Computational Electromagnetics
Numerical approaches for electromagnetic problems, transmission-line networks and field/source identification.
My research and teaching activities focus on Computational Electromagnetics, Electromagnetic Compatibility (EMC), Signal Integrity, Machine Learning & AI, Physics-Informed Neural Networks (PINNs), and Scientific Computing. I am currently open to opportunities as a Postdoctoral Researcher, Research Scientist, Assistant Professor, or other related research and academic positions. Please feel free to contact me or share my profile within your network. I am always interested in connecting with researchers, academic institutions, and R&D teams working in related fields.
COMPUTATIONAL PHYSICS · ELECTROMAGNETICS · EMC · AI · ML · NEUTRON PHYSICS (NAA, PGNAA) · REACTOR PHYSICS
Computational physicist and researcher working at the intersection of electromagnetic compatibility, signal integrity, numerical simulation and machine learning.
01 - ABOUT
I am Brahim El Mokhtari, a researcher in electrical, electronic and systems engineering. My Ph.D. work at Université Clermont Auvergne focused on source identification approaches for electromagnetic compatibility and signal-integrity issues, with an opening toward machine-learning models.
My background also includes nuclear physics, radiation technologies, scientific computing, electromagnetic simulation and software development.
02 - RESEARCH
Numerical approaches for electromagnetic problems, transmission-line networks and field/source identification.
Transient crosstalk, interference mitigation, source identification and software-based correction approaches.
Physics-informed neural networks and machine-learning approaches for inverse and computational electromagnetic problems.
Python, MATLAB and numerical simulation workflows applied to physics and engineering research.
Neutron Activation Analysis (NAA), PGNAA and reactor physics.
03 - PUBLICATIONS
B. El Mokhtari, C. Chauviere, P. Bonnet
DOI ↗B. El Mokhtari, C. Jullien, P. Bonnet
DOI ↗L. El Amri et al.
DOI ↗L. El Amri et al.
DOI ↗B. El Mokhtari et al.
DOI ↗04 - EXPERIENCE & EDUCATION
Université Clermont Auvergne, France · 6 months
Pascal Institute, Université Clermont Auvergne, France
Thesis: Source Identification Approaches for EMC and SI Issues: Opening Towards Machine Learning Models
EMC · Pascal Institute, UCA
EUPI, Université Clermont Auvergne, France
Faculty of Sciences, Mohammed V University, Rabat, Morocco
Mohammed V University, Rabat, Morocco
05 - TOOLBOX
Python · TensorFlow · Keras · PyTorch · MATLAB · Java · C · C# · Fortran · LaTeX
CST Studio Suite · COMSOL Multiphysics · LTspice · MCNP
Linux · Java Swing · Unity · 3ds Max · Scientific GUI development
English · French · Arabic
06 - CONTACT
For research collaborations, academic opportunities, teaching or scientific projects.
07 - Project
Open scientific projects / Share / Collaborate / Support.