V
Victor M. Preciado
Researcher at University of Pennsylvania
Publications - 228
Citations - 4284
Victor M. Preciado is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Convex optimization & Eigenvalues and eigenvectors. The author has an hindex of 27, co-authored 218 publications receiving 3378 citations. Previous affiliations of Victor M. Preciado include Rensselaer Polytechnic Institute & Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
Analysis and Control of Epidemics: A Survey of Spreading Processes on Complex Networks
TL;DR: A review of the development, analysis, and control of epidemic models can be found in this paper, where the authors present various solved and open problems in the development and analysis of epidemiological models.
Journal ArticleDOI
Optimal Resource Allocation for Network Protection Against Spreading Processes
TL;DR: In this paper, the authors studied the problem of containing spreading processes in arbitrary directed networks by distributing protection resources throughout the nodes of the network, assuming that both preventive and corrective resources have an associated cost.
Journal ArticleDOI
Optimal Resource Allocation for Network Protection Against Spreading Processes
TL;DR: Both the resource allocation problems can be solved in polynomial time using geometric programming (GP) for arbitrary directed graphs of nonidentical nodes and a wide class of cost functions.
Proceedings ArticleDOI
Optimal vaccine allocation to control epidemic outbreaks in arbitrary networks
TL;DR: A convex framework to find cost-optimal distribution of vaccination resources when different levels of vaccination are allowed is proposed to find the optimal distribution of vaccines throughout the network to control the spread of an epidemic outbreak.
Journal ArticleDOI
Optimal Resource Allocation for Control of Networked Epidemic Models
TL;DR: This paper proposes and analyzes a generalized epidemic model over arbitrary directed graphs with heterogeneous nodes, called the generalized–susceptible exposed infected vigilant, which subsumes a large number of popular epidemic models considered in the literature as special cases.