Computer Science Professors and Supervisors in Japan

Akimasa HirataView profile

Professor

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 ShujiView profile

Professor

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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TAKAHASHI AkiraView profile

Professor

Nagoya Institute of Technology (NIT)Japan

TAKAHASHI Akira is a Professor in the Department of Physical Engineering, Applied Physics Field. He earned his PhD in Science from Kyoto University in 1989. His academic career includes positions as Assistant Professor at Yamaguchi University (1990-1999), Associate Professor at Nara Institute of Science and Technology (1999-2011), and current professorship. Research focuses on quantum dynamics in strongly correlated systems, with emphasis on: Photoinduced phase transitions and ultrafast control of electronic states Terahertz spectroscopy of charge-ordered materials Nonlinear optical phenomena in Mott insulators Quantum lattice fluctuations and metal-insulator transitions Recent publications (2017-2024) predominantly explore terahertz-induced polarization control, charge dynamics in organic conductors (TTF-CA, BEDT-TTF), and computational methods for analyzing optical spectra in strongly correlated systems. Research consistently intersects condensed matter physics, ultrafast spectroscopy, and quantum materials engineering. Secured competitive grants including: JSPS KAKENHI Grant (2023-2026): ¥4.55M for photoinduced phase transitions JSPS KAKENHI Grant (2016-2019): Terahertz polarization control Leads research on light-field responses in correlated systems and collaborates internationally, evidenced by invited presentations at European and Asian conferences.

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WATANABE TakeshiView profile

Professor

Nagoya Institute of Technology (NIT)Japan

Professor Takeshi Watanabe serves in the Department of Applied Physics at Nagoya Institute of Technology's Graduate School of Engineering. Specializing in fluid dynamics and turbulence theory, his research bridges fundamental physics with atmospheric and industrial applications. Education: Doctor of Science (2000.03, Kyushu University) Master of Science (1997.03, Kyushu University) Bachelor's Degree (1995.03, Tokyo University of Science, Faculty of Science, Department of Applied Physics) Watanabe's research focuses on turbulent flows , particularly particle-laden turbulence, cloud microphysics, and passive scalar transport. His work employs advanced computational techniques including direct numerical simulation (DNS) to investigate phenomena like energy dissipation statistics, vortex dynamics, and polymer scission in turbulent environments. Key contributions include modeling turbulence modulation by particles and supersaturation spectra in cloud systems. His publication record demonstrates consistent high-impact contributions to fluid mechanics, with recent articles in Physical Review Fluids and Journal of Fluid Mechanics addressing fundamental turbulence characteristics across diverse applications from atmospheric science to industrial fluid systems. Awards: Fellow Member Certification (Japan Society of Fluid Mechanics, 2023) HPCI Outstanding Research Achievement Award (RIST, 2021) Japan Fluid Mechanics Society Central Chapter Outstanding Presentation Award (2004) As Principal Investigator for multiple competitive grants including JSPS Kakenhi projects (totaling over ¥48 million), Watanabe leads collaborative research on cloud turbulence and particle-fluid interactions. His advisory role extends to high school outreach programs at Nagoya Institute of Technology, demonstrating commitment to science education. Watanabe actively contributes to academic governance as理事 (Board Member) of the Japan Society of Fluid Mechanics and strategic committee member at the National Institute for Fusion Science, where his expertise in turbulence informs plasma simulation research.

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Hirotaka MaedaView profile

Professor

Nagoya Institute of Technology (NIT)Japan

Hirotaka Maeda is a Professor in the Department of Life and Applied Chemistry, Environmental Ceramics at Nagoya Institute of Technology's College of Engineering. His research focuses on environmental ceramics, inorganic materials, and nanotechnology with applications in water purification, energy storage, and biomaterials. Dr. Maeda received his Doctor of Engineering from Nagoya Institute of Technology in March 2006. His professional affiliations include the Society of Inorganic Materials (since 2006), Japanese Society of Inorganic Phosphorus Chemistry (since 2001), and The Ceramic Society of Japan (since 2000). His research interests span multiple domains including environmental ceramics for water purification, solid-state electrolytes for batteries, glass surface engineering, and conversion of biomass into functional materials. His work combines structural science with mimetic approaches to develop novel functional materials. His recent publications demonstrate strong activity in developing materials for environmental applications, particularly in water purification using garnet-based materials and conversion of agricultural waste into carbon materials. His research also extends to solid-state electrolytes for batteries and surface modification of glasses. 65th Society of Inorganic Materials Academic Award (2024) Poster prize winner, International Symposium on Inorganic and Environmental Materials 2018 57th Society of Inorganic Materials Nagai Memorial Encouragement Award (2016) 23rd Japanese Society of Inorganic Phosphorus Chemistry Encouragement Award (2014) 68th Ceramic Society of Japan Progress Award (2013) Dr. Maeda actively mentors graduate students across multiple projects, including research on rice husk conversion, humic acid removal, and solid-state battery materials. He serves on various academic committees including as General Affairs Director for the Japanese Society of Inorganic Phosphorus Chemistry and on the Editorial Committee of the Society of Inorganic Materials. His teaching includes Advanced Materials Creation Seminar, Ceramics Physical Chemistry, and Environmental Materials Special Lecture. His laboratory focuses on capturing phenomena at material surfaces and interfaces to create new functional materials, with particular emphasis on environmental applications and sustainable material solutions.

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Tadashi WadayamaView profile

Professor

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 RyotaView profile

Associate Professor

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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Yoshihiro MizoguchiView profile

Professor

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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