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Personal profile



Dr. Omid Razmkhah is a Senior Lecturer in Analytical Methods in the School of Mechanical, Automotive and Manufacturing Engineering (MAM), Faculty of Engineering and Computing. He was awarded a PhD in Biomechanical Engineering in 2014. 

Past Research
The aim of my PhD research was to derive novel method to developed a 3D FE model of pelvis- femur complex using semi-transparent Computed Tomography (CT) scan image data to evaluate effect of cortical thickness and impact velocity on the energy absorption of hip during a fall. Additionally a bespoke test rig was designed and composite femora were mechanically tested to failure and regression analyses between measured fracture load and FE-predicted fracture load results.
The results indicate that this sophisticated techniques are capable of correctly identifying failure loads and energy absorption with at a reasonable reliability. These investigations would benefit those with the lowest fracture loads and who are likely to be at greatest risk of fracture. It would also offer significant scope for clinical practice and implications for early identification of those at risk and prevention measures. I have presented my work at several international conferences and published two journal article based on my work.
My work as a Research Fellow drew in particular upon the system modelling and numerical optimisation aspects of human heart. This project is founded by British heart foundation and University of Bath (£121,879) for 2 years, the aim of this project is Design and Preclinical Feasibility Assessment of an Active Fontan Assist Device. The Fontan procedure is a by-pass operation mainly for children whose hearts have a deficient right side pumping action. However, this results in poor drainage of blood from the lower body that ultimately causes deterioration of organs. The primary aim of this project is to design and model a Fontan circuit to determine the influence of changes in preload, afterload, and heart rate on the pressure/flow characteristics.
An assist device will be simulated and basic validation components constructed to optimise the fluid/blood flow dynamics within the Fontan circuit as close as possible to normal cardiovascular hemodynamic. My role is to test the feasibility and efficacy of such an artificial assist device in computer simulation by using bulk flow and CFD models and also the research will investigate the potential introduction of an implantable assist device to enhance the well-being and life expectancy of Fontan patients. The device will enable patients to undertake exercise and daily activities that are not currently possible.

Research Ambitions
I aspire to carry out further research in the areas of system modelling and system optimisation in order to address a diverse range of engineering problems. Future work could therefore include the development of new modelling tools and control techniques. Future work could also include experimentation with various numerical optimisation methods.

Expertise related to UN Sustainable Devlopment Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Biomechanics, Doctorate, Kingston University

1 May 20111 Oct 2014

Award Date: 1 Oct 2014


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