Marc Grau Leguia received both his bachelor’s degree in physics and his Master of Advanced Physics from the Universitat de Barcelona. Marc’s Bachelor thesis was titled “Directed Percolation universality class in Self-Organized Critical systems” which investigated self-organized systems to explore if the critical exponents of these systems belonged to the direct percolation universality class. His master’s thesis was entitled “Synchronization and dynamic transition in periodic reaction diffusion processes on complex topologies” which was concerned with the field of complex networks, specifically reaction-diffusion processes on different networks models. Both theses were supervised by Prof. M. Carmen Miguel. Marc has also worked as an image analyst with the Department of Astronomy and Meteorology at Universitat de Barcelona where he worked on image-cleaning with the aim of obtaining 3-D velocity maps of a specific stellar region. In October 2015 Marc started his PhD research project, titled “Inverse-engineering of complex oscillatory networks” which is jointly supervised by Prof. Zoran Levnajic at Faculty of Information Studies in Novo Mesto and Prof. Ralph G Andrzejak at the Universitat Pompeu Fabra.
M. G. Leguia, C. G. B. Martínez, I. Malvestio, A. Tauste Campo, R. Rocamora, Z. Levnajić, and R. G. Andrzejak, “Inferring directed networks using a rank-based connectivity measure” Phys. Rev. E (2019) LINK
Leguia M.G., Andrzejak R. G. and Levnajić Z. “Evolutionary optimization of network reconstruction from derivative-variable correlations” J. Phys. A: Math. Theor. 50 334001 LINK
Irene Malvestio, Marc Grau, Eero Satuvuori, Gloria Cecchini, Rok Cestnik: ” Inferring network connectivity: open questions and some answers”. 2nd COSMOS Workshop, Amsterdam, Dec. 2016 (Talk)