Scientific software

GOLIAT

GOLIAT is a Python framework that automates electromagnetic field (EMF) dosimetry simulations from start to finish. Calculate Specific Absorption Rate (SAR) in digital human phantoms with minimal manual intervention, whether you're simulating a phone call (near-field) or environmental exposure (far-field).

Code Documentation Python package Tutorials Monitoring dashboard

AEGIS

Full-stack platform that computes real-time EM exposure on humans in realistic 3D environments.

AEGIS reduces FDTD evaluation from 11 hours to 10 milliseconds on a GPU. I validated its accuracy within 7% of my FDTD simulations. I filed a priority patent application.

App Documentation Code

GOLIAT funding and acknowledgements

This software is written for subtask 1.5 of 5G expOsure, causaL effects, and rIsk perception through citizen engAgemenT (GOLIAT) funded by the European Union as part of the CLUE-H consortium to study health effects of radio-frequency electromagnetic fields. Subtask 1.5 is central to the project to relate incident fields to absorption values inside of humans.