Photo of Mike Mannion

Mike Mannion


  • 70 Cowcaddens Road, Glasgow Caledonian University

    G4 0BA Glasgow

    United Kingdom

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Fingerprint Dive into the research topics where Mike Mannion is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Visualization Engineering & Materials Science
Specifications Engineering & Materials Science
interactive media Social Sciences
engineering Social Sciences
Neural networks Engineering & Materials Science
Planning Engineering & Materials Science
Ventilation Engineering & Materials Science
Monitoring Engineering & Materials Science

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Research Output 1998 2019

  • 14 Conference contribution
  • 10 Article
  • 6 Paper
  • 1 Chapter (peer-reviewed)

An exploratory investigation into the consumer use of WeChat to engage with luxury fashion brands.

Siddiqui, N., Mannion, M. & Marciniak, R., 2019, Social Commerce: Consumer Behaviour in Online Environments. Boardman, R., Blazquez, M., Henninger, C. E. & Ryding, D. (eds.). 1st ed. Switzerland: Palgrave Macmillan, p. 213-234 22 p.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Social media
Shopping experience
9 Downloads (Pure)

An intelligent real-time occupancy monitoring system with enhanced encryption and privacy

Ahmad, J., Larijani, H., |Emmanuel, R., Mannion, M., Javed, A. & Ahmadinia, A., 8 Oct 2018, 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, p. 524-529 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Intelligent buildings
Kalman filters
8 Downloads (Pure)

Occupancy detection in non-residential buildings – a survey and novel privacy preserved occupancy monitoring solution

Ahmad, J., Larijani, H., Emmanuel, R., Mannion, M. & Javed, A., 7 Dec 2018, In : Applied Computing and Informatics.

Research output: Contribution to journalArticle

Open Access
Energy utilization
Gas emissions
Air quality
Greenhouse gases
250 Downloads (Pure)
Open Access
Sensor nodes
Air conditioning
Neural networks
16 Downloads (Pure)

Energy demand prediction through novel random neural network predictor for large non-domestic buildings

Ahmad, J., Larijani, H., Emmanuel, R., Mannion, M., Javed, A. & Phillipson, M., 29 May 2017, 2017 Annual IEEE International Systems Conference (SysCon). Montreal, QC, Canada: IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Neural networks
Virtual reality
Mean square error
Atmospheric humidity