Near-field optics is an exciting frontier of photonics and plasmonics. The tandem of strongly
localized fields and enhanced emission rates offers significant opportunities for wide …

In this work, we present a reproducible suite of test problems for large-scale optimization
(“inverse design” and “topology optimization”) in photonics, where the prevalence of …

We present a general framework for the computation of structure-agnostic bounds on the
performance of passive cloaks over a nonzero bandwidth. We apply this framework in two …

Recent advances in fundamental performance limits for power quantities based on
Lagrange duality are proving to be a powerful theoretical tool for understanding …

Recent advances in photonic optimization have enabled calculation of performance bounds
for a wide range of electromagnetic objectives, albeit restricted to single-material systems …

We propose a spectral-averaging procedure that enables computation of bandwidth-
integrated local density of states (LDOS) from a single scattering calculation, and exploit it to …

We propose a spectral-averaging procedure that enables the computation of bandwidth-
integrated local density of states (LDOS) from a single scattering calculation, and exploit it to …

We present a symmetry-agnostic topology optimization framework for photonic-crystal
structures based on computation of the photonic density of states in a manner analogous to …

This thesis presents novel methodologies to integrate AI-driven and physics-inspired
methodologies into photonic inverse design, setting new benchmarks for high-performance …

Information transfer through electromagnetic waves is an important problem that touches a
variety of technologically relevant applications, including computing and …