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:-

• Characterization of fluid (Hydrogen, CO2 and etc.,) flow in a different environment
• Engineering application of Machine Learning algorithms
• Simulation studies using Finite Element Methods, Ansys and Eclipse  
• Applications of CAD, CAM and FEM for the new era of digital manufacturing and 3D printing
• Multiphase flow in different media
• Energy storage systems
• Data visualizations and pattern recognition

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. 
 

• Computer Aided Analysis 
• Finite Element Methods (FEM)
• CAD/CAM and Product Developments
• Structural Mechanics
• Mechatronic Principles
• Engineering Research Project (MSc)
• Advanced Practice
• Mechanical Engineering Practice
• Manufacturing Process

Associate Fellow of the Higher Education Academy

• Teaching and project supervision in Engineering department 
• Research and enterprise activities