Victor M. Preciado

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We study the problem of containing spreading processes in arbitrary directed networks by distributing protection resources throughout the nodes of the network. We consider two types of protection resources are available: (i) Preventive resources able to defend nodes against the spreading (such as vaccines in a viral infection process), and (ii) corrective(More)
This article reviews and presents various solved and open problems in the development, analysis, and control of epidemic models. Proper modeling and analysis of spreading processes has been a longstanding area of research among many different fields including mathematical biology, physics, computer science, engineering, economics, and the social sciences.(More)
We study the problem of containing spreading processes in arbitrary directed networks by distributing protection resources throughout the nodes of the network. We consider that two types of protection resources are available: 1) preventive resources able to defend nodes against the spreading (such as vaccines in a viral infection process) and 2) corrective(More)
This paper studies an SI1SI2S spreading model of two competing behaviors over a bilayer network. In particular, we address the problem of determining resource allocation strategies that ensure the extinction of one behavior while not necessarily ensuring the extinction of the other, and pose a marketing problem in which such a model can be of use. Our(More)
This paper reports a robust scheme for topology identification and control of networks running on linear dynamics. In the proposed method, the unknown network is enforced to asymptotically follow a reference dynamics using the combination of Lyapunov based adaptive feedback input and sliding mode control. The adaptive part controls the dynamics by learning(More)
In this paper we study the dynamics of epidemic processes taking place in adaptive networks of arbitrary topology. We focus our study on the adaptive susceptible-infected-susceptible (ASIS) model, where healthy individuals are allowed to temporarily cut edges connecting them to infected nodes in order to prevent the spread of the infection. In this paper we(More)
Analog CNN array computer arises as an alternative to traditional digital processors in many industrial inspection like visual quality control of metal laminates, capable of make in a single chip Tera equivalent operations per second. A 4096 analog CNN processor array is able to perform complex space-time image analysis, being much faster than a(More)
We consider the problem of controlling the propagation of an epidemic outbreak in an arbitrary contact network by distributing vaccination resources throughout the network. We analyze a networked version of the SusceptibleInfected-Susceptible (SIS) epidemic model when individuals in the network present different levels of susceptibility to the epidemic. In(More)
In this paper, we study synchronization of complex random networks of nonlinear oscillators, with specifiable expected degree distribution. We review a sufficient condition for synchronization and a sufficient condition for desynchronization, expressed in terms of the eigenvalue distribution of the Laplacian of the graph and the coupling strength. We then(More)