Chris Windmill


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

Research outputs

Managing Intellectual Property Issues with Digital Twins

Clementson, J., Wood, P. and Windmill, C. 2021. Managing Intellectual Property Issues with Digital Twins. INCOSEUK ASEC 2021. INCOSEUK.

Legal Considerations for Using Digital Twins in Additive Manufacture - A Review of the Literature

Clementson, J., Teng, J., Wood, P. and Windmill, C. 2021. Legal Considerations for Using Digital Twins in Additive Manufacture - A Review of the Literature. in: Shafik, M. and Case, K (ed.) Volume 15: Advances in Manufacturing Technology XXXIV Amsterdam IOS Press. pp. 91-96

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

Mart√≠nez-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-K√ľnstliche 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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