Event
FPE Seminar: Dr.Xinyan Huang, Hong Kong Polytechnic University
Thursday, June 22, 2023
2:00 p.m.
2222 JM Patterson Building and via zoom: https://umd-engr.zoom.us/j/2195912985?pwd=RzVyL3JuUDhyTGRkeHVHQlNlZXVrdz09
Christine O'Brien
301 405 3992
cobrien3@umd.edu
Brief Bio: Dr. Xinyan Huang is an Assistant Professor at The Hong Kong Polytechnic University. He received his PhD from Imperial College London, MSc from the University of California, San Diego, and BEng from Southeast University, China. Before moving to Hong Kong, he was a Postdoc at the University of California, Berkeley. Xinyan’s research Covers Fundamental Combustion, fire dynamics, smart firefighting and energy safety with over 150 journal publications. He is an Associate Editor of Fire Technology and International Journal of Wildland Fire, an editorial member of Fire Safety Journal, Fire and Materials, and a Chartered Engineer. He won the Bernard Lewis Fellowship from Combustion Institute, the Early Career Award from IAFSS, Ricardo Award from the Institute of Physics, and “5 under 35” award from SFPE.
Abstract: Over the past decade, big data and Artificial Intelligence (AI) have enabled new technologies to improve fire safety. The emerging applications of AI enable more intelligent fire detection, fire hazard assessment and real-time fire forecast. This talk will introduce AI methods in fire safety performance-based design and a framework for using Artificial Intelligence of Things (AIoT) sensor networks to help forecast and fight fire. I will also talk about the guidelines for constructing a reliable fire database, propose new concepts for building fire Digital Twin, and review the deep learning algorithms that enable the real-time identification and forecast of fire scenarios.
