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

  1. Guozheng Song, Faisal Khan, Ming Yang. Integrated risk management of hazardous processing facilities. Process Safety Progress. 2018. doi.org/10.1002/prs.11978.
  2. Guozheng Song, Faisal Khan, Ming Yang. Security assessment of process facilities – Intrusion modeling. Process Safety and Environmental Protection. 2018, 117: 639-650.
  3. 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.
  4. 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

Contact

Centre for Risk, Integrity and Safety Engineering (C-RISE)

230 Elizabeth Ave, St. John's, NL, CANADA, A1B 3X9

Postal Address: P.O. Box 4200, St. John's, NL, CANADA, A1C 5S7

Tel: (709) 864-8000