Research

Physics Informed Machine Learning for Laser Dynamics: Numerical Modeling of Solitary Semiconductor Lasers With and Without Delayed Optical Feedback

Department of Electrical and Computer Engineering, Princeton University December 12, 2025

machine learningMLsemiconductor

Inverse Parameter Detection of RF Exposure Using Convolutional Neural Networks Trained on FDTD-derived SAR Profiles

We present a machine-learning framework for inverse RF exposure reconstruction, using convolutional neural networks (CNNs) trained on SAR profiles generated via finite-difference time-domain (FDTD) simulations.

RFradiofrequencymachine learning