معرفی
Jianfei Xie is a Senior Lecturer in Mechanical and Manufacturing Engineering at the College of Science and Engineering. His research focuses on thermal energy systems, fluid dynamics, and the application of machine learning in engineering. Key areas include thermal energy storage, combustion optimization, and nanomaterials for enhanced heat transfer. He has published extensively on topics such as packed bed reactors, molecular dynamics simulations, and AI-driven predictive modeling for engine performance.
Research Interests:
• Thermal systems engineering
• Nanofluids and phase change materials
• Machine learning applications in energy systems
• Combustion processes and fuel efficiency
• Micro/nanochannel flow dynamics
• High-temperature material characterization
Notable contributions include studies on solar thermal power generation, chaos synchronization using reinforcement learning, and the enhancement of molten salt thermal storage using nanoparticles. His work often bridges computational methods with practical engineering challenges, emphasizing interdisciplinary approaches.
Publications span Energy Conversion and Management, Fuel, and Chaos, Solitons & Fractals, reflecting a strong focus on energy systems and fluid dynamics. While no awards are explicitly mentioned, his prolific output highlights sustained academic engagement in impactful research areas.
