2025
Eyres, A., Ball, TS., Dales, M., Swinfield, T., Arnell, A., Baisero, D., Durán, AP., Green, JMH., Green, RE., Madhavapeddy, A. and Balmford, A., 2025. LIFE: A metric for mapping the impact of land-cover change on global extinctions. Philos Trans R Soc Lond B Biol Sci, v. 380
Doi: http://doi.org/10.1098/rstb.2023.0327
Rouse, RE., Khamis, D., Hosking, S., McRobie, A. and Shuckburgh, E., 2025. Streamflow prediction using artificial neural networks and soil moisture proxies Environmental Data Science, v. 4
Doi: http://doi.org/10.1017/eds.2024.48
Madhavapeddy, A., Scott, DJ., Ferris, P., Gibb, RT. and Gazagnaire, T., 2025. Functional Networking for Millions of Docker Desktops (Experience Report) Proceedings of the ACM on Programming Languages, v. 9
Doi: 10.1145/3747525
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)
2024
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
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
Chapman, S., Scott, ET., Swinfield, T., Daniels, R. and Madhavapeddy, A., 2024. A Legal Perspective on Supply-side Integrity Issues in the Forest Carbon Market Carbon and Climate Law Review, v. 18
Doi: http://doi.org/10.21552/cclr/2024/3/5
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
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
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 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
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
