2021
Mitra, A., Gorenflo, C., Golab, L. and Keshav, S., 2021. TimeFabric: Trusted time for permissioned blockchains OpenAccess Series in Informatics, v. 92
Doi: 10.4230/OASIcs.FAB.2021.4
Summers, T., Mackie, E., Ueno, R., Simpson, C., Hosking, S., Suciu, T., Coburn, A. and Shuckburgh, E., 2021. Localised economic impacts from high temperature disruption days under climate change
Doi: 10.31223/x5502q
Simpson, C., Hosking, JS., Mitchell, D., Betts, RA. and Shuckburgh, E., 2021. Regional disparities and seasonal differences in climate risk to rice labour. Environ Res Lett, v. 16
Doi: 10.1088/1748-9326/ac3288
Huang, BG., Kazhamiaka, F. and Keshav, S., 2021. Sizing Solar Panels and Storage for Multiple Roofs e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems,
Doi: 10.1145/3447555.3464858
Ben, H., Mackie, E., Parry, I., Shuckburgh, E., Hawker, G. and Jenkins, MG., 2021. Targeting building energy efficiency using thermal infrared earth observation telescopes Journal of Physics: Conference Series, v. 2042
Doi: 10.1088/1742-6596/2042/1/012001
Holcomb, A., Tong, B., Penny, M. and Keshav, S., 2021. Poster: Measuring Forest Carbon with Mobile Phones MobiSys 2021 - Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services,
Doi: 10.1145/3458864.3466916
Andersson, TR., Hosking, JS., Pérez-Ortiz, M., Paige, B., Elliott, A., Russell, C., Law, S., Jones, DC., Wilkinson, J., Phillips, T., Byrne, J., Tietsche, S., Sarojini, BB., Blanchard-Wrigglesworth, E., Aksenov, Y., Downie, R. and Shuckburgh, E., 2021. Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nat Commun, v. 12
Doi: 10.1038/s41467-021-25257-4
2020 (No publication date)
McKenna, C., 2020 (No publication date). The influence of Arctic sea-ice loss on mid-latitude weather and climate: exploring sensitivities and mechanisms
Doi: 10.17863/CAM.54225
2020 (Accepted for publication)
Jones, DC., Boland, E., Meijers, AJS., Forget, G., Josey, S., Sallee, J-B. and Shuckburgh, E., 2020 (Accepted for publication). The sensitivity of Southeast Pacific heat distribution to local and remote changes in ocean properties Journal of Physical Oceanography,
Doi: 10.1175/jpo-d-19-0155.1
2020
Kalaimani, R., Jain, M., Keshav, S. and Rosenberg, C., 2020. On the interaction between personal comfort systems and centralized HVAC systems in office buildings Advances in Building Energy Research, v. 14
Doi: 10.1080/17512549.2018.1505654
Tarkhani, Z. and Madhavapeddy, A., 2020. $μ$Tiles: Efficient Intra-Process Privilege Enforcement of Memory
Regions
Sivaramakrishnan, KC., Dolan, S., White, L., Jaffer, S., Kelly, T., Sahoo, A., Parimala, S., Dhiman, A. and Madhavapeddy, A., 2020. Retrofitting parallelism onto OCaml. Proceedings of the ACM on Programming Languages, v. 4
Doi: 10.1145/3408995
Furner, R., Haynes, P., Jones, D., Munday, D., Paige, B. and Shuckburgh, E., 2020. Developing a data-driven ocean model
Doi: http://doi.org/10.5194/egusphere-egu2020-19339
Madhavapeddy, A., Mortier, R., Sohan, R., Gazagnaire, T., Hand, S., Deegan, T., McAuley, D. and Crowcroft, J., 2020. Turning down the lamp: Software specialisation for the cloud 2nd USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2010,
Madhavapeddy, A., Mortier, R., Sohan, R., Gazagnaire, T., Hand, S., Deegan, T., McAuley, D. and Crowcroft, J., 2020. Turning down the lamp: Software specialisation for the cloud 2nd USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2010,
Chang, L., Wang, J., Abari, O. and Keshav, S., 2020. ID-clicker: A battery-free in-class response system using RFID tags Proceedings - 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020,
Doi: 10.1109/IoTDI49375.2020.00031
Sivaramakrishnan, KC., Dolan, S., White, L., Jaffer, S., Kelly, T., Sahoo, A., Parimala, S., Dhiman, A. and Madhavapeddy, A., 2020. Retrofitting parallelism onto OCaml Proceedings of the ACM on Programming Languages, v. 4
Doi: 10.1145/3408995
Andersson, T., Agocs, F., Hosking, S., Pérez-Ortiz, M., Paige, B., Russell, C., Elliott, A., Law, S., Wilkinson, J., Askenov, Y., Schroeder, D., Tebbutt, W., Faul, A. and Shuckburgh, E., 2020. Deep learning for monthly Arctic sea ice concentration prediction
Doi: http://doi.org/10.5194/egusphere-egu2020-15481
Wang, J., Chang, L., Aggarwal, S., Abari, O. and Keshav, S., 2020. Soil moisture sensing with commodity RFID systems MobiSys 2020 - Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services,
Doi: 10.1145/3386901.3388940
Dubey, SS., Sivaramakrishnan, KC., Gazagnaire, T. and Madhavapeddy, A., 2020. Banyan: Coordination-Free Distributed Transactions over Mergeable Types Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12470 LNCS
Doi: 10.1007/978-3-030-64437-6_12
