Tabassom Sedighi

Background

Tabassom gained her BSc in Physics and undertook her MSc in Control Engineering (Coventry University, UK). Her primary research interests span physics, control engineering, mathematical modelling, adaptive controller design, nonlinear observer design, fault detection and isolation, error stability analysis, solving differential equations and Lyapunov equations, data analysis, risk analysis and predicting residual useful life. Her PhD was under the supervision of Prof. Peter Foote and Prof. Ian Jennions at Cranfield University as part of the No Fault Found (NFF) project sponsored by EPSRC and BAE systems. She has been actively involved in the NFF project regarding the intermittent fault detection and prediction of test facilities for assessment of intermittent fault patterns and deployment statistical methods (Dynamic Bayesian Network, Gaussian process, etc.) for intermittent fault prediction.

Current activities

Tabassom is a research fellow in the Complex System Research Centre. She has responsibility as research fellow for interpreting case studies, collected data, practitioner practices and policies for governance, into a Systems Dynamics model capable of handling the requisite variety of cases and developing insights into the evaluation of different policies. The significance of the tool is that it will enable users to formulate their own systems descriptions avoiding the need for knowledge and skills in systems dynamics programming. The usability of the tool will be critical so it will be developed using participative approaches with representatives from energy, environment and food governance bodies. She is also working with the CECAN team to understand how this SD tool fits into the landscape of methods for complexity evaluation. She will be disseminating findings and helping to develop capacity in policy makers and related stakeholders by supporting their use of the SD tool.

Publications

• Articles in journals
• Books

Articles In Journals

• Sedighi T, Foote PD & Sydor P (2017) Feed-forward observer-based intermittent fault detection, CIRP Journal of Manufacturing Science and Technology, 17 (May) 10-17.
• T Sedighi, PD Foote & S Khan (2014) The Performance of Observer-based Residuals for Detecting Intermittent Faults: The Limitations, Procedia CIRP, 22 65-70.

Books

• Farsi M, Hosseinian-Far A, Daneshkhah A & Sedighi T (2017) Mathematical and Computational Modelling Frameworks for Integrated Sustainability Assessment (ISA). In: Strategic Engineering for Cloud Computing and Big Data Analytics, Springer, p. 3-27.
• Daneshkhah A, Hosseinian-Far A, Sedighi T & Farsi M (2017) Prior Elicitation and Evaluation of Imprecise Judgements for Bayesian Analysis of System Reliability. In: Strategic Engineering for Cloud Computing and Big Data Analytics, Springer, p. 63-79.