R. Amali, Editorial member
Mechanical Engineering Programme Leader
University of the West of England, Bristol,
Faculty of Environment and Technology,
Department of Engineering Design and Mathematics,
BS16 1QY, Bristol, UK
Email: Ramin2.Amali@uwe.ac.uk

Tel: +44 117 3287113




Publications

Amali, R., Noroozi, S., Vinney, J., Sewell, P., & Andrews, S. (2001). A novel approach for assessing interfacial pressure between the prosthetic socket and the residual limb for below knee amputees using artificial neural networks. Paper presented at the Proceedings of the International Joint Conference on Neural Networks, , 4 2689-2693.

Amali, R., Noroozi, S., Vinney, J., Sewell, P., & Andrews, S. (2008). An artificial intelligence approach for measurement and monitoring of pressure at the residual limb/socket interface - A clinical study. Insight: Non-Destructive Testing and Condition Monitoring, 50(7), 374-383.

Amali, R., Noroozi, S., Vinney, J., Sewell, P., & Andrews, S. (2006). Predicting interfacial loads between the prosthetic socket and the residual limb for below-knee amputees - A case study. Strain, 42(1), 3-10.

Gayral, E., Nouri, H., & Amali, R. (2009). Modelling process of electrical contact rivet through finite element simulation. International Journal of Modelling, Identification and Control, 7(4), 333-337.

Mahmoudi, A. H., Nourbakhsh, S. H., & Amali, R. (2012). An alternative approach to determine material characteristics using spherical indentation and neural networks for bulk metals. Journal of Testing and Evaluation, 40(2), 211-219.

Noroozi, S., Amali, R., & Vinney, J. (2004). Inverse problem approach using photoelastic analysis and artificial neural networks in tandem. Strain, 40(2), 73-77.

Noroozi, S., Amali, R., & Vinney, J. (2003). Real-time load determination for in-service components using photostress analysis and artificial neural networks in tandem. Paper presented at the Proceedings of the International Conference on Artificial Intelligence IC-AI 2003, , 2 841-845.

Noroozi, S., Vinney, J., & Amali, R. (2003). Use of artificial neural networks(ANN) for real time determination of loads on in-service components. Paper presented at the Proceedings of the International Conference on Artificial Intelligence IC-AI 2003, , 2 858-864.

Sewell, P., Noroozi, S., Vinney, J., Amali, R., & Andrews, S. (2010). Improvements in the accuracy of an inverse problem engine's output for the prediction of below-knee prosthetic socket interfacial loads. Engineering Applications of Artificial Intelligence, 23(6), 1000-1011.

Sewell, P., Noroozi, S., Vinney, J., Amali, R., & Andrews, S. (2012). Static and dynamic pressure prediction for prosthetic socket fitting assessment utilising an inverse problem approach. Artificial Intelligence in Medicine, 54(1), 29-41.

Sewell, P., Vinney, J., Noroozi, S., Amali, R., & Andrews, S. (2005). A photoelastic clinical study of the static load distribution at the stump/socket interface of PTB sockets. Prosthetics and Orthotics International, 29(3), 291-302.

Sewell, P., Vinney, J., Noroozi, S., Amali, R., & Andrews, S. (2007). Qualitative and quantitative monitoring of amputee gait cycle to aid in prostheses fit assessment. International Journal of COMADEM, 10(4), 39-47.