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Biography Koorosh Aslansefat is an Assistant Professor of Computer Science and a member of the Dependable Intelligent System Group (DEIS) in the University of Hull. He received M.Sc. degree in control engineering from Shahid Beheshti University, Tehran, Iran, in 2014. He got a fellowship with Grant No. 723764 for the EU H2020 project entitled: GO0D MAN (aGent Oriented Zero Defect Multi-stage mANufacturing) from 2016 to 2018. In 2018, he got a Studentship Award from EDF Energy R&D UK to do a PhD at the University of Hull and have an industrial collaboration with EDF Energy for a project entitled: DREAM (Data-driven Reliability-centred Evolutionary Automated Maintenance for Offshore Wind Farms). In his PhD career, he managed to get the IET Leslie H. Paddle Award for being an Outstanding Researcher for his work on Real-time dependability evaluation and the DREAM project.
In 2021, he became a Research Associate and as a named researcher got a fellowship with Grant No. 101017258 for another EU H2020 project entitled: (SESAME) Safe MultiRobot Systems. In this position, he managed to get an Post-Doctoral Enrichment Award from the Alan Turing Institute for his innovative research on the safety evaluation of machine learning known as SafeML. Koorosh Aslansefat is internationally renowned for innovative research on the engineering of dependable systems that includes real-time dependability analysis of complex systems and safety assurance of machine learning algorithms. His main research interests are in artificial intelligence safety and explainability, Markov modelling, performance assessment, optimization, stochastic modelling, and runtime dependability evaluation.
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)
Maintenance Scheduling Renewable Energies (Offshore Wind Farms)
Safety Evaluation of Multi-Robot Systems
Teaching and Learning MSc Level:
Real-Time Dependable Systems

BSc Level:
Safety Critical Systems
Python Programming

In Preparation:
Responsible AI and Ethics
arXiv ID https://arxiv.org/a/aslansefat_k_1.html
PhD Supervision Availability Yes
PhD Topics SafeML: Exploring techniques for safety monitoring of machine learning classifiers.
SafeDrones: Reliability/Safety Modelling and Evaluation of Multicopters (Multi-rotor Drones) and Electric powered Vertical TakeOff and Landing (eVTOL) Aircrafts.