Institute of Science Tokyo · School of Environment and Society · 教授

Research keywordsmachine learning・combustion optimization・NOx prediction・wave energy・hydrogen permeability・tire wear particles・biodiesel production・electrocatalysis

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• Hydrogen permeability prediction in palladium alloys and virtual screening of B2 phase-stabilized Pd(100-x-y)CuxMy ternary alloys using machine learning2026 · Materials Today Communications 2026年2月
• Tire Wear Particle and Leachate Induce Oxidative Stress and Reshape the Rice Rhizosphere Soil System: Multi-Omics Evidence of Tissue-Specific Phytotoxicity2026 · Journal of Hazardous Materials 2026年5月
• A Physics-Informed Machine Learning Approach for NOx Emissions Prediction and Optimization in Paper Sludge-derived Hydrochar–Coal Combustion Systems2026 · 2026年
• Identification of tire and road wear particles in artificial water bodies in Japan2026 · Chemosphere 2026年3月

• Personalized Online Adaptive Learning System2020 · 研究課題/領域番号： 20H01719 2020年4月 - 2025年3月
• Regional Energy ModelingTokyo Institute of Technology University
• 薄膜作成（スパッタ法、ＣＶＤ法）・分析資金種別： 競争的資金
• 強誘電体薄膜キャパシタの評価研究開発事業委託費

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