This session provides an opportunity for AI-powered diffractive optics researchers from around the world to share their recent advances. The purpose of this session is to present the high-quality research exploring novel properties of established diffractive optical elements, metasurfaces, and proposing innovative sensor designs using ML. Special emphasis is placed on the intersection of nanophotonics and plasmonics with intelligent computational methods to achieve ultra-sensitive and multifunctional sensing platforms.
We welcome original research talks and overviews. Topics of interest include, but are not limited to:
- Machine Learning-enhanced Design and Optimization of Diffractive Optical Sensors
- Novel Sensing Paradigms Using Reconfigurable Diffractive Elements
- Metasurface-based Sensors for Biochemical and Physical Measurements
- Computational Sensing with Diffractive Optical Components
- Multi-functional Diffractive Elements for Advanced Sensing Applications
- Integration of Diffractive Optical Elements-based Sensors with AI for Data Analysis and Interpretation
- Nanophotonic and Plasmonic-enhanced Diffractive Sensors for Ultra-sensitive Detection
- Machine Learning for the Inverse Design of Nanophotonic and Plasmonic Diffractive Sensors
- Advanced Nanophotonic and Plasmonic Structures for Intelligent Diffractive Sensing
