Research output per year
Research output per year
Foad Faraji is a Lecturer in Engineering in the School of Computing, Engineering and Digital Technologies (SCEDT), Teesside University.
Before coming back to Teesside to complete his PhD in "gas-condensate reservoir performance modeling" and provide teaching support, Foad was part of quality control team at British Steel Special Profile Skinningrove providing support for the descaling project. Foad completed MEng Mechanical Engineering at Teesside University in 2016 with First-Class Honours. Foad has published in peer-reviewed journals about mathematical modeling, engineering application of Artificial Intelligence for characterization of fluid properties, and mathematical modeling of multiphase flow.
Ford's main research area focuses on developing new methods using Artificial Intelligence & Machine Learning techniques for various engineering applications.
Ford's expertise and research interests include:-
Foad is involved in the design and optimization of formula student car chassis using Finite Element Method techniques. In this project CAD and FEM software package (Siemens NX) is used to model and optimize formula student car chassis with respect to the different materials (Steel, carbon fibre and etc.,).
Foad is involved in the modeling multiphase flow in various media using large-scale experimental databank. Different machine learning methods including Neural Networks, fuzzy logic and adaptive neuro-fuzzy inference system (ANFIS) are utilized for the project.
Associate Fellow of the Higher Education Academy
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to conference › Abstract › peer-review
Faraji, F. (Contributor), Mendeley Data, 31 Mar 2020
DOI: 10.17632/wtrc6p938g.1, https://data.mendeley.com/datasets/wtrc6p938g
Dataset
Supervisor: Ugwu, J. (Supervisor), Chong, P. L. (Supervisor) & Nabhani, F. (Supervisor)
Student thesis: Doctoral Thesis