Dr Raoul van Loon

Research Highlights

1. Carson, J., Warrander, L., Johnstone, E., & van Loon, R. (2020). Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach. International Journal for Numerical Methods in Biomedical Engineering, 0

   https://doi.org/10.1002/cnm.3267, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52055
2. Karakashian, K., Pike, C., & van Loon, R. (2018). Computational investigation of the Laplace law in compression therapy. Journal of Biomechanics

   https://doi.org/10.1016/j.jbiomech.2018.12.021, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47969
3. Wilson, J., Edgar, L., Prabhakar, S., Horner, M., van Loon, R., & Moore, J. (2018). A fully coupled fluid-structure interaction model of the secondary lymphatic valve. Computer Methods in Biomechanics and Biomedical Engineering, 1-11.

   https://doi.org/10.1080/10255842.2018.1521964, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43794
4. Watson, D., Sazonov, I., Zawieja, D., Moore, J., & van Loon, R. (2017). Integrated geometric and mechanical analysis of an image-based lymphatic valve. Journal of Biomechanics, 64, 172-179.

   https://doi.org/10.1016/j.jbiomech.2017.09.040, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35694
5. Karakashian, K., Shaban, L., Pike, C., & van Loon, R. (2018). Investigation of Shape with Patients Suffering from Unilateral Lymphoedema. Annals of Biomedical Engineering, 46, 108-121.

   https://doi.org/10.1007/s10439-017-1929-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35293
6. D’Onofrio, C., van Loon, R., Rolland, S., Johnston, R., North, L., Brown, S., Phillips, R., Sienz, J., Sienz, J., Johnston, R., van Loon, R., Rolland, S., & D'Onofrio, C. (2017). Three-dimensional computational model of a blood oxygenator reconstructed from micro-CT scans. Medical Engineering & Physics

   https://doi.org/10.1016/j.medengphy.2017.06.035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34491
7. Grebennikov, D., van Loon, R., Novkovic, M., Onder, L., Savinkov, R., Sazonov, I., Tretyakova, R., Watson, D., & Bocharov, G. (2016). Critical Issues in Modelling Lymph Node Physiology. Computation, 5(1), 3

   https://doi.org/10.3390/computation5010003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31455
8. Carson, J., Van Loon, R., & van Loon, R. (2016). An implicit solver for 1D arterial network models. International Journal for Numerical Methods in Biomedical Engineering, 33(7)

   https://doi.org/10.1002/cnm.2837, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30518
9. Savinkov, R., Kislitsyn, A., Watson, D., van Loon, R., Sazonov, I., Novkovic, M., Onder, L., & Bocharov, G. (2017). Data-driven modelling of the FRC network for studying the fluid flow in the conduit system. Engineering Applications of Artificial Intelligence, 62, 341-349.

   https://doi.org/10.1016/j.engappai.2016.10.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30588
10. Wilson, J., van Loon, R., Wang, W., Zawieja, D., & Moore, J. (2015). Determining the combined effect of the lymphatic valve leaflets and sinus on resistance to forward flow. Journal of Biomechanics, 48(13), 3584-3590.

    https://doi.org/10.1016/j.jbiomech.2015.07.045, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24213
11. Loon, R., Huyghe, J., Wijlaars, M., Baaijens, F., & van Loon, R. (2003). 3D FE implementation of an incompressible quadriphasic mixture model. (pp. 1243-1258).

    https://doi.org/10.1002/nme.723, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1929
12. Loon, R., Anderson, P., Hart, J., Baaijens, F., & van Loon, R. (2004). A combined fictitious domain/adaptive meshing method for fluid-structure interaction in heart valves. (pp. 533-544).

    https://doi.org/10.1002/fld.775, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1930
13. Loon, R., Anderson, P., Vosse, F., & van Loon, R. (2006). A fluid-structure interaction method with solid-rigid contact for heart valve dynamics. (pp. 806-823).

    https://doi.org/10.1016/j.jcp.2006.01.032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1931
14. Loon, R., Anderson, P., Vosse, F., Sherwin, S., & van Loon, R. (2007). Comparison of various fluid-structure interaction methods for deformable bodies. (pp. 833-843).

    https://doi.org/10.1016/j.compstruc.2007.01.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1932
15. Loon, R. & van Loon, R. (2010). Special Issue: Fluid-structure interaction in biomedical applications. In International Journal for Numerical Methods in Biomedical Engineering

    https://doi.org/10.1002/cnm.1371, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6003
16. Loon, R. & van Loon, R. (2011). Patient-specific blood flow simulation through an aneurysmal thoracic aorta with a folded proximal neck. In International Journal for Numerical Methods in Biomedical Engineering

    https://doi.org/10.1002/cnm.1425, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6004
17. Loon, R. & van Loon, R. (2011). Modelling pipeline for subject-specific arterial blood flow-A review. In International Journal for Numerical Methods in Biomedical Engineering

    https://doi.org/10.1002/cnm.1446, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6005
18. Loon, R. & van Loon, R. (2010). Towards computational modelling of aortic stenosis. International Journal for Numerical Methods in Biomedical Engineering, 26(3-4), 405-420.

    https://doi.org/10.1002/cnm.1270, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6006
19. Vos, P., Loon, R., Sherwin, S., & van Loon, R. (2008). A comparison of fictitious domain methods appropriate for spectral/hp element discretisations. Computer Methods in Applied Mechanics and Engineering, 197(25-28), 2275-2289.

    https://doi.org/10.1016/j.cma.2007.11.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6007
20. Bowles, C., New, S., Loon, R., Dreger, S., Biglino, G., Chan, C., Parker, K., Chester, A., Yacoub, M., Taylor, P., & van Loon, R. (2010). Hydrodynamic Evaluation of a Bioreactor for Tissue Engineering Heart Valves. Cardiovascular Engineering and Technology, 1(1), 10-17.

    https://doi.org/10.1007/s13239-010-0007-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6009
21. Low, K., Loon, R., Sazonov, I., Bevan, R., Nithiarasu, P., Nithiarasu, P., Sazonov, I., & van Loon, R. (2012). An improved baseline model for a human arterial network to study the impact of aneurysms on pressure-flow waveforms. International Journal for Numerical Methods in Biomedical Engineering, 28(12), 1224

    https://doi.org/10.1002/cnm.2533, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14316
22. Nithiarasu, P., Sazonov, I., & van Loon, R. (2010). Application of a locally conservative Galerkin (LCG) method for modelling blood flow through a patient-specific carotid bifurcation. International Journal for Numerical Methods in Fluids

    https://doi.org/10.1002/fld.2313, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5623
23. Nithiarasu, P., Sazonov, I., & van Loon, R. (2011). Influences of domain extensions to a moderately stenosed patient-specific carotid bifurcation: Investigation of wall quantities. International Journal of Numerical Methods for Heat & Fluid Flow, 21(8)

    https://doi.org/10.1108/09615531111177741, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9125
24. Bevan, R., Boileau, E., van Loon, R., Lewis, R., & Nithiarasu, P. (2016). A comparative study of fractional step method in its quasi-implicit, semi-implicit and fully-explicit forms for incompressible flows. International Journal of Numerical Methods for Heat & Fluid Flow, 26(3/4), 595-623.

    https://doi.org/10.1108/HFF-06-2015-0233, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25294
25. Sienz, J. & van Loon, R. (2016). Pore-Scale Modeling of Non-Newtonian Shear-Thinning Fluids in Blood Oxygenator Design. Journal of Biomechanical Engineering, 138(5), 051001

    https://doi.org/10.1115/1.4032801, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26486
26. Low, K., van Loon, R., & Sienz, J. (2017). Formulation of Generalized Mass Transfer Correlations for Blood Oxygenator Design. Journal of Biomechanical Engineering, 139(3), 031007

    https://doi.org/10.1115/1.4035535, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31508
27. Sazonov, I., Khir, A., Hacham, W., Boileau, E., Carson, J., van Loon, R., Ferguson, C., & Nithiarasu, P. (2017). A novel method for non-invasively detecting the severity and location of aortic aneurysms. Biomechanics and Modeling in Mechanobiology, 16(4), 1225-1242.

    https://doi.org/10.1007/s10237-017-0884-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31819
28. Carson, J., van Loon, R., & Nithiarasu, P. (2018). Mathematical Techniques for Circulatory Systems. Reference Module in Biomedical SciencesElsevier

    https://doi.org/10.1016/B978-0-12-801238-3.99982-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37998
29. Carson, J., Lewis, M., Rassi, D., & van Loon, R. (2019). A data-driven model to study utero-ovarian blood flow physiology during pregnancy. Biomechanics and Modeling in Mechanobiology, 18, 1155-1176.

    https://doi.org/10.1007/s10237-019-01135-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48907
30. KERNOT, D., Yang, J., Williams, N., Thomas, T., Ledger, P., Arora, H., & van Loon, R. (2022). Transient changes during microwave ablation simulation : a comparative shape analysis. Biomechanics and Modeling in Mechanobiology, 0

    https://doi.org/10.1007/s10237-022-01646-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61532

All Research

• A novel high fidelity brain phantom testbed for medical devices. (current)

  PhD

  Other supervisor: Dr Hari Arora

• Additive Manufacture of Energetic Materials (current)

  PhD

  Other supervisor: Dr Hari Arora

• Active lung models for novel disease insight. (current)

  PhD

  Other supervisor: Dr Hari Arora

• Bayesian Physics Informed Neural Network Surrogate Solvers for 1D Haemodynamic Vessel Systems (current)

  PhD

  Other supervisor: Dr Hari Arora

• Model-based Parameter Estimation in Biological Tissues to Aid the Development of Medical Devices for Thermal Ablation (current)

  PhD

  Other supervisor: Dr Hari Arora

• Numerical investigation of lymph flow through pumping lymphatics (awarded 2023)

  PhD

  Other supervisor: Prof Owen Guy

• A method to determine mechanical skin properties using Cutometer and Moisturemeter (Subject to change) (current)

  MSc

  Other supervisor: Dr Hari Arora

• Development of a new diagnostic predictor for pre-eclampsia through the creation of personalised cardiovascular models (current)

  MSc

  Other supervisor: Dr Alberto Coccarelli

• EG-215 Process Modelling

  The module aims to develop the ability to construct mathematical models of processes so as to be able to predict their performance and optimise their design. Models of simple processes will lead to ordinary (or partial) differential equations, with special reference to biochemical and biomedical engineering processes, as well as environmental and general engineering systems..

• EG-238 Experimental Studies for Medical Engineers

  The course introduces the students to experimental studies in a wide range of subjects. Each experiment is self contained and the student will present the findings in written form through a lab report which will have a set of experiment specific questions to answer. This written report also forms the basis for the assessment. All students work in groups and carry out five experiments which vary according to discipline, however the assignments are all individually submitted. The students keep a log-book of the experimental observations and results, which is used for reference for the technical report from each experiment written-up in the week after the experiment.

• EGA336 Biomedical Flows in Physiology and Medical Devices

• EGP301 Year 3 Medical Practical

  This module is a practical catch-up designed to ensure that students have the opportunity to undertake practical skills that may have been missed due to COVID19.

• EGTX02 Introduction to Biomaterials (BMEN343)

  Introduction to the structure-property relationships of engineering materials with an application to medical devices.

• EGTX03 Engineering Analysis for Mechanical Engineers (MEEN-357)

  This course provides a practical foundation for the use of numerical methods to solve engineering problems. The topics studied in this course are: error estimation, Taylor series, solution of non-linear algebraic equations and linear simultaneous equations; numerical integration and differentiation; initial value and boundary value problems. We will study these techniques mathematically and apply them to engineering problems. Personal computers are extensively used in this course and students are expected to program the numerical analysis techniques studied. MATLAB is the programming language to be used during this class. Although no previous knowledge of programming in general or MATLAB in particular is required, the students are expected to become proficient in the use of this tool by the end of the semester.

• EGTX04 Statistics for Biomedical Engineering (BMEN 350)

  This course is intended for students in biomedical engineering and covers statistical methods important for analyzing data arising from the medical device and pharmaceutical industry, biomedical research, clinical trials, and epidemiology; students will learn how to choose and apply suitable statistical tests to solve typical problems encountered during their careers as biomedical engineers.

• EGTX05 Analysis and Design Project I (BMEN-453)

  Group or team biomedical engineering analysis and design project involving statement, alternative approaches for solution, specific system analysis and design.

• EGTX07 Computer Aided Engineering with MATLAB (BMEN-485)

  The course provides a practical foundation for the use of numerical methods to solve engineering problems. It will review MATLAB programming techniques and apply these techniques to a range of engineering problems. By the end of the course students should 1) feel comfortable in a programming environment 2) be able to translate numerical formulations into a program, 3) solve engineering problems computationally with a critical view on accuracy and speed.

• EGTX08 Engineering Biology (BMEN282)

  The purpose of the course is to become familiar with fundamental concepts in molecular and cellular biology and to apply engineering principles to understand cellular functions.

• EGTX09 Principles of Statistics I (STAT211)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical & chemical engineering. Any information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details. This module is taken as the equivalent of EG-285 Statistical and Computational Methods, which is taught in the College of Engineering at Swansea University.

• EGTX10 Physiology for Bio-engineers (VTPP-434)

  This course is intended for students in biomedical engineering and covers statistical methods important for analyzing data arising from the medical device and pharmaceutical industry, biomedical research, clinical trials, and epidemiology; students will learn how to choose and apply suitable statistical tests to solve typical problems encountered during their careers as biomedical engineers.

• EGTX11 Chemical Engineering Mass Transfer Operation (CHEN324)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.

• EGTX12 Process Dynamics and Control (CHEN461)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical and chemical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.

• EGTX13 Process Safety Engineering (CHEN455)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical and chemical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.

• EGTX14 Heat Transfer (MEEN461)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical and chemical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.

• EGTX15 Renewable Energy Conversion (BAEN414)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical and chemical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.

• EGTX17 Chemical Engineering Lab II (CHEN433)

  TBA

• EGTX18 Structural Analysis (A&M 306)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in aerospace engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.

• EGTX19 Intro to aerothermodynamics (A&M 212)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in aerospace engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.

• EGTX20 Subsonic Aerodynamics (A&M 301)

  To be defined by Texas A&M

• EGTX21 Dynamics of Aerospace Vehicles (A&M 321)

  This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in aerospace engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.

• EGTX22 Aerospace Systems for Texas Exchange Students (replaces EGA220)

  The modules introduces systems to aerospace engineering students, and covers aspects of systems engineering, aircraft fluid systems, aircraft electrical and electronics systems, management maintenance, reliability and sustainability of systems.

• EGTX24 Technical and Business Writing (EGL210)

  To be decided by Texas A&M

• EGTX25 Essentials in Biology (BIOL113)

  To be decided by Texas A&M

• EGTX26 Chemical Engineering Materials (CHEN322)

  To be decided by Texas A&M

• EGTX27 MATH 251 Calculus 3 (Texas)

  To be decided by Texas A&M

• SR-113 Human Neuromusculoskeletal System

  The purpose of the module is to develop knowledge and understanding of the structure and function of the following systems of the human body: skeletal system, muscular system, articular system, nervous system, endocrine system, digestive system, urinary system. In addition an introduction to medical engineering will be given, highlighting the variety of topics studied within the field of medical engineering.

• Adjunct Associate Professor, Dpt. Biomedical Engineering, Texas A&M University

  2013 - Present

• Associate Professor, C2EC, Swansea University

  2012 - Present

• Lecturer (RCUK fellow), C2EC, Swansea University

  2007 - 2012

• Research Fellow (Marie Curie Intra-European Fellowship), Dpt. Aeronautics, Imperial College London

  2005 - 2007

• PhD, Dpt. Biomedical Engineering, Eindhoven University of Technology

  2001 - 2005

• Marie Curie Intra-European Fellowship 2006 - 2007

• EPSRC 2010 - 2011

• NISCHR PhD studentship 2011 - 2014

• BTG 2011 - 2012