Research interests

His research lies at the intersection of human computation, user modelling, and machine learning.  With his team he studies and builds novel artificial intelligence methods and tools that combine the cognitive and reasoning abilities of individuals and crowds, with the computational power of machines, and the value of big amounts of heterogeneous data. My scientific work, which consistently resulted in high-quality publications, has always been supported by substantial implementation and demonstration efforts, with emphasis on impact and continuous interaction with stakeholders from both industry and the wider society.

Research output

  1. Improving Worker Engagement Through Conversational Microtask Crowdsourcing

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  2. Unfairness towards subjective opinions in Machine Learning

    Research output: Other contributionScientific

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  1. Best Paper Award at ICWE 2014

    Prize: Prize (including medals and awards)

  2. Best Paper Award at Web Science 2015 Workshop

    Prize: Prize (including medals and awards)

  3. IBM 2017 Faculty Award

    Prize: Fellowship awarded competitively

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