Torch

Dr Sohag Kabir

Research Associate

Faculty and Department

  • Faculty of Science and Engineering
  • School of Engineering and Computer Science

Summary

Sohag Kabir is a research associate in the Dependable Intelligent Systems (DEIS) Research Group at the University of Hull. He received his PhD in Computer Science and MSc degree in Embedded Systems from the University of Hull, UK in 2016 and 2012, respectively. He has worked in EU projects on safety including MAENAD and DEIS. His research interests include model-based safety assessment, probabilistic risk and safety analysis, dynamic safety and reliability analysis, and stochastic modelling and analysis.

Journal Article

Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review

Kabir, S., & Papadopoulos, Y. (2019). Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review. Safety science, 115, 154-175. https://doi.org/10.1016/j.ssci.2019.02.009

Fuzzy evidence theory and Bayesian networks for process systems risk analysis

Yazdi, M., & Kabir, S. (2018). Fuzzy evidence theory and Bayesian networks for process systems risk analysis. Human and Ecological Risk Assessment, 1-30. https://doi.org/10.1080/10807039.2018.1493679

A review of applications of fuzzy sets to safety and reliability engineering

Kabir, S., & Papadopoulos, Y. (2018). A review of applications of fuzzy sets to safety and reliability engineering. International Journal of Approximate Reasoning, 100, 29-55. https://doi.org/10.1016/j.ijar.2018.05.005

Model-based assessment of energy-efficiency, dependability, and cost-effectiveness of waste heat recovery systems onboard ship

Lampe, J., Rüde, E., Papadopoulos, Y., & Kabir, S. (2018). Model-based assessment of energy-efficiency, dependability, and cost-effectiveness of waste heat recovery systems onboard ship. Ocean engineering, 157, 234-250. https://doi.org/10.1016/j.oceaneng.2018.03.062

Uncertainty-aware dynamic reliability analysis framework for complex systems

Kabir, S., Yazdi, M., Aizpurua, J. I., & Papadopoulos, Y. (2018). Uncertainty-aware dynamic reliability analysis framework for complex systems. IEEE access : practical innovations, open solutions, 6, https://doi.org/10.1109/ACCESS.2018.2843166

Research interests

Reliability Analysis

Safety Analysis

Model-based design and analysis

Probabilistic Risk Assessment

Software Engineering

Decision under Uncertainty

Stochastic Modelling and Analysis

Awards and prizes

Outstanding Early Career Researcher

2018

Membership/Fellowship of professional body

Associate Fellow of the HEA

2015