Ph.D. in Complex Systems Engineering

August 11, 12: Predoctoral School "Sistemas Complejos: Teoría y Aplicaciones"

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Ph.D. in Complex Systems Engineering

April-2020: Mary Carmen Jarur graduates from the DISC Program

Ph.D. in Complex Systems Engineering

January-2020: Fabiola Lobos graduates from the DISC Program

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August 11, 12: Predoctoral School «Sistemas Complejos: Teoría y Aplicaciones»

Vía Zoom, de 09.00am a 13.00hrs. Dirigido a graduados universitarios con títulos en ingeniería o ciencias afines: Matemáticas, Física, Biología, Química u otros. Ingenieros civiles profesionales o titulares de un título equivalente que implica un mínimo de 10 semestres académicos de estudio. More info

27 Jul

Next Seminar (23/06/2020, 11.30h, vía ZOOM): «Inverse problems on the block-sequential operator in Boolean networks»

Luis Cabrera-Crot, Ph.D.(c) en Cs. de la Comput., UDEC. Link Zoom: https://zoom.us/j/98349576030
Abstract: Motivated by the problem of the possible dynamics of a Boolean network with different update schedules,
we study the block-sequential operator that associates each Boolean network with block-sequential schedule, an
equivalent Boolean network with a parallel scheme. In this presentation we focus on solving some inverse problems
of this operator. In particular, on the complexity of finding the pre-images of a given Boolean network.

15 Jun

Next Seminar (09/06/2020, 11.30h, vía ZOOM): «Local and non-local partial differential equation models of complex systems: on spiral waves, infectious diseases, and pedestrian flows»

Raimund Bürger, CI²MA & DIM, FCFM, UDEC. Link Zoom: https://zoom.us/j/93144417547
Abstract: Many complex systems in the applied sciences can be described by discrete or continuous dynamical system that describes the change of state or position of a cell or an individual due to external stimuli. These can be as diverse as electrical impulses for models of cardiac issues, climatic effects, the transmission dynamics of models of infectious diseases, as well as effects of hindrance due to the presence of other individuals, obstacles, and discomfort when approaching walls in the context of pedestrian flow models. All these models have in common that they are based on local rules of behaviour of individuals but under various models of spatial coherence give rise to macroscopic structures, such as spiral waves in cardiac tissues, spatio-temporal patterns in infectious diseases, and the formation of lanes of pedestrians. Most of these models can be expressed as systems of partial differential equations of reaction-diffusion(-convection) type, some of them with non-standard ingredients such as non-local velocity vectors. The latter properties have motivated recent research in mathematical and numerical analysis.
We present a review advances in the modeling, analysis and numerical simulation of models of this kind for the scenarios of spiral waves in cardiac tissue, the propagation of hantavirus in rodents, and a recent non-local model of pedestrian flow in closed walking areas. In the first of these scenarios the analogy with a cellular automata will be stressed.

02 Jun

Ph.D. in Complex Systems Engineering

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Bernardo González

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