Artificial Intelligence in Safety Science and Engineering

Xinyan Huang is an Associate Professor of Dept of Building Environment and Energy Engineering at The Hong Kong Polytechnic University. He received his PhD from Imperial College London, MSc from UC San Diego, and BEng from Southeast University, China. Before joining PolyU, he was a Postdoc and Lecturer at the UC Berkeley, where he explored the Microgravity Fire Safety for the International Space Station with NASA. Dr Huang is a Combustion Scientist and a Fire Safety Engineer who has co-authored 180+ journal papers, edited one book, and supervised over 10 Postdoc and 20 PhD students. He is a board member of Int. Association for Fire Safety Science (IAFSS) and Int. Association of Wildland Fire (IAWF), an Associate Editor of Fire Technology and International Journal of Wildland Fire, an editorial member of J. Building Engineering, Fire Safety J. and Fire and Materials, a Chartered Building Services and Fire Engineer, a committee member for HK Fire Safety Code, and High Court Fire Expert. He is a winner of the NSFC Excellent Young Scientists Fund, Bernard Lewis Fellowship and Best Paper Award from Combustion Institute, IAFSS Early Career Award, Ricardo Award from Institute of Physics, HKIE Fire Engineering Grand Award, “5 under 35” and Bono Award from Society of Fire Protection Engineers (SFPE). Jihao Shi is a Research Assistant Professor of Dept of Building Environment and Energy Engineering at The Hong Kong Polytechnic University. received his BEng (First Class) degree and PhD degree from China University of Petroleum in 2013, and 2018, respectively. Dr Shi was also a China Scholarship Council (CSC) visiting PhD student of Curtin University in Australia from 2016 to 2018. Before joining PolyU, he worked as an Associate Professor and Postdoctoral Researcher at China University of Petroleum. Dr Shi’s research interests focus on physics-based AI for process safety management. Based on these research topics, Dr Shi has published 50+ SCI journal papers including 31 papers as the first/corresponding author. His works were funded by National Key R&D Program of China, NSFC and various industrial partners etc. Dr Shi is an associate editor of Petroleum science and served as the chief Guest Editors of Reliability Engineering & System Safety, Process Safety and Environmental Protection. He is also a winner of the Best PhD Thesis of Safety Science and Engineering in China.Ming Yang is an Assistant Professor in the section of Safety and Security Science at Delft University of Technology. His scientific work evolves around reliability, risk, and resilience modelling to support safety and security-related decision-making problems in the process industries and offshore operations. He holds a B.Eng in Chemical and Material Engineering and minor in Management Science, a MSc. in Environmental System Engineering, and a PhD in Oil and Gas Engineering. He is Associate Editor of ACS Journal of Chemical Health and Safety, Subject Editor of Process Safety and Environmental Protection, Safety in Extreme Environments, Editorial Board Member of Journal of Loss Prevention in the Process Industries, Engineering Applications of Artificial Intelligence, and Hygiene and Environmental Health Advances.

• 1. Fundamental of Machine Learning Methods - Basis of Machine Learning2. Advanced Methods of Machine Learning – Strength and Weakness3. Fundamentals in Process Safety4. Accident Modelling and Analysis5. Smart Detection and Localization of Gas Leakage6. Process Fault Diagnosis and Prognosis for Battery Energy Storage7. Advanced Technology in Equipment Maintenance8. Machine Learning in Occupational Health and Safety Monitoring9. AI Application for Smart Emergency Response10. VR and AR Technology for Human Behavior Analysis11. Automated Safety Inspections12. Intelligent Incident Prediction and Prevention

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