6 papers
Chip-scale nanostructured chaotic billiards for broadband speckle spectrometry
Matthew R. Wilson, Benoit Guilhabert, Jack A. Smith +2
Computational on-chip spectrometers are emerging as a powerful platform for portable spectral analysis, combining photonic integration with advanced signal processing to enable a w…
Single Pixel Image Classification using an Ultrafast Digital Light Projector
Aisha Kanwal, Graeme E. Johnstone, Fahimeh Dehkhoda +5
Pattern recognition and image classification are essential tasks in machine vision. Autonomous vehicles, for example, require being able to collect the complex information containe…
Robust Physical Encryption and Unclonable Object Identification in Classical Optical Networks using Standard Integrated Photonic Components
Jack A. Smith, Michael J. Strain
Spectral complexity is a useful resource in physical device identification, disorder-enhanced spectroscopy, and machine learning, but is often achieved in chip-scale devices at the…
Compact Eye Tracking for VR/AR Displays via Deep Learned MicroLED Projection and Single-Pixel Sensing
Graeme E. Johnstone, Catherine F. Higham, Aisha Kanwal +5
Fast and accurate eye tracking in a virtual reality or augmented reality headset could lead to better display performance and enable novel methods of user interaction with the syst…
On-chip wave chaos for photonic extreme learning
Matthew R. Wilson, Jack A. Smith, Michael J. Strain +1
The increase in demand for scalable and energy efficient artificial neural networks has put the focus on novel hardware solutions. Integrated photonics offers a compact, parallel a…
Modulation of nanowire emitter arrays using micro-LED technology
Zhongyi Xia, Dimitars Jevtics, Benoit Guilhabert +6
A scalable excitation platform for nanophotonic emitters using individually addressable micro-LED-on-CMOS arrays is demonstrated for the first time. Heterogeneous integration by tr…