Nicolas Rubido Obrer

Dr

    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" (MSc thesis) Network Neuroscience - "Study of brain connectivity using functional ultrasound" (MSc thesis)

    • Source: Scopus
    20092020

    Research output per year

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    Personal profile

    Biography

    Since June 2020 I was appointed as Research Fellow of the Aberdeen Biomedical Imaging Centre (ABIC), University of Aberdeen (UoA), Aberdeen, Scotland. My appointment corresponds to a 2 year RSAT project involving the development of novel neuroimaging-informed ways to classify Alzheimer’s disease and mild cognitive impairment. Also, I was appointed Honorary Research Fellow of the Institute for Complex Systems and Mathematical Biology (ICSMB), UoA, from January  2020 until January 2021.

    Since 2016, I hold a permanent position (with full-time dedication) as an 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 Department for Theoretical Physics of the Physics Institute in the School of Science (IFFC). Previous to my Ph.D., I also worked in Uruguay at the IFFC from 2007 until 2010 as a Researcher Assistant, doing Teaching Assistance and research within the Non-linear Physics Group (group webpage). During those years I taught laboratory courses on electronics and modern physics; impart tutorials on wave mechanics, Lagrangian and Hamiltonian mechanics, and non-linear physics. Also, I undertook intern-ships at the Acoustic-Optics Laboratory (acustoptica.fisica.edu.uy) and at the Laboratory of Fluid Instabilities (fluidos.fisica.edu.uy).

    I have a Ph.D. in Physics [2014] from the ICSMB, UoA and a M.Sc. [2010] and B.Sc. [2008] degrees in Physics from the UdelaR. My Ph.D. was supervised by Dr. Murilo S. Baptista (website) and Prof. Celso Grebogi (website) and it was 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 as an outstanding thesis, which after winning was published as a book (ISBN 978-3-319-22216-5). Its outcomes are framed within Complexity Science, involving exact and approximate results for the behaviour and stability of complex systems, which are valid for a wide range of systems but particularly suitable for the modern power-grid models. Before my Ph.D., I got my M.Sc. degree on a thesis entitled "Synchronisation of coupled electronic oscillators" under the supervision of Prof. Arturo C. Martí and Dr. Cecilia Cabeza. The thesis considered the case of an electronic oscillator model, implemented experimentally under a dual RC circuit, which could interact by means of light pulses as a firefly. We also studied the system analytically and numerically obtaining some 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 in order for us to function and our observations can only access these behaviours by indirect measurements (such as EEGs or MRIs). What happens when a disease affects the brain connectivity? How do we manage to infer the connectivity from indirect measurements? What can we say about the different states of consciousness? How can we develop/improve methods to understand all these issues? These (and other) questions are the ones that I am currently interested in answering.

    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 semi-conductor Lasers with optical feedback 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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