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Details of Grant 

EPSRC Reference: EP/N007565/1
Title: Science of Sensor System Software
Principal Investigator: Calder, Professor M
Other Investigators:
Fisher, Professor M Dobson, Professor S McCann, Professor J
Researcher Co-Investigators:
Project Partners:
ABB CENSIS Freescale Semiconductor
Jacobs UK Limited NERC Grouped Rolls-Royce Plc
Scottish Canals Thales Ltd Topolytics
Transport Scotland
Department: School of Computing Science
Organisation: University of Glasgow
Scheme: Programme Grants
Starts: 01 January 2016 Ends: 31 December 2020 Value (£): 4,183,694
EPSRC Research Topic Classifications:
Artificial Intelligence Control Engineering
Fundamentals of Computing Mobile Computing
Software Engineering
EPSRC Industrial Sector Classifications:
Information Technologies Transport Systems and Vehicles
Related Grants:
Panel History:
Panel DatePanel NameOutcome
02 Sep 2015 Programme Grant Interviews - 02 September 2015 (ICT) Announced
Summary on Grant Application Form
Sensors are everywhere, facilitating real-time decision making and actuation, and informing policy choices. But extracting information from sensor data is far from straightforward: sensors are noisy, prone to decalibrate, and may be misplaced, moved, compromised, and generally degraded over time. We understand very little about the issues of programming in the face of pervasive uncertainty, yet sensor-driven systems essentially present the designer with uncertainty that cannot be engineered away. Moreover uncertainty is a multi-level phenomenon in which errors in deployment can propagate through to incorrectly-positioned readings and then to poor decisions; system layering breaks down when exposed to

uncertainty.

How can we be assured a sensor system does what we intend, in a range of dynamic environments, and how can we make a system ``smarter'' ? Currently we cannot answer these questions because we are missing a science of sensor system software. We will develop the missing science that will allow us to engineer for the uncertainty inherent in real-world systems. We will deliver new principles and techniques for the development and deployment of verifiable, reliable, autonomous sensor systems that operate in uncertain, multiple and multi-scale environments. The science will be driven and validated by end-user and experimental applications.

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Organisation Website: http://www.gla.ac.uk