Álvaro Huertas García

Teaching Assistant

Álvaro Huertas Garcia did his undergraduate studies in Biotechnology at Universidad de Salamanca. He then did his MSc in Bioinformatics and Computational Biology at Universidad Autónoma de Madrid. His MSc research project focused on developing an automatic system to counter COVID-19 misinformation and infodemic through semantic similarity. Currently is working on his Ph.D. thesis in Technology and Computational Science for Smart Cities at Universidad Politécnica de Madrid. He is an active member and collaborator in the non-profit organization SpainAI.



  • Caracterización inteligente de la veracidad de información asociada a la COVID-19 (CIVIC)
    Scope: Industrial
    Start date: October 10, 2020
    End date: October 10, 2022



  • Iberian Digital Media Research and Fact-Checking Hub (IBERIFIER)
    Scope: International
    Start date: September 1, 2021
    End date: February 29, 2024



  • Tracking disinformation in Online Social Networks through Deep Natural Language Processing (DisTrack)
    Scope: Industrial
    Start date: November 1, 2021
    End date: December 31, 2022



  • Finalist of Innovation Talent Attraction Awards 2021 Community of Madrid (2021)
    Description:

    The Madrid City Council presents, at La Nave, the awards for the best doctoral theses and master’s theses presented in the last year at Madrid’s universities, in the field of innovation. For the selection of winners, a jury of researchers and university doctors of recognized prestige, and with the support of the CSIC.



2022

Martín, Alejandro; Huertas-Tato, Javier; Huertas-García, Álvaro; Villar-Rodríguez, Guillermo; Camacho, David

FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference Journal Article

In: arXiv:2110.14532 [cs], 2022, (arXiv: 2110.14532).

Abstract | Links | BibTeX

2021

Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification Inproceedings

In: Conference and Labs of the Evaluation Forum (CLEF) Working Notes, pp. 520–530, 2021.

Abstract | Links | BibTeX

Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

Countering Misinformation Through Semantic-Aware Multilingual Models Inproceedings

In: Yin, Hujun; Camacho, David; Tino, Peter; Allmendinger, Richard; Tallón-Ballesteros, Antonio J.; Tang, Ke; Cho, Sung-Bae; Novais, Paulo; Nascimento, Susana (Ed.): Intelligent Data Engineering and Automated Learning – IDEAL 2021, pp. 312–323, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-91608-4.

Abstract | Links | BibTeX

2022

Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David

Exploring Dimensionality Reduction Techniques in Multilingual Transformers Miscellaneous

CoRR, 2022.

Abstract | Links | BibTeX

2021

Huertas-García, Álvaro

Automatic information search for countering covid-19 misinformation through semantic similarity Masters Thesis

Universidad Autónoma de Madrid, 2021.

Abstract | Links | BibTeX

  • I.E.S Sierra Calera
    Type: Invited Talk
    Date: June 20, 2022
    Location: Santa Marta de los Barros, Badajoz
    Description:

    Introduction to Aritficial Intelligence for young students (14-18 years old) in a two hours session.
    Regarding our dissemination and open-science objectives, we have collaborated with High Schools (“Institutos de Educación Secundaria”) giving talks about Aritificial Intelligence and new job trends in the Technology sector.