Submitted by Jonathan Goddard on Wed, 11/09/2019 - 11:27
Andreas Grammenos, a third-year PhD student in the Department, has won a Distinguished Paper Award for the paper “You Are Sensing, but Are You Biased? A User Unaided Sensor Calibration Approach for Mobile Sensing”. The paper was coauthored by Andreas Grammenos, Professor Cecilia Mascolo and Professor Jon Crowcroft.
Andreas joined the University of Cambridge as a PhD student in October 2016, and is also a doctoral student at The Alan Turing Institute.
Andreas’ thesis revolves around big data primarily sourced from mobile devices, and the challenges involved in dealing with it. His broader research interests include Data Analytics, an intersection of computer science, systems programming and mathematics.
The paper was published in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 2, Issue 1 (March 2018).
A selection committee made up of 16 members of the IMWUT Editorial Board selected Andreas' paper as one of 8, out of 202 papers published. Those eight papers were judged to represent outstanding, exemplary contributions to the UbiComp research community.
The award was announced and presented at the UbiComp 2019 Drinks & Awards Reception on Tuesday 10th September at the Natural History Museum in London.
