Computer Networks Professors and Supervisors in Japan

Wataru Toyokawaمشاهده پروفایل

پژوهشگر

RIKENJapan

Wataru Toyokawa serves as Unit Leader at the Computational Group Dynamics Collaboration Unit, BTCC, RIKEN CBS, Tokyo, and Research Scientist at the University of Konstanz's Department of Psychology. His interdisciplinary work integrates computational modelling, Bayesian statistics, and real-time behavioural experimentation to investigate human social dynamics and collective intelligence. His academic background includes: PhD in Behavioural Science, Hokkaido University (2015) M.Sc. in Behavioural Science, Hokkaido University (2012) B.Sc. in Fisheries Science, Hokkaido University (2010) Toyokawa's research centers on complex systems and social psychology, examining how individual learning strategies shape collective phenomena like cultural evolution and group decision-making. Using mathematical analysis and online experiments, he explores how social learning mitigates cognitive biases and resolves social dilemmas through computational frameworks. His work bridges evolutionary game theory with real-world behavioural data. Recent publications reveal consistent focus on the tension between individual exploration and social information use in collective intelligence. His studies demonstrate how conformity prevents suboptimal decision cascades and how risk tolerance modulates cooperative behavior in social dilemmas, advancing understanding of human group dynamics in complex environments. His scientific recognition includes: Japan Society for Promotion of Science Fellowships (2012-2019) Multiple Young Researcher Awards from Human Behavior & Evolution Society Japan Best-Poster Award from Japan Ethological Society (2012) EHBEA student travel award (2014) Toyokawa secures competitive funding including Association of Psychological Science Estes Fund grants (2022-2023) for COSMOS summer schools and CASCB Large Project grants for collective foraging research. He mentors postdoctoral researchers while teaching experimental methods, R programming, and seminars on social learning at Konstanz. He leads the Computational Group Dynamics (COGNAC) Unit at RIKEN CBS, developing real-time online experiments using Mechanical Turk and computational tools (R, Stan, JavaScript). The unit's research combines evolutionary game theory with human behavioral data to model cultural transmission and collective problem-solving in dynamic environments.

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Ryo Kobayashiمشاهده پروفایل

دانشیار

Nagoya Institute of Technology (NIT)Japan

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.

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Naoto Tanibataمشاهده پروفایل

استادیار

Nagoya Institute of Technology (NIT)Japan

Dr. Naoto Tanibata is an Assistant Professor at Nagoya Institute of Technology, affiliated with the Department of Life and Applied Chemistry in the Graduate School of Engineering. He also holds a concurrent position at Kyoto University's Catalyst & Battery Elemental Strategy Unit. His research focuses on developing advanced materials for next-generation energy storage systems, particularly solid-state batteries. Dr. Tanibata received his academic training at Osaka Prefecture University: PhD in Engineering (2014-2017) Master of Engineering in Material & Chemical Engineering (2012-2014) Bachelor of Engineering in Applied Chemistry (2008-2012) Dr. Tanibata's research centers on advanced battery materials , with particular expertise in all-solid-state batteries using chloride and other novel electrolytes. His work combines computational materials science with experimental electrochemistry to develop high-energy-density storage solutions. Recent projects have focused on: Design principles for high-voltage chloride-based electrodes using HSAB theory Amorphization strategies for enhancing anion redox reactions Machine learning approaches for battery material discovery and optimization Deformability properties of solid electrolytes to prevent lithium dendrite formation His publication record demonstrates a strong focus on overcoming key challenges in solid-state battery technology, particularly addressing issues of ionic conductivity, interfacial stability, and high-voltage operation. Recent work has increasingly incorporated advanced simulation techniques and machine learning to accelerate materials discovery. Dr. Tanibata has received numerous awards for his contributions to battery research: Battery Technology Committee Award (2024) for 'Redox-level tuning for high-potential chloride electrodes' Best Oral Presentation Award (2024) from the Ceramic Society of Japan ECS Japan Branch Young Researcher Special Award (2024) Multiple Young Research Innovator Encouragement Awards Dr. Tanibata leads multiple research projects funded by prestigious organizations including the Japan Society for the Promotion of Science (JSPS), Fujikura Foundation, and Naito Science and Technology Promotion Foundation. His current research focuses on: Redox-level design for high-energy-density chloride electrodes (JSPS Grant 24K17755, 2024-2029) Establishing design guidelines for high-deformability materials for all-solid-state batteries Verification of amorphization-based anion redox utilization for microgrid applications At Nagoya Institute of Technology, Dr. Tanibata leads research within the Department of Life and Applied Chemistry, focusing on the rational design of solid-state battery materials based on solid-state chemistry principles. His work bridges fundamental materials science with practical battery applications for electric vehicles and grid-scale storage.

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Akimasa Hirataمشاهده پروفایل

استاد

Nagoya Institute of Technology (NIT)Japan

Akimasa Hirata serves as Professor in the Department of Electrical and Mechanical Engineering within the Graduate School of Engineering, concurrently affiliated with the Advanced Medical Physics and IT Research Center. His work bridges engineering and medical applications through computational modeling of electromagnetic-biological interactions. Education: Doctor of Engineering, Communications Engineering, Osaka University (2000) Bachelor of Engineering, Department of Communications Engineering, Osaka University (1996) Hirata's research centers on electromagnetic human exposure safety, with dual focus on thermal and neural stimulation effects. He pioneers multiphysics simulation techniques integrating electromagnetic, thermal, and physiological models to assess health risks from wireless technologies. Current work emphasizes personalized exposure assessment using anatomical models and machine learning, particularly for 5G/mmWave systems and brain stimulation therapies. His heat stroke risk evaluation framework has been adopted in occupational safety standards. Analysis of his 2025 publications reveals strong thematic continuity in electromagnetic safety assessment (60% of works), with growing integration of AI methods (40% of recent papers). Key trends include anatomical model refinement for dosimetry, neural response prediction in brain stimulation, and thermal pain threshold modeling for emerging wireless technologies. Awards: MEXT Science and Technology Prize (Development Division, 2024) Richard R. Stoddar Award from IEEE EMC Society (2023) Japan Open Innovation Award (2022) Japan Academy Medal (2018) Hirata leads major funded projects including the 2021-2025 MEXT grant 'Computational Science Fusion for Brain Deep Stimulation' as Principal Investigator, and serves as coinvestigator on Ministry of Internal Affairs projects assessing 5G exposure thresholds. His international advisory roles include WHO expert consultations and chairing ICNIRP project groups. He directs research at the Advanced Medical Physics and IT Research Center, collaborating with neurologists and occupational health specialists. His team develops open-source anatomical models (e.g., SHARM head models) and heat stress alert systems deployed in Japanese workplaces.

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OGATA Shujiمشاهده پروفایل

استاد

Nagoya Institute of Technology (NIT)Japan

Professor Shuji Ogata serves in the Department of Physical Engineering, Applied Physics Field at Nagoya Institute of Technology's Graduate School of Engineering. His research spans nanomaterials, composite interfaces, and computational materials science with focus on molecular dynamics simulations of ferroelectric systems and polymer-metal adhesion. His educational background includes a Doctor of Science from The University of Tokyo (1991), preceded by undergraduate studies in Physics at the same institution. Key research interests include: Nanomaterials and composite interfaces Ferroelectric domain dynamics in materials like BaTiO 3 Moisture effects on polymer-metal adhesion Hybrid quantum-classical simulation methods Multiscale modeling from electronic to continuum levels Recent publications (2023-2024) demonstrate consistent focus on molecular dynamics simulations of ferroelectric materials and interfacial phenomena, particularly examining domain wall behavior in barium titanate and protonation mechanisms in epoxy resins under wet conditions. His work integrates machine learning potentials and first-principles calculations to address multiscale challenges. Award highlights include: Editors' Pick in Applied Physics Letters (2024) Featured Article in Journal of Applied Physics (2023) Best Technical Paper at Supercomputing 2001 Excellent Achievement Research Project from RIST (2015) His research program includes significant grants from JSPS, MEXT, and NEDO, particularly the "Super-fast development of super-materials" project (2016-2021) and current MEXT initiatives using the Fugaku supercomputer. He advises multiple doctoral students including Hikaru Azuma and Ryo Kobayashi who frequently co-author his recent publications. His Opto-Biotechnology Research Center affiliation enables cross-disciplinary collaborations in materials simulation.

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Tadashi Wadayamaمشاهده پروفایل

استاد

Nagoya Institute of Technology (NIT)Japan

Professor Tadashi Wadayama serves in the Department of Computer Science within the Faculty of Engineering at Nagoya Institute of Technology. He holds a full professorship position and leads research initiatives in coding theory, signal processing, and deep learning applications for next-generation communication systems. Professor Wadayama received his B.E., M.E., and D.E. degrees from Kyoto Institute of Technology in 1991, 1993, and 1997 respectively. He began his academic career at Okayama Prefectural University in 1995 as a research associate and spent 1999-2000 as a visiting researcher at Essen University in Germany. He joined Nagoya Institute of Technology as an associate professor in 2004 and was promoted to full professor in 2010. He maintains active memberships in IEEE and the Institute of Electronics, Information and Communication Engineers (IEICE). His research spans multiple interconnected domains with primary focus on Coding Theory , Signal Processing for Wireless Communications , and Deep Learning applications . Professor Wadayama has made significant contributions to LDPC codes, MIMO signal detection, and the emerging field of deep unfolding techniques that bridge neural networks with traditional signal processing algorithms. His work increasingly incorporates physics-aware modeling of communication channels governed by partial differential equations. Recent research demonstrates strong interdisciplinary integration between information theory, machine learning, and communication engineering principles. Analysis of his recent publications reveals a clear trajectory toward developing foundational technologies for post-Shannon communication architectures. His work emphasizes ultra-large-scale coding, goal-oriented communication, digital homeostasis mechanisms, physics-embedded signal processing, and dual-process learning systems that combine fast reactive processing with deliberative meta-learning using LLM orchestrators. Fundamentals Review Best Author Award, IEICE, 2022 SRC 2010 Paper Award, Storage Research Promotion Organization, 2011 Professor Wadayama has successfully led multiple competitive research grants including JSPS Grant-in-Aid projects. He currently serves as Principal Investigator for the JST CRONOS project "Digital Cybernetics: Towards Next-Generation Communication Architecture" (2025-2031), which aims to develop foundational technologies supporting autonomous, adaptive, and robust large-scale AI systems. As IEEE Information Theory Workshop General Co-chair (2020-2021) and former chair of IEICE's Information Theory Research Committee (2020-2022), he maintains active leadership roles in the academic community. He leads the Wadayama Group at Nagoya Institute of Technology, which focuses on digital cybernetics and communication physics. The group develops physics-aware signal processing implementations, dual-process learning systems, digital homeostasis mechanisms, and system integration for next-generation communication architectures. His team collaborates with researchers from Kyoto University, Hiroshima University, Institute of Science Tokyo, and Tokyo University of Science, creating a robust research ecosystem focused on post-Shannon communication frameworks.

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Kawashima Ryotaمشاهده پروفایل

دانشیار

Nagoya Institute of Technology (NIT)Japan

Kawashima Ryota is an Associate Professor at Chubu University in the Department of Information Engineering, Network Field. He holds a PhD in Information Science from The Graduate University for Advanced Studies (2010) and a Master's in Software Information Science from Iwate Prefectural University (2007). Prior to his academic career, he worked as an R&D Engineer at Stratosphere, Inc. and ACCESS CO., LTD. His research focuses on: High-performance cloud-native networking and NFV infrastructure optimization CPU cache efficiency and I/O parallelization in virtualized environments Transparent acceleration techniques for distributed databases and key-value stores Low-latency solutions for beyond-5G network architectures Recent publications (2020-2024) demonstrate strong emphasis on: Optimizing cloud-native network functions for terabit-class throughput Reducing virtualization overhead through hardware-aware resource allocation Developing proxy-based acceleration layers for NewSQL and distributed KVS Addressing latency/jitter challenges in next-generation networks Awards & Honors: IEEE FNWF'24 Best Paper Award (2024) IEICE ICM Research Award (2023) IEEE NFV-SDN Best Paper Award (2018) IEICE Communications Society Best Paper Award (2017) Research Leadership: Secured competitive grants including JSPS Kakenhi (¥16.9M direct funding) for terabit-class cloud networking research. Mentored award-winning students including IEEE Nagoya Section Excellent Student Award recipient Yuki Taguchi. Active in industry collaborations with Bosco Technologies on NFV efficiency.

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Naoyuki Kamiyamaمشاهده پروفایل

استاد

Kyushu UniversityJapan

Naoyuki Kamiyama serves as a Professor with concurrent appointments across four specialized divisions: Division of Advanced Mathematics Technology; Division of Intelligent Societal Implementation of Mathematical Computation; Division of Strategic Liaison; and Division of Fujitsu Mathematical Modeling for Decision Making. His academic profile centers on theoretical discrete mathematics with direct applications to societal infrastructure systems. Dr. Kamiyama's research fundamentally explores discrete optimization through submodularity (the discrete analogue of convexity) and polyhedral duality frameworks. His scholarly work spans graph theory and computational complexity while actively bridging theoretical advancements with real-world implementation in urban planning, transportation networks, and social system analysis. He emphasizes algorithmic development for complex combinatorial problems encountered in societal decision-making contexts. No scientific awards or honors are documented in the source material. Information regarding student supervision, research grants, laboratory affiliations, or collaborative teams remains unspecified in the provided text.

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Yoshihiro Mizoguchiمشاهده پروفایل

استاد

Kyushu UniversityJapan

Yoshihiro Mizoguchi is a Professor conducting interdisciplinary research at the intersection of theoretical computer science and applied cryptography. His institutional affiliations include: Division of Applied Mathematics Division of Intelligent Societal Implementation of Mathematical Computation (Concurrent) Laboratory of Mathematical Design for Advanced Cryptography (Concurrent) His primary research investigates graph transformations and category theory to develop novel computing paradigms for unconventional and natural computing systems. Key applications include network reliability algorithms, automata theory, and logic programming frameworks. He also pioneers mathematically rigorous approaches to encryption-based information systems, emphasizing dual perspectives of theoretical foundations and practical implementation. Research keywords consistently highlight Software Science, Graph Transformation, and Theory of Computing as core disciplines driving his methodology across both theoretical exploration and secure system design.

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