• 434 Citations
  • 12 h-Index
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Personal profile


James Brusey received his BApSc with distinction and PhD from RMIT University in 1996 and 2003, respectively. His PhD won the Australian Computer Science Association award for Best Thesis in 2004. He has over 15 years’ experience in the IT industry, part of which was as an independent consultant. More recently, he has worked as a Senior Research Associate at Cambridge University’s Institute for Manufacturing with funding from the Auto-ID Centre.

Since 2007, James has worked as a Senior Lecturer at Coventry University in wireless sensor networks and a Senior Research Fellow of the Cogent Computing Applied Research Centre. During this period, he has helped to establish Cogent as a world class research centre with a broad portfolio of successful, industry-sponsored projects related to wireless sensor projects. In 2012, he was awarded a readership in Pervasive Computing.

His current research interests include exploring issues with the practical deployment of wireless sensor networks, thermal comfort in buildings and car cabins.

Vision Statement

We are seeing a revolution in the way we think about computing. No longer are computers necessarily unwieldy devices tied to their desk, tethered by power cords and network cabling. Nor are we anymore wedded to the mouse and keyboard for their user interface. The rise in ability and popularity of small mobile, wirelessly connected devices has changed for ever what we thought was possible.

Despite these advances, distributed sensing is only feasible for a limited set of applications and inferring knowledge from these sensors is a problem that we do not yet hold the complete solution to.

I want my research to form part of the solution – to enable inexpensive, reliable, long-lived wireless sensing that provide not just data, but meaningful and reliable high-level information”.

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Research Output 2000 2018

A dynamic linear model for heteroscedastic LDA under class imbalance

Gyamfi, K. S., Brusey, J., Hunt, A. & Gaura, E. 10 Mar 2018 (Submitted) In : Neurocomputing.

Research output: Research - peer-reviewArticle

Discriminant analysis
Area Under Curve
Human Activities
ROC Curve
2 Citations

An event-triggered machine learning approach for accelerometer-based fall detection

Putra, I. P. E. S., Brusey, J., Gaura, E. & Vesilo, R. 1 Jan 2018 In : Sensors. 18, 1, p. 20

Research output: Research - peer-reviewArticle

Open Access
machine learning
Learning systems
Expert systems
Quality control

Modelling uncontrolled solar drying of mango waste

Wilkins, R., Brusey, J. & Gaura, E. 16 May 2018 In : Journal of Food Engineering. 237, p. 44-51 8 p.

Research output: Research - peer-reviewArticle

solar drying

Reinforcement Learning-based Thermal Comfort Control for Vehicle Cabins

Brusey, J., Hintea, D., Gaura, E. & Beloe, N. 10 May 2018 In : Mechatronics. 50, p. 413-421

Research output: Research - peer-reviewArticle

Thermal comfort
Reinforcement learning
Control systems
Electric vehicles

Activities 2007 2018

  • 6 Participation in workshop, seminar, course
  • 4 Participation in conference
  • 3 Editorial activity
  • 1 Examination

International Conference on Intelligent and Interactive Computing

Brusey, J. (Keynote Speaker)
11 Aug 201512 Aug 2015

Activity: Participation in conference

7th EVI-GTI International Gas Turbine Instrumentation Conference

Brusey, J. (Speaker)
3 Nov 20155 Nov 2015

Activity: Participation in conference


Brusey, J. (Keynote Speaker)
22 May 201424 May 2014

Activity: Participation in conference


Brusey, J. (Keynote Speaker)
8 Nov 20149 Nov 2014

Activity: Participation in conference