Staff profile

I've joined Durham in March 2015. Prior to that, I was a Senior Research Associate at the Centre for Mathematical Sciences, University of Cambridge.

My web page can be found here.

Conference Paper

• Gardlo, M., Buzna, Ľ., Carvalho, R., Gibbens, R., & Kelly, F. (2018). Collective Effects and Performance of Algorithmic Electric Vehicle Charging Strategies. In 2018 IEEE Workshop on Complexity in Engineering (COMPENG), 10-12 October 2018, Florence (1-7). https://doi.org/10.1109/compeng.2018.8536246
• Buzna, L., Carvalho, R., Bono, F., Masera, M., & Arrowsmith, D. (2014). Congestion dependencies in the European gas pipeline network during crises. In M. Rosas-Casals, & A. Grau (Eds.), 2014 Workshop on Complexity in Engineering (COMPENG) : June 16-17, 2014, Faculty of Mathematics and Statistics, Barcelona, Spain (1-5). https://doi.org/10.1109/compeng.2014.6994681

Journal Article

• Egan, K., Li, W., & Carvalho, R. (2024). Automatically discovering ordinary differential equations from data with sparse regression. Communications Physics, 7(1), Article 20. https://doi.org/10.1038/s42005-023-01516-2
• Straka, M., Carvalho, R., Poel, G. V. D., & Buzna, L. (2021). Analysis of Energy Consumption at Slow Charging Infrastructure for Electric Vehicles. IEEE Access, 9, https://doi.org/10.1109/access.2021.3071180
• Buzna, Ľ., & Carvalho, R. (2017). Controlling congestion on complex networks: fairness, efficiency and network structure. Scientific Reports, 7(1), Article 9152. https://doi.org/10.1038/s41598-017-09524-3
• Carvalho, R., Buzna, L., Gibbens, R., & Kelly, F. (2015). Critical behaviour in charging of electric vehicles. New Journal of Physics, 17(9), Article 095001. https://doi.org/10.1088/1367-2630/17/9/095001
• Carvalho, R., Buzna, L., Bono, F., Masera, M., Arrowsmith, D. K., & Helbing, D. (2014). Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions. PLoS ONE, 9(3), Article e90265. https://doi.org/10.1371/journal.pone.0090265

Report

• Egan, K., Li, W., & Carvalho, R. (2023). Automatically identifying ordinary differential equations from data. Durham University

Working Paper

• infrastructure for electric vehicles from socio-economic data