Maha RahrouhDepartment of Mathematical SciencesUniversity of Durham |
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Department Address:M. Rahrouh Dept. of Mathematical Sciences Science Laboratories South Road Durham DH1 3LE ENGLANDPhone:(0191 or +44 191) office: 334 3094 secr.: 334 3050 fax: 334 3051 |
Email:maha.rahrouh@durham.ac.uk |
I'm from Swaida city, Syria , and I completed my
undergraduate in Economics at Aleppo University in Syria.
I obtained my diploma in Applied Statistics with First Class
Honours from the same university. After working
as a lecturer assistant at Aleppo University for two years, I have been
awarded a scholarship to continue my postgraduate studies in England .
I arrived in England in 1999. I did my English language course in
Leeds University in for six months, then I moved
to Durham City to do my Ph.D. studies in Durham University in
July 2000 under the supervision of Dr. Frank
Coolen
and Dr.
Pauline Coolen-Schrijner. My research is on Bayesian
Reliability Demonstration testing.
We consider optimal testing of a technical system in order to
demonstrate reliability with regard to its use in a process after
testing, where the system has to function for different types of tasks,
which we assume to be independent. We consider different optimality
criteria taking into account testing costs and time constraints. We
explicitly assume that testing reveals zero failures.
The following two papers are now in
submission.
1. FC, P. Coolen-Schrijner and M. Rahrouh. Bayesian reliability
demonstration for failure-free periods.
2. FC, P. Coolen-Schrijner and M. Rahrouh. Bayesian reliability
demonstration with multiple independent tasks.
Some of the research work is presented
in
1. Coolen, F., Coolen-Schrijner, P. and Rahrouh, M. (2004) On
Bayesian zero-failure reliability demonstration Proceedings of the
5th IMA international Conference on Modelling in Industrial Maintenance
and Reliability, Salford.
2. Rahrouh, M. (2003) Bayesian
Reliability Demonstration testing with multiple independent
tasks Proceedings of the 2003 Annual Research Students'
Conference in Probability and Statistics, Surrey.
To find more about the topic of reliability and testing, that is
developed in Durham University, please visit Software
testing homepage , the Bayes linear
methods home page and generalised
Bayesian graphical modelling (development of graphical models
containing both full Bayes and Bayes linear prior specifications).
Other useful links: Seminars, Train tickets , Coach tickets , Maths Dept outing, ..
Last updated 19 /03 /2004