Staff profile
Overview
https://apps.dur.ac.uk/biography/image/1030
Affiliation | Telephone |
---|---|
Assistant Professor in the Department of Engineering | +44 (0) 191 33 42382 |
Biography
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.
Esteem Indicators
- 2018: Recognition for your contribution to EPSRC Peer Review (top 7% of College members): Recognition that I have achieved a ranking in the top 7% of College members for participating in peer review activities during the academic year (2016/17).
Publications
Conference Paper
- Collective Effects and Performance of Algorithmic Electric Vehicle Charging StrategiesGardlo, M., Buzna, Ľuboš, 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. (pp. 1-7). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/compeng.2018.8536246
- Congestion dependencies in the European gas pipeline network during crisesBuzna, 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. (pp. 1-5). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/compeng.2014.6994681
Journal Article
- Automating the discovery of partial differential equations in dynamical systemsLi, W., & Carvalho, R. (2024). Automating the discovery of partial differential equations in dynamical systems. Machine Learning: Science and Technology, 5(3), Article 035046. https://doi.org/10.1088/2632-2153/ad682f
- Automatically discovering ordinary differential equations from data with sparse regressionEgan, 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
- Analysis of Energy Consumption at Slow Charging Infrastructure for Electric VehiclesStraka, 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
- Controlling congestion on complex networks: fairness, efficiency and network structureBuzna, Ľuboš, & 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
- Critical behaviour in charging of electric vehiclesCarvalho, 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
- Resilience of Natural Gas Networks during Conflicts, Crises and DisruptionsCarvalho, 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
- Automatically identifying ordinary differential equations from dataEgan, K., Li, W., & Carvalho, R. (2023). Automatically identifying ordinary differential equations from data. Durham University. https://doi.org/10.48550/arXiv.2304.11182
Working Paper
- Explaining the distribution of energy consumption at slow charging
infrastructure for electric vehicles from socio-economic dataStrakaa, M., Carvalho, R., van der Poel, G., & Buzna, Ľubos. (2020). Explaining the distribution of energy consumption at slow charginginfrastructure for electric vehicles from socio-economic data.
Supervision students
Jiayi Niu
Research Postgraduate – Bioengineering Node
Yuzheng Zhang
Research Postgraduate – Bioengineering Node