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Professor Gianluca Demartini
Professor

Gianluca Demartini

Email: 
Phone: 
+61 7 336 58325

Overview

Background

Dr. Gianluca Demartini is a Professor in Data Science and an ARC Future Fellow at the University of Queensland, Australia. His main research interests include Information Retrieval, Semantic Web, and Human Computation. His research is currently funded by the Australian Research Council, the Swiss National Science Foundation, Meta, Google, and the Wikimedia Foundation. He received Best Paper Awards at the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) in 2023, AAAI Conference on Human Computation and Crowdsourcing (HCOMP) in 2018, at the European Conference on Information Retrieval (ECIR) in 2016 and 2020, and the Best Demo award at the International Semantic Web Conference (ISWC) in 2011. He has published more than 200 peer-reviewed scientific publications including papers at major venues such as WWW, ACM SIGIR, VLDBJ, ISWC, and ACM CHI. He is an ACM Senior Member, ACM Distinguished Speaker, and a TEDx speaker.

Before joining the University of Queensland, he was a Lecturer at the University of Sheffield in UK, post-doctoral researcher at the eXascale Infolab at the University of Fribourg in Switzerland, visiting researcher at UC Berkeley, junior researcher at the L3S Research Center in Germany, and intern at Yahoo! Research in Spain. In 2011, he obtained a Ph.D. in Computer Science at the Leibniz University of Hannover in Germany focusing on Semantic Search.

Availability

Professor Gianluca Demartini is:
Available for supervision
Media expert

Research interests

  • Misinformation

    Understanding how people interact with misinformation on social media and using AI to mitigate its spread online.

  • Crowdsourcing and Human Computation

    Improving the efficiency and effectiveness of human-in-the-loop systems.

  • Big Data Analytics

    Designing algorithms and systems that can scale-out to large amounts of data.

  • AI for Public Good

    Using Artificial Intelligence methods for societal and environmental purposes. For example, stopping the spread of misinformation online and identifying chimpanzee in videos for preservation purposes.

Research impacts

The research led by Prof. Demartini focuses on improving the efficiency and effectiveness of human-in-the-loop artificial intelligence (AI) systems with application of AI for public good. The application domains of his research include text analytics and the intersection between structured (e.g., knowledge graphs) and unstructured (e.g., text) digital content. During his research career he has collaborated with colleagues from several industry and governmental organizations like for example, Facebook, Google, Microsoft, Yahoo!, IBM, SAP, and The National Archives in the UK.

Works

Search Professor Gianluca Demartini’s works on UQ eSpace

209 works between 2006 and 2025

201 - 209 of 209 works

2008

Conference Publication

Social recommendations of content and metadata

Stecher, Rodolfo, Demartini, Gianluca and Niederée, Claudia (2008). Social recommendations of content and metadata. 10th International Conference on Information Integration and Web-based Applications & Services, Linz, Austria, 24 - 26 November 2008. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/1497308.1497329

Social recommendations of content and metadata

2008

Conference Publication

Semantically Enhanced Entity Ranking

Demartini, Gianluca, Firan, Claudiu S., Iofciu, Tereza and Nejdl, Wolfgang (2008). Semantically Enhanced Entity Ranking. International Workshop on Web Information Systems Engineering (WISE 2008), Auckland New Zealand, Sep 01-04, 2008. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-540-85481-4_15

Semantically Enhanced Entity Ranking

2007

Conference Publication

Finding Experts Using Wikipedia

Demartini, Gianluca (2007). Finding Experts Using Wikipedia. "Finding Experts on the Web with Semantics Workshop at ISWC 2007 + ASWC 2007" FEWS 2007, Busan, South Korea, November, 2007..

Finding Experts Using Wikipedia

2007

Conference Publication

Leveraging semantic technologies for enterprise search

Demartini, Gianluca (2007). Leveraging semantic technologies for enterprise search. International Conference on Information and Knowledge Management, Lisbon, Portugal , November 09 - 09, 2007 . New York, NY, USA: ACM. doi: 10.1145/1316874.1316879

Leveraging semantic technologies for enterprise search

2007

Conference Publication

Building a desktop search test-bed

Chernov, Sergey, Serdyukov, Pavel, Chirita, Paul-Alexandru, Demartini, Gianluca and Nejdl, Wolfgang (2007). Building a desktop search test-bed. 29th European Conference in Information Retrieval Research (ECIR 2007), Rome Italy, Apr 02-05, 2007. SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-540-71496-5_69

Building a desktop search test-bed

2006

Conference Publication

L3S research center at TREC 2006 enterprise track

Chernov, Sergey, Demartini, Gianluca and Gaugaz, Julien (2006). L3S research center at TREC 2006 enterprise track. 15th Text REtrieval Conference, TREC 2006, Gaithersburg, MD; United States, November 14-17, 2006.

L3S research center at TREC 2006 enterprise track

2006

Conference Publication

Experiments on average distance measure

Della Mea, Vincenzo, Demartini, Gianluca, Di Gaspero, Luca and Mizzaro, Stefano (2006). Experiments on average distance measure. 28th European Conference on IR research, ECIR 2006, London, United Kingdom, 10-12 April 2006. Berlin, Germany: Springer.

Experiments on average distance measure

2006

Conference Publication

A classification of IR effectiveness metrics

Demartini, Gianluca and Mizzaro, Stefano (2006). A classification of IR effectiveness metrics. European Conference on Information Retrieval ECIR 2006, London, United Kingdom , April 10-12, 2006. Heidelberg, Germany: Springer. doi: 10.1007/11735106_48

A classification of IR effectiveness metrics

2006

Journal Article

Measuring Retrieval Effectiveness with Average Distance Measure (ADM)

Della Mea, Vincenzo, Demartini, Gianluca, Di Gaspero, Luca and Mizzaro, Stefano (2006). Measuring Retrieval Effectiveness with Average Distance Measure (ADM). Information Wissenschaft und Praxis, 57 (8), 433-443.

Measuring Retrieval Effectiveness with Average Distance Measure (ADM)

Funding

Current funding

  • 2025 - 2028
    PBIAS: A Principled Approach to Data Bias Management in Data Pipelines
    ARC Future Fellowships
    Open grant
  • 2025 - 2028
    PBIAS: A Principled Approach to Data Bias Management in Data Pipelines
    ARC Future Fellowships
    Open grant
  • 2022 - 2025
    Large-Scale Political Participation: Issue Identification, Deliberation, and Co-creation (Swiss National Science Foundation grant administered by Universität Zürich)
    University of Zurich
    Open grant
  • 2021 - 2026
    ARC Training Centre for Information Resilience
    ARC Industrial Transformation Training Centres
    Open grant

Past funding

  • 2023 - 2024
    Measuring the Gender Gap: Attribute-based Class Completeness Estimation
    Wikimedia Foundation (US)
    Open grant
  • 2022 - 2024
    Human-in-the-loop Natural Language Processing in GLAM
    Universities Australia - Germany Joint Research Co-operation Scheme
    Open grant
  • 2022 - 2023
    Monitoring and Modeling Human Annotator Behaviors in Mephisto
    Meta AI Mephisto Dataset Collection Tool
    Open grant
  • 2021 - 2023
    Human-in-the-loop Chimpanzee Identification
    Google AI for Social Good
    Open grant
  • 2019 - 2022
    DESCANT : DEtecting Stereotypes in human ComputAtioN Tasks
    CYENS Centre of Excellence
    Open grant
  • 2019 - 2024
    Crowdsourcing an Online Safety Benchmark for Fake News Identification
    Facebook Online Safety Benchmark Research Award
    Open grant
  • 2019 - 2024
    Building crowd sourced data curation processes
    ARC Discovery Projects
    Open grant
  • 2019
    Artificial Intelligence with Humans in the Loop
    UQ Early Career Researcher
    Open grant
  • 2019 - 2022
    Collaborative Lab of Health Informatics with Neusoft
    Neusoft Research of Intelligent Healthcare Technology, Co Ltd
    Open grant

Supervision

Availability

Professor Gianluca Demartini is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Media

Enquiries

Contact Professor Gianluca Demartini directly for media enquiries about:

  • AI
  • AI for Good
  • Artificial Intelligence
  • Bias
  • Big data
  • Crowdsourcing
  • Data Analytics
  • Data Science
  • Disinformation
  • Fairness
  • Fake News
  • Human Computation
  • Knowledge Graphs
  • Misinformation
  • Text Analytics

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au