Atsushi Ishikawa | Energy Sustainability | Research Excellence Award

Dr. Atsushi Ishikawa | Energy Sustainability | Research Excellence Award

Dr. Atsushi Ishikawa | Energy Sustainability | Senior Researcher at Osaka University | Japan

Dr. Atsushi Ishikawa is a senior researcher at IHI Corporation, Japan, recognized for his contributions to advanced energy engineering and industrial decarbonization technologies. He received formal education in mechanical engineering through a complete academic trajectory encompassing undergraduate, master’s, and doctoral training at leading Japanese universities, where his doctoral research established a strong foundation in thermal–fluid sciences and experimental multiphase flow analysis. Professionally, Dr. Atsushi Ishikawa has built a sustained research career within major industrial research and development environments, contributing both as a researcher and engineer to large-scale energy and aerospace-related projects. His professional experience spans thermal energy storage system development, circulating and packed bed technologies, gas–liquid two-phase flow analysis, and applied thermal fluid dynamics for industrial and energy conversion systems, with a clear emphasis on practical deployment and scalability.

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Featured Publications

Robust Flow Regulation Using Orifice and J-Valve Combination in Circulating Fluidized Bed Thermal Energy Storage

– Processes, Multidisciplinary Digital Publishing Institute

Huibo Bi | Energy Sustainability | Research Excellence Award

Dr. Huibo Bi | Energy Sustainability | Research Excellence Award

Dr. Huibo Bi | Energy Sustainability | Assistant Professor at Beijing University of Technology | China

Dr. Huibo Bi is an accomplished academic and applied scientist serving as an Assistant Professor at the College of Metropolitan Transportation, Beijing University of Technology, P.R. China. He is internationally recognized for his contributions to intelligent transportation systems, emergency management, brain-inspired computing, system optimisation, and energy-efficient urban infrastructure. Dr. Huibo Bi received his doctoral training in Electrical and Electronic Engineering from a leading global research university, following advanced postgraduate education in control science and a foundational engineering degree in automation.  Dr. Huibo Bi possesses advanced research skills in data-driven modelling, deep reinforcement learning, graph learning, optimisation algorithms, energy-aware control systems, and large-scale simulation of transportation networks. He has authored 28 documents, 608 Citations, 12 h-index, demonstrating sustained research impact and academic influence.

Citation Metrics (Scopus)

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Citations
608

 Documents
28

h-index
12

🟦 Citations     🟥 Documents    🟩 h-index


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Featured Publications


Learning-based Hybrid Control for Hydrogen-Powered Fuel Cell Bus in Entire Route with Complex Traffic Dynamics


– Expert Systems with Applications, 2026


The Impact of Deep Reinforcement Learning-Based Traffic Signal Control on Emission Reduction in Urban Road Networks Empowered by Cooperative Vehicle–Infrastructure Systems

– Applied Energy, 2025