materials science.
Takashi Kubota is Professor at Waseda University Law School (since 2005) and a leading Japanese authority on international business law, digital currencies, and financial regulation. He earned LL.B. (Tokyo), LL.M. (Tokyo & Harvard) and Ph.D. in International Public Policy (Osaka), and has held visiting appointments at Queen Mary, ANU, Auckland and other overseas institutions. His current five-year JSPS project probes Central Bank Independence and Monetary Sovereignty in the Era of CBDCs . Education Ph.D. in International Public Policy, Osaka University (2003) LL.M., Harvard Law School (1996) LL.M., University of Tokyo Graduate Schools (1993) LL.B., University of Tokyo (1990) Research Interests Kubota’s scholarship sits at the intersection of public and private international law, with particular emphasis on the legal architecture of money, cross-border payment systems, and the extraterritorial reach of financial sanctions. Recent work explores how AI, datafication and CBDCs challenge traditional notions of monetary sovereignty and democratic governance. Publication Trends Since 2020 he has authored over one hundred articles and case-notes, many in leading Japanese journals such as International Business Law . Recurring themes include the legal status of digital currencies, the interplay between anti-money-laundering rules and private law, and comparative analyses of UN and national sanctions regimes. Awards & Recognition The Spirit of the Moot (2008) Policy Impact & Grants Principal Investigator, JSPS KAKENHI grant “Central Bank Independence and Monetary Sovereignty in the Era of CBDCs” (2024-2029) Member, Japanese Ministry of Justice Strategic Committee on International Promotion of Japanese Law (2019-2021) Chair, Society of International Business and Legal Studies (2021-) Labs & Teams Kubota chairs the Society of International Business and Legal Studies and coordinates Waseda’s interdisciplinary research group on digital finance and economic security, which collaborates with central-bank lawyers, computer scientists and policy-makers across Asia-Pacific and Europe.
Noriyuki Aoki is a Professor at Waseda University Faculty of Law (since 2012) and an Adjunct Professor at Keio University Faculty of Law (since 2015). He has also served as a Visiting Professor at Venis International University (2021) and held academic roles at Rikkyo University and Waseda University since 2000. His work focuses on Civil Law , Comparative Law , and Secured Transactions . Research Interests include financial collateral law, American Law, and civil law. His scholarship examines the interaction of global legal standards (e.g., UNCITRAL Model Law, UCC9) with domestic reforms in Japan, particularly in movable and receivables collateral systems, registration priority, and legislative policy. Awards include the WASEDA e-Teaching Award, Grand Award (2021) Waseda University Research Award (2017) Azusa Ono Memorial Academic Award (2001)
Shintaro Osawa is Professor of Civil Law at Waseda University Faculty of Law (2020–) and holds concurrent teaching posts in the Graduate School of Law and the School of Political Science and Economics. After obtaining LL.B. (2003), LL.M. (2006) and Ph.D. in Law (2012) all from Waseda, he served as research associate and lecturer at Waseda, Niigata and Chiba universities before returning to Waseda as Associate Professor (2019–2020). Education: Ph.D. in Law, Waseda University, 2012 M.A. in Law, Waseda University, 2006 B.A. in Law, Waseda University, 2003 Research interests: Professor Osawa’s scholarship focuses on the Japanese and comparative law of obligations, with particular emphasis on guarantee contracts, security rights, bankruptcy, consumer-credit protection, and traffic-accident compensation. His comparative lens draws heavily on French civil law, reflecting his long-standing participation in the Franco-Japanese Law Association and frequent translation and commentary of French doctrinal works. Recent publications analyse over-collateralisation in an ageing society, the reform of Japan’s security-rights registration system, and Supreme-Court precedents on guarantee liability and prescription. He is principal investigator of a JSPS Grant-in-Aid project (2022-2026) entitled “A study of the legal principles regarding excess in the real security system”. Scientific awards & honours: While no competitive academic prizes are listed, Osawa has been an editorial committee member of the Ministry of Land, Infrastructure, Transport and Tourism’s Traffic Accident Counselor Handbook since 2015 and serves as conflict-of-interest management advisor to the Kazusa DNA Research Institute. Teaching & advising: At Waseda he offers introductory and advanced civil-law lectures, specialised seminars on obligations and security rights, and clinical legal-practice courses. The supplied data do not enumerate individual student names. Laboratories & teams: He leads the civil-law group within the Faculty of Law and participates in university-wide research units on secured-transactions reform and consumer-law policy.
Jialong Li is an Assistant Professor (non-tenure-track) at the Waseda Institute for Advanced Study. His research focuses on dynamic responsibility allocation in human-software collaboration, with applications in autonomous driving, robotics, and adaptive systems. He employs techniques such as discrete controller synthesis and large language models to address runtime environmental changes. Key research themes: human-robot collaboration, self-adaptive software, autonomous systems Technical approaches: Discrete Controller Synthesis, LLM integration, reinforcement learning Recent publications emphasize multimodal human-AI collaboration, prompt engineering for software development, and ethical considerations in adaptive systems. His work bridges theoretical modeling (e.g., requirements analysis, stochastic control) with real-world applications like warehouse robotics and color-blind accessibility tools. While no formal awards are listed, his research has been presented at top conferences in software engineering and autonomous systems.
Yasuhiro Mochizuki serves as an Assistant Professor (tenure-track) at the Center for Data Science, Waseda University since April 2022, following six years at RIKEN (2016-2022). His interdisciplinary research bridges neuroscience, cognitive science, and data science to investigate human decision-making processes and mental health mechanisms through computational modeling approaches. PhD in Science, Kyoto University Graduate School of Science (2012-2016) Bachelor's/Master's in Natural Sciences Tripos, University of Cambridge (2006-2010) Dr. Mochizuki's research examines how physical activity influences cognitive and affective processes, with particular focus on risk preference dynamics in changing environments. His work integrates animal foraging theory with human economic behavior, exploring computational markers for depression and anxiety through decision-making paradigms. He investigates how positive memory retrieval affects risk assessment and how exercise intensity differentially impacts creative thinking components. His publication record demonstrates consistent interdisciplinary integration of neuroscience, psychiatry, and data science. Recent papers reveal three dominant trends: computational psychiatry applications for predicting depressive symptoms, cross-species comparisons of decision-making mechanisms, and non-linear relationships between physical activity and mental health outcomes. His methodological approach combines reinforcement learning models, neuroeconomic paradigms, and large-scale longitudinal data analysis. Japan Society for the Promotion of Science Grant: Predicting depressive symptoms from economic decision-making tendencies (2024-2027) Committee Member, Computational Psychiatry Research Society (2023-present) Dr. Mochizuki actively contributes to academic service through multiple professional societies including the Japanese Psychological Association, Society for Neuroscience, and Japanese Neuroscience Society. His teaching portfolio at Waseda's Global Education Center includes Statistics Literacy, Data Science, and Mathematics courses across all quarters. He has developed social outreach activities including mindfulness meditation workshops and media appearances discussing exercise-brain health relationships.
Toshiyasu Matsushima is a Professor at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering. He holds a Doctor of Engineering degree from Waseda University and has maintained an active research career spanning several decades. His educational background includes: 1991: Graduate School, Division of Science and Engineering, Waseda University 1978: Faculty of Science and Engineering, Waseda University Professor Matsushima's research spans multiple disciplines in applied mathematics and information science. His primary research interests include information theory, coding theory, statistical science, learning theory, intelligent informatics, data science, and information security. His work bridges theoretical foundations with practical applications in data compression, machine learning, privacy-preserving technologies, and communication systems. His recent publications demonstrate consistent innovation in Bayesian decision theory, context tree modeling, private information retrieval systems, decision tree algorithms, and image processing techniques. The research shows a clear trajectory toward optimizing algorithms for data analysis while addressing contemporary challenges in privacy-utility trade-offs and handling noisy data environments. Professor Matsushima is an active member of numerous professional societies including the Japanese Society for Industrial and Applied Mathematics, Applied Statistics Society, Operations Research Society of Japan, Quality Control Society, Artificial Intelligence Society, Information Processing Society, Information Theory and its Applications Society, IEEE, and the Institute of Electronics, Information and Communication Engineers. With over 190 publications and a Scopus h-index of 10, his scholarly contributions have established him as a significant figure in information theory and its applications. His research continues to influence both theoretical developments and practical implementations in data science and information engineering.
Masao Yanagisawa is a Professor at Waseda University's School of Fundamental Science and Engineering, with over 25 years of academic experience since 1998. An IEEE and ACM member, he holds a Doctor of Engineering degree from Waseda University.
Yuta Nakahara is an Assistant Professor (tenure-track) at Waseda University's Center for Data Science, where he has been working since 2019. His research focuses on the intersection of information theory, machine learning, and data science, with particular emphasis on Bayesian decision theory and its applications to image compression and decision tree modeling. Dr. Nakahara received his Doctorate from Waseda University's Graduate School of Fundamental Science and Engineering, Department of Pure and Applied Mathematics (2016-2019), following a Master's degree from the same institution (2014-2016) and a Bachelor's degree from Waseda University's School of Fundamental Science and Engineering, Department of Applied Mathematics (2010-2014). His research interests span image coding, machine learning, data science, lossless image compression, error correcting codes, and information theory. Nakahara's work particularly focuses on developing probabilistic models for image generation and compression, with an emphasis on Bayesian approaches that provide theoretical guarantees for optimal performance. His recent work extends these principles to decision tree models for improved uncertainty quantification and interpretability. Analysis of Nakahara's 15 most recent publications reveals a consistent focus on Bayesian methods for modeling hierarchical structures, particularly tree-based models. His work bridges theoretical information theory with practical machine learning applications, especially in image processing and decision systems. A significant thread throughout his research is the development of computationally efficient algorithms that maintain theoretical optimality. Top Reviewers of NeurIPS 2024 (8.6%, 1,304 of 15,160 reviewers) Dean's Award for Fundamental Science and Engineering, Grand Prize (2014) Dr. Nakahara leads the development of BayesML, an open-source Python library implementing Bayesian machine learning models with a unified API based on decision theory. His teaching portfolio includes numerous data science and statistics courses across Waseda University's Global Education Center, reflecting his commitment to data science education. His research is supported by multiple Waseda University Specific Research Grants focused on lossless image compression through probabilistic modeling, with projects running from 2019 to present.
Hirokazu Takahashi is a Professor and Principal Investigator at the Department of Mechano-Informatics, Graduate School of Information Science and Technology, University of Tokyo. He leads the Bio-Intelligence Systems Lab, where his team approaches neuroscience from a mechanical engineering perspective. His research spans multiple scales of neural networks, from dissociated neuronal cultures to rodent and human brains. Born in Sendai, Japan (1975) B.S., M.S., Ph.D. in Mechanical Engineering from University of Tokyo (1998, 2000, 2003) Assistant Professor at Department of Mechano-Informatics (2004) Associate Professor (2019) Professor (2023) His research focuses on reverse engineering the brain to understand neural computation in the cerebral cortex. His lab develops novel experimental methods including high-density microelectrode arrays to obtain large-scale neural data, which is then analyzed using machine learning and AI techniques. Key research areas include emergent computing with dissociated neuronal cultures, auditory system processing in rodents, and epilepsy research in both animal models and humans. The lab investigates how intelligence, consciousness, and fine arts emerge from neural networks at various scales. His recent publications demonstrate significant advancements in understanding spontaneous beat synchronization in rats, physical reservoir computing with living neuronal cultures, and vagus nerve stimulation effects on cortical responses. His work bridges engineering, neuroscience, and informatics to extract design principles of brain function. Engineering Department Head Award (Research) for student Kiki Mamiya Professor Takahashi has supervised numerous students through graduation theses, master's theses, and doctoral research. His lab maintains extensive collaborations with institutions including ETH Zurich, Maxwell Biosystems, Monash University, and NTT. His research is funded through various grants supporting interdisciplinary work at the intersection of mechanical engineering and neuroscience. The Bio-Intelligence Systems Lab operates at the cutting edge of neural engineering, developing technologies such as high-density CMOS arrays with 10,000 recording sites and creating bio-silicon hybrid sensors. The team investigates neural representation with functional maps, learning-induced plasticity, auditory streaming, and mismatch negativity. Current projects include studying the effects of music on brain activity, developing seizure detection algorithms, and exploring the mechanisms of vagus nerve stimulation.
Yasuhiro Akiyama is a Professor at the Faculty of Law, School of Law at Waseda University, where he has established himself as a leading scholar in Civil Law, particularly specializing in Property Law, Urban Planning Law, and Land Law. Holding a Master of Laws from Waseda University, Professor Akiyama has made significant contributions to Japanese legal scholarship through his extensive publications, committee memberships, and professional engagements with governmental bodies. Professor Akiyama completed his graduate studies at Waseda University Graduate School, Division of Law in 2000. His academic journey has led him to become a prominent figure in Japanese civil law, with particular expertise in property rights and land use regulation. He maintains active affiliations with multiple faculties including the Faculty of Law, Graduate School of Law, Faculty of Commerce, and Faculty of Political Science and Economics at Waseda University. Professor Akiyama's research focuses primarily on Civil Law with special emphasis on Urban Planning Law and Land Law. His scholarly work examines the complex interplay between private property rights and public regulatory frameworks, particularly in the context of urban development and land management. He has extensively analyzed issues such as neighboring relations, easements, shared property management, land subdivision, and the legal frameworks governing landlocked properties. His research bridges theoretical legal analysis with practical applications, addressing contemporary challenges in land management, particularly in Japan's context of population decline and aging society. Professor Akiyama has paid special attention to the intersection of civil law and urban planning, examining how legal frameworks can adapt to address modern challenges in land use and property rights. His recent publications demonstrate a consistent focus on the practical application of civil law principles to real-world land management issues. The trends in his work show increasing attention to the challenges posed by Japan's demographic changes, with particular focus on how property law can adapt to address issues of vacant properties, land with unknown owners, and sustainable land management. His scholarship often examines the relationship between specific civil code provisions and specialized legislation, demonstrating how these legal frameworks interact in practice. Director of the Condominium Management Center (Public Interest Incorporated Foundation) since 2018 Apartment Management Specialist Examination Committee Member since 2014 Member of the Rent Subcommittee of the Management Issues Discussion Group, Urban Renaissance Agency Ministry of Justice Bar Examination Examiner (2019-2023) Committee member for case study group on promoting smooth installation of drainage facilities (2021-2022) Member of the Supreme Court Bid Monitoring Committee (2012-2020) Professor Akiyama has been actively involved in numerous research projects funded by the Japan Society for the Promotion of Science, particularly those examining the intersection of civil law and urban planning. His work on the "2042 issue regarding fixed-term land leases" demonstrates his commitment to addressing practical legal challenges with scholarly rigor. His comparative legal research in Germany has enriched his scholarly perspective on land law issues. As a professor at Waseda University, he contributes significantly to legal education through various courses including Advanced Civil Law, Civil Law Lectures, and specialized seminars on Civil Law, providing students with deep insights into property law and its practical applications.
Tsuyoshi Arai is a Professor at the School of Commerce, Waseda University, specializing in Civil Law with a focus on Real Estate Law , Lease Law , and Environmental Law . His career spans multiple institutions, including Dokkyo University and Osaka Gakuin University. Doctoral Program in Civil Law, The University of Tokyo Master of Law, The University of Tokyo Waseda University School of Law alumni His research explores the intersection of Carbon Neutrality , Low-carbon Hydrogen , and legal frameworks, alongside Bank Transfer Fraud Relief Act compliance and Depositor Protection . Recent publications analyze Mortgage Enforcement , Rent Claims , and Climate Litigation dynamics. Key awards include the Waseda University Teaching Award President's Award (2025). Current projects examine Climate Change Governance and Personal Guarantees for Real Estate Tenants , while his teaching portfolio covers Civil Law and Business Law courses for diverse audiences. Real Estate Law Research (2024) : Textbook development for Overview of Real Estate Law Reexamination of Personal Guarantees (2022) : Advocating institutional guarantees over personal liability Climate Governance Projects (2023-2029) : Multilateral approaches to low-carbon energy systems
