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AI / ML for EM & sensing
Neural surrogates, physics-informed and graph networks for solvers, and learning-based detection across electromagnetics and signal processing.
I apply machine learning where it complements physics — neural surrogates and physics-informed and graph networks that accelerate solvers, and learning-based detection and estimation for radar and sensing.
- Neural surrogates for full-wave solvers
- Physics-informed & graph networks
- Learning-based detection & estimation