Paola Gabriela Pesántez-Cabrera
Engineering Professor (Universidad de Cuenca / 2009 - current)
Ph.D. in Computer Science (Washington State University / 2013-2018)
M.Sc. Computer Science (Washington State University / 2011-2013)
LATEST PROJECTS
Project | 03
Project | Detecting Communities on Bipartite Networks
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Community detection is a widely used operation in graph theory.
The goal is to partition the vertex set of an input graph into tightly-knit groups or communities, such that there is a high probability of observing an edge between any two members of the same community than between vertices of dierent communities.
We define a variant of Murata's modularity to overcome a limitation of the classical denition; and we extend the Louvain algorithm, which is a widely used algorithm for community detection in unipartite networks, using the modied form of modularity as its objective function.
Thesis Project - Advisor: Ananth Kalyanaraman, Ph.D.
Project | 04
Project | Relation Extraction and Deambiguation
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Major events such as movie awards, superbowls are reported by every major news media and websites. Assume that we process multiple data sources for constructing our knowledge graph. Detecting duplicate facts that capture the same relationship between a pair of entities is an important problem.
Internship at Pacific Northwest National Laboratory.
Project | 05
Project | Software Development to Simulate Irradiation of Skin
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For the development of this project, computational tools were created in Fortran, Bash, and MATLAB to gather, process, and fit experimental data resulting from the Monte-Carlo simulation of low energy electron particle tracks in liquid water using the Positive Ion Track Simulation (PITS) code set.