Currently, I am the Vice-dean of the Information Engineering program at the Universidad del Pacífico in Lima, Peru (Bitmap team). Moreover, I am part of the Artificial Intelligence team at the Pontificia Universidad Católica del Perú (IA-PUCP team). My research works are focused on methods to extract knowledge from large amounts of heterogeneous data, especially those involving spatial and temporal dynamics.
In October 2013, I received my Ph.D. in Computer Science from the University of Montpellier 2, France in collaboration with the University of New Caledonia. My thesis was carried out under the supervision of Maguelonne Teisseire, Nazha Selmaoui-Folcher, Sandra Bringay and Frédéric Flouvat. This work involved the spatiotemporal pattern mining problem in geo-referenced data, more specifically, focused on health and environmental issues. We have applied our findings on dengue fever epidemic in New Caledonia and river pollution in some water agencies in France.Previously, I received my Master degree from the University of Montpellier 2 (France) in Computability, Algorithms and Network Management and Security in June 2010 and I obtained my degree in Systems Engineering at Andina University in 2004 (Cusco, Peru).
My research works is focused on Knowledge Extraction from Data. I am mainly concentrated in technics for extraction of complex patterns from data involving spatiotemporal dynamics. These studies should tackle real problems associated with biodiversity, environment, health issues, among others. Some of my contributions are available on DBLP (DBLP).
I am also interested in the diffusion of areas such as Data Mining, Machine Learning, Big Data, etc. This is reflected in some conferences where I was General Chair or member of the Organization Committee. Some of them are SIMBig 2018, SIMBig 2017, SIMBig 2016, CIARP 2016, SIMBig 2015, SIMBig 2014, WRPIAA 2014, NLDB 2014, among others.
Founded research projects
During these last four years I have been participating - as a head or a member of researchers team - of some projects financed by local and/or international organizations. Some of these projects are:
Development of a decision support system, using drones, for adaptation to climate change in high-Andean agriculture
The idea behind this project is to build a decision support system based on the results of the analysis of heterogeneous data associated with agriculture. The data at our disposal contains surveys, meteorological data, hydrological data, images from multi-spectral cameras, among others. This project is funded by local government, precisely, by the National Institute of Agrarian Innovation INIA-PNIA.
Low cost microscope for smartphones: Technological solution for the detection of diseases in cattle
The aim of this project is to propose a new technology for the early detection of subclinical mastitis in cattle. Our proposal includes the adaptation of a device for capturing images and a microscope to a micro-computer. Also, an algorithm for counting somatic cells was proposed. This project ended in April 2018.
Smart shopping: Smart purchase tool
This project aims at constructing an algorithm to - smartly - compare products from different stores in order to propose the best price to clients. The idea behind our proposal is to compare features of the products based on a distance measure. This project ended in September 2017, and our algorithm is protected by intellectual property rights in Peru.
PEDESTAl: Prediction models for Energy consumption based on big data analytics of population DEnsity and SpaTio-social Activities
The proposed project aims to design and implement prediction models for energy (electricity) consumption relaying on human activities classification and mapping over time as well as population density dynamic estimation. To achieve our goal, Big Data Analytics, Data and Text Mining, Machine Learning and Social Network tool will be investigated and applied. This project is founded by Stic-AmSud.
The BirthDAY project aims at providing new efficient decision-making tools for helping agricultural development as well as biodiversity protection in Peru. More precisely, it aims at developing a new platform for helping to acquire new data, to extract knowledge, and to share useful information and knowledge among different actors that are involved in agriculture or biodiversity domains in Peru.
My trajectory starts in 2004 with some courses in technical schools. The latest ones are:
- Universidad del Pacífico, Peru
- Data engineering (undergraduate degree, 2016 - now)
- Data mining (undergraduate degree, 2016 - now)
- Web mining (undergraduate degree, 2016 - 2017)
- Pontificia universidad Católica del Perú, Peru
- Aplicaciones de las Ciencias de la Computación (undergraduate degree, 2014 - 2016)
- Information visualization (master degree, 2015 - now)
- Text mining (master degree, 2015 - now)
- Ecole d'informatique EPSI, Montpellier, France
- Data Werehouse and OLAP (undergraduate degree, 2013 - 2014)
- Université de Montpellier 2, France
- Extraction des connaissances à partir des données (master degree, 2012 - 2014)
- Introduction à la fouille de données (master degree, 2015 - now)
- Introduction à l’Algorithmique et la programmation (undergraduate degree, 2010 - 2014)
- Université Paul Valéry, Montpellier, France
- Méthodologie et traitement de données, analyse de données (undergraduate degree, 2011 - 2012)
- Pilar Hidalgo-Leon, Ph.D. candidate, PUCP (the work is currently in development)
- Luis Jara-Obregón, Ph.D. candidate, PUCP (the work is currently in development)
- Guillermo Rodríguez-López, Ph.D. candidate, PUCP (the work is currently in development)
- José Luis Barturén-Larrea, Master student, PUCP. Document here
- Oscar Antonio Díaz-Barriga, Master student, PUCP. Document here
- Natali Flores-Lafosse, Master student, PUCP. Document here
- Rodrigo Ricardo Maldonado-Cadenillas, undergraduate student, PUCP. Document here
- Wissame Laddada, "Discovering new spatial relationships using text mining methods". Supervision of Master Research Internship, Université de Montpellier 2.
- Pierre Accorsi, "Spatiotemporal pattern visualization: Three different approaches". Supervision of Master Research Internship, Université de Montpellier 2.
- Mickaël Fabrègue, "Efficient spatiotemporal sequential pattern mining". Supervision of Master Research Internship, Université de Montpellier 2.