As part of our collaborative research work with SELEX Sensors and
Airborne Systems Limited, we wish to recruit a research student for a
PhD study on sensor networks for surveillance and monitoring
applications. The main objective of the proposed research project is
to explore the usage of sensor networks in improving monitoring and
surveillance performances, with an emphasis on the provision of
actionable user information (e.g. decision support etc.) gathered from
integrated multi-modal systems. This requires, first, improving
deployment strategies and associated supporting tools for the
deployment of static sensor nodes in order to provide optimal coverage/
context awareness from the deployed system within the monitored area.
Based on decentralized sensing architecture, robust threat
identification and sensor node localization algorithms will also be
investigated. In addition, efficient data/information fusion from
heterogeneous sensors (such as EO/IR visual, acoustic and seismic
sensors) will be carried on to improve threat detection, behaviour
within its operating context. The potential to exploit the
distributed tracking capabilities of multi-modal sensor networks will
also be assessed during this work. The project will be carried out in
close collaboration with our industrial partner and the resulting
interactions will provide an exceptionally rich research environment.
In addition to simulation validation, this project entails 30% real
time experiments to embed proposed algorithms on representative sensor
network hardware capabilities.
Entry Requirements: For this research studentship, we are seeking a
talented graduate, having (or be expected to obtain) at least an upper
second class honours degree (first class honours preferred), MSc or
equivalent in electrical engineering or computer science. Good
mathematical background and experience of sensor signal processing,
distributed/networked systems, Bayesian based inference techniques,
data/information fusion and real time systems would be most desirable.
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