Dr Lucas Lacasa

Profile

Dr Lucas Lacasa is currently an EPSRC Early Career Fellow and a Reader in Applied Mathematics. He joined QMUL as a Lecturer in 2013, and prior to that, he was Assistant Professor at Technical University of Madrid. He has been an invited researcher in several universities including the University of Oxford and UCLA.

His research field is Complex Systems, where he applies methods from Dynamical Systems, Statistical Physics and Network Science to explore the onset of collective phenomena in different systems. He is particularly interested in developing tools at the interface between Time Series Analysis and Network Science, a project for which he has been awarded a 3-year EPSRC Early Career Fellowship starting in 2017.

Research

Research Interests:

General interest in complex systems.

Interdisciplinary applications of statistical physics and nonlinear dynamics.
Network science.
Nonlinear and graph-theoretical time series analysis.
Collective behaviour in multicomponent systems.

Examples of research funding:

EPSRC Early Career Fellowship (2017-2020) | 100% FTE

Publications

Selected publications:

• Multiplex decomposition of non-Markovian dynamics and the hidden layer reconstruction problem
  Lucas Lacasa, Inés Pérez-Mariño, Joaquín Miguez, Vincenzo Nicosia, Edgar Roldan, Ana Lisica, Stephan W. Grill and Jesús Gómez-Gardeñes 
  Physical Review X 8, 031038 (2018)
  
  
• The dynamics of norm change in the cultural evolution of language
  Roberta Amato, Lucas Lacasa, Albert Diaz-Guilera, Andrea Baronchelli
  PNAS 115, 33 (2018)
  
  
• Visibility graphs and symbolic dynamics
  Lucas Lacasa, Wolfram Just
  Physica D 374, 35-44 (2018)
  
  
• On the thermodynamic origin of metabolic scaling
  Fernando Ballesteros, Vicent Martinez, Bartolo Luque, Lucas Lacasa, Enric Valor and Andres Moya
  Scientific Reports 8, 1448 (2018)
  
  
• Scaling and universality in the human voice
  Jordi Luque, Bartolo Luque and Lucas Lacasa
  Journal of the Royal Society Interface 12, 20141344 (2015)
  
  
• On the degree distribution of horizontal visibility graphs associated to Markov processes and dynamical systems: diagrammatic and variational approaches
  Lucas Lacasa
  Nonlinearity 27, 2063-2093 (2014)
  
  
• Correlation dimension of complex networks
  Lucas Lacasa, Jesús Gómez-Gardeñes
  Physical Review Letters 110, 168703 (2013)
  
  
• Number theoretic example of scale-free topology inducing self-organized criticality
  Bartolo Luque, Octavio Miramontes, Lucas Lacasa
  Physical Review Letters 101, 158702 (2008)
  
  
• From time series to complex networks: the visibility graph
  Lucas Lacasa, Bartolo Luque, Fernando Ballesteros, Jordi Luque, Juan C. Nuño
  PNAS 105, 13 (2008)