Passed My PhD Confirmation Viva

I undertook my Ph.D. Confirmation viva voce today (6th Feb 2018). This entailed a presentation and a report to two professors, Dr. Jonathan Dukes (presentation chair) and Dr. Michael Manzke (domain expert) of Trinity College Dublin who questioned me during and after the presentation. After a short discussion with my supervisor Dr. David Gregg, they confirmed me to the Ph.D. register and therefore become a Ph.D. candidate.

First Paper Published of my PhD by IEEE CAL

Dr. David Gregg and I have had my first paper of my PhD, entitled “Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks” published. The IEEE Computer Architecture Letters published it on 23 January 2017. Whilst waiting for the printed version, the IEEE has published it on their on-line pre-print server. It can also be found on the arXiv.org pre-print server. 

Here are more details of the publication:
Published in: IEEE Computer Architecture Letters ( Volume: PP, Issue: 99)
Date of Publication: 23 January 2017
Print ISSN: 1556-6056
DOI: 10.1109/LCA.2017.2656880
Publisher: IEEE
Sponsored by: IEEE Computer Society

 

Published in: arXiv.org

@ARTICLE{2016arXiv160905132G,
   author = {{Garland}, J. and {Gregg}, D.},
    title = "{Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks}",
  journal = {ArXiv e-prints},
archivePrefix = "arXiv",
   eprint = {1609.05132},
 keywords = {Computer Science - Neural and Evolutionary Computing},
     year = 2016,
    month = aug,
   adsurl = {http://adsabs.harvard.edu/abs/2016arXiv160905132G},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

My complete list of publications can also be seen on my research publications page.

First Paper Accepted by arXiv.org today

Dr. David Gregg and I have had my first PhD paper accepted by the the pre-print server arXiv (pronounced archive). The paper, entitled “Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks” is a 4 page paper, the PDF for which can be found by searching arxiv.org and directly at Comments welcome!