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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

121 - 140 of 207 works

2018

Journal Article

The impact of a search engine on clinical decisions under time and system effectiveness constraints: research protocol

van der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Deacon, Anthony (2018). The impact of a search engine on clinical decisions under time and system effectiveness constraints: research protocol. JMIR Research Protocols, 8 (5) e12803, e12803-213. doi: 10.2196/12803

The impact of a search engine on clinical decisions under time and system effectiveness constraints: research protocol

2018

Journal Article

Task-oriented search for evidence-based medicine

Koopman, Bevan, Russell, Jack and Zuccon, Guido (2018). Task-oriented search for evidence-based medicine. International Journal on Digital Libraries, 19 (2-3), 217-229. doi: 10.1007/s00799-017-0209-7

Task-oriented search for evidence-based medicine

2018

Journal Article

Extracting cancer mortality statistics from death certificates: a hybrid machine learning and rule-based approach for common and rare cancers

Koopman, Bevan, Zuccon, Guido, Nguyen, Anthony, Bergheim, Anton and Grayson, Narelle (2018). Extracting cancer mortality statistics from death certificates: a hybrid machine learning and rule-based approach for common and rare cancers. Artificial Intelligence in Medicine, 89, 1-9. doi: 10.1016/j.artmed.2018.04.011

Extracting cancer mortality statistics from death certificates: a hybrid machine learning and rule-based approach for common and rare cancers

2018

Journal Article

A task completion framework to support single-interaction IR research

van der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Bruza, Peter (2018). A task completion framework to support single-interaction IR research. Journal of Documentation, 74 (2), 289-308. doi: 10.1108/jd-09-2017-0128

A task completion framework to support single-interaction IR research

2018

Book Chapter

Economic models of interaction

Azzopardi, Leif and Zuccon, Guido (2018). Economic models of interaction. Computational interaction. (pp. 311-339) Oxford, United Kingdom: Oxford University Press. doi: 10.1093/oso/9780198799603.003.0012

Economic models of interaction

2018

Conference Publication

Linking patents to knowledge sources: a context matching technique using automatic patent classification

Seneviratne, Dilesha, Geva, Shlomo, Zuccon, Guido, Ferraro, Gabriela and Meireles, Magali (2018). Linking patents to knowledge sources: a context matching technique using automatic patent classification. 23rd Australasian Document Computing Symposium, ADCS 2018, Dunedin, New Zealand, 11-12 December 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3291992.3291994

Linking patents to knowledge sources: a context matching technique using automatic patent classification

2018

Conference Publication

Generating better queries for systematic reviews

Scells, Harrisen and Zuccon, Guido (2018). Generating better queries for systematic reviews. 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: ACM Press. doi: 10.1145/3209978.3210020

Generating better queries for systematic reviews

2018

Conference Publication

An information retrieval experiment framework for domain specific applications

Scells, Harrisen, Locke, Daniel and Zuccon, Guido (2018). An information retrieval experiment framework for domain specific applications. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: ACM Press. doi: 10.1145/3209978.3210167

An information retrieval experiment framework for domain specific applications

2018

Conference Publication

Overview of the CLEF eHealth evaluation lab 2018

Suominen, Hanna, Kelly, Liadh, Goeuriot, Lorraine, Névéol, Aurélie, Ramadier, Lionel, Robert, Aude, Kanoulas, Evangelos, Spijker, Rene, Azzopardi, Leif, Li, Dan, Jimmy, Palotti, João and Zuccon, Guido (2018). Overview of the CLEF eHealth evaluation lab 2018. 9th International Conference of the Conference and Labs of the Evaluation Forum (CLEF 2018), Avignon, France, 10-14 September 2018. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-98932-7_26

Overview of the CLEF eHealth evaluation lab 2018

2018

Conference Publication

Searchrefiner: a query visualisation and understanding tool for systematic reviews

Scells, Harrisen and Zuccon, Guido (2018). Searchrefiner: a query visualisation and understanding tool for systematic reviews. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, 22-26 October 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3269206.3269215

Searchrefiner: a query visualisation and understanding tool for systematic reviews

2018

Conference Publication

Choices in knowledge-base retrieval for consumer health search

Jimmy,, Zuccon, Guido and Koopman, Bevan (2018). Choices in knowledge-base retrieval for consumer health search. ECIR: European Conference on Information Retrieval, Grenoble, France, 26–29 March 2018. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-76941-7_6

Choices in knowledge-base retrieval for consumer health search

2018

Conference Publication

On the volatility of commercial search engines and its impact on information retrieval research

Jimmy, Zuccon, Guido and Demartini, Gianluca (2018). On the volatility of commercial search engines and its impact on information retrieval research. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210088

On the volatility of commercial search engines and its impact on information retrieval research

2018

Conference Publication

MM: a new framework for multidimensional evaluation of search engines

Palotti, Joao, Zuccon, Guido and Hanbury, Allan (2018). MM: a new framework for multidimensional evaluation of search engines. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, 22-26 October 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3269206.3269261

MM: a new framework for multidimensional evaluation of search engines

2018

Conference Publication

SIGIR 2018 tutorial on health search (HS2018): a full-day from consumers to clinicians

Zuccon, Guido and Koopman, Bevan (2018). SIGIR 2018 tutorial on health search (HS2018): a full-day from consumers to clinicians. 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, Ann Arbor, MI, USA, 8-12 July 2018. New York, NY, USA: ACM Press. doi: 10.1145/3209978.3210188

SIGIR 2018 tutorial on health search (HS2018): a full-day from consumers to clinicians

2018

Conference Publication

Query variation performance prediction for systematic reviews

Scells, Harrisen, Azzopardi, Leif, Zuccon, Guido and Koopman, Bevan (2018). Query variation performance prediction for systematic reviews. The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, Ann Arbor, MI, USA, 8-12 July 2018. New York, NY, USA: ACM Press. doi: 10.1145/3209978.3210078

Query variation performance prediction for systematic reviews

2017

Conference Publication

Automatic query generation from legal texts for case law retrieval

Locke, Daniel, Zuccon, Guido and Scells, Harrisen (2017). Automatic query generation from legal texts for case law retrieval. 13th Asia Information Retrieval Societies Conference, AIRS 2017, Jeju Island, South Korea, 22-24 November, 2017. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-70145-5_14

Automatic query generation from legal texts for case law retrieval

2017

Journal Article

Active learning reduces annotation time for clinical concept extraction

Kholghi, Mahnoosh, Sitbon, Laurianne, Zuccon, Guido and Nguyen, Anthony (2017). Active learning reduces annotation time for clinical concept extraction. International Journal of Medical Informatics, 106, 25-31. doi: 10.1016/j.ijmedinf.2017.08.001

Active learning reduces annotation time for clinical concept extraction

2017

Journal Article

Clinical information extraction using small data: an active learning approach based on sequence representations and word embeddings

Kholghi, Mahnoosh, De Vine, Lance, Sitbon, Laurianne, Zuccon, Guido and Nguyen, Anthony (2017). Clinical information extraction using small data: an active learning approach based on sequence representations and word embeddings. Journal of the Association for Information Science and Technology, 68 (11), 2543-2556. doi: 10.1002/asi.23936

Clinical information extraction using small data: an active learning approach based on sequence representations and word embeddings

2017

Conference Publication

A test collection for evaluating retrieval of studies for inclusion in systematic reviews

Scells, Harrisen, Zuccon, Guido, Koopman, Bevan, Deacon, Anthony, Azzopardi, Leif and Geva, Shlomo (2017). A test collection for evaluating retrieval of studies for inclusion in systematic reviews. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Tokyo, Japan, 7-11 August 2017. New York, NY, USA: ACM Press. doi: 10.1145/3077136.3080707

A test collection for evaluating retrieval of studies for inclusion in systematic reviews

2017

Conference Publication

SIGIR 2017 tutorial on health search (HS2017): a full-day from consumers to clinicians

Zuccon, Guido and Koopman, Bevan (2017). SIGIR 2017 tutorial on health search (HS2017): a full-day from consumers to clinicians. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Tokyo, Japan, 7-11 April 2017. New York, New York, USA: ACM Press. doi: 10.1145/3077136.3082061

SIGIR 2017 tutorial on health search (HS2017): a full-day from consumers to clinicians

Funding

Current funding

  • 2024 - 2029
    NASCENT: National infrastructure for real-time clinical AI trials
    MRFF - National Critical Infrastructure Initiative
    Open grant
  • 2022 - 2026
    Digital Infrastructure For improving First Nations Maternal & Child Health
    MRFF Research Data Infrastructure
    Open grant

Past funding

  • 2023 - 2024
    From Search to Synthesis: Automating the Systematic Review Creation Process
    Universities Australia - Germany Joint Research Co-operation Scheme
    Open grant
  • 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 - 2024
    AI-driven Effective Query Formulation for Better Systematic Reviews
    ARC Discovery Projects
    Open grant
  • 2021 - 2022
    Tribu: AI-based Ticketing System
    Innovation Connections
    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
  • 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

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

    Principal Advisor

  • Doctor Philosophy

    Evidence-based Large Language Models as Health Information Mediators

    Principal Advisor

    Other advisors: Mr Anton Van Der Vegt

  • Doctor Philosophy

    Automated Evaluation of Intelligent Conversational Agents

    Principal Advisor

  • Doctor Philosophy

    Large Language Models for Search

    Principal Advisor

  • Doctor Philosophy

    Large Language Models for Search

    Principal Advisor

  • Doctor Philosophy

    Summarisation of Healthcare Information

    Principal Advisor

  • Doctor Philosophy

    Data Mining on Many-to-Many Complex Relationships

    Principal Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Information Retrieval for Precision Medicine

    Principal Advisor

  • Doctor Philosophy

    AI-driven Effective Query Formulation for Better Systematic Reviews

    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

    Human-centered verification of language model outputs

    Associate Advisor

    Other advisors: Dr Joel Mackenzie, Professor Tim Miller

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Associate Professor 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, Professor Emma McBryde

  • 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

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