Mashrura Musharraf

Mashrura image

 Postdoctoral Fellow, Per-course Instructor

Memorial University of Newfoundland

Research group: Safety @ Sea, CRISE

 

Research Interests

Data mining, Machine learning, Artificial intelligence, Big data analysis, Safety and Risk Engineering, Simulation and modeling

Publications

Peer-reviewed Journal Articles:

  1. Mashrura Musharraf, Jennifer Smith, Faisal Khan, Brian Veitch (2018). Identifying route selection strategies in offshore emergency situations using decision trees. Reliability Engineering and System Safety.
  2. Mashrura Musharraf, Faisal Khan, Brian Veitch (2018). Modeling and simulation of offshore personnel during emergency situations. Safety Science.
  3. Mashrura Musharraf, Jennifer Smith, Faisal Khan, Brian Veitch, Scott MacKinnon (2018). Incorporating individual differences in human reliability analysis: an extension to the virtual experimental technique. Safety Science, 107, 216-223.
  4. Mashrura Musharraf, Faisal Khan, Brian Veitch (2018). Validating human behavior representation model of general personnel during offshore emergency situations. Accepted subject to revisions in Fire Technology, special issue on Fire Evacuation Modeling.
  5. Mashrura Musharraf, Jennifer Smith, Faisal Khan, Brian Veitch, Scott MacKinnon (2017). Human performance data collected in a virtual environment. Data in Brief, 15, 213-215.
  6. Mashrura Musharraf, Jennifer Smith, Faisal Khan, Brian Veitch, Scott MacKinnon (2016). Assessing offshore emergency evacuation behavior in a virtual environment using a Bayesian Network approach. Reliability Engineering and System Safety, 152, 28-37.
  7. Mashrura Musharraf, David Bradbury-Squires, Faisal Khan, Brian Veitch, Scott MacKinnon, Syed Imtiaz (2014). A virtual experimental technique for data collection for a Bayesian Network approach to Human Reliability Analysis. Reliability Engineering and System Safety, 132, 1-8.
  8. Mashrura Musharraf, Junaid Hassan, Faisal Khan, Brian Veitch, Scott MacKinnon, Syed Imtiaz (2013). Human reliability assessment during offshore emergency conditions. Safety Science, 59, 19-27.

Peer-reviewed Conference Papers:

  1. Mashrura Musharraf, Allison Moyle, Faisal Khan, Brian Veitch (2018). Using simulator data to facilitate human reliability analysis in offshore emergency situations. Proceedings of the ASME 37th International Conference on Ocean, Offshore and Arctic Engineering.
  2. Jennifer Smith, Mashrura Musharraf, Brian Veitch, Faisal Khan (2017). Can simulation-based mastery learning increase compliance: investigating decision making in virtual offshore emergency egress. Proceedings of the 3rd Workshop and Symposium on Safety and Integrity management of operations in harsh environments (C-RISE3).
  3. Allison Moyle, Mashrura Musharraf, Jennifer Smith, Brian Veitch, Faisal Khan (2017). Human Reliability Analysis using virtual emergency (VE) scenarios via a Bayesian Network model. Proceedings of the 3rd Workshop and Symposium on Safety and Integrity Management of Operations in Harsh Environments (C-RISE3).
  4. Jennifer Smith, Mashrura Musharraf, Brian Veitch (2017). Data informed cognitive modelling of offshore emergency egress behaviour. Proceedings of the 15th International Conference on Cognitive Modelling (ICCM), Warwick, UK.
  5. Mashrura Musharraf, Faisal Khan, Brian Veitch, Scott MacKinnon, Syed Imtiaz (2013). Human factor risk assessment during emergency condition in harsh environment. Proceedings of the ASME 32nd International Conference on Ocean, Offshore and Arctic Engineering, Paper No. OMAE2013-10867.
  6. Abir Zubayer, Mashrura Musharraf, Reaz Ahmed (2011). FFTI: Free Form Technical Indicator. In the 3rd International Conference on Computer Research and Development (ICCRD), 1, 87-91.

Contact Info

Email: mashrura.musharraf@mun.ca
Office: EN 2111, Faculty of Engineering and Applied Science

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