Projects per year
Personal profile
Academic Biography
Foad is a Senior Lecturer in Engineering in the School of Computing, Engineering and Digital Technologies (SCEDT), Teesside University. He is a charted engineer and a member of the Institute of Mechanical Engineers (IMechE), UK and Fellow of Higher Education Academy (FHEA).
Before coming back to Teesside to complete his PhD in "Energy Engineering" and provide teaching support, Foad was part of the quality control team at British Steel Special Profile Skinningrove providing support for the descaling project. Foad completed his MEng in Mechanical Engineering at Teesside University in 2016 with First-Class Honours. Foad has published in peer-reviewed journals about mathematical modelling, engineering application of Artificial Intelligence and Machine Learning and industrial application of Finite Element Method and Computational Fluid Dynamic.
Summary of Research Interests
Foad's main research area focuses on addressing engineering problems using Artificial Intelligence & Machine Learning techniques for various.
Foad's expertise and research interests include:-
- Engineering application of Machine Learning and Artificial Intelligence
- Finite Element Methods (NX Siemens)
- Fluid Mechanics (Multiphase flow)
- Statistical modelling
Research Projects & External Funding
Foad is currently leading an external project in collaboration with an industry partner PSI Global aiming to develop a digital model to improve the performance of company's air/oil separators. The project recieved a research grant from UKRI.
Learning and Teaching Interests and Activities
- Computer Aided Analysis
- Finite Element Methods (FEM)
- Subsurface flow modelling
- Computational Fluid Dynamics (CFD)
- Applied Machine Learning for Engineerings
- CAD/CAM and Product Developments
Academic Achievements
Fellow of the Higher Education Academy (FHEA)
Academic Responsibilities
- Teaching and project supervision in Engineering department
- Research and enterprise activities
- Personal tutoring
- Link Tutor for the school's international partners in UAE and Singapour
External Roles and Professional Activities
- Institution of Mechanical Engineers (IMechE) Mentor
- Member of Editorial board of Petroleum Science and Engineering Journal
- IMechE delegate mentor to supervise MPDS placement students
Education/Academic qualification
Postgraduate Certificate in Learning and Teaching in Higher Education (PGCLTHE), Teesside University
25 Sept 2021 → 1 Nov 2022
Award Date: 18 Nov 2022
PhD, Energy Engineering "Gas-condensate reservoir performance modelling" , Teesside University
1 May 2017 → 20 Jan 2021
Award Date: 16 Feb 2021
Master, MEng Mechanical Engineering, Teesside University
20 Sept 2011 → 25 May 2016
Award Date: 15 Jun 2016
External positions
Quality Control Engineer , British Steel
3 Jan 2017 → 30 Apr 2017
Manufacturing Engineer Intern , Thorn Lighting
1 Jun 2015 → 30 Oct 2015
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Collaborations and top research areas from the last five years
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Application of Computational Fluid Dynamic and Advanced Machine Learning to optimize the performance of filters
Faraji, F., Chong, P. L. & Hamad, F.
1/06/23 → 24/11/25
Project: Research
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Hy-DTLD: Digital Tools and Machine Learning for early Leak Detection in Hydrogen Pipeline
Rezaei Gomari, S., Hughes, D. & Faraji, F.
16/01/23 → 15/05/23
Project: Research
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Investigation of Mechanical Behaviors of Dental Implants with Different Geometries
Yuan, Z., Chong, P. L., Roy, S., Merdji, A., Ouldyerou, A., Faraji, F., Moey, L. K., Yazdi, M. H. & Mukdadi, O., 24 Feb 2023, In: ASME Journal of Engineering and Science in Medical Diagnostics and Therapy. 6, 1, p. 1-28 28 p., JESMDT-22-1045.Research output: Contribution to journal › Article › peer-review
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Mechanical Influence of Tissue Scaffolding Design with Different Geometries using Finite Element Study
An, X., Chong, P. L., Zohourkari, I., Roy, S., Merdji, A., Gnanasagaran, C. L., Faraji, F., Moey, L. K. & Yazdi, M. H., 21 Jul 2023, In: Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Downloads (Pure) -
Stress Analysis of Various Designs of Centrifugal Pump Impellers Using Finite Element Method
Mohamed, N., Chong, P. L., Faraji, F., Moey, L. K., Ibrahim, A., Yazdi, M. H. & Mardji, A., 11 Aug 2022, In: Journal of Engineering & Technological Advances (JETA). 7, 1, p. 36-46 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile194 Downloads (Pure) -
Two-phase flow pressure drop modelling in horizontal pipes with different diameters
Faraji, F., Santim, C., Chong, P. L. & Hamad, F., 1 Jul 2022, In: Nuclear Engineering and Design. 395, 16 p., 111863.Research output: Contribution to journal › Article › peer-review
Open AccessFile103 Downloads (Pure) -
Development of new gas condensate viscosity model using artificial intelligence
Faraji, F., Ugwu, J. & Chong, P. L., 17 Nov 2021, (E-pub ahead of print) In: Journal of King Saud University, Engineering Sciences. JKSUES581.Research output: Contribution to journal › Article › peer-review
Open AccessFile134 Downloads (Pure)
Datasets
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Data for: Modelling viscosity of liquid dropout near wellbore region in gas-condensate reservoirs using modern numerical approaches.
Faraji, F. (Contributor), Mendeley Data, 31 Mar 2020
DOI: 10.17632/wtrc6p938g.1, https://data.mendeley.com/datasets/wtrc6p938g
Dataset
Thesis
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Gas-condensate Reservoir Performance Modelling.
Author: Faraji, F., 19 Feb 2021Supervisor: Ugwu, J. (Supervisor), Chong, P. L. (Supervisor) & Nabhani, F. (Supervisor)
Student thesis: Doctoral Thesis
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