Erick Cuenca
Computer science professor | visualization

About me

Erick Cuenca

Erick holds a Ph.D. in Computer Science with a focus on data analysis and visualization. He has over 16 years of experience in different technological fields, such as designing applications, developing web systems, data analysis, and data visualization. Erick is especially interested in understanding the multidimensional aspects of the data. Currently, he is a professor in the Department of Computer Science at Yachay Tech University, Ecuador.

In 2019, Erick was a postdoctoral researcher at UCLouvain University, Belgium. Erick's research focused on proposing several approaches to understand the temporal and spatial aspects of the data. He was a member of the INGI department at the ICTEAM institute.

In 2018, Erick defended his Ph.D. thesis at the University of Montpellier, France, where he was a member of the ADVANSE team at the LIRMM laboratory. His thesis work focuses on dynamic and complex data modeled by time series and graphs, respectively.


UCLouvain, Belgium

University of Montpellier, France. (Manuscript: )

University of Montpellier, France. (Mémoire: )

Professional Experiences

Dec. 2019 - present

Professor of Algorithms, Operating Systems, Database Administration, and Machine Learning courses. Research related to the domain of Computer Science. Master's and undergraduate thesis supervisor.

Dec. 2018 - Dec. 2019

Researcher of new analytic tools that help to understand migratory trends. Development of interactive visual applications that exploit the multidimensional aspects of the data. In charge of practical workshops on the development of multilayer web projects.

Feb. 2015 - Nov. 2018

Research on the data visual analysis domain. Development and implementation of web and desktop applications to analyze the temporal dimension of data and model its complex relations in graphs.

Jan. 2012 - Aug. 2013

Development of distributed applications in several technological projects (IESS, BIESS, and Movistar). Implementation of technologies and database migrations.

Oct. 2009 - Dec. 2011

Development of applications and databases to automate processes in meteorological stations. Digitization of meteorological records.

Mar. 2005 - Sept. 2009

Head of the IT department. In charge of data processing, database creation, software development/adaptation. Development of the NIEVE and BALACCESS platforms for the analysis of meteorological and glaciological data.



MultiStream is a visual platform developed to facilitate the analysis of multiple time series. This approach facilitates the exploration and comparison of time series evolution at different levels of granularity through interactive visual components.

Case uses: COVID-19's evolution, Sentiment analysis in tweets, music genre evolution.


VERTIGo is a visual platform for the analysis of complex data containing different types of relations and modeled in the form of multilayer graphs. VERTIGo allows define a multilayer graph, and then interactively search and explore all occurrences of that graph in a large dataset.

Case uses: DBLP author and Panama papers networks.
USports | |

USports is an interactive application allowing to navigate and highlight the most relevant information at sports events, such as the total number of tweets, popular hashtags, users interactions, and stats (e.g., goals, attacks, offside, yellow/red cards, etc.).

Case uses: Champions League 2019, Copa America 2019, and more.

Research Projects

2021 - 2022 | Yachay Tech University, Universidad Regional Amazónica IKIAM

This project studies the evolution of glaciers in the Andes Mountains. I propose and develop informatics tools based on neural networks and visual analysis to research climate change.

2020 - 2022 | U. Yachay Tech, U. Montpellier - Francia, U. del Pacífico - Perú, U. Carabobo - Venezuela

This project aims to study patterns in urban mobility. I propose new computational and visualization tools to improving the quality of life of urban residents.

2020 - 2021 | Yachay Tech University, University of the Armed Forces

This project aims to analyze the budgetary participation of digital networks in the Armed Forces of Ecuador. In addition, I am in charge of the design of computer systems for the analysis of data from digital media.


2022 - 2023 | GIZ - SERCOP

In charge of the design, development and implementation of a web platform that displays various data quality indicators of open contracting in Ecuador.

2021 - 2021 | Grupo FARO

In charge of the review of the state-of-the-art integrity indices. Design and propose a methodology to measure the integrity and anticorruption politics in a public organization.

2021 - 2021 | Grupo FARO

In charge of the methodology for analyzing the expenses in the social networks of Ecuador's political organizations in the 2021 presidential elections. Design of the architecture of a web visualization system.

2020 - 2020 | The UN Refugee Agency (UNHCR)

In charge of the design of the architecture of an early warning system on the northern border of Ecuador. Design of methodologies for data extraction, pre-processing, and analysis.

2019 - 2020 | Escuela de Gobierno IDE, Universidad de los Hemisferios

In charge of the development of methodologies to extract, pre-process, analyze, and visualize citizen data. Develop workshops for understanding urban data.


Castro, R., Ramos, L., Román, S., Crespo, A., Cuenca E. U-Net vs. TransUNet: Performance Comparison in Medical Image Segmentation. In Communications in Computer and Information Science, 2023, 1755 CCIS, pp. 212–226 doi: 10.1007/978-3-031-24985-3_16

Fadloun, S., Morakeb, Y., Cuenca, E., Choutri, K. TrajectoryVis: a visual approach to explore movement trajectories. Social Network Analysis and Mining, 12(1): 1-17. 2022. doi: 10.1007/s13278-022-00879-8


Cuenca, E., Sallaberry, A., Ienco, D., Poncelet, P. VERTIGo: a Visual Platform for Querying and Exploring Large Multilayer Networks. IEEE Transactions on Visualization and Computer Graphics (TVCG), 28(3): 1634-1647. 2022. doi: 10.1109/TVCG.2021.3067820

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Pijal, W., Armijos, A., Llumiquinga, J., Allauca, S., Cuenca, E. Spanish Pre-Trained CaTrBETO Model for Sentiment Classification in Twitter. In Proceedings - 3rd International Conference on Information Systems and Software Technologies, 28(3): 1634-1647. 2022. doi: 10.1109/ICI2ST57350.2022.00021

Quelal, A., Brito, J., Lomas, M.S., Andrade, A., Cuenca, E. Identifying the Political Tendency of Social Bots in Twitter Using Sentiment Analysis: A Use Case of the 2021 Ecuadorian General Elections. In Communications in Computer and Information Science, 2022, 1647 CCIS, pp. 184–196. doi: 10.1007/978-3-031-18347-8_15

Noboa, S., Solís, E., Cuenca, E. Ecuador Agricultural Product Price Forecast: A Comparative Study of Deep Learning Models. In Communications in Computer and Information Science, 2022, 1648 CCIS, pp. 137–151. doi: 10.1007/978-3-031-18272-3_10

Cuenca, V., Urbina, M., Córdova, A., Cuenca, E. Use of Social Networks in Operational and Strategic Management: the Case of the Ecuadorian Land Force. In Emerging Research in Intelligent Systems, pp. 222-233. 2022. doi: 10.1007/978-3-030-96046-9_17

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Chuquín, S., and Cuenca, E. Computerized Tomography Images Processing using Artificial Intelligence Techniques. In Emerging Research in Intelligent Systems, pp. 205-218. 2022. doi: 10.1007/978-3-030-96043-8_16

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Solís, E., Noboa, S., Cuenca, E. Financial Time Series Forecasting Applying Deep Learning Algorithm. In Proceedings of Conference on Information and Communication Technologies of Ecuador (TICEC), pp. 46-60. 2021. doi: 10.1007/978-3-030-89941-7_4


Cuenca, V., Urbina, M., Córdova, A., Cuenca, E. Use and Impact of Big Data in Organizations. In Artificial Intelligence, Computer and Software Engineering Advances, pp. 147-161. 2020. doi: 10.1007/978-3-030-68083-1_12

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Cuenca, E., Sallaberry, A., Ying Wang, F., Poncelet, P. MultiStream: A Multiresolution Streamgraph Approach to Explore Hierarchical Time Series. IEEE Transactions on Visualization and Computer Graphics (TVCG), 24(12): 3160-3173. 2018. doi: 10.1109/TVCG.2018.2796591

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Cuenca, E., Sallaberry, A., Ienco, D., Poncelet, P. Visual Querying of Large Multilayer Graphs. In Proceedings of the 30th ACM International Conference on Scientific and Statistical Data Base Management (SSDBM), pp. 32:1–32:4. 2018. doi: 10.1145/3221269.3223027


Mercadier, Y., Azé, J., Bringay, S., Clavier, V., Cuenca, E., Poncelet, P., Sallaberry, A. #AIDS Analyse Information Dangers Sexualité : caractériser les discours à propos du VIH dans les médias sociaux. In Proceedings of the 29th French Knowledge Engineering Conference (IC), pp. 71-86. 2018.


Cuenca, E., Sallaberry, A., Ienco, D., Poncelet, P. In Poster session of the IEEE Information Visualization Conference (IEEE VIS), Berlin, Germany, October 2018.

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Cuenca, E., Sallaberry, A., Ying Wang, F., Poncelet, P. In Poster session of the IEEE Information Visualization Conference (IEEE VIS), Phoenix, Arizona, USA, October 2017.

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Academic Services

DSAA 2017, 4th IEEE International Conference on Data Science and Advanced Analytics, 1 paper.

CITT 2017, 3rd International Conference on Technology Trends, 3 papers.

Tecnologías Aplicadas a la Investigación, Red Internacional sobre enseñanza de la investigación (RISEI).

TIC.EC 2018, VI Ecuadorian Congress of Information Technologies and Communication.

CITT 2018, 4th International Conference on Technology Trends.

ICAT 2019 , 1st International Conference on Applied Technologies.

IC 2016, 27es Journeés francophones d'Ingénierie des Connaissances.


Yachay Tech Seminar's, Urcuquí, Ecuador, February 2020.

ICTEAM-INGI Seminar's, Louvain-la-Neuve, Belgium, February 2019.

Presentation session of the AMIS research group, Montpellier, France, February 2018.

Visualizing Hierarchical Time Series with a Focus+Context Approach

Les Hivernales Pro du Numérique, Montpellier, France, January 2018.

Sesión de capacitación del VIII Encuentro Internacional de Investigadores del Grupo de Trabajo Nieves y Hielos (GTNH) de América Latina del PHI-UNESCO, Quito, Ecuador, September 2009.