Dr Sharvia is a member of the Dependable and Intelligent Systems research group, and a Fellow of Higher Education Academy, UK. She has extensive experience working with safety analysis tools and techniques, and she was involved in various international projects in different domains including automotive, aerospace and healthcare. She has also published in, and reviewed for, many leading journals in the field including Elsevier Reliability Engineering and System Safety, IEEE Transactions on Reliability and IEEE Robotics and Automation.
DEIS project (CI), which explores dependable system integration for Cyber-Physical Systems. H2020 grant, €553,068 locally (2017 - 2020).
ICT4HOP, Workshop travel grant from British Research Council UK.
Her main research interests include model-based dependability analysis, reliability engineering, hazard assessment, fault tree analysis, HiP-HOPS, model checking and Complex Event Processing.
Model-based Dependability Analysis, reliability engineering, domain-specific modelling and languages, hazard assessment, fault tree analysis, HiP-HOPS, model checking and Complex Event Processing.