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

Book Chapter

A conceptual framework to incorporate complex basic events in HiP-HOPS

Kabir, S., Aslansefat, K., Sorokos, I., Papadopoulos, Y., & Gheraibia, Y. (2019). A conceptual framework to incorporate complex basic events in HiP-HOPS. In Y. Papadopoulos, K. Aslansefat, P. Katsaros, & M. Bozzano (Eds.), Model-Based Safety and Assessment. IMBSA 2019 (109-124). Cham: Springer Verlag. https://doi.org/10.1007/978-3-030-32872-6_8

Journal Article

Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems

Aslansefat, K., Kabir, S., Abdullatif, A., Vasudevan Nair, V., & Papadopoulos, Y. (in press). Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. Computer,

SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures

Aslansefat, K., Sorokos, I., Whiting, D., Tavakoli Kolagari, R., & Papadopoulos, Y. (2020). SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures. Lecture notes in computer science, 12297, 197-211. https://doi.org/10.1007/978-3-030-58920-2_13

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

A runtime safety analysis concept for open adaptive systems

Kabir, S., Sorokos, I., Aslansefat, K., Papadopoulos, Y., Gheraibia, Y., Reich, J., …Wei, R. (2019). A runtime safety analysis concept for open adaptive systems. Lecture notes in computer science, 11842, 332-346. https://doi.org/10.1007/978-3-030-32872-6_22

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