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Department of Computer Science and Technology

Publications

2025

  • Reynolds, S., Beery, S., Burgess, ND., Burgman, M., Butchart, S., Cooke, S., Coomes, D., Danielsen, F., Di Minin, E., Paz Durán, A., Gassert, F., Hinsley, A., Jaffer, S., Jones, JPG., Li, BV., Mac Aodha, O., Madhavapeddy, A., O'Donnel, SAL., Oxbury, WM., Peck, L., Pettorelli, N., Rodriguez, JP., Shuckburgh, E., Strassburg, B., Yamashita, H., Zhongqi, M. and Sutherland, WJ., 2025. The potential for AI to revolutionise conservation: a horizon scan Trends in Ecology and Evolution,
    Doi: 10.1016/j.tree.2024年11月01日3
  • Furner, R., Haynes, P., Jones, DC., Munday, D., Paige, B. and Shuckburgh, E., 2025. The challenge of land in a neural network ocean model Environmental Data Science, v. 3
    Doi: 10.1017/eds.2024.49
  • Capol, L., Keshav, S. and Nagy, Z., 2025. Activity hours: Assessing liveability during heatwaves Building and Environment, v. 269
    Doi: http://doi.org/10.1016/j.buildenv.2024.112339

    • 2024 (Published online)

  • Collins, M., Beverley, JD., Bracegirdle, TJ., Catto, J., McCrystall, M., Dittus, A., Freychet, N., Grist, J., Hegerl, GC., Holland, PR., Holmes, C., Josey, SA., Joshi, M., Hawkins, E., Lo, E., Lord, N., Mitchell, D., Monerie, P-A., Priestley, MDK., Scaife, A., Screen, J., Senior, N., Sexton, D., Shuckburgh, E., Siegert, S., Simpson, C., Stephenson, DB., Sutton, R., Thompson, V., Wilcox, LJ. and Woollings, T., 2024 (Published online). Emerging signals of climate change from the equator to the poles: new insights into a warming world Frontiers in Science, v. 2
    Doi: 10.3389/fsci.2024.1340323

    • 2024 (No publication date)

  • Furner, R., 2024 (No publication date). Data-driven Ocean Modelling
    Doi: http://doi.org/10.17863/CAM.114375

    • 2024

  • Nath, P., Moss, H., Shuckburgh, E. and Webb, M., 2024. RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models. CoRR, v. abs/2408.16118
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  • Wilkins, G., Keshav, S. and Mortier, R., 2024. Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems ACM SIGEnergy Energy Informatics Review, v. 4
    Doi: 10.1145/3727200.3727217
  • Nivron, O., Wischik, DJ., Vrac, M. and Shuckburgh, E., 2024. A Temporal Bias Correction using a Machine Learning Attention model. CoRR, v. abs/2402.14169
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  • Rau, E-P., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release Carbon Management, v. 15
    Doi: 10.1080/17583004.2024.2390854
  • Rau, E-P., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Research data supporting "Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release"
    Doi: 10.17863/CAM.110933
  • Jaffer, S., Dales, MW., Ferris, P., Sorensen, D., Swinfield, T., Message, R., Keshav, S. and Madhavapeddy, A., 2024. Global, robust and comparable digital carbon assets 2024 IEEE International Conference on Blockchain and Cryptocurrency Icbc 2024,
    Doi: 10.1109/ICBC59979.2024.10634343
  • Jaffer, S., Dales, MW., Ferris, P., Sorensen, D., Swinfield, T., Message, R., Keshav, S. and Madhavapeddy, A., 2024. Global, robust and comparable digital carbon assets. ICBC,
    •
  • Swinfield, T., Shrikanth, S., Bull, JW., Madhavapeddy, A. and zu Ermgassen, SOSE., 2024. Nature-based credit markets at a crossroads Nature Sustainability, v. 7
    Doi: 10.1038/s41893-024-01403-w
  • Millar, J., Sethi, S., Haddadi, H. and Madhavapeddy, A., 2024. Poster: Towards Low-Power Comprehensive Biodiversity Monitoring Sensys 2024 Proceedings of the 2024 ACM Conference on Embedded Networked Sensor Systems,
    Doi: 10.1145/3666025.3699400
  • Jaffer, S., Dales, MW., Ferris, P., Sorensen, D., Swinfield, T., Message, R., Keshav, S. and Madhavapeddy, A., 2024. Global, robust and comparable digital carbon assets 2024 IEEE International Conference on Blockchain and Cryptocurrency Icbc 2024,
    Doi: 10.1109/ICBC59979.2024.10634343
  • Berkes, A. and Keshav, S., 2024. SPAGHETTI: a synthetic data generator for post-Covid electric vehicle usage Energy Informatics, v. 7
    Doi: 10.1186/s42162-024-00314-6
  • Holcomb, A., Burns, P., Keshav, S. and Coomes, DA., 2024. Repeat GEDI footprints measure the effects of tropical forest disturbances Remote Sensing of Environment, v. 308
    Doi: 10.1016/j.rse.2024.114174
  • Berkes, A. and Keshav, S., 2024. SOPEVS: Sizing and Operation of PV-EV-Integrated Modern Homes The 15th ACM International Conference on Future and Sustainable Energy Systems,
    Doi: 10.1145/3632775.3661941
  • Vijayakumar, S., Madhavapeddy, A. and Kalyvianaki, E., 2024. Scheduling for Reduced Tail Task Latencies in Highly Utilized Datacenters Socc 2024 Proceedings of the 2024 ACM Symposium on Cloud Computing,
    Doi: 10.1145/3698038.3698522
  • Wilkins, G., Keshav, S. and Mortier, R., 2024. Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads The 15th ACM International Conference on Future and Sustainable Energy Systems,
    Doi: 10.1145/3632775.3662830
    • Displaying 21 - 40 of 390

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