Congratulations to PhD students James Mount (lead author and researcher) and Ming Xu for winning a highly competitive SAGE Publishing Publication Prize for their IEEE Robotics and Automation Society Robotics and Automation Letters journal paper, “Unsupervised Selection of Optimal Operating Parameters for Visual Place Recognition Algorithms Using Gaussian Mixture Models”.
The winners of the 2020 SAGE Publication prize were announced in an online ceremony on Thursday 28 January. The Deputy Chair of the QUT Office for Scholarly Communication Advisory Board, Dr Levon Blue from QUT’s Carumba Institute, awarded the prizes to the winners, who then shared a summary of their research and a publishing tip.
Sage Publishing has partnered with QUT since 2014, in sponsoring this publication prize.
Prize winners were asked to give a publishing tip and James’ tip is below:
“Collaboration! It can allow you to improve your writing style and overcome weaknesses. My previous papers were driven by experiments and heuristics. However, I wanted to create a system with more theoretical rigour. So I invited Ming, my co-author, who loves first principle approaches to help, by doing so I have improved my own approach to writing and gained wonderful insights.”