Dean McNeill

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Electrical and Computer Engineering
Signal Processing, Embedded Systems, Structural Health Monitoring
Embedded systems, structural health monitoring, adaptive signal processing, and real-time and ubiquitous computing
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My research interests and activities fall in two main areas. The first is information processing using statistical pattern recognition techniques, such as neural computing. At present this is focused on applying information processing methods to structural health monitoring data obtained from civil engineering infrastructure – primarily bridges.
My second area of research interest is in the design of embedded computing systems. These are systems/products that are controlled by or employ computing technology but where the device itself is not a computer (ex. smart phone). The ability to obtain substantial computing power at low cost allows for sophisticated computer driven systems to be developed in an almost limitless variety of specialized application. This, together with the increasing ubiquity of wired/wireless internet connectivity, has resulted in significant innovations in the use of computing technologies in recent years.

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