Personal profile
Overview
Post-doctoral Research Associate in CFD, Heat Transfer and Hydrogen Recovery.
Teaching
Modeling & Simulation (2nd year Mech/Aero)
Fluid mechanics (2nd year Mech/Aero)
Dynamics (1st & 2nd year Mech/Aero)
Mechanical design (3rd year Mech)
Advanced CFD (MSc and 4th year Mech/Aero)
Engineering Fluid Mechanics (Tutorials and Compressible flow lab for 2nd year Mech/Aero)
Advanced Fluid Mechanics (Turbulent Boundary Layer lab to 3rd years and MSc students)
Applied Thermodynamics (1st year Mech/Aero)
Further information
Education/Academic qualification
Doctor of Engineering, Mechanical Engineering, The University of Manchester
Sept 2019 → Nov 2023
Bachelor of Science in Engineering, Mechanical Engineering, The University of Manchester
Sept 2016 → May 2019
External positions
CFD Engineer, Couette Limited
Areas of expertise
- TJ Mechanical engineering and machinery
- CFD
- Turbulence Modelling and Simulation
- Transport phenomena
- Electrical Resistance Tomotgraphy
Research Beacons, Institutes and Platforms
- Energy
Keywords
- turbulent flows
- Fluid mechanics
- Computational Fluid Dynamics
- Hydrogen recovery
- Thermofluids
- Heat trasnfer
- Carbon capture
- Mixing in industrial equipment
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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A numerical study on the mixing time prediction of miscible liquids with high viscosity ratios in turbulently stirred vessels
Mirfasihi, S., Basu, W., Martin, P., Kowalski, A., Fonte, C. P. & Keshmiri, A., 1 Feb 2025, In: Chemical Engineering Science. 304, 120944.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting Flow-Blurring Droplet Size Using Neural Networks and Bayesian Optimization: A Data-Driven Approach
Madani, S. A. S., Vaezi, E., Mirfasihi, S. & Keshmiri, A., 4 Jul 2025, (Accepted/In press) In: Machine Learning with Applications.Research output: Contribution to journal › Article › peer-review
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Intelligent solubility estimation of gaseous hydrocarbons in ionic liquids
Basirat, B., Shaahmadi, F., Mirfasihi, S. S., Jomekian, A. & Bazooyar, B., Mar 2024, In: Petroleum.Research output: Contribution to journal › Article › peer-review
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Investigation of mixing miscible liquids with high viscosity contrasts in turbulently stirred vessels using electrical resistance tomography
Mirfasihi, S., Basu, W., Martin, P., Kowalski, A., Pereira Da Fonte, C. & Keshmiri, A., 15 Apr 2024, In: Chemical Engineering Journal. 486, 149712.Research output: Contribution to journal › Article › peer-review
Open Access -
Modeling and simulation of hydrocarbon dew point adjustment of natural gas via supersonic separators
Mirfasihi, S. S., Jomekian, A. & Bazooyar, B., 10 May 2024, Advances Natural Gas: Formation, Processing, and Applications: Natural Gas Process Modelling and Simulation. Rahimpour, M. R., Meshksar, M. & Makarem, M. A. (eds.). London: Elsevier BV, Vol. 8. p. 279-310 32 p.Research output: Chapter in Book/Conference proceeding › Chapter › peer-review
Thesis
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EXPERIMENTAL AND NUMERICAL INVESTIGATION OF MIXING MISCIBLE LIQUIDS WITH HIGH VISCOSITY CONTRASTS IN TURBULENTLY STIRRED VESSELS
Mirfasihi, S. (Author), Keshmiri, A. (Main Supervisor) & Pereira Da Fonte, C. (Co Supervisor), 19 Oct 2023Student thesis: Phd
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