Chris Windmill
| Name | Chris Windmill |
|---|---|
| Job title | Assistant Head of Discipline/Senior Lecturer in Computing |
| Research institute | College of Science and Engineering |
| ORCID | https://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.13499Note 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.2019.2920077A 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/10.1145/3341620.3341628Aggregation 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.2014.86Characterisation 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/s13218-014-0322-3A 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/10.5555/2681970.2682436446
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