Koorosh Aslansefat

Koorosh Aslansefat

Research Assistant

Faculty and Department

  • Faculty of Science and Engineering
  • Department of Computer Science and Technology

Qualifications

  • BSc
  • MSc
  • PhD (University of Hull)

Recent outputs

View more outputs

Journal Article

A Hybrid Modular Approach for Dynamic Fault Tree Analysis

Kabir, S., Aslansefat, K., Sorokos, I., Papadopoulos, Y., & Konur, S. (2020). A Hybrid Modular Approach for Dynamic Fault Tree Analysis. IEEE access : practical innovations, open solutions, 8, 97175-97188. https://doi.org/10.1109/ACCESS.2020.2996643

Safety + ai: A novel approach to update safety models using artificial intelligence

Gheraibia, Y., Kabir, S., Aslansefat, K., Sorokos, I., & Papadopoulos, Y. (2019). Safety + ai: A novel approach to update safety models using artificial intelligence. IEEE access : practical innovations, open solutions, 7, 135855-135869. https://doi.org/10.1109/ACCESS.2019.2941566

Performance evaluation and design for variable threshold alarm systems through semi-Markov process

Aslansefat, K., Bahar Gogani, M., Kabir, S., Shoorehdeli, M. A., & Yari, M. (in press). Performance evaluation and design for variable threshold alarm systems through semi-Markov process. ISA Transactions, https://doi.org/10.1016/j.isatra.2019.08.015

A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process

Aslansefat, K., & Latif-Shabgahi, G. (2020). A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process. IEEE Transactions on Reliability, 69(3), 986-1003. https://doi.org/10.1109/tr.2019.2923893

Research interests

• Artificial Intelligence Safety and Explainability

• Performance Assessment

• Data-driven Fault Detection, Diagnosis, and Prognosis

• Dependability Evaluation and Improvement

• Optimization and Evolutionary Algorithms

• Probabilistic Modelling (In particular Markov Modelling)

• Offshore Wind Turbines

• Safety Evaluation of Multi-Robot Systems