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Dr Carlos Molinero
Appointment
  • Research Associate
  • Centre for Advanced Spatial Analysis
  • Faculty of the Built Environment
Biography
Carlos Molinero is a researcher in the urban networks field. 

His formal studies have developed in Madrid, Chicago, Brussels and London. He holds a Degree and Masters in architecture from the Superior Technical School of Architecture of Madrid (ETSAM), Universidad Polit├ęcnica de Madrid (UPM) and a M.Res. and Ph.D. in Computer Science from the School of Computer Science of the Universidad Complutense de Madrid (UCM). 

He worked as an architect in Chicago, Madrid and Paris in several studios before joining the UCM as a researcher in the computer science field for several years. The work undertaken during this Ph.D. period was around the application of artificial intelligence techniques to the field of hardware/software testing and the formal specification of hierarchical agent systems. He then joined the Space group at the University College of London (UCL) with Prof. Bill Hillier as a research associate to undertake research in the analysis and generation of urban networks. Currently, he is a research associate at the Centre for Advanced Spatial Analysis (CASA) at UCL where he is working in the MECHANICITY (Morphology, Energy and Climate cHANge In the CITY) project with Prof. Michael Batty.
Research Summary
My research interests lay in the understanding of cities as evolving systems and how from the aggregation of partial temporally and culturally situated decisions can emerge another level of order with its own set of rules which can be uncover by the study of the network as a complex system.

The current research I am undertaking is in the field of network theory and the study of how processes such as percolation and the study of the fractal dimensions of the system can help us to explore the hierarchical description of road networks and uncover some historical and cultural/social traits.

A complementary side of this research is the study of centrality measures of urban networks and the extent to which these measures are capable of explaining several socio-economic phenomena.
Teaching Summary
Co-teaching of a course on the fundamentals of computer science to contemporary art (2010).
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