Best Paper Award at IJCAI 201315th July 2013
Our paper titled "A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring" received the award for Outstanding Student Paper at the International Joint Conference for Artificial Intelligence (IJCAI), 2013. The conference was held in Beijing, China, and the paper was presented by Davide Zilli.
Davide Zilli receiving the award
Abstract: Automated acoustic recognition of species aims to provide a cost-effective method for biodiversity monitoring. This is particularly appealing for detecting endangered animals with a distinctive call, such as the New Forest cicada. To this end, we pursue a crowdsourcing approach, whereby the millions of visitors to the New Forest will help to monitor the presence of this cicada by means of a smartphone app that can detect its mating call. However, current systems for acoustic insect classification are aimed at batch processing and not suited to a real-time approach as required by this system, because they are too computationally expensive and not robust to environmental noise. To address this short-coming we propose a novel insect detection algorithm based on a hidden Markov model to which we feed as a single feature vector the ratio of two key frequencies extracted through the Goertzel algorithm. Our results show that this novel approach, compared to the state of the art for batch insect classification, is much more robust to noise while also reducing the computational cost.
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PRiME featured on Cover of New Electronics14th October 2014
We were recently interviewed by the New Electronics magazine, who was interested in our research on the PRiME (Power and Reliability in Many-core Embedded systems) project. As a result, it was featured as a cover-story in the 14 October 2014 issue.
Specifically to me, the article comments:
A future challenge for many core systems is that application developers will face architectures that are changing all the time and it is unrealistic to expect them to alter their code constantly to deal ... [more]
Awarded Prestigeous £5.5M EPSRC Programme Grant18th February 2013
We have just been awarded a large EPSRC-funded Programme Grant of £5.5M (totalling £10.7M when University and Industrial contributions are included), with Professor Bashir Al-Hashimi as the Director and myself as one of the Co-Investigators. I will also have the role of Applications Leader, and are responsible for ensuring cross-layer collaboration between research partners.
The project, codename PRiME (Power-efficient, Reliable, Many-core Embedded systems), will address major cha... [more]