ARC Future Fellowships - Grant ID: FT200100154

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/FT200100154

Funding Status
Active

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Funded Activity Summary

Next generation photonic waveguide sensors enabled by machine learning. This project aims to establish the next frontier in photonic waveguide sensing, by using machine learning to shift the complexity out of conventional photonic-waveguide/optical-fibre sensors and into smart detection algorithms. The complexity and instability of multimode photonic waveguides, traditionally a hinderance to sensing, will be advantageously employed to train deep learning models for sensing. Expected outcomes include the creation of intelligent photonic sensors that can, in principle, measure any environmental parameter using any optical waveguide material. It will create new critically needed measurement capabilities for challenging harsh environments, such as extreme temperature and in-vivo biochemical sensing.

Funded Activity Details

Start Date: 02-2021

End Date: 01-2025

Funding Scheme: ARC Future Fellowships

Funding Amount: $778,452.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural, Evolutionary and Fuzzy Computation | Optical Physics | Photonics, Optoelectronics and Optical Communications

ANZSRC Socio-Economic Objective (SEO)

Industrial Instruments | Medical Instruments | Expanding Knowledge in the Physical Sciences |

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