Dr Ben Matellini is a senior industrial lecturer within the School of Engineering, Technology and Maritime Operations. Ben leads several modules within engineering programmes, which focus on risk and safety management, and industrial management. The modules are delivered both in the UK as well as overseas through collaborative partnership programmes. Ben also manages a collaborative partnership with Risktec Solutions, with whom an MSc in Risk and Safety Management is delivered.
Ben’s area of expertise and research interest is in risk and safety management. Ben is interested in the development and application of risk management techniques within industry. He has previously worked on projects within the fire and rescue services, process industries, and Arctic shipping. Ben is director of study for several PhD projects linked to these areas.
Prior to joining the University Ben was a risk and safety consultant at ABS Consulting (UK), working on oil and gas, and marine projects across the world. Ben also spent eight years in Peru working for the Government’s Maritime Institution, where he managed oceanographic projects and conducted research on the El Nino Southern Oscillation phenomenon.
2012, Liverpool John Moores University, United Kingdom, PhD “A risk-based fire and rescue management system”
2007, Liverpool John Moores University, United Kingdom, MSc (Distinction) in Maritime Operations
1995, Bangor University, United Kingdom, BSc (Honours) in Ocean Sciences
Senior industrial lecturer, Maritime and Mechanical Engineering, Liverpool John Moores University, 2013 - present
Loughney S, Wang J, Matellini DB. 2018. Utilising Bayesian networks to demonstrate the potential consequences of a fuel gas release from an offshore gas-driven turbine Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, >DOI
Matellini DB, Wall AD, Jenkinson ID, Wang J, Pritchard R. 2018. A Three-Part Bayesian Network for Modeling Dwelling Fires and Their Impact upon People and Property RISK ANALYSIS, 38 :2087-2104 >DOI >Link
Matellini DB, Wall AD, Jenkinson ID, Wang J, Pritchard RW. 2013. A study of human reaction during the initial stages of a dwelling fire using a Bayesian network model PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 227 :207-221 >DOI >Link
Matellini DB, Wall AD, Jenkinson ID, Wang J, Pritchard R. 2013. Modelling dwelling fire development and occupancy escape using Bayesian network RELIABILITY ENGINEERING & SYSTEM SAFETY, 114 :75-91 >DOI >Link
Matellini DB, Wall AD, Jenkinson ID, Wang J, Pritchard R. 2012. Bayesian network modelling for fire safety assessment: Part I-a study of human reaction during the initial stages of a dwelling fire Berenguer C, Grall A, Soares CG. ADVANCES IN SAFETY, RELIABILITY AND RISK MANAGEMENT, :626-633 >Link
Matellini DB, Wall AD, Jenkinson ID, Wang J, Pritchard R. 2012. A Bayesian network model for fire development and occupant response within dwellings Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012, >DOI
Wang J, Matellini B, Wall A, Phipps J. 2012. Risk-based verification of large offshore systems PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART M-JOURNAL OF ENGINEERING FOR THE MARITIME ENVIRONMENT, 226 :273-298 >DOI >Link
Matellini DB, Tam J, Quispe C. Empirical model for forecast the Peruvian sea surface temperature Revista Peruana de Biologia, 1
Loughney S, Wang J, Matellini DB, Pemberton K. 2018. An investigation identifying trends between the enforcement of offshore safety case regulations and the occurrence of vessel to platform collision incidents Haugen S, Barros S, van Gulijk C, Kongsvik T, Vinnem JE. Safety and Reliability – Safe Societies in a Changing World: Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway,
Wang J, Phipps J, Matellini DB. 2010. A study of risk-based verification for offshore engineering systems 10th International Conference on Probabilistic Safety Assessment and Management 2010, PSAM 2010, 2 :1154-1165