Professor Of Computer Science at Coventry University
Bulkington, England, United Kingdom
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James Brusey is a Professor of Computer Science at Coventry University and lead for AI for Cyber Physical Systems, specializing in practical deployment of wireless and body sensor networks for applications from building and car cabin comfort to elderly falls detection. With a PhD from RMIT that won the Australian Computer Science Association Best Thesis award, he blends rigorous academic research with over 15 years of industry experience, including independent consulting and systems programming. He has helped build Coventry’s Cogent Computing centre into a world-class applied research hub, securing industry-sponsored projects and advancing pervasive computing since 2007. His work spans reinforcement learning, Bayesian methods, packet-reduction algorithms and thermal comfort modelling, reflected in ~100 refereed publications and an h-index in the mid-teens to 20 depending on citation source. Notably, his research emphasizes real-world constraints—sensor reliability, network reduction and decision support—bridging theoretical methods with deployable solutions. Based in Bulkington, England, he remains active in interdisciplinary collaborations that translate sensing research into tangible improvements for buildings, vehicles and vulnerable populations.
14 years of coding experience
12 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at RMIT University
Cogent House is a system for sensing temperature, humidity, CO2, Air Quality, VOC, hot water consumption, and electricity consumption within the home. It has been developed by the [http://cogentcomputing.org Cogent Computing Applied Research Centre] at Coventry University. Cogent House is developed using TinyOS and Python.
Contributions:304 commits, 3 PRs, 110 pushes in 11 years 5 months
Contributions:54 pushes, 1 branch in 2 years 9 months
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James Brusey - Professor Of Computer Science at Coventry University