Ming Yang

Orcid: 0000-0002-6544-9226

Affiliations:
  • Delft University of Technology, Faculty of Technology, Policy and Management, Department of Values, Technology, and Innovation, The Netherlands
  • Nazarbayev University, Department of Chemical and Materials Engineering, Astana, Kazakhstan (2017 - 2020)
  • Memorial University of Newfoundland, Centre for Risk, Integrity, and Safety Engineering, St. John's, Canada (2015 - 2017)


According to our database1, Ming Yang authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
An integrated approach to quantitative resilience assessment in process systems.
Reliab. Eng. Syst. Saf., March, 2024

Emergency response in cascading scenarios triggered by natural events.
Reliab. Eng. Syst. Saf., March, 2024

Integrated process safety and process security risk assessment of industrial cyber-physical systems in chemical plants.
Comput. Ind., February, 2024

2023
Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data.
Expert Syst. Appl., November, 2023

Dynamic thresholds for the resilience assessment of road traffic networks to wildfires.
Reliab. Eng. Syst. Saf., October, 2023

An integrated resilience assessment methodology for emergency response systems based on multi-stage STAMP and dynamic Bayesian networks.
Reliab. Eng. Syst. Saf., October, 2023

A resilience assessment framework for complex engineered systems using graphical evaluation and review technique (GERT).
Reliab. Eng. Syst. Saf., August, 2023

2022
Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios.
Reliab. Eng. Syst. Saf., 2022

A virtual experiment for measuring system resilience: A case of chemical process systems.
Reliab. Eng. Syst. Saf., 2022

A STAMP-based approach to quantitative resilience assessment of chemical process systems.
Reliab. Eng. Syst. Saf., 2022

Fault detection and diagnosis to enhance safety in digitalized process system.
Comput. Chem. Eng., 2022

2021
Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network.
Reliab. Eng. Syst. Saf., 2021

A dynamic stochastic methodology for quantifying HAZMAT storage resilience.
Reliab. Eng. Syst. Saf., 2021

2018
An operational risk analysis tool to analyze marine transportation in Arctic waters.
Reliab. Eng. Syst. Saf., 2018


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