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Personal profile

Academic Biography

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 modelling" in January 2021 and provide teaching support, Foad was part of quality control team at British Steel Special Profile Skinningrove working on descaling project. Foad completed MEng Mechanical Engineering at Teesside University in 2016. Foad has published in peer-reviewed journals about mathematical modelling, engineering application of Artificial Intelligence and Machine learning and characterization of multiphase flow.

Summary of Research Interests

Foad’ main research area focuses on developing new methods using Artificial Intelligence & Machine Learning techniques for various engineering applications.  

Foad’ expertise and interests include:-

  • characterization and flow analysis of various fluids (Hydrogen, CO2 and etc.,)
  • Developing mathematical models by manipulating patterns in large databank
  • Applications of CAD, CAM and FEM for new era of digital manufacturing and 3D printing
  • Decarbonisation of car/aviation sector
  • Data visualizations

Research Projects & External Funding

Foad is involved in design and optimization of formula student car chassis with the aim of engaging students with various background in Institution of Mechanical Engineers (IMechE) prestigious annual competition. In this project CAD and FEM software package (Siemens NX) is used to model and optimize formula student car parts. 

Foad is involved in modelling of multiphase flow in various media using large scale databank. Applications of AI including Neural Networks, Deep Learning and ANFIS are utilized for the project. 

Learning and Teaching Interests and Activities

  • 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

Academic Achievements

Associate Fellow of the Higher Education Academy

Academic Responsibilities

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


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