Prof Alejandro Rodríguez GonzálezMember since: 03/25/2020 - 19:11
Alejandro Rodríguez-González, PhD, is an Associate Professor at the Department of Computer Languages and Systems and Software Engineering at Technical University of Madrid and the principal investigator of the Medical Data Analysis laboratory (MEDAL) at Center for Biomedical Technology. His main research interests include Artificial Intelligence and Biomedical informatics field, with interest on the creation of Medical Diagnosis Systems, medical knowledge representation and the extraction of knowledge from different sources (text, social media, etc.) and the understanding of diseases. He has a degree in Computer Science, a M.Sc in Computer Science and technology in the specialty of Artificial Intelligence, a M.Sc in Engineering Decision systems and a PhD in Computer Science. His research experience includes the publication of near to 100 scientific papers (42 JCR-indexed journal articles and 13 non-indexed journal articles; 54 conference papers; 9 book chapters; 1 edited book). In his academic activities are included the co-organization of special issues in JCR-indexed journals, the co-chairing of international workshops, journal revision (including Journal of Medical Systems, Journal of Biomedical Informatics, PLoS One, Journal of Medical Internet Research, International Journal of Medical Informatics, …) and belonging to several program committee boards. In 2019 he was also the General Chair of 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS 2019). Prof. Rodríguez research experience includes the participation in more than 20 research and innovation projects at national (Spain) and international level (H2020/EIT Health) level. This participation includes being the principal investigator of two projects funded by the Spanish ministry of industry and two funded by H2020 programme. He is currently the coordinator of P4-LUCAT (Personalized medicine for lung cancer treatment: using Big Data-driven approaches for decision support) project, funded under ERA NET on Personalized Medicine JCT 2019 call.