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Department of Computer Science and Technology

 

2024

  • Berkes, A. and Keshav, S., 2024. SPAGHETTI: a synthetic data generator for post-Covid electric vehicle usage Energy Informatics, v. 7
    Doi: http://doi.org/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: http://doi.org/10.1145/3632775.3661941
  • Lisaius, MC., Blake, A., Keshav, S. and Atzberger, C., 2024. Using Barlow Twins to Create Representations From Cloud-Corrupted Remote Sensing Time Series IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 17
    Doi: 10.1109/JSTARS.2024.3426044
  • Feng, Z., Xie, M., Holcomb, A. and Keshav, S., 2024. An app for tree trunk diameter estimation from coarse optical depth maps Ecological Informatics, v. 82
    Doi: http://doi.org/10.1016/j.ecoinf.2024.102774
  • 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), v. 5
    Doi: 10.1109/icbc59979.2024.10634343
  • Swinfield, T., Shrikanth, S., Bull, JW., Madhavapeddy, A. and zu Ermgassen, SOSE., 2024. Nature-based credit markets at a crossroads Nature Sustainability,
    Doi: http://doi.org/10.1038/s41893-024-01403-w
  • 2023

  • Holcomb, A., Mathis, SV., Coomes, DA. and Keshav, S., 2023. Computational tools for assessing forest recovery with GEDI shots and forest change maps Science of Remote Sensing, v. 8
    Doi: 10.1016/j.srs.2023.100106
  • Balmford, A., Brancalion, PHS., Coomes, D., Filewod, B., Groom, B., Guizar-Coutiño, A., Jones, JPG., Keshav, S., Kontoleon, A., Madhavapeddy, A., Malhi, Y., Sills, EO., Strassburg, BBN., Venmans, F., West, TAP., Wheeler, C. and Swinfield, T., 2023. Credit credibility threatens forests. Science, v. 380
    Doi: 10.1126/science.adh3426
  • Meijers, AJS., Meredith, MP., Shuckburgh, EF., Kent, EC., Munday, DR., Firing, YL., King, B., Smyth, TJ., Leng, MJ., George Nurser, AJ., Hewitt, HT., Povl Abrahamsen, E., Weiss, A., Yang, M., Bell, TG., Alexander Brearley, J., Boland, EJD., Jones, DC., Josey, SA., Owen, RP., Grist, JP., Blaker, AT., Biri, S., Yelland, MJ., Pimm, C., Zhou, S., Harle, J. and Cornes, RC., 2023. Finale: impact of the ORCHESTRA/ENCORE programmes on Southern Ocean heat and carbon understanding. Philos Trans A Math Phys Eng Sci, v. 381
    Doi: 10.1098/rsta.2022.0070
  • Tarkhani, Z. and Madhavapeddy, A., 2023. Information Flow Tracking for Heterogeneous Compartmentalized Software ACM International Conference Proceeding Series,
    Doi: http://doi.org/10.1145/3607199.3607235
  • Gibb, R., Madhavapeddy, A. and Crowcroft, J., 2023. Where on Earth is the Spatial Name System? HotNets 2023 - Proceedings of the 22nd ACM Workshop on Hot Topics in Networks,
    Doi: 10.1145/3626111.3628210
  • Bhundar, HS., Golab, L. and Keshav, S., 2023. Using EV charging control to provide building load flexibility. Energy Inform, v. 6
    Doi: http://doi.org/10.1186/s42162-023-00261-8
  • Bhundar, HS., Golab, L. and Keshav, S., 2023. Correction: Using EV charging control to provide building load flexibility (Energy Informatics, (2023), 6, 1, (5), 10.1186/s42162-023-00261-8) Energy Informatics, v. 6
    Doi: http://doi.org/10.1186/s42162-023-00265-4
  • Balmford, A., Brancalion, PHS., Coomes, D., Filewod, B., Groom, B., Guizar-Coutiño, A., Jones, JPG., Keshav, S., Kontoleon, A., Madhavapeddy, A., Malhi, Y., Sills, EO., Strassburg, BBN., Venmans, F., West, TAP., Wheeler, C. and Swinfield, T., 2023. Credit credibility threatens forests. Science, v. 380
    Doi: 10.1126/science.adh3426
  • Ghasemitaheri, S., Holcomb, A., Golab, L. and Keshav, S., 2023. On the Data Quality of Remotely Sensed Forest Maps CEUR Workshop Proceedings, v. 3462
  • 2022

  • Simpson, C., Hosking, J., Mitchell, D., Betts, R. and Shuckburgh, E., 2022. Regional disparities and seasonal differences in climate risk to rice labour
    Doi: 10.31223/x5sw3n
  • Kazhamiaka, F., Ghiassi-Farrokhfal, Y., Keshav, S. and Rosenberg, C., 2022. Comparison of Different Approaches for Solar PV and Storage Sizing IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, v. 7
    Doi: 10.1109/TSUSC.2019.2946246
  • Furner, R., Haynes, P., Munday, D., Paige, B., Jones, DC. and Shuckburgh, E., 2022. A sensitivity analysis of a regression model of ocean temperature Environmental Data Science, v. 1
    Doi: 10.1017/eds.2022.10
  • Aussat, Y., Rosmanis, A. and Keshav, S., 2022. A power-efficient self-calibrating smart lighting system Energy and Buildings, v. 259
    Doi: http://doi.org/10.1016/j.enbuild.2022.111874