# Koorosh Aslansefat Source: https://hello.cv/kooroshaslansefat ## Links - linkedin | https://www.linkedin.com/in/koorosh-aslansefat/ ## About Koorosh Aslansefat is an Assistant Professor of Computer Science and a member of the Dependable Intelligent System Group (DEIS) at the University of Hull. He received the 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 research 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) Secure and Safe Multi-Robot Systems. In this position, he managed to get a Post-Doctoral Enrichment Award from the Alan Turing Institute for his innovative research onthe 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, optimisation, stochastic modelling, and runtime dependability evaluation. ## Work ### Assistant Professor | University of Hull ### Research Associate | University of Hull ### Research Assistant | UNINOVA Instituto de Desenvolvimento de Novas Tecnologias ### Researcher | Shahid Beheshti University ## Education ### Shahid Beheshti University | Master of Science (MSc) ## Publications ### RAGuard: A Novel Approach for In-Context Safe Retrieval Augmented Generation for LLMs book-chapter ### Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML book-chapter ### Explaining Black Boxes With a SMILE: Statistical Model-Agnostic Interpretability With Local Explanations IEEE Software journal-article ### Adaptive Design of Uni-Variate Alarm Systems Based on Statistical Distance Measures book-chapter ### Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study IEEE Internet Computing journal-article ### A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation Energies journal-article ### A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation Energies journal-article ### StaDRe and StaDRo: Reliability and Robustness Estimation of ML-Based Forecasting Using Statistical Distance Measures book-chapter ### Keep Your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring book-chapter ### Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems Computer journal-article ### SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures book-chapter ### A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process IEEE Transactions on Reliability journal-article ### A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins Energy Conversion and Management journal-article ### A Hybrid Modular Approach for Dynamic Fault Tree Analysis IEEE Access journal-article ### A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones book-chapter ### Performance evaluation and design for variable threshold alarm systems through semi-Markov process ISA Transactions journal-article ### A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones IFIP Advances in Information and Communication Technology book-chapter ### A Conceptual Framework to Incorporate Complex Basic Events in HiP-HOPS book-chapter ### A Hierarchical Approach for Dynamic Fault Trees Solution Through Semi-Markov Process IEEE Transactions on Reliability journal-article ### Model-Based Safety and Assessment Lecture Notes in Computer Science book ### Safety + AI: A Novel Approach to Update Safety Models Using Artificial Intelligence IEEE Access journal-article ### Safety + AI: A Novel Approach to Update Safety Models Using Artificial Intelligence IEEE Access journal-article ### Resilience Supported System for Innovative Water Monitoring Technology Technological Innovation for Resilient Systems book-chapter ### Resilience Supported System for Innovative Water Monitoring Technology book-chapter ### Resilience Supported System for Innovative Water Monitoring Technology book-chapter ### Optimization of the Drag Force of Planing Boat with Trim Control System Using Genetic Algorithm American Journal of Mechanical Engineering journal-article ### A novel extended adaptive thresholding for industrial alarm systems 2017 Iranian Conference on Electrical Engineering (ICEE) conference-paper ### A novel extended adaptive thresholding for industrial alarm systems 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017 conference-paper ### A novel extended adaptive thresholding for industrial alarm systems conference-paper ### A Systematic Approach to Design and Analysis of Univariate Alarm Systems Using Penalty Approaches Journal of Control journal-article ### A novel extended adaptive thresholding for industrial alarm systems conference-paper ### Optimization of the Drag Force of Planing Boat with Trim Control System Using Genetic Algorithm American Journal of Mechanical Engineering journal-article ### Hierarchical steady-state availability evaluation of dynamic fault trees through equal Markov model 2016 24th Iranian Conference on Electrical Engineering (ICEE) conference-paper ### Hierarchical steady-state availability evaluation of dynamic fault trees through equal Markov model 2016 24th Iranian Conference on Electrical Engineering, ICEE 2016 conference-paper ### A New Methodology to Availability Analysis of Dynamic Fault Tree by Using Their Hierarchical Equal Markov Model 4th International Reliability Engineering Conference conference-paper ### Hierarchical steady-state availability evaluation of dynamic fault trees through equal Markov model conference-paper ### Hierarchical steady-state availability evaluation of dynamic fault trees through equal Markov model conference-paper ### A Systematic Approach to Sensitivity Analysis of Fault Tolerant Systems in NMR Architecture Journal of Intelligent Procedures in Electrical Technology (JIPET) journal-article ### Reliability and Safety Modelling in Reliable Systems Supported with Cold Standby Spares by the Markov Model Journal of Industrial Engineering journal-article ### Multi-objective evolutionary optimization technique applied to propeller design Acta Polytechnica Hungarica journal-article ### A Strategy for Reliability Evaluation and Fault Diagnosis of Autonomous Underwater Gliding Robot based on its Fault Tree International Journal of Advances in Science, Engineering and Technology journal-article ### Multi-objective evolutionary optimization technique applied to propeller design Acta Polytechnica Hungarica journal-article ### Multi-objective evolutionary optimization technique applied to propeller design Acta Polytechnica Hungarica journal-article ### Evolutionary Design of Mathematical tunable FPGA Based MIMO Fuzzy Estimator Sliding Mode Based Lyapunov Algorithm: Applied to Robot Manipulator International Journal of Robotics and Automation journal-article ## Source Read this profile on Hello.cv: https://hello.cv/kooroshaslansefat Create your free profile at https://hello.cv