PhD (DIC), MSc, BSc, FHEA.
Senior Lecturer
- 51cg
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- Email Address
- jefferson.gomes@abdn.ac.uk
- Telephone Number
- +44 (0)1224 272988
- Office Address
School of Engineering Kings College Fraser Noble Building, Room 354 AB24 3UE
- School/Department
- School of Engineering






Biography
- Senior Lecturer in Engineering, (2023-today);
- Lecturer in Engineering, (2012-2023);
- Visiting Academic, (Brazil, 2020-today);
- Visiting Academic, (2013-today);
- Visiting Academic, (Brazil, 2005-today);
- Research Fellow, (2010-2012);
- Research Associate, (2006-2010);
- PhD, (2004);
- MSc, (Brazil, 1999);
- BSc in Chemical Engineering, (Brazil, 1996).
Memberships and Affiliations
- Internal Memberships
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- Course Coordinator:
- Chemical Thermodynamics (EX3029): 2014-today;
- Process Engineering (EG2011/EG20G2): 2020-today;
- Geothermal and Hydro Energy (EG503A/B): 2018-2020;
- Engineering Thermodynamics (EG3521): 2013-2015;
- Advances in Chemical Engineering (EG5597): 2015.
- External Memberships
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- Associate Editor of the and the ;
- Reviewer service for Fluid Phase Equilibria, International Journal for Numerical Methods in Fluids, International Journal for Numerical Methods for Heat and Fluid Flows, Journal of Fluids Engineering, Industrial & Engineering Chemistry Research, Journal of Petroleum and Gas Engineering;
- Reviewer for the Netherlands Organisation for Scientific Research (NWO).
Latest Publications
Data-Driven Deep Learning Model for Critical Heat Flux Occurence Prediction Based on Bubble Dynamics in Pressurized Water Reactors
Engineering Applications of Artificial Intelligence, vol. 181, no. Part 5, 115604Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Data-driven deep learning model for critical heat flux occurrence prediction based on bubble dynamics in pressurized water reactors
Engineering Applications of Artificial Intelligence, vol. 181, no. Part 5, 115604Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Machine learning integrated higher-order model application for critical heat flux investigations in pressurized water reactors
International Journal of Thermofluids, vol. 32, 101561Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
Recent Trends in Nuclear Accident Events Prediction: A Review
Nuclear Technology, vol. 211, no. 11, pp. 2668-2698Contributions to Journals: Review articles- [ONLINE] DOI:
- [OPEN ACCESS]
Numerical Quantification of Gas Adsorption in Unconventional Shale Rocks
Fuel, vol. 396, 135246Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
- Research
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Research Overview
My research focuses on computational multi-fluid dynamics (CMFD) and multi-physics modelling, leveraging advanced numerical techniques such as finite element methods (FEM) and self-adaptive algorithms. I specialise in computational optimisation, predictive modelling—including machine learning and model reduction—and their applications in geophysical systems. My work is driven by a strong interest in addressing challenges in energy technologies, environmental hazards, and engineering systems involving single- and multiphase flows. Through these efforts, I aim to develop innovative solutions that bridge theoretical advancements with real-world applications.
Research Areas
Accepting PhDs
I am currently accepting PhDs in Maths, Engineering, Computing Science.
Please get in touch if you would like to discuss your research ideas further.
Research Specialisms
- Computational Physics
- Fluid Mechanics
- Energy Engineering
- Machine Learning
- Nuclear Engineering
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is , published under the licence.
Current Research
- Self-adaptive computational methods;
- Multiphase compositional porous media flow (reservoir simulation);
- Safety assessment for nuclear systems (severe accident modelling);
- Predictive methods (reduced-order models and data assimilation);
- AI technologies (machine-learning algorithms).
Past Research
- Development of a CV-FEM based multi-fluid dynamics model for porous media flows;
- Numerical investigation of risk assessment in GEN4 nuclear reactors;
- Development of coupled multiphase and radiation-transport models;
- Modelling heat and multiphase flows in circular fluidised beds;
- FEM-based methods for granular fluidisation models;
Knowledge Exchange
- Current:
- Innovate UK (2025-27)
- Innovate UK (2023-25)
- Past:
- Design and Optimisation of Stirling Engines for Waste Heat (Interface UK, 2021-22);
- Development of coupled multi-fluid and neutron-transport models for design of a reactor to produce medical-isotope (B&W, 2010);
- Design and Optimisation of Decanter (BP, 2009);
- Risk Analysis and Assessment of MOX Nuclear Fuel Production (JAEA, 2005-06);
- Risk Assessment in Underground Nuclear Waste Repositories during Postulated Accidents (NDA,2005-08);
- Design and Optimisation of Heat Exchangers in TDN Reactors (BNFL, 2002).
KTP and projects with industry have led to +30 technical reports.
Collaborations
- , ;
- , ;
- Professor Su Jian, , (Brazil);
- Professor Francisco B S Oliveira, (Brazil);
- Professors Jader Lugon and Antonio Silva Neto, (Brazil).
Supervision
My current supervision areas are: Maths, Engineering.
Supervised 5 PhD students (to successful) completion since 2010 on:
- Reduced-order models in porous media flows;
- Atmospheric modelling;
- Coupled multiphase and neutron-radiation models for nuclear reactors.
Funding and Grants
- Gas-Jet Design and Optimisation for Underwater Laser Cutting (KTP, 2023-25), Principal Investigator;
- Molecular Basis of Advanced Nuclear Fuel Separations (MBase): Criticality and Fission in the Solution State (EPSRC, 2010-13), Co-Investigator;
- : Development of Novel Discretisation Methods for Multiphase Flows (EU-FP7, 2010-14), Co-Iinvestigator;
- : Modelling and Simulation of Core-Melting in PWR (EU-FP7, 2010-13), Co-Investigator;
- Technology Proof of Concept: Computational Framework for Multi-Scale Environmental Modelling (NERC, 2010-12), Co-Investigator;
- Follow-on Fund: Realising the Commercial Potential of the Multi-Physics and Multi-Scale FETCH Technology for Nuclear Safety Applications (EPSRC, 2010-11), Co-Investigator;
- Energy Grant: Numerical Investigation of Biomass Gasification (Brazilian CNPq, 2006-7), Co-Investigator.
- Teaching
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Teaching Responsibilities
Postgraduate Courses
- Computational Fluid Dynamics (EG501V/3G): 2015-today
- Oil and Gas Chemistry (EG551LEG552L): 2019-2024;
- Geothermal and Hydro Energies (EG503A/EG503B):2018-2020;
- Renewable Energy: Geothermal and Solar (EG501J): 2014-2018;
- Energy Technologies (EG5066): 2013.
Undergraduate Courses
- Chemical Thermodynamics (EX3029): 2014-today;
- Computational Fluid Dynamics (EG501V): 2015-today;
- Process Engineering (EG2011/EG20G2): 2020-today;
- Conservation of Heat, Mass and Momentum (EX3030/EM40JN): 2016-2020;
- Air and Water Pollution Control EG501U): 2018;
- Engineering Thermodynamics (EG3521): 2013-2015;
- Advances in Chemical Engineering (EG5597): 2014-2015.
- Publications
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A Constrained Proper Orthogonal Decomposition Model for Upscaling Permeability
International Journal for Numerical Methods in Fluids, vol. 95, no. 6, pp. 899-916Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Investigation of drift phenomena at the pore-scale during flow and transport in porous media
Mathematics, vol. 9, no. 19, 2509Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Velocity dependence and tracer dispersion in Newtonian fluids undergoing creeping flow
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [ONLINE]
Numerical investigation of viscous flow instabilities in multiphase heterogeneous porous media
Advances in Water Resources, vol. 130, pp. 46-65Contributions to Journals: Articles- [ONLINE] DOI:
- [ONLINE]
- [ONLINE]
A Force-Balanced Control Volume Finite Element Method for Multi-Phase Porous Media Flow Modelling
International Journal for Numerical Methods in Fluids, vol. 83, no. 5, pp. 431–445Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Compressive advection and multi-component methods for interface-capturing
International Journal for Numerical Methods in Fluids, vol. 80, no. 4, pp. 256-282Contributions to Journals: Articles- [ONLINE] DOI:
Anisotropic Mesh Adaptivity and Control Volume Finite Element Methods for Numerical Simulation of Multiphase Flow in Porous Media
Mathematical Geosciences, vol. 47, pp. 417-440Contributions to Journals: Articles- [ONLINE] DOI:
Reservoir Modeling for Flow Simulation by Use of Surfaces, Adaptive Unstructured Meshes, and an Overlapping-Control-Volume Finite-Element Method
SPE Reservoir Evaluation & Engineering, vol. 18, no. 2, pp. 115 - 132Contributions to Journals: Articles- [ONLINE]
- [ONLINE] DOI:
A discontinuous overlapping control volume finite element method for multi-phase porous media flow using dynamic unstructured mesh optimization
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
A new approach to reservoir modeling and simulation using boundary representation, adaptive unstructured meshes and the discontinuous overlapping control volume finite element method
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [ONLINE]


