Chris Windmill


NameChris Windmill
Job titleAssistant Head of Discipline/Senior Lecturer in Computing
Research instituteCollege of Science and Engineering
ORCIDhttps://orcid.org/0000-0002-2791-6938

Research outputs

Examining the feasibility and acceptability of identifying signs of social anxiety, in university students aged 18–25, while watching 360° immersive films

Jackson, J. E., Cox, A., Windmill, C. and Safari, R. 2025. Examining the feasibility and acceptability of identifying signs of social anxiety, in university students aged 18–25, while watching 360° immersive films. International Journal of Mental Health Nursing. 34 (1), pp. 1-10. https://doi.org/10.1111/inm.13499

Note Taking in VR: The Forearm Keyboard

Davis, B., Hughes-Roberts, T. and Windmill, C. 2023. Note Taking in VR: The Forearm Keyboard. 8th International Conference on Education (EDU 2023).

High Performance Time Series Quantitative Retrieval from Satellite Images on a GPU Cluster

Liu, J., Xue, Y., Ren, K., Song, J., Windmill, C. and Merritt, P. 2019. High Performance Time Series Quantitative Retrieval from Satellite Images on a GPU Cluster. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12 (8). https://doi.org/10.1109/JSTARS.2019.2920077

A Heterogeneous and Interactive Big Earth Data Framework

Bi, H., Xue, Y., Merritt, P., Windmill, C. and Davis, B. 2019. A Heterogeneous and Interactive Big Earth Data Framework. 2019 International Conference on Big Data Engineering. IEEE. https://doi.org/10.1145/3341620.3341628

Aggregation Loss Bandwidth in the Last Mile Residential Internet

Windmill, C. 2014. Aggregation Loss Bandwidth in the Last Mile Residential Internet. 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation. IEEE. https://doi.org/10.1109/UKSim.2014.86

Characterisation of Large Changes in Wind Power for the Day-Ahead Market Using a Fuzzy Logic Approach

Martínez-Arellano, G., Nolle, L., Cant, R., Lotfi, A. and Windmill, C. 2014. Characterisation of Large Changes in Wind Power for the Day-Ahead Market Using a Fuzzy Logic Approach. KI-Künstliche Intelligenz. 28 (4), pp. 239-253. https://doi.org/10.1007/s13218-014-0322-3

A Hierarchical Geographically Based Routing Model for Improved Localised Routing

Windmill, C. 2014. A Hierarchical Geographically Based Routing Model for Improved Localised Routing. SIMS '14: Proceedings of the 2014 First International Conference on Systems Informatics, Modelling and Simulation. IEEE Computer Society. https://doi.org/10.5555/2681970.2682436
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