Research and projects

(Research interest, publications and projects)

In addition to my studies I have a specific research interest, data analysis and applied machine learning in software engineering. In which I’ve been working on some projects and publications related to it, with fabulous people, covering topics like fraud tax-detection, Top Android’s apps and Vulnerability detection. Here you can find some of my projects and research.

SeneCare.

a tool that is part of the Uniandes Epidemiological Surveillance System, which helps registering COVID-19 symptoms and give timely recommendations to the community and also, helps to take informed decisions

July 2020-present

COVID-19Epidemiological Surveillance

womENcourage - SeneCare

an extended abstract and a poster showing some of the community efforts made to build SeneCare components.

WomENcourage'21

COVID-19Epidemiological SurveillanceSE

Shallow or Deep? An Empirical Study on Detecting Vulnerabilities using Deep Learning

In this empirical study we evaluate some shallow and deep learning techniques for detecting code Vulnerabilities.

ICPC'21

Vulnerability DetectionEmpirical StudyDLML

Hall-of-Apps.The Top Android Apps Metadata Archive

In this data showcase we present a dataset. In this dataset we include metadata Android apps, that were present in top app charts in Google Play.

MSR'20

Web MiningAndroidHuman-centered computing

Modelo de Identificación de Potenciales Omisos de la Actividad Económica 471 1 Usando Clústering Jerárquico

Identification Model of Possible Tax Evaders of the Economic Activities 4711 1 and 6810 using Hierarchical Clustering In this project we use machine learning models in order to detect fraud tax-detection for some economic activities.

CAOBA - 2019

SoftwareTax evadersEnsemble methodsML

Priorización de Zonas y Direcciones a Visitar en el Proceso de Registro Empresarial

Prioritization of Zones and Addresses to Visit in the Commercial Registration Process.

CAOBA - 2019

SoftwareGeographical dataCommercial RegistrationTax Evasion

Identificación de Posibles Omisos de las Actividades Económicas 4711 1 y 6810 y Estimación de Base Gravable Para el Cálculo del Impuesto de Ica

Identification of Potentials Evaders of Economic Activities 4711 1 and 6810, and Estimation of the Taxable Base for the Calculation of the Industrial and Commercial Tax

CAOBA - 2019

SoftwareCommercial RegistrationTaxable base

ALAS. Intelligent Anomaly Notification System based on Behavioral Daily Living Activities Patterns

Notification model for anomalies on daily life behavior pattern activities, which are inferred from ambient non-intrusive sensors data analysis.

Master Thesis

Daily Living ActivitiesBehavior PatternsUbiquitous Computing

TAURUS. Detection of Android Material Components in Application Usage Videos.

Detecting Material Android components with machine learning in application usage videos in order to help automating testing.

Undergraduate Thesis

AndroidUI/UXML