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Curriculum breve

Brief curriculum

Personal data

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Current professional activity

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Academic background

  • Curso de Introducción a Business Intelligence con herramientas Open Source
    Universidad de Alicante (09/09/2011)
  • Introducción Práctica al Desarrollo de Software Dirigido por Modelos
    Universidad Politécnica de Cartagena (25/07/2011)
  • Máster en Tecnologías de la Informática
    Instituto Universitario de Investigación en Informática (12/07/2010)
  • Ingeniería en Informática
    Universidad de Alicante (07/07/2009)

Alejandro Mate is Associate Professor at the University of Alicante. He holds a Computer Science Engineering degree since 2009 from the University of Alicante, where he also obtained a Msc in Computer Science Technology in 2010 and a PhD in 2013. Since then, he has stayed abroad for over 2 years as part of a Postdoc researcher position in Italy from 2014 to 2016, and worked for Lucentia Lab as Business Intelligence & Big Data architect as part of a Torres Quevedo grant from 2016 to 2017. Throughout his career, he has collaborated with several research groups across the globe, most notably including the Requirements Engineering group led by John Mylopoulos at the University of Trento (Italy), and the Software Engineering group led by Eric Yu at the University of Toronto (Canada). His research has been mainly focused on BI and Analytics, ranging from the definition of strategic plans and Key Performance Indicators to the extraction of insights by means of Dashboards and algorithms. As a result, he has published over 50 papers related to BI and Analytics. Most of these papers are published in high impact international conferences (e.g. ER, CAiSE, RE) and JCR journals (Information Systems, Future Generations, Information & Software Technology). Nevertheless, his career has not been limited to the research field. In the professional department he has developed analytic systems and software for several national and international projects. Among these projects we can find European Research Council grants (Lucretius) and large-scope national projects from private initiatives (LPS-Bigger). The novelty of the algorithms developed granted him the Best Demonstration Award at the IBM conference CASCON, in Canada. Currently, he is working on several projects related to Internet of Things (IoT) combining real-time analytics, machine learning and artificial intelligence.