Machine learning techniques applied to urban metabolism

Yves Bettignies Cari

Université Libre de Bruxelles - Ecole Polytechnique de Bruxelles

Yves Bettignies Cari is an engineer and PhD student at the Ecole Polytechnique de Bruxelles (Université Libre de Bruxelle) in Belgium. His research focuses on the modelling of urban metabolism with help of machine learning algorithms and data mining techniques. He is also part of the research platform "Metabolism of Cities".


Cities alone account for three quarters of global CO2-eq energy-related emissions and two thirds of global energy use. In 2050, the number of inhabitants will increase to 67% in urban areas and reach 6.34 billion humans, which... [ view full abstract ]


  1. Yves Bettignies Cari (Université Libre de Bruxelles - Ecole Polytechnique de Bruxelles)
  2. Aristide Athanassiadis (Université Libre de Bruxelles -)
  3. Miguel Angel Gomez Zotano (Université Libre de Bruxelles - IRIDIA (Artificial Intelligence research lab))

Topic Areas

• Socio-economic metabolism and material flow analysis , • Open source data, big data, data mining and industrial ecology


MS-18 » Computational methods to support decision-making (14:00 - Monday, 26th June, Room I)

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