Announcing the 2021 Wilkes Award

As Editor-in-Chief of The Computer Journal, published by Oxford University Press, it is my honour to select the recipient of the annual Wilkes Award to the authors of the best paper published in the previous year’s volume, on the advice on an expert judging panel. The key judging criteria for the Award are originality and quality of theme and treatment.

We are thus pleased to announce this year’s winning, runner up and shortlisted papers for the 2021 Wilkes Award for Volume 63 (2020):

Winning paper

RIoT: A Routing Protocol for the Internet of Things
Muhammad Omer Farooq
The Computer Journal, Volume 63, Issue 6 (June 2020), pp.958-973

Runner up

Hidden Markov Model-based Load Balancing in Data Center Networks
Binjie He, Dong Zhang and Chang Zhao
The Computer Journal, Volume 63, Issue 10 (October 2020), pp.1449-1462

You can also explore the shortlist of papers that were selected by the Section Editors for the judging panel’s consideration; all papers are freely available. You can also browse previous winners of the Wilkes Award. Also, thank you to the Wilkes Award judging panel:

  • Professor Steve Furnell, School of Computing, Electronics and Mathematics, Plymouth University, UK
  • Professor Fairouz Kamareddine, School of Mathematical and Computer Sciences, Heriot-Watt University, UK
  • Professor John Shawe-Taylor, Centre for Computational Statistics and Machine Learning, University College London, UK

The award is named after Sir Maurice Wilkes, who was Director of the Cambridge Computer Laboratory throughout the development of stored program computers starting with EDSAC; inventor of labels, macros and microprogramming; and with David Wheeler and Stanley Gill, the inventor of a programming system based on subroutines.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.