Koorosh Aslansefat

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Koorosh Aslansefat was born in Tehran, Iran, in 1989. He received a BSc in Marine Electronic and Communication Engineering from Chabahar Maritime University, Chabahar, Iran in 2011 and ranked 1st among BSc students of the Electronic department. He is currently MSc student in Control Engineering at Shahid Beheshti University, Tehran, Iran. In his MSc studies, His main research interests are in Artificial Intelligent, Optimization with Evolutionary Methods, Markov Modelling, Risk Management, and Design High-reliable systems.

safety markov modelling reliability analysis fault tree fault diagnosis reliability engineering balance redundancy fault tolerance safet autonoous vehicles safety monitoring machine learning safety deep learning reliability ai explainability xai safety of artificiall intelligence safednn safenn safeai safeml aisafety reconfigurable systems semi-markov process hip-hops deisproject.eu failure rate propulsion uav drones behavior change iot resilience research performance assessment industrial alarm systems decision making missed alarm probability adaptive threshold optimal thresholding false alarm probability auv aug underwater glider underwater vehicle

Aktivität
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Reliability Evaluation of Reconfigurable NMR Architecture Supported with Hot Standby Spare: Markov Modeling and Formulation

Vor 3 Jahren • 18 Aufrufe

Koorosh Aslansefat

Präsentationen

A Strategy for Reliability Evaluation and Fault Diagnosis of Autonomous Underwater Gliding Robot based on its Fault Tree

A Novel Extended Adaptive Thresholding for Industrial Alarm Systems

Resilience Supported System for Innovative Water Monitoring Technology

A markov process based approach for reliability evaluation of the propulsion system in multi-rotor drones presentation

A Conceptual Framework to Incorporate Complex Basic Events in HiP-HOPS

Reliability Evaluation of Reconfigurable NMR Architecture Supported with Hot Standby Spare: Markov Modeling and Formulation

SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure

Gefällt mir

DEIS: Dependability Engineering Innovation for Cypber-Physical Systems

Decision Tree Learning

Efficient combinatorial models for reliability analysis of complex dynamic systems

Fault Tree Analysis for the EnergyGrid