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