Guozheng Song
Guozheng Song is a PhD candidate studying in C-RISE under supervision of Dr. Faisal Khan since 2014. His research topic is dynamic integrated risk assessment and management for hazardous operations. Mr. Song received his Master™s degree of Safety Technology & Engineering from China University of Mining Technology.
Research Interests
Dynamic integrated risk analysis for hazardous operations; Risk assessment considering dependency; Bayesian network approach
Publications
- Guozheng Song, Faisal Khan, Ming Yang. Integrated risk management of hazardous processing facilities. Process Safety Progress. 2018. doi.org/10.1002/prs.11978.
- Guozheng Song, Faisal Khan, Ming Yang. Security assessment of process facilities “ Intrusion modeling. Process Safety and Environmental Protection. 2018, 117: 639-650.
- Guozheng Song, Faisal Khan, Hangzhou Wang, et al.. Dynamic occupational risk model for offshore operations in harsh environments. Reliability Engineering & System Safety. 2016, 150: 58-64.
- Guozheng Song, Faisal Khan, Ming Yang, et al.. Predictive Abnormal Events Analysis Using Continuous Bayesian Network. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. 2017, 3: 1-7.
Contact Info
gs1870@mun.ca