جست‌وجوی استاد و پژوهشگر

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

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

• Applied Probability
• Operations Research
• Computational Biology
• +۴ مورد دیگر

Hiroshi Toyoizumi is a Professor at Waseda University's Faculty of Commerce and Graduate School of Accountancy, with a Ph.D. in Mathematical Physics from Waseda University. His work bridges Applied Probability , Operations Research , and Computational Biology , focusing on stochastic modeling across biological and network systems. Research Interests Stochastic Models in Biology : Analyzing social queues in hover wasps and meiotic DSB regulation using quasi-birth-death processes and survival analysis. Network Security : Modeling computer virus spread on scale-free networks and proposing active defense strategies. Queueing Theory : Developing analytical frameworks for on-demand streaming, quantum merging, and blockchain-based systems. Article Trends Recent work (2020-2024) explores nonlocal diffusion , quantum queueing , and swarm behavior in financial markets . Mid-2010s studies focus on cooperative breeding and DNA recombination dynamics . Early papers (pre-2010) examine computer virus ecology , secure group communication , and deterministic queue analysis . Scientific Awards Biotechno 2013 Best Paper Award IEICE Switching Workshop SSE Research Award (1999) IEICE Young Research Engineer Award (1997) Teaching Activities Graduate-level courses in Operations Research and Financial Engineering . Undergraduate and graduate seminars in Applied Mathematics and Probabilistic Models .

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.

• Quantum Optics
• Cavity Quantum Electrodynamics (QED)
• Nanophotonics
• +۷ مورد دیگر

Takao Aoki is a Professor at the School of Advanced Science and Engineering , Waseda University. His research focuses on Quantum Optics , Nanophotonics , and Quantum Information Science , particularly in cavity quantum electrodynamics (QED) systems with nanofiber optics and microtoroidal resonators. Key Research Areas : Semiconductors, optical properties of condensed matter, atomic physics, quantum computing, and photon pair generation. Notable Projects : Japan Society for the Promotion of Science grants for time-domain-multiplexed quantum cluster states and nonlocal coherent coupling in cavity QED systems. Recent publications highlight advancements in single-photon sources , coupled-cavity QED , and graphene optical nonlinearity . His work has enabled ultra-low-loss tapered optical fibers and high-fidelity quantum teleportation , contributing to scalable quantum technologies and secure optical communications. Scientific Awards : 2024 Waseda Research Award 2018 Waseda Research Award He has supervised master's research and taught courses in Optics , Quantum Electronics , and Advanced Quantum Optics . His patents include quantum computing units, photon generators, and entanglement devices.

• Human geosciences
• Foundations of Life
• Bio-philosophy
• +۴ مورد دیگر

Yukio Gunji is a Professor at Waseda University's School of Fundamental Science and Engineering since 2014, with prior 27-year tenure at Kobe University. Holding a Ph.D. in Science from Tohoku University, he bridges Cognitive Science Quantum Logic Bio-inspired Computing Swarm Dynamics through interdisciplinary research. His work reveals quantum-like cognitive structures via Orthomodular lattices from rough set analysis Inverse Bayesian inference systems Asynchronous cellular automata models explaining phenomena like free will paradoxes , virtual agent persuasion , and Physarum plasmodium decision-making . Analysis of 15 recent articles shows strong focus on Lévy walk patterns in ants and fish schools, self-avoiding walk algorithms , and nonlocal cognitive models . Key contributions include Developing Extended Bayesian Inference frameworks Formalizing trilemma structures in consciousness studies Creating heterarchical market models with critical behavior while his Virtual Hand experiments challenge ownership perception boundaries through squeeze machine studies.

• Quantum Computing
• Quantum Information Theory
• Quantum Algorithms
• +۶ مورد دیگر

Seiichiro Tani is a Professor at Waseda University's Faculty of Education and Integrated Arts and Sciences since April 2024. He previously held prominent roles at NTT Communication Science Laboratories (2003-2024), including Leader of the Computing Theory Research Group and Project Manager of the Research Center for Theoretical Quantum Information. He has also served as a Visiting Professor at Tokyo Institute of Technology (2022-2024) and a researcher at JST's ERATO projects (2004-2009). His academic journey includes a Ph.D. in Computer Science from the University of Tokyo (2006), preceded by M.E. and B.E. degrees from the University of Tokyo and Kyoto University, respectively.

• Quantum Computing
• Quantum Open Systems
• Non-equilibrium Statistical Mechanics
• +۲ مورد دیگر

Tatsuhiko Shirai is an Associate Professor (non-tenure-track) at the Waseda Institute for Advanced Study, Waseda University, specializing in quantum computing and quantum open systems. His research focuses on developing algorithms for quantum and Ising machines to solve complex combinatorial optimization problems, as well as studying fundamental aspects of non-equilibrium quantum dynamics. His educational background includes: Doctoral Program, Department of Physics, Graduate School of Science, The University of Tokyo (2013-2016) Master's Program, Department of Physics, Graduate School of Science, The University of Tokyo (2011-2013) Bachelor's Degree, Department of Physics, Faculty of Science, The University of Tokyo (2007-2011) Shirai's research spans both theoretical and applied aspects of quantum computing. His primary interests include quantum open systems, where he investigates the dynamics of quantum systems interacting with environments, and quantum computing, where he develops novel algorithms for quantum annealers and Ising machines. His work on non-equilibrium statistical mechanics explores fundamental questions about thermalization in open quantum systems and the emergence of steady states. In practical applications, he has made significant contributions to constrained combinatorial optimization problems, developing techniques like variable reduction methods and multi-spin-flip engineering to improve the performance of quantum and quantum-inspired solvers. His recent publications reveal a strong focus on bridging theoretical quantum physics with practical optimization applications. The research trends show an evolution from fundamental quantum open system theory toward increasingly practical quantum computing applications, particularly in combinatorial optimization. His work spans across quantum simulation, quantum algorithms, Ising machines, and quantum-inspired classical computing approaches, demonstrating a unique interdisciplinary perspective that connects theoretical physics with real-world computational challenges. His notable scientific achievements include: 2022 SLDM Study Group Outstanding Paper Award from the Information Processing Society of Japan 16th Young Scientist Encouragement Award (area 11) from The Physical Society of Japan (March 2022) 197th SLDM Study Group Excellent Presentation Award from the Information Processing Society of Japan (January 2022) Shirai has been actively involved in multiple research projects funded by the Japan Society for the Promotion of Science, including the development of physical property control methods in non-equilibrium quantum open systems (2023-2027), high-performance computing for materials simulation using hybrid quantum-classical algorithms (2021-2024), and construction of analytical methods using typical non-equilibrium steady states (2018-2021). His work has attracted media attention, including coverage on EurekAlert! for his research on multi-spin-flip engineering in Ising machines and novel quantum algorithms for combinatorial optimization. As part of Waseda Institute for Advanced Study, Shirai contributes to an interdisciplinary research environment that fosters innovation at the intersection of physics, computer science, and mathematics. His work on quantum algorithms and quantum open systems forms part of a broader effort to advance both the theoretical foundations and practical applications of quantum information processing.

Tomoyuki Morimaeمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Cryptography
• Theoretical Physics
• +۳ مورد دیگر

body { font-family: Arial, sans-serif; } h2 { color: #333; } ul { list-style-type: disc; padding-left: 20px; } p { margin: 10px 0; } Tomoyuki Morimae Tomoyuki Morimae is an Associate Professor at the Yukawa Institute for Theoretical Physics (YITP), Kyoto University. He specializes in quantum computing and quantum cryptography. Before joining Kyoto University in 2020, he held positions at Gunma University (2014–2015) and was a Lecturer at YITP. Education MSc from The University of Tokyo PhD from The University of Tokyo Research Interests Morimae's research focuses on leveraging quantum properties for computation and cryptography. Key areas include quantum algorithms, cryptographic protocols resistant to quantum attacks, and complexity theory. His work bridges theoretical foundations and practical implementations, emphasizing secure quantum communication and computational advantages over classical systems. Key Contributions Notable publications explore quantum cryptographic primitives (e.g., CountCrypt), quantum group actions, and separations in cryptographic assumptions. Recent work addresses secure key leasing, quantum unpredictability, and revocable digital signatures. Awards Ogawa Publishing Award Young Physicist Prize from the Physical Society of Japan Grants & Teaching He leads projects on quantum computational supremacy and secure cloud quantum computing. Teaches advanced theoretical physics and quantum information seminars at Kyoto University's Graduate School of Science. Labs & Teams Morimae collaborates with researchers like Giulio Malavolta and Takashi Yamakawa on cryptographic protocols and quantum complexity theory.

• Quantum Computing
• Machine Learning
• Theoretical Physics
• +۳ مورد دیگر

Dr. Tsuyoshi Okubo is a Researcher at the Department of Physics, College of Science, University of Tokyo. His work focuses on quantum computing and theoretical physics applications. Research Interests: Quantum algorithms and computer architectures Tensor network methods for quantum field theory Quantum-enhanced ground state preparation Statistical mechanics in neural networks Prominent Research Trends: Recent publications highlight his work across four key areas: Developing quantum computer architectures with separated memory and processing units Applying tensor renormalization group techniques to lattice QCD simulations Advancing non-variational quantum algorithms for physical systems Exploring absorbing phase transitions in deep learning contexts

• Quantum Beam Materials Science
• EUV Lithography
• Nanofabrication
• +۳ مورد دیگر

Takahiro Kozawa is a Professor at the Institute of Scientific and Industrial Research, Osaka University, leading the Beam Materials Science department. His research focuses on quantum beam materials science, particularly in EUV lithography for semiconductor manufacturing, nanofabrication, and machine learning applications for materials design. Osaka University - Institute of Scientific and Industrial Research Beam Materials Science Department Research Interests include: Elucidating chemical reactions induced by quantum beams under extreme conditions (nanoscale, high-temperature/pressure) Development of nanofabricated materials for EUV lithography in semiconductor manufacturing Investigation of stochastic defect mechanisms in photolithography Machine learning for defect shape analysis and resist material optimization Exploration of radiation chemistry in extreme ultraviolet regions and supercritical environments Recent Publications demonstrate his focus on EUV lithography challenges, resist material chemistry, and quantum beam interactions at nanoscales. His work aims to address carbon neutrality through reduced semiconductor power consumption. Collaborations include researchers like Yusa Muroya, Kazumasa Okamoto, and Yuko Ito. The Kozawa Lab develops novel reaction systems for semiconductor applications while investigating fundamental radiation-induced processes in materials.

Synge Todoمشاهده پروفایل

استاد

• Quantum Many-Body Physics
• Computational Physics
• Quantum Computing
• +۵ مورد دیگر

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.

• Fluid Engineering
• Thermal Engineering
• Aerospace Engineering
• +۳ مورد دیگر

Professor Matsuda Yu at Waseda University 's Faculty of Science and Engineering (School of Creative Science and Engineering) is a leading researcher in fluid engineering and aerospace systems. With a Doctor of Engineering from Nagoya University, he has developed innovative measurement techniques for micro/nano-scale phenomena. Current position: Professor, Waseda University (2022-present) Previous roles: Japan Science and Technology Agency (2018-2022), Nagoya University (2008-2018) Research Focus spans thermal engineering , microfluidics , and quantum-inspired data analysis . His recent work involves pressure-sensitive paint optimization, single-particle tracking , and quantum annealing applications for fluid dynamics. Scientific Recognition includes multiple JSME awards, MEXT Commendation for Young Scientists, and the 2025 Ichiro Tanaka Award . His 45+ scientific awards highlight contributions to measurement science and fluid dynamics. Technical Innovations include ambient-light-resistant PSP methods, quantum-optimized sensor placement, and bioluminescent temperature-pressure sensors. His 95+ publications with 1497 Google Scholar citations demonstrate significant impact in microscale flow analysis and nanoparticle dynamics .

• Quantum Computing
• Geospatial Information Processing
• Text Mining

Siya BAO is an Assistant Professor at Waseda University's Faculty of Science and Engineering, focusing on quantum computing applications in combinatorial optimization and geospatial information processing. Currently affiliated with the Green Computing Systems Research Organization, her work bridges theoretical computer science with practical implementations in travel planning, indoor localization, and financial forecasting. Key research interests include: Quantum Computing Geospatial Information Processing Text Mining Based on 15 recent publications, her research trajectory demonstrates: Quantum annealing solutions for multi-day trip planning Machine learning applications in financial time series analysis Advancements in smartphone-based pedestrian dead reckoning Innovations in QUBO model formulation for constrained optimization Scientific recognition includes: DICOMO 2023 Outstanding Paper Award IEEE ICSC 2020 Best Student Opponent 2017 Telecommunications Advancement Foundation Travel Aid Research activities span: Principal investigator for JSPS-funded geospatial optimization projects (2021-2024, 2024-2027) Contributing author to Springer's 'Machine Learning for Indoor Localization and Navigation' (2023) Extensive conference presentation history including IPSJ-ONE 2024 invited talk on quantum computing applications

• Life and Health Informatics
• Computer Systems
• Control and System Engineering
• +۵ مورد دیگر

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.

Duy Hien NGUYENمشاهده پروفایل

استاد

• Mathematical Statistics
• Statistical Computing
• Statistical Learning
• +۴ مورد دیگر

Professor Duy Hien NGUYEN is a computational statistician specializing in modeling heterogeneous processes through finite mixtures of probability measures and regression models, with applications spanning neuroscience, satellite imaging, quantum physics, and fisheries science. His research integrates Mathematical Statistics, Statistical Computing, Bayesian Statistics, and Optimization Theory, focusing on Majorization-Minimization algorithms for statistical optimization and approximate Bayesian inference for intractable data-generating processes. Key application areas include neural/cell biology, satellite/brain imaging, quantum physics, and fisheries population modeling. Dr. Nguyen has developed novel theoretical frameworks for mixture model approximation properties and model selection procedures, collaborating with domain experts to analyze multimodal data from zebrafish brains, human neuroimaging, multispectral satellite imagery, and fisheries stock assessments.