Research interests

 

My research lies at the intersection of human computation, user modeling, and web information retrieval. The long-term objective of my research program is to define the foundational theory for hybrid human and automatic data processing.

 

I study and build novel Crowd Computing methods and tools that combine the cognitive and reasoning abilities of individuals and crowds, with the computational powers 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. Chatterbox: Conversational Interfaces for Microtask Crowdsourcing

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

  2. ST-Sem: A Multimodal Method for Points-of-Interest Classification Using Street-Level Imagery

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

  3. Approaches for Dialog Management in Conversational Agents

    Research output: Contribution to journalArticleScientificpeer-review

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Prizes

  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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