My research focuses on fire safety science and engineering, with particular interests in fire dynamics simulation, artificial intelligence, new energy fire safety, and offshore fire safety. I use computational fluid dynamics, full-scale fire experiments, performance-based fire safety analysis, and data-driven methods to investigate flame spread, smoke movement, heat transfer, thermal damage, and failure mechanisms in complex engineering systems. My current work emphasizes emerging fire risks associated with photovoltaic systems, building-integrated photovoltaics, lithium-ion battery energy storage systems, offshore wind power platforms, and marine energy infrastructure. I am also interested in integrating fire dynamics theory with machine learning, computer vision, natural language processing, and knowledge graphs to develop interpretable models for fire risk identification, fire behavior prediction, early warning, and safety decision-making. Through the combination of simulation, experiments, artificial intelligence, and standardization research, I aim to support safer low-carbon energy applications, resilient infrastructure, and more scientific fire safety design and regulation.
My research focuses on fire safety science and engineering, with particular interests in fire dynamics simulation, artificial intelligence, new energy fire safety, and offshore fire safety. I use computational fluid dynamics, full-scale fire experiments, performance-based fire safety analysis, and data-driven methods to investigate flame spread, smoke movement, heat transfer, thermal damage, and failure mechanisms in complex engineering systems. My current work emphasizes emerging fire risks associated with photovoltaic systems, building-integrated photovoltaics, lithium-ion battery energy storage systems, offshore wind power platforms, and marine energy infrastructure. I am also interested in integrating fire dynamics theory with machine learning, computer vision, natural language processing, and knowledge graphs to develop interpretable models for fire risk identification, fire behavior prediction, early warning, and safety decision-making. Through the combination of simulation, experiments, artificial intelligence, and standardization research, I aim to support safer low-carbon energy applications, resilient infrastructure, and more scientific fire safety design and regulation.