Koorosh Aslansefat is an Assistant Professor of Computer Science at the University of Hull with a decade of experience spanning dependable systems, AI safety, and real-time systems. He combines academic research—culminating in a PhD on data-driven reliability for offshore wind farms—with hands-on projects in safety modelling for autonomous drones and multi-robot systems. His current work focuses on Dependable AI, Responsible AI, and Executable Digital Dependability Identifiers (EDDIs), bridging theoretical safety models with practical verification for safety-critical applications. He teaches programming, safety-critical systems and real-time dependable systems while contributing to industry-funded research collaborations, including EDF and the SESAME multi-robot project. Notably, his background in Markov- and semi-Markov-based reliability modelling gives him a rare blend of formal dependability analysis and applied AI safety engineering. Based in Hull, he is building methods that make AI systems auditable and resilient in real-world operational contexts.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Hull
Master of Science in Control Engineering, Fault Tolerant Systems, Ranked 5, Master of Science in Control Engineering, Fault Tolerant Systems, Ranked 5 at Shahid Beheshti University
Contributions:2 releases, 101 commits, 2 PRs in 2 years 5 months
multirotorreliabilitydronesuavdrone
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