Stephen Tierney

LTR390 Support in ESPHome

Upcoming - Code

I added support for the LTR390 UV and ambient light sensor to ESPHome. Pull request on Github.

16/09/2021 - In the Media

I was interviewed by the USYD Co-Design Research Group about our innovative approach to teaching online.

10/09/2021 - Talks

Alison Wong and I presented at the Education track of PyCon AU 2021 about our innovative approach to teaching online.

18/08/2021 - Code

I added support for the PMSA003I particulate matter sensor to ESPHome. Pull request on Github.

1/8/2021 - Papers - Signal Processing

KNN filtering reduces computation requirements for Subspace Clustering. Theorertical justification is provided and empirically validated. View on Google Scholar.

19/5/2021 - Code

I added support for the SHT4X temperature and humidity sensor to ESPHome. Pull request on Github.

27/10/2020 - Talks

Andrey Vasnev and I presented at ISF 2020 about the Forecast Lab, which provides easily accessible economic and financial forecasts.

10/10/2021 - In the Media

This Sydney Morning Herald article uses visualiations from my 'Teacher Pay Comparison' dashboard.

13/7/2020 - Code

I wrote a Python implementation of 'Better Estimates from Binned Income Data'. This technique allows distributions to be estimated from binned data.

16/6/2020 - Code

I made a supplemental dashboard to accompany submission to 'Valuing the teaching profession' inquiry. The dashboard uses plot.ly Dash and the code is available on Github.

2/4/2020 - Papers - IEEE Transactions on Neural Networks and Learning Systems

We extend subspace clustering to data that represents functions and curves. View on Google Scholar.

3/10/2019 - Code

I recreated this Greens NSW website using Dash. Code on Github.

21/4/2019 - Code

I wrote a wrapper for Dash to support multi page apps.

7/2/2019 - Code

I wrote a Python package for function caching that prevents re-entrant calls.

23/11/2015 - Papers- DICTA 2015

We show that fusing multiple noisy images under a total variation penalty improves reconstruction. This idea can be selectively applied to individual pixels of each source image in the case of corrupted sections of images. View on Google Scholar.

12/7/2015 - Papers - IJCNN 2015

We show that forcing the affinity matrix of SpatSC to be low-rank improves performance. View on Google Scholar.

25/11/2014 - Papers - DICTA 2014

We show that the pixel affinity from a high resolution image can be used to enhance low resolution images of the same scene. This technique is general enough to support fusion between any image types. View on Google Scholar.

2014 - Papers - CVPR 2014

We show that subspace clustering on sequential data can be dramatically improved by incorporating spatial constraints. View on Google Scholar.

26/11/2013 - Papers - DICTA 2013

We show that iteratively refining an alpha matte can lead to impressive results with very sparse labels. View on Google Scholar.

3/12/2012 - Papers

We show that total variation regularisation improves alpha mattes. View on Google Scholar.