Statistical Computing Professors and Supervisors in Japan

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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WATANABE Takeshiمشاهده پروفایل

استاد

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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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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