Development of Excel based photonics models for educational purposes and in general for exploring photonics technologies (see "Books"). The use of an affordable and ubiquitous tool will make photonics models more easily accessible. This will help to broaden the understanding about optical technologies and their governing relationships — a prerequisite to understand and develop new photonics applications using new, cheap, and powerful components, which are becoming broadly available at fast pace.
Using computational physics models to explore opportunities arising from new devices, manufacturing technologies and materials.
Exploring neural networks — known to be universal approximators — as computationally efficient surrogate models for physical components, subsystems and systems. The applications of interest are:
(I) Using simulation to explore computationally and energy efficient implementations of sensing and computing functions in small, lightweight, and low power devices. Potential applications are in IoT devices, micro UAV's and in general in autarchic and/or autonomous (sensing) systems.
(II) Cyber physical systems (CPS) systems, typically with a large number of components (see "Articles and Presentations").