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
- Fluid Mechanics (Computational Fluid Dynamics)
- Statistical modelling
- Sustainable Materials
Research Projects & External Funding
Foad is currently leading two external projects in collaboration with industry partners PSI Global and Sylatech aiming to develop a digital models based on CFD, FEA and ML.
Learning and Teaching Interests and Activities
- Computer Aided Analysis
- Finite Element Methods (FEM)
- Computational Fluid Dynamics (CFD)
- Applied Machine Learning for Engineerings
- CAD/CAM and Product Developments
- Group Design and Build Projects
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
- Charted Engineer and Member of IMechE
- Institution of Mechanical Engineers (IMechE) Mentor
- IMechE mentor to supervise MPDS placement students
- Reviwer of Scientific Journals (Scientific Reports- Nature, Gas science and Engineering)
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
Fingerprint
Dive into the research topics where Foad Faraji is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Developing a digital tools to determine the distortion rate during Aluminium dip brazing
Faraji, F. (PI), Hughes, D. (CoI), Short, M. (CoI), Hamad, F. (CoI) & Chong, P. L. (CoI)
24/06/24 → 24/04/26
Project: Other
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Application of Computational Fluid Dynamic and Advanced Machine Learning to optimize the performance of filters
Faraji, F. (PI), Chong, P. L. (CoI) & Hamad, F. (CoI)
1/06/23 → 24/11/25
Project: Research
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GURU: Gas Usage Reduction and Utilisation for Enhanced Operational Efficiency
Ahmed, T. G. (PI), Faraji, F. (CoI), Jellason, N. (CoI) & Ahmed, R. (RA)
8/01/24 → 7/03/24
Project: Other
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Hy-DTLD: Digital Tools and Machine Learning for early Leak Detection in Hydrogen Pipeline
Rezaei Gomari, S. (PI), Hughes, D. (CoI) & Faraji, F. (CoI)
16/01/23 → 15/05/23
Project: Research
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Application of CFD and Machine Learning (ML) modelling to investigate the filtration process in moulded separators within vacuum pumps
Faraji, F. (PI), Hamad, F. (CoI) & Chong, P. L. (CoI)
1/12/22 → 31/03/23
Project: Research
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A comparative study of thermo-mechanical performance of brake rotor discs using finite element analysis
Kalamegam, P., Chong, P. L., Faraji, F., Moey, L. K., Abdul Manan, M. S. & Roy, S., 23 Oct 2024, In: International Journal on Interactive Design and Manufacturing.Research output: Contribution to journal › Article › peer-review
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Feasibility study of biodegradable coffee ground waste and watermelon rind as water-based drilling fluid additives
Madu, C., Faraji, F., Abdalqadir, M., Rezaei Gomari, S. & Chong, P. L., 22 Apr 2024, In: Gas Science and Engineering. 125, 205322.Research output: Contribution to journal › Article › peer-review
Open AccessFile76 Downloads (Pure) -
Generative Artificial Intelligence in Education: A Global Scientometric Analysis of Researchers' Intellectual Structure
Ghavidel, S. & Faraji, F., 18 Sept 2024.Research output: Contribution to conference › Paper › peer-review
Open AccessFile5 Downloads (Pure) -
Geometrical Optimization of Closed-End Cylindrical Air Filter Using CFD Simulation
Rukshan, L., Faraji, F. & Hamad, F., 31 Jul 2024, In: Journal of Korean Society of Environmental Engineers. 46, 7, p. 357 369 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Production of biopolymers from pumpkin shell waste and its effect on filtration and rheological properties of water-based drilling mud- toward sustainable drilling
Faraji, F., Baloochzadeh, S. & Abdalqadir, M., 10 Jun 2024, p. 93-94. 2 p.Research output: Contribution to conference › Paper › peer-review
Open Access
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.
Faraji, F. (Author), Ugwu, J. (Supervisor), Chong, P. L. (Supervisor) & Nabhani, F. (Supervisor), 19 Feb 2021Student thesis: Doctoral Thesis
File