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    Carlos Mejía Monasterio

    Carlos Mejía-Monasterio is a professor of physics and mathematics at the School of Agricultural, Fodd and Biosystems Engineering of the Technical University of Madrid, UPM

    His main research field is Nonequilibrium Statistical Mechanics.He is interested in the mathematical comprehension of energy diffusion processes, the relation between macroscopic phenomena and the properties of the underlying microscopic dynamics, nonequilibrium fluctuation theorems, stochastic thermodynamics, and active transport, among others.

    Please tick to my personal webpage.


    Since 2010 Associate Professor, School of Agricultural, Food and Biosystems Engineering, Technical University of Madrid, Spain.

    2017-2018 Invited Professor @ Department of Mathematical Sciences, Polytechnic University of Turin, Italy.

    2012-2013 Guest Researcher @ Department of Mathematics and Statistics, University of Helsinki, Finland.

    2009-2010 Postdoctoral Researcher @ Department of Mathematics and Statistics, University of Helsinki, Finland.

    2008-2009 Postdoctoral Researcher @ Institute for Complex Systems, C.N.R. Florence, Italy.

    2005-2007 Postdoctoral Researcher (Lagrange Fellow) @ Department of Mathematics, Polytechnical University of Turin, Italy

    2005 Associate Researcher @ Department of Theoretical Physics, University of Geneva, Switzerland

    2003-2005 Postdoctoral Researcher @ Center for Nonlinear and Complex Systems, University of Insubria, Como, Italy

    2001-2002 Postdoctoral Researcher @ Center for Physical Sciences, National University of Mexico. Cuernavaca, Mexico.


    Research keywords: Nonequilibrium statistical mechanics. Nonlinear dynamical systems. Thermoelectricity. Heat transport. Condensed matter. Open quantum systems. Many-body systems. Microfluidics. Complex systems. Stochastic processes. Soft matter. Active matter. Stochastic lattice systems First-passage time. Random walks. Optimal control. Complex systems.


    With interest and experience in Biostatistics, Complex Networks, Data Science and Big Data.




    Grado: Tecnologías Agrarias en países en desarrollo.

    Master: Técnicas de presentación y comunicación oral.

    Doctorado: Tutor y director de Tesis doctorales

    Postgrado: Tutor de estudiantes internacionales.