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Department of Computer Science and Technology

 

2025 (No publication date)

  • Rau, E-P., Swinfield, T., Williams, A., Keshav, S. and Coomes, D., 2025 (No publication date). Research data supporting “Forecasting carbon credits of prospective REDD+ projects using regional carbon loss patterns”
    Doi: http://doi.org/10.17863/CAM.116193
  • 2025

  • Domiter, A. and Keshav, S., 2025. Fine-Grained Mapping of Urban Energy Demand During Heatwaves Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems,
    Doi: 10.1145/3679240.3734688
  • Mede, NG., Cologna, V., Berger, S., Besley, J., Brick, C., Joubert, M., Maibach, EW., Mihelj, S., Oreskes, N., Schäfer, MS., van der Linden, S., Abdul Aziz, NI., Abdulsalam, S., Shamsi, NA., Aczel, B., Adinugroho, I., Alabrese, E., Aldoh, A., Alfano, M., Ali, IM., Alsobay, M., Altenmüller, M., Alvarez, RM., Amoako, R., Amollo, T., Ansah, P., Apriliawati, D., Azevedo, F., Bajrami, A., Bardhan, R., Bati, K., Bertsou, E., Betsch, C., Bhatiya, AY., Bhui, R., Białobrzeska, O., Bilewicz, M., Bouguettaya, A., Breeden, K., Bret, A., Buchel, O., Cabrera-Álvarez, P., Cagnoli, F., Valdez, AC., Callaghan, T., Cases, RK., Çoksan, S., Czarnek, G., De Peuter, S., Debnath, R., Delouvée, S., Di Stefano, L., Díaz-Catalán, C., Doell, KC., Dohle, S., Douglas, KM., Dries, C., Dubrov, D., Dzimińska, M., Ecker, UKH., Elbaek, CT., Elsherif, M., Enke, B., Etienne, TW., Facciani, M., Fage-Butler, A., Faisal, MZ., Fan, X., Farhart, C., Feldhaus, C., Ferreira, M., Feuerriegel, S., Fischer, H., Freundt, J., Friese, M., Fuglsang, S., Gallyamova, A., Garrido-Vásquez, P., Garrido Vásquez, ME., Gatua, W., Genschow, O., Ghasemi, O., Gkinopoulos, T., Gloor, JL., Goddard, E., Gollwitzer, M., González-Brambila, C., Gordon, H., Grigoryev, D., Grimshaw, GM., Guenther, L., Haarstad, H., Harari, D., Hawkins, LN., Hensel, P., Hernández-Mondragón, AC., Herziger, A., Huang, G., Huff, M., Hurley, M., Ibadildin, N., Ishibashi, M., Islam, MT., Jeddi, Y., Jin, T., Jones, CA., Jungkunz, S., Jurgiel, D., Kabdulkair, Z., Kao, J-J., Kavassalis, S., Kerr, JR., Kitsa, M., Klabíková Rábová, T., Klein, O., Koh, H., Koivula, A., Kojan, L., Komyaginskaya, E., König, L., Koppel, L., Cavalcante, KKN., Kosachenko, A., Kotcher, J., Kranz, LS., Krishnan, P., Kristiansen, S., Krouwel, A., Kuppens, T., Kyza, EA., Lamm, C., Lantian, A., Lazić, A., Lecuona, O., Légal, J-B., Leviston, Z., Levy, N., Lindkvist, AM., Lits, G., Löschel, A., López-Ortega, A., Lopez-Villavicencio, C., Lou, NM., Lucas, CH., Lunz-Trujillo, K., Marques, MD., Mayer, SJ., McKay, R., Mercier, H., Metag, J., Milfont, TL., Miller, JM., Mitkidis, P., Monge-Rodríguez, F., Motta, M., Mudra, I., Muršič, Z., Namutebi, J., Newman, EJ., Nitschke, JP., Ntui, N-NV., Nwogwugwu, D., Ostermann, T., Otterbring, T., Palmer-Hague, J., Pantazi, M., Pärnamets, P., Parra Saiani, P., Paruzel-Czachura, M., Parzuchowski, M., Pavlov, YG., Pearson, AR., Penner, MA., Pennington, CR., Petkanopoulou, K., Petrović, MM., Pfänder, J., Pisareva, D., Ploszaj, A., Poliaková, K., Pronizius, E., Pypno-Blajda, K., Quiñones, DMA., Räsänen, P., Rauchfleisch, A., Rebitschek, FG., Refojo Seronero, C., Rêgo, G., Reynolds, JP., Roche, J., Rödder, S., Röer, JP., Ross, RM., Ruin, I., Santos, O., Santos, RR., Schmid, P., Schulreich, S., Scoggins, B., Sharaf, A., Sheria Nfundiko, J., Shuckburgh, E., Six, J., Solak, N., Späth, L., Spruyt, B., Standaert, O., Stanley, SK., Storms, G., Strahm, N., Syropoulos, S., Szaszi, B., Szumowska, E., Tanaka, M., Teran-Escobar, C., Todorova, B., Toko, AK., Tokrri, R., Toribio-Florez, D., Tsakiris, M., Tyrala, M., Uluğ, ÖM., Uzoma, IC., van Noord, J., Varda, C., Verheyen, S., Vilares, I., Vlasceanu, M., von Bubnoff, A., Walker, I., Warwas, I., Weber, M., Weninger, T., Westfal, M., Wintterlin, F., Wojcik, AD., Xia, Z., Xie, J., Zegler-Poleska, E., Zenklusen, A. and Zwaan, RA., 2025. Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset. Sci Data, v. 12
    Doi: 10.1038/s41597-024-04100-7
  • Cologna, V., Mede, NG., Berger, S., Besley, J., Brick, C., Joubert, M., Maibach, EW., Mihelj, S., Oreskes, N., Schäfer, MS., van der Linden, S., Abdul Aziz, NI., Abdulsalam, S., Shamsi, NA., Aczel, B., Adinugroho, I., Alabrese, E., Aldoh, A., Alfano, M., Ali, IM., Alsobay, M., Altenmüller, M., Alvarez, RM., Amoako, R., Amollo, T., Ansah, P., Apriliawati, D., Azevedo, F., Bajrami, A., Bardhan, R., Bati, K., Bertsou, E., Betsch, C., Bhatiya, AY., Bhui, R., Białobrzeska, O., Bilewicz, M., Bouguettaya, A., Breeden, K., Bret, A., Buchel, O., Cabrera-Álvarez, P., Cagnoli, F., Calero Valdez, A., Callaghan, T., Cases, RK., Çoksan, S., Czarnek, G., De Peuter, S., Debnath, R., Delouvée, S., Di Stefano, L., Díaz-Catalán, C., Doell, KC., Dohle, S., Douglas, KM., Dries, C., Dubrov, D., Dzimińska, M., Ecker, UKH., Elbaek, CT., Elsherif, M., Enke, B., Etienne, TW., Facciani, M., Fage-Butler, A., Faisal, MZ., Fan, X., Farhart, C., Feldhaus, C., Ferreira, M., Feuerriegel, S., Fischer, H., Freundt, J., Friese, M., Fuglsang, S., Gallyamova, A., Garrido-Vásquez, P., Garrido Vásquez, ME., Gatua, W., Genschow, O., Ghasemi, O., Gkinopoulos, T., Gloor, JL., Goddard, E., Gollwitzer, M., González-Brambila, C., Gordon, H., Grigoryev, D., Grimshaw, GM., Guenther, L., Haarstad, H., Harari, D., Hawkins, LN., Hensel, P., Hernández-Mondragón, AC., Herziger, A., Huang, G., Huff, M., Hurley, M., Ibadildin, N., Ishibashi, M., Islam, MT., Jeddi, Y., Jin, T., Jones, CA., Jungkunz, S., Jurgiel, D., Kabdulkair, Z., Kao, J-J., Kavassalis, S., Kerr, JR., Kitsa, M., Klabíková Rábová, T., Klein, O., Koh, H., Koivula, A., Kojan, L., Komyaginskaya, E., König, L., Koppel, L., Koren Nobre Cavalcante, K., Kosachenko, A., Kotcher, J., Kranz, LS., Krishnan, P., Kristiansen, S., Krouwel, A., Kuppens, T., Kyza, EA., Lamm, C., Lantian, A., Lazić, A., Lecuona, O., Légal, J-B., Leviston, Z., Levy, N., Lindkvist, AM., Lits, G., Löschel, A., López Ortega, A., Lopez-Villavicencio, C., Lou, NM., Lucas, CH., Lunz-Trujillo, K., Marques, MD., Mayer, SJ., McKay, R., Mercier, H., Metag, J., Milfont, TL., Miller, JM., Mitkidis, P., Monge-Rodríguez, F., Motta, M., Mudra, I., Muršič, Z., Namutebi, J., Newman, EJ., Nitschke, JP., Ntui, N-NV., Nwogwugwu, D., Ostermann, T., Otterbring, T., Palmer-Hague, J., Pantazi, M., Pärnamets, P., Parra Saiani, P., Paruzel-Czachura, M., Parzuchowski, M., Pavlov, YG., Pearson, AR., Penner, MA., Pennington, CR., Petkanopoulou, K., Petrović, MB., Pfänder, J., Pisareva, D., Ploszaj, A., Poliaková, K., Pronizius, E., Pypno-Blajda, K., Quiñones, DMA., Räsänen, P., Rauchfleisch, A., Rebitschek, FG., Refojo Seronero, C., Rêgo, G., Reynolds, JP., Roche, J., Rödder, S., Röer, JP., Ross, RM., Ruin, I., Santos, O., Santos, RR., Schmid, P., Schulreich, S., Scoggins, B., Sharaf, A., Sheria Nfundiko, J., Shuckburgh, E., Six, J., Solak, N., Späth, L., Spruyt, B., Standaert, O., Stanley, SK., Storms, G., Strahm, N., Syropoulos, S., Szaszi, B., Szumowska, E., Tanaka, M., Teran-Escobar, C., Todorova, B., Toko, AK., Tokrri, R., Toribio-Florez, D., Tsakiris, M., Tyrala, M., Uluğ, ÖM., Uzoma, IC., van Noord, J., Varda, C., Verheyen, S., Vilares, I., Vlasceanu, M., von Bubnoff, A., Walker, I., Warwas, I., Weber, M., Weninger, T., Westfal, M., Wintterlin, F., Wojcik, AD., Xia, Z., Xie, J., Zegler-Poleska, E., Zenklusen, A. and Zwaan, RA., 2025. Trust in scientists and their role in society across 68 countries. Nat Hum Behav,
    Doi: 10.1038/s41562-024-02090-5
  • Virdee, M., Kazlauskaite, I., Boland, EJD., Shuckburgh, E. and Ming, A., 2025. Spatial and temporal dependence in distribution-based evaluation of CMIP6 daily maximum temperatures Atmospheric Science Letters, v. 26
    Doi: http://doi.org/10.1002/asl.1290
  • 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
  • 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.2024.11.013
  • Zuñiga-Gonzalez, A., Madhavapeddy, A. and Bardhan, R., 2025. Green Urban Equity: Analyzing the 3-30-300 Rule in UK Cities and Its Socioeconomic Implications
    Doi: 10.5194/egusphere-egu24-20833
  • 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 Philosophical Transactions of the Royal Society B: Biological Sciences, v. 380
    Doi: http://doi.org/10.1098/rstb.2023.0327
  • 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
  • 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.2024.11.013
  • 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
  • Madhavapeddy, A., Scott, D., Ferris, P., Gibb, R. and Gazagnaire, T., 2025. Functional Networking for Millions of Docker Desktops (Experience Report)}
    Doi: http://doi.org/10.1145/3747525
  • Millar, J., Haddadi, H. and Madhavapeddy, A., 2025. Energy-Aware Deep Learning on Resource-Constrained Hardware. CoRR, v. abs/2505.12523
  • Iyer, R., Christie, AP., Madhavapeddy, A., Reynolds, S., Sutherland, W. and Jaffer, S., 2025. Careful design of Large Language Model pipelines enables expert-level retrieval of evidence-based information from syntheses and databases Plos One, v. 20
    Doi: http://doi.org/10.1371/journal.pone.0323563
  • Reynolds, SA., Beery, S., Burgess, N., Burgman, M., Butchart, SHM., Cooke, SJ., Coomes, D., Danielsen, F., Di Minin, E., Durán, AP., Hinsley, A., Jaffer, S., Jones, JPG., Li, BV., Madhavapeddy, A., Peck, L., Pettorelli, N., Rodríguez, JP. and Sutherland, WJ., 2025. Conservation changed but not divided Trends in Ecology and Evolution, v. 40
    Doi: http://doi.org/10.1016/j.tree.2025.04.002
  • Millar, J., Huang, Y., Sethi, S., Haddadi, H. and Madhavapeddy, A., 2025. Benchmarking Ultra-Low-Power μNPUs. CoRR, v. abs/2503.22567
  • Nivron, O., Wischik, DJ., Vrac, M., Shuckburgh, E. and Archibald, AT., 2025. A temporal stochastic bias correction using a machine learning attention model Environmental Data Science, v. 3
    Doi: 10.1017/eds.2024.42
  • 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
  • Feng, Z., She, Y. and Keshav, S., 2025. SPREAD: A large-scale, high-fidelity synthetic dataset for multiple forest vision tasks Ecological Informatics, v. 87
    Doi: http://doi.org/10.1016/j.ecoinf.2025.103085