Rui Carvalho

Research Focus

My current research aims to advance AI for Science (AI4Science), focusing on applying machine learning approaches to system identification challenges. I develop innovative computational methods that extract mathematical models from experimental data across scientific disciplines. This work bridges traditional scientific modelling with cutting-edge AI techniques, creating tools that help scientists build more accurate and interpretable models from complex datasets, ultimately positioning AI as a collaborative partner in scientific discovery rather than merely a computational resource.

I was a Senior Research Associate at the Statistical Laboratory, University of Cambridge. Prior to that, I was a Research Fellow, and a Researcher Co-Investigator at the School of Mathematical Sciences, Queen Mary University of London.

I am an EPSRC Researcher in Residence at the The National Biologics Manufacturing Centre and a member of the EPSRC Peer Review College.

Teaching

I am the academic lead in Engineering for the Scientific Computing and Data Analysis (Artificial Intelligence for Engineering) MSc program. This innovative MSc combines advanced artificial intelligence techniques with engineering applications, preparing graduates to develop and implement AI-driven solutions for complex engineering challenges in industry and research.

The program offers a structured curriculum with core modules in machine learning, high-performance computing, and professional skills, complemented by engineering specialisation modules in deep learning and optimisation methods. Students complete their studies with a substantive research project in AI for engineering applications.

PhD Students

Alumni

Selected Publications

18. Automating the Discovery of Partial Differential Equations in Dynamical Systems
Weizhen Li, Rui Carvalho
Mach. Learn.: Sci. Technol. 5 035046 (2024) cs.LG/2404.16444 ARGOS-RAL
17. Automatically identifying ordinary differential equations from data
Kevin Egan, Weizhen Li, Rui Carvalho
Commun Phys 7, 20 (2024) cs.LG/2304.11182 ARGOS
Ranked fourth in the Top 25 downloaded papers of 2024 in Communications Physics.
16. Analysis of energy consumption at slow charging infrastructure for electric vehicles
Milan Straka, Rui Carvalho, Gijs van der Poel and Lubos Buzna
IEEE Access 9, 53885-53901 (2021) stat.AP/2006.01672
15. Controlling congestion on complex networks: fairness, efficiency and network structure
Lubos Buzna, Rui Carvalho
Scientific Reports 7, 9152 (2017) physics.soc-ph/1512.09293
14. Critical behaviour in charging of electric vehicles
Rui Carvalho, Lubos Buzna, Richard Gibbens, Frank Kelly
New J. Phys. 17 (2015) 095001 math.OC/1501.06957
Reviewed in Phys.org (September 2015)
Reviewed in Wissenschaft-Aktuell [in German] (October 2015)
13. Congestion dependencies in the European gas pipeline network during crises
Lubos Buzna, Rui Carvalho, Flavio Bono, Marcelo Masera, David Arrowsmith
Complexity in Engineering (COMPENG), 2014
12. Resilience of natural gas networks during conflicts, crises and disruptions
Rui Carvalho, Lubos Buzna, Flavio Bono, Marcelo Masera, David Arrowsmith, Dirk Helbing
PLoS ONE 9(3): e90265 (2014) physics.soc-ph/1311.7348
Reviewed in MIT Technology Review (December 2013)
Reviewed in Phys.org (March 2014)
Reviewed in ETHZ News (March 2014)
Reviewed in Energy Post (January 2014)
Reviewed in Journal of Energy Security (April 2014)
Reviewed in De Ingenieur (May 2014)
11. Fair sharing of resources in a supply network with constraints
Rui Carvalho, Lubos Buzna, Wolfram Just, Dirk Helbing, David Arrowsmith
Phys. Rev. E 85, 046101 (2012) physics.soc-ph/1108.0025
Selected for the PRE Kaleidoscope (April 2012)
10. Robustness of trans-European gas networks
Rui Carvalho, Lubos Buzna, Flavio Bono, Eugenio Gutierrez, Wolfram Just, David Arrowsmith
Phys. Rev. E 80, 016106 (2009) physics.soc-ph/0903.0195
Reviewed by Mark Newman in Networks: An Introduction (see pp 33 and 34)
Reviewed by Phillip F. Schewe in Inside Science News Service

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In The Media

  1. What's the best way to charge millions of electric vehicles at once, Phys.org
  2. Gerechtes Stromnetz: Optimiertes Aufladen von Elektroautos, Wissenschaft-Aktuell [in German]
  3. De Europese Gasrotonde, De Ingenieur
  4. Doing the Numbers on European Natural Gas Security, Journal of Energy Security
  5. Preventing natural gas crises, ETH News
  6. Europe's resilience of natural gas networks during conflicts and crises probed with maths, Phys.org
  7. Researchers: Europe can avoid gas supply crisis by better cooperation, Energy Post
  8. How Internet-Style Routing For Gas Could Dramatically Improve Europe's Energy Security, MIT Technology Review
  9. I co-organized a FuturICT talk at QMUL by Prof. Dirk Helbing on the 29th March 2011 (Press release: FuturICT and Social Mathematics Talk). The talk is available on Vimeo here.
  10. ImpactQM: Research Making a Difference
  11. Why the gas is always on, by Phillip F. Schewe.
  12. The urban maze, news@nature.com
  13. Critical Mass : How One Thing Leads to Another, by Philip Ball