Nicolas Rubido Obrer


    Accepting PhD Students

    PhD projects

    Ongoing supervisions (Universidad de la República, Uruguay): Mathematical Physics - "Finding the optimal connectivity for Complex Systems: maximising the information transmission with minimal connections" (PhD thesis) Mathematical Physics - "Exploring the limits of extensivity in complex systems" (MSc thesis) Geophysical Data Analysis - "Sub-seasonal prediction of rain and drought abrupt transitions" (PhD thesis) Neuroscience Data Analysis - "Psychedelic state characterization by means of EEG analyses in rats: Ibogaine and REM sleep" (PhD thesis) Network Neuroscience - "Study of brain connectivity using functional ultrasound" (MSc thesis)

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    Personal profile


    Since June 2020 I am a Research Fellow of the Aberdeen Biomedical Imaging Centre (ABIC), University of Aberdeen (UoA), Scotland. The appointment corresponds to a 2 year RSAT-funded project led by Dr. V. Vuksanovic, involving the development of novel neuroimaging-informed ways to classify Alzheimer’s disease and mild cognitive impairment. From January 2020 until January 2021, I was also appointed Honorary Research Fellow of the Institute for Complex Systems and Mathematical Biology (ICSMB), UoA. Since 2016, I hold a permanent position as Adjunct Professor of the Universidad de la República (UdelaR), Uruguay (Associate Professor and Professor are the remaining positions in the tenure track), which I maintain as Honorary whilst being a Research Fellow. My position is based at the Physics Institute (IFFC) within the Non-linear Physics Group (group's web).

    I have a Ph.D. in Physics [2014] from the UoA, which was supervised by Dr. M. S. Baptista and Prof. C. Grebogi, entitled "The mathematical principles behind the transmission of Energy and Synchronisation in Complex Networks". The thesis got nominated to the Springer theses award by the UoA, which after winning, was published as a book (ISBN 978-3-319-22216-5). Its outcomes (including several publications) involve exact and approximate results for the behaviour and stability of complex systems, which are valid for a wide range of systems, but are particularly suitable for modern power-grid models. Before my Ph.D., I got a M.Sc. degree from the UdelaR for the thesis "Synchronisation of coupled electronic oscillators" under the supervision of Prof. A. C. Martí and Dr. C. Cabeza. The thesis considered the case of an electronic oscillator model for a firefly, implemented experimentally under a dual RC circuit and interacting by means of light pulses. We also studied the system analytically and numerically, obtaining general conclusions for generic piecewise oscillators.

    Research Interests:

    My research interests are focused on Complexity issues. In general, the complex systems that I research involve Coupled Dynamical Systems, namely, many non-trivially interacting sub-systems. I try to measure, explain, and/or predict their collective behaviour (for example, the emergence of synchronization or chaotic dynamics) in terms of how they are inter-connected, namely, in terms of the topological features of the underlying network topology (i.e., Graph Theory).

    In particular, I am fascinated by Network Neuroscience research, where Complexity-challenges abound -- neurons in the brain create a myriad of dynamical behaviours due to their intricate connectivity and complex substrate and our observations can only access these behaviours by indirect measurements. I am intereseted in questions such as, how do we manage to infer the brain's connectivity from indirect measurements (e.g., EEGs or MRIs)? how do particular pathologies (e.g., Alzheimer's disease or chronic depression) affect the brain's connectivity? what data-driven conclusions can we draw from studying different states of consciousness (e.g., REM sleep)? and how can we develop/improve methods (both, in data mining and analysis) to increase our unserstanding of these issues?

    I am also interested in Fluid Dynamics, specifically, in turbulence and numerical simulations of Navier-Stokes equations; in the mathematical properties of Non-linear Dynamical Systems, mainly, with respect to bifurcation theory; in Non-equilibrium Statistical Mechanics, with a focus on the statistical properties of time-delayed systems and of neural/biological networks; and finally, in the development of novel Information Theory and Data Analysis techniques.

    Education/Academic qualification

    Physical Sciences, PhD

    1 Oct 201128 Nov 2014

    Award Date: 28 Nov 2018

    Physical Sciences, Masters Degree, Universidad de la República

    14 Aug 200814 Jul 2010

    Award Date: 14 Jul 2010

    Physical Sciences, Bachelors Degree, Universidad de la República

    15 Aug 200314 Jul 2008

    Award Date: 14 Jul 2008

    External positions

    Adjunct Professor, Physics Institute, Universidad de la República

    21 Dec 2014 → …


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