Biography
Professor Antoine Jérusalem graduated in 2004 with a double degree from the Ecole Nationale Supérieure de l’Aéronautique et de l’Espace with a Diplôme d’Ingénieur, and from the Massachusetts Institute of Technology with a Master of Science in Aeronautics and Astronautics. In 2007, he obtained his Ph.D. in Computational Mechanics of Materials from MIT, where he stayed as a Postdoctoral Associate for a year.
Antoine was the group leader of the Computational Mechanics of Materials Group in Madrid’s Advanced Studies Institute of Materials (IMDEAMaterials) from 2008 to 2012, and is currently a Professor of Mechanical Engineering at the University of Oxford. He is also an Affiliate Researcher in the Mathematical Institute at Oxford and the codirector of the International Brain Mechanics and Trauma Lab.
Antoine's research activities focus on computational modelling of many types of materials and structures, ranging from metals to composite materials with a major focus on the multiphysics of neurons and brain and applications in Ultrasound Neuromodulation and TBI. His modelling activities involve the development and use of state-of-the-art advanced numerical techniques. Professor Jérusalem has active collaborations with different institutes and universities around the world.
Research Interests
- Computational mechanics of materials
- Multiscale and multiphysics mechanics
- Brain mechanics
- Ultrasound neuromodulation
- TBI
Current Projects
ASiMoV
Strategic Partnership in Computational Science for Advanced Simulation and Modelling of Engineering Systems.
EPSRC Prosperity Partnership Grant (2018-2023)
NeuroPulse
NeuroPulse: Electrophysiological-mechanical coupled pulses in neural membranes: a new paradigm for clinical therapy of SCI and TBI. EPSRC Healthcare Technologies Challenge Award (2016-2021)
Prediction of Traumatic Brain Injury (TBI)
A tool for investigation, harm reduction, and violence prevention.
Police Star Fund (2022-2023)
Brainwaves in a bio-hybrid chip
John Fell Fund (2022-2023)
Recent publications
Modelling transcranial ultrasound neuromodulation: an energy-based multiscale framework.
Chen H, Felix C, Folloni D, Verhagen L, Sallet J et al. (2022), Acta biomaterialia, S1742-7061(22)00435-4
BibTeX
@article{modellingtransc-2022/7,
title={Modelling transcranial ultrasound neuromodulation: an energy-based multiscale framework.},
author={Chen H, Felix C, Folloni D, Verhagen L, Sallet J et al.},
journal={Acta biomaterialia},
pages={S1742-7061(22)00435-4},
year = "2022"
}
White matter tract transcranial ultrasound stimulation, a computational study
felix C, Folloni D, Chen H, Sallet J & Jerusalem A (2021), Computers in Biology and Medicine, 140
BibTeX
@article{whitemattertrac-2021/12,
title={White matter tract transcranial ultrasound stimulation, a computational study},
author={felix C, Folloni D, Chen H, Sallet J & Jerusalem A},
journal={Computers in Biology and Medicine},
volume={140},
number={105094},
publisher={Elsevier},
year = "2021"
}
Single cell electrophysiological alterations under dynamic loading at ultrasonic frequencies
Tamayo-Elizalde M, Kayal C, Ye H & Jerusalem A (2021), Brain Multiphysics, 2
BibTeX
@article{singlecellelect-2021/8,
title={Single cell electrophysiological alterations under dynamic loading at ultrasonic frequencies},
author={Tamayo-Elizalde M, Kayal C, Ye H & Jerusalem A},
journal={Brain Multiphysics},
volume={2},
number={100031},
publisher={Elsevier},
year = "2021"
}
A framework for low intensity low frequency ultrasound neuromodulation sonication parameters identification from micromechanical flexoelectricity modelling
Chen H & Jerusalem A (2021), Ultrasound in Medicine and Biology
BibTeX
@article{aframeworkforlo-2021/4,
title={A framework for low intensity low frequency ultrasound neuromodulation sonication parameters identification from micromechanical flexoelectricity modelling},
author={Chen H & Jerusalem A},
journal={Ultrasound in Medicine and Biology},
publisher={Elsevier},
year = "2021"
}
Machine learning based multiscale calibration of mesoscopic constitutive models for composite materials: application to brain white matter
Field D, Ammouche Y, Pena J & Jerusalem A (2021), Computational Mechanics, 67(2021), 1629-1643
BibTeX
@article{machinelearning-2021/4,
title={Machine learning based multiscale calibration of mesoscopic constitutive models for composite materials: application to brain white matter},
author={Field D, Ammouche Y, Pena J & Jerusalem A},
journal={Computational Mechanics},
volume={67},
pages={1629-1643},
publisher={Springer Nature},
year = "2021"
}
A machine learning enhanced mechanistic simulation framework for functional deficit prediction in TBI
Schroder A, Lawrence T, Voets N, Garcia-Gonzalez D, Jones M et al. (2021), Frontiers in Bioengineering and Biotechnology, 9
BibTeX
@article{amachinelearnin-2021/3,
title={A machine learning enhanced mechanistic simulation framework for functional deficit prediction in TBI},
author={Schroder A, Lawrence T, Voets N, Garcia-Gonzalez D, Jones M et al.},
journal={Frontiers in Bioengineering and Biotechnology},
volume={9},
number={587082},
publisher={Frontiers Media},
year = "2021"
}
Action potential alterations induced by single F11 neuronal cell loading
Tamayo-Elizalde M, Chen H, Malboubi M, Ye H & Jerusalem A (2021), Progress in Biophysics and Molecular Biology, 162, 141-153
BibTeX
@article{actionpotential-2021/1,
title={Action potential alterations induced by single F11 neuronal cell loading},
author={Tamayo-Elizalde M, Chen H, Malboubi M, Ye H & Jerusalem A},
journal={Progress in Biophysics and Molecular Biology},
volume={162},
pages={141-153},
publisher={Elsevier},
year = "2021"
}
Design of FDM 3D printed polymers: an experimental-modelling methodology for mechanical property prediction
Garzon-Hernandez S, Garcia-Gonzalez D, Jerusalem A & Arias A (2019), Materials and Design, 188(March 2020)
BibTeX
@article{designoffdmdpri-2019/12,
title={Design of FDM 3D printed polymers: an experimental-modelling methodology for mechanical property prediction},
author={Garzon-Hernandez S, Garcia-Gonzalez D, Jerusalem A & Arias A},
journal={Materials and Design},
volume={188},
number={108414},
publisher={Elsevier},
year = "2019"
}
Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit
Latorre A, Kwong MT, Garcia-Grajales JA, Shi R, Jerusalem A et al. (2019), Journal of Computational Science, 39
BibTeX
@article{modelcalibratio-2019/11,
title={Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit},
author={Latorre A, Kwong MT, Garcia-Grajales JA, Shi R, Jerusalem A et al.},
journal={Journal of Computational Science},
volume={39},
number={101053},
publisher={Elsevier},
year = "2019"
}
Medical imaging based in silico head model for ischaemic stroke simulation
Bing Y, Garcia-Gonzalez D, Voets N & Jérusalem A (2019), Journal of the Mechanical Behavior of Biomedical Materials, 101
BibTeX
@article{medicalimagingb-2019/9,
title={Medical imaging based in silico head model for ischaemic stroke simulation},
author={Bing Y, Garcia-Gonzalez D, Voets N & Jérusalem A},
journal={Journal of the Mechanical Behavior of Biomedical Materials},
volume={101},
number={103442},
publisher={Elsevier},
year = "2019"
}
