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Professor Guido Zuccon
Professor

Guido Zuccon

Email: 
Phone: 
+61 7 336 58319

Overview

Background

Professor Guido Zuccon is a Professorial Research Fellow at The University of Queensland, Electrical Engineering and Computer Science School, the AI DIrector for the Queensland Digital Health Centre (QDHeC), an Affiliate Professor at the UQ Centre for Health Services Research, Faculty of Medicine, and an Honorary Reader at Strathclyde University (UK). He leads the Information Engineering Lab (ielab), a research team working in Information Retrieval and Health Data Science. He was an ARC DECRA Fellow (2018-2020).

Guido's main research interests are Information Retrieval, Health Search, Formal Models of Search and Search Interaction, and Health Data Science. He has successfully attracted funding from the ARC via an ARC Discovery Early Career Research Award Fellowship and an ARC Discoverty Project. His research has also been funded by Google (Google Research Awards program), Grain Research and Development Corporation (GRDC), Microsoft (Microsoft Azure for Research Award), the CSIRO (research gifts and PhD Students Top-up scholarships), the Australian Academy of Science (FASIC program), the European Science Foundation, and Neusoft Corporation.

Guido has published more than 100 peer-reviewed research articles at conferences and in journals, in information retrieval and health informatics; of these more than 30 are ranked in the top 10% of his filed (field weighted average) and more than 10 are ranked in the top 1%. He has won best papers award at AIRS 2017 (“Automatic Query Generation from Legal Texts for Case Law Retrieval”), CLEF 2016 (“Assessors agreement: A case study across assessor type, payment levels, query variations and relevance dimensions”), ALTA 2015 (“Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction”), and ECIR 2012 (“Top-k retrieval using facility location analysis”). His research on people using search engines to seek health advice on the web has been widely disseminated by the media (190+ national and international newspaper articles, 10+ TV and radio interviews in 2015; see the media page coverage for that project). Guido is the Consumer Health Search task leader for the CLEF eHealth Evaluation Lab, since 2014. He is one of the TREC 2019 Decision Track organisers: this is an international evaluation effort in Information Retrieval that aims to investigate how people use search engines to make decisions (with a focus in 2019 on consumer health search). Guido has provided scientific tutorials to other researchers in his field at ACM SIGIR 2015 and 2018, ACM CIKM 2015, ACM ICTIR 2016, RUSSIR 2018, WSDM 2019.

Guido has reviewed for top journals and conferences in his field, including ACM TOIS, FnTIR, JASIST, IRJ, ACM TIST, ACM TWEB, IP&M, ACM SIGIR,ACM CIKM, ACM ICTIR, ACM WSDM, WWW, ECIR, ACM SIG-PODS. He was awarded the Best Reviewer Award at ECIR 2014. He has served as general chair, program chair, workshop chair and publicity chair for conferences in his research field, including ADCS (either PC Chair or General Chair in 2013, 2014, 2017), AIRS 2015 (General Chair), ECIR 2015 (Workshop Chair) and WSDM 2019 (publicity chair). Dr Zuccon is the Information co-Director for ACM SIGIR and was one of the recognised IR leaders invited to participate to the 3rd Strategic Workshop in Information Retrieval (SWIRL III, 2018).

Before joining the University of Queensland, Guido was a Lecturer (2014-2017) and Senior Lecturer (2017-2018) at the Queensland University of Technology, Australia, and a Post Doctoral Research Fellow at the Australian E-Health Research Centre (AEHRC), CSIRO (2011-2014), Australia. He received a Ph.D. in Computer Science at the University of Glasgow, UK (2012), focusing on Formal Models of Information Retrieval based on Quantum Theory, and a M.Comp.Eng. summa cum laude at the University of Padova, Italy (2007).

Availability

Professor Guido Zuccon is:
Available for supervision

Qualifications

  • Doctor of Philosophy, University of Glasgow

Research interests

  • Formal models of Information Retrieval

    Models of search, information seeking and interactions; Semantic models of search; Exploiting word embeddings and deep learning in Information Retrieval; Evaluation of Information Retrieval (including task-based evaluation)

  • Medical/Health Information Retrieval and Data Science

    Retrieval models and strategies for consumers searching the web for health advise; Retrieval models and strategies for cohort identification for clinical trials from electronic medical records; Retrieval models and strategies for clinical decision support and evidence-based medicine; Models, approaches and strategies for automating systematic reviews, in particular with respect to the search phase health search evaluation; Semantic models for health data science, including automatic and bootstrapped generation and exploitation of health knowledge graph

Works

Search Professor Guido Zuccon’s works on UQ eSpace

207 works between 2008 and 2024

201 - 207 of 207 works

2010

Conference Publication

Using the quantum probability ranking principle to rank interdependent documents

Zuccon, Guido and Azzopardi, Leif (2010). Using the quantum probability ranking principle to rank interdependent documents. 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, United Kingdom, 28-31 March 2010. Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/978-3-642-12275-0_32

Using the quantum probability ranking principle to rank interdependent documents

2010

Book Chapter

University of Glasgow at ImageCLEFPhoto 2009: Optimising Similarity and Diversity in Image Retrieval

Leelanupab, Teerapong, Zuccon, Guido, Goyal, Anuj, Halvey, Martin, Punitha, P. and Jose, Joemon M. (2010). University of Glasgow at ImageCLEFPhoto 2009: Optimising Similarity and Diversity in Image Retrieval. Lecture Notes in Computer Science. (pp. 133-141) Berlin, Heidelberg: Springer. doi: 10.1007/978-3-642-15751-6_14

University of Glasgow at ImageCLEFPhoto 2009: Optimising Similarity and Diversity in Image Retrieval

2010

Conference Publication

When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval

Leelanupab, Teerapong, Zuccon, Guido and Jose, Joemon M. (2010). When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval. 6th Asia Information Retrieval Societies Conference (AIRS 2010), Taipei, Taiwan, 1-3 December 2010. Heidelberg, Germany: Springer . doi: 10.1007/978-3-642-17187-1_15

When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval

2010

Book Chapter

Revisiting sub–topic retrieval in the ImageCLEF 2009 photo retrieval task

Leelanupab, Teerapong, Zuccon, Guido and Jose, Joemon M. (2010). Revisiting sub–topic retrieval in the ImageCLEF 2009 photo retrieval task. ImageCLEF. (pp. 277-294) Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/978-3-642-15181-1_15

Revisiting sub–topic retrieval in the ImageCLEF 2009 photo retrieval task

2009

Conference Publication

Revisiting logical imaging for information retrieval

Zuccon, Guido, Azzopardi, Leif and van Rijsbergen, Cornelis J. (2009). Revisiting logical imaging for information retrieval. 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Boston, MA, United States, 19-23 July 2009 . New York, NY, United States: ACM Press. doi: 10.1145/1571941.1572118

Revisiting logical imaging for information retrieval

2009

Conference Publication

The quantum Probability Ranking Principle for information retrieval

Zuccon, Guido, Azzopardi, Leif A. and van Rijsbergen, Keith (2009). The quantum Probability Ranking Principle for information retrieval. Second International Conference on the Theory of Information Retrieval, ICTIR 2009, Cambridge, United Kingdom, September 2009. Berlin, Germany: Springer. doi: 10.1007/978-3-642-04417-5_21

The quantum Probability Ranking Principle for information retrieval

2008

Conference Publication

A formalization of logical imaging for information retrieval using quantum theory

Zuccon, G., Azzopardi, L. A. and Rijsbergen, C. J. van (2008). A formalization of logical imaging for information retrieval using quantum theory. 19th International Workshop on Database and Expert Systems Applications, Turin, Italy, 1-5 September 2008. Piscataway, NJ, United States: IEEE. doi: 10.1109/dexa.2008.69

A formalization of logical imaging for information retrieval using quantum theory

Funding

Current funding

  • 2024 - 2029
    NASCENT: Translating AI research to clinical practice; National infrastructure for real-time clinical AI trials.
    MRFF - National Critical Infrastructure Initiative
    Open grant
  • 2023 - 2024
    From Search to Synthesis: Automating the Systematic Review Creation Process
    Universities Australia - Germany Joint Research Co-operation Scheme
    Open grant
  • 2022 - 2026
    Digital Infrastructure For improving First Nations Maternal & Child Health
    MRFF Research Data Infrastructure
    Open grant
  • 2021 - 2024
    AI-driven Effective Query Formulation for Better Systematic Reviews
    ARC Discovery Projects
    Open grant
  • 2020 - 2025
    Enhanced data extraction and modelling from electronic medical records and phenotyping for clinical care, and research: Case studies in management of medication stewardship
    Digital Health CRC
    Open grant

Past funding

  • 2022 - 2023
    Federated Online Learning of Neural Rankers
    CCF Baidu Pinecone Fund
    Open grant
  • 2022 - 2023
    SMART Project - Towards Systematic Maturation of Analytics and System Redesign to Transform (SMART) Healthcare and Public Health Research
    Queensland Health
    Open grant
  • 2021 - 2023
    Enhancing the Capability of the Global Policing Database
    Australian Federal Police
    Open grant
  • 2021 - 2023
    Enhancing the Capability of the Global Policing Database
    Australia and New Zealand Society of Evidence Based Policing Inc
    Open grant
  • 2021 - 2022
    Tribu: AI-based Ticketing System
    Innovation Connections
    Open grant
  • 2020 - 2022
    AgAsk: A machine learning generated question-answering conversational agent for data-driven growing decisions.
    Grains Research & Development Corporation
    Open grant
  • 2019 - 2021
    Development of Explainable AI Techniques for Complex Disease Diagnosis using Genomics Data (SPARC grant led by Symbiosis International)
    Symbiosis International Deemed University
    Open grant
  • 2019 - 2022
    Collaborative Lab of Health Informatics with Neusoft
    Neusoft Research of Intelligent Healthcare Technology, Co Ltd
    Open grant
  • 2018 - 2021
    Searching when the stakes are high: better health decisions from Dr Google
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2018 - 2022
    Searching for Better Health
    Google Inc
    Open grant

Supervision

Availability

Professor Guido Zuccon is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Information Retrieval for Precision Medicine

    Principal Advisor

  • Doctor Philosophy

    AI-driven Effective Query Formulation for Better Systematic Reviews

    Principal Advisor

  • Doctor Philosophy

    Data Mining on Many-to-Many Complex Relationships

    Principal Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    AI-driven Effective Query Formulation for Better Systematic Reviews

    Principal Advisor

  • Doctor Philosophy

    AgAsk: A question-answering conversational agent for data-driven growing decisions

    Principal Advisor

  • Doctor Philosophy

    Automated Evaluation of Intelligent Conversational Agents

    Principal Advisor

  • Doctor Philosophy

    Large Language Models for Search

    Principal Advisor

  • Doctor Philosophy

    Summarisation of Healthcare Information

    Principal Advisor

  • Doctor Philosophy

    Development of small animal emergency medicine clinical recommender systems to improve veterinary clinical decision-making and care

    Associate Advisor

    Other advisors: Professor Ricardo Soares Magalhaes

  • Doctor Philosophy

    Exploring Facets of Model Generalizability on Out-of-Distribution Data

    Associate Advisor

    Other advisors: Dr Mahsa Baktashmotlagh

  • Doctor Philosophy

    Sample sub-group algorithm bias analysis for machine learning evaluation in the clinical domain

    Associate Advisor

    Other advisors: Professor Clair Sullivan, Dr Andrew Mallett, Mr Anton Van Der Vegt

Completed supervision

Media

Enquiries

For media enquiries about Professor Guido Zuccon's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au