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 Video on Run-Time Energy Management29th July 2014
I recently recorded a video about our current research into runtime management for energy efficiency.The research is being conducted as part of the PRiME project, and this particular strand of work has been led by PhD student Luis Maeda.
22 Lectures Delivered in Malaysia!28th October 2013
I have just returned from a fortnight's intensive teaching visit to the University of Southampton's Malaysia Campus (USMC), at EduCity@Iskandar Nusjaya.
ECS welcomed our inital intake of 10 students onto our top-quality Electrical and Electronic Engineering (EEE) degree course, which has been offered for the first time this autumn at USMC. The EEE degree joins Southampton's undergraduate MEng in Mechanical Engineering that enrolled its first students at USMC in 2012.
Our four year 2+2 MEng... [more]