Tabassom Sedighi gained her BSc in Physics and undertook her MSc in Control Engineering (Coventry University, UK). Her primary research interests span in Physics, Control Engineering, mathematical modeling, 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. She had her PhD 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.
She will have 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 will also be 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.
A number of her publications are:
Sedighi, T., Foote P. D., and Khan, S., (2014). The performance of observer-based residuals for detecting intermittent faults: the limitations,” www.sciencedirect.com, in 3rd International Through-Life Engineering Services Conference, vol. 22, pp. 65- 70, Cranfield, UK., November 2014.
Sedighi, T., Foote P. D., and Khan, S., (2015). Intermittent fault detection on an
experimental aircraft fuel rig: reduce the ”No Fault Found” rate, International Con-ference on System and Control 2015, Tunisia, April 2015.
Sedighi, T., Foote P. D., and Daneshkhah, A., (2016). Hybrid dynamic Bayesian
Network-based intermittent fault detection and isolation, submitted to the Asian Journal of Control, February 2016.