A collection of tools and reproducible research code for analyzing human exposure to electromagnetic fields, developed during my PhD research.
Overview
This project tackles the challenge of assessing how radio-frequency electromagnetic (EM) fields (6 GHz to 300 GHz) interact with the human body. As wireless technology moves into millimeter-wave frequencies, understanding exposure becomes increasingly important.
dosipy
The core of this project is dosipy, a Python package for high-frequency EM and thermal dosimetry simulation. It includes:
- Data models for anatomical structures
- Numerical integration utilities for complex 3D surfaces
- A bio-heat equation solver for thermal analysis
- Automatic differentiation for EM field assessment
Research Applications
The playground directory contains code that reproduces results from several peer-reviewed publications:
- Spatial averaging of absorbed power density on realistic body models
- Incident power density assessment on anatomical human models
- Machine learning-assisted antenna modeling
- Exposure scenarios involving wearable devices