
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
Fields of research
Qualifications
- Doctor of Philosophy, University of Glasgow
Research interests
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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)
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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
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
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
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
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
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
2017
Conference Publication
The influence of pre-processing on the estimation of readability of web documents
Palotti, João Rafael de Moura, Zuccon, Guido and Hanbury, Allan (2017). The influence of pre-processing on the estimation of readability of web documents. 24th ACM International on Conference on Information and Knowledge Management, Melbourne, VIC, Australia, 18-23 October 2015 . New York, NY, United States: ACM Press. doi: 10.1145/2806416.2806613
2017
Conference Publication
Integrating the framing of clinical questions via PICO into the retrieval of medical literature for systematic reviews
Scells, Harrisen, Zuccon, Guido, Koopman, Bevan, Deacon, Anthony, Azzopardi, Leif and Geva, Shlomo (2017). Integrating the framing of clinical questions via PICO into the retrieval of medical literature for systematic reviews. 2017 ACM on Conference on Information and Knowledge Management, Singapore, 6-10 November 2017. New York, NY, USA: ACM Press. doi: 10.1145/3132847.3133080
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
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
2017
Conference Publication
Fixed-cost pooling strategies based on IR evaluation measures
Lipani, Aldo, Palotti, Joao, Lupu, Mihai, Piroi, Florina, Zuccon, Guido and Hanbury, Allan (2017). Fixed-cost pooling strategies based on IR evaluation measures. 39th European Conference on IR Research, Aberdeen, United Kingdom, 8-13 April 2017. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-56608-5_28
2017
Conference Publication
QUT ielab at CLEF 2017 e-Health IR task: knowledge base retrieval for consumer health search
Jimmy, Zuccon, Guido and Koopman, Bevan (2017). QUT ielab at CLEF 2017 e-Health IR task: knowledge base retrieval for consumer health search. 18th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2017, Dublin, Ireland, 11-14 September 2017. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.
2017
Conference Publication
CLEF 2017 eHealth evaluation lab overview
Goeuriot, Lorraine, Kelly, Liadh, Suominen, Hanna, Névéol, Aurélie, Robert, Aude, Kanoulas, Evangelos, Spijker, Rene, Palotti, João and Zuccon, Guido (2017). CLEF 2017 eHealth evaluation lab overview. 8th International Conference of the CLEF Association, Dublin, Ireland, 11-14 September 2017. Cham: Springer International Publishing. doi: 10.1007/978-3-319-65813-1_26
2017
Conference Publication
External knowledge and query strategies in active learning: a study in clinical information extraction
Kholghi, Mahnoosh, Sitbon, Laurianne, Zuccon, Guido and Nguyen, Anthony (2017). External knowledge and query strategies in active learning: a study in clinical information extraction. 24th ACM International Conference on Information and Knowledge Management, Melbourne, VIC, Australia, 18 - 23 October 2015 . New York, NY, United States: ACM Press. doi: 10.1145/2806416.2806550
2017
Conference Publication
CLEF 2017 Task overview: The IR Task at the eHealth Evaluation Lab evaluating retrieval methods for consumer Health search
Palotti, Joao, Zuccon, Guido, Jimmy, Pecina, Pavel, Lupu, Mihai, Goeuriot, Lorraine, Kelly, Liadh and Hanbury, Allan (2017). CLEF 2017 Task overview: The IR Task at the eHealth Evaluation Lab evaluating retrieval methods for consumer Health search. CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, 11-14 September 2017. Aachen, Germany: CEUR-WS.
2017
Conference Publication
The Lucene for Information Access and Retrieval Research (LIARR) workshop at SIGIR 2017
Azzopardi, Leif, Crane, Matt, Fang, Hui, Ingersoll, Grant, Lin, Jimmy, Moshfeghi, Yashar, Scells, Harrisen, Yang, Peilin and Zuccon, Guido (2017). The Lucene for Information Access and Retrieval Research (LIARR) workshop at SIGIR 2017. 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: 10.1145/3077136.3084374
2017
Conference Publication
Fixed budget pooling strategies based on fusion methods
Lipani, Aldo, Lupu, Mihai, Palotti, Joao, Zuccon, Guido and Hanbury, Allan (2017). Fixed budget pooling strategies based on fusion methods. Proceedings of the Symposium on Applied Computing, Marrakech, Morocco, 3-7 April 2017. New York, NY, USA: ACM Press. doi: 10.1145/3019612.3019692
2016
Journal Article
Information retrieval as semantic inference: a Graph Inference model applied to medical search
Koopman, Bevan, Zuccon, Guido, Bruza, Peter, Sitbon, Laurianne and Lawley, Michael (2016). Information retrieval as semantic inference: a Graph Inference model applied to medical search. Information Retrieval Journal, 19 (1-2), 6-37. doi: 10.1007/s10791-015-9268-9
2016
Journal Article
Active learning: a step towards automating medical concept extraction
Kholghi, Mahnoosh, Sitbon, Laurianne, Zuccon, Guido and Nguyen, Anthony (2016). Active learning: a step towards automating medical concept extraction. Journal of the American Medical Informatics Association, 23 (2), 289-296. doi: 10.1093/jamia/ocv069
2016
Conference Publication
Assessors Agreement: A Case Study Across Assessor Type, Payment Levels, Query Variations and Relevance Dimensions
Palotti, Joao, Zuccon, Guido, Bernhardt, Johannes, Hanbury, Allan and Goeuriot, Lorraine (2016). Assessors Agreement: A Case Study Across Assessor Type, Payment Levels, Query Variations and Relevance Dimensions. 7th International Conference of the CLEF Association (CLEF 2016), Evora, Portugal, 5-8 September 2016. Heidelberg, Germany: Springer International Publishing. doi: 10.1007/978-3-319-44564-9_4
2016
Conference Publication
Boosting titles does not generally improve retrieval effectiveness
Jimmy, Zuccon, Guido and Koopman, Bevan (2016). Boosting titles does not generally improve retrieval effectiveness. 21st Australasian Document Computing Symposium, Caulfield, VIC, Australia, 05 - 07 December 2016. New York, NY, United States: ACM Press. doi: 10.1145/3015022.3015028
Funding
Current funding
Supervision
Availability
- Professor Guido Zuccon is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Symptom Checkers, Search Engines and Conversational Agents for Online Health Information Seeking
Principal Advisor
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Doctor Philosophy
AI-driven Effective Query Formulation for Better Systematic Reviews
Principal Advisor
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Doctor Philosophy
AI-driven Automated Systematic Reviews
Principal Advisor
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Doctor Philosophy
Evidence-based Large Language Models as Health Information Mediators
Principal Advisor
Other advisors: Mr Anton Van Der Vegt
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Doctor Philosophy
Summarisation of Healthcare Information
Principal Advisor
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Doctor Philosophy
Advanced Query Representation and Feedback Methods for Neural Information Retrieval
Principal Advisor
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Doctor Philosophy
Data Mining on Many-to-Many Complex Relationships
Principal Advisor
Other advisors: Professor Xue Li
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Doctor Philosophy
Large Language Models for Search
Principal Advisor
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Doctor Philosophy
Optimizing Large Language Models for Healthcare Question Answering
Associate Advisor
Other advisors: Dr Teerapong Leelanupab
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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
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Doctor Philosophy
Human-centered verification of language model outputs
Associate Advisor
Other advisors: Dr Joel Mackenzie, Professor Tim Miller
Completed supervision
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2023
Doctor Philosophy
Teaching Pre-trained Language Models to Rank Effectively, Efficiently, and Robustly
Principal Advisor
Other advisors: Dr Joel Mackenzie
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2023
Doctor Philosophy
Recommending Data Visualizations: Tackling Diversification and Data Quality Challenges
Principal Advisor
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2022
Doctor Philosophy
Electronic Health Record Representation for Similarity Computing
Principal Advisor
Other advisors: Professor Xue Li
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2020
Doctor Philosophy
Search Engines that Help People Make Better Health Decisions
Principal Advisor
Other advisors: Professor Gianluca Demartini
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2020
Doctor Philosophy
Minimal interaction Information Retrieval: A theoretical framework with applications in clinical decision support
Principal Advisor
Other advisors: Professor Xue Li
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2024
Doctor Philosophy
Exploring Facets of Model Generalizability on Out-of-Distribution Data
Associate Advisor
Other advisors: Associate Professor Mahsa Baktashmotlagh
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2024
Doctor Philosophy
A Study of Active Learning for Named Entity Recognition
Associate Advisor
Other advisors: Professor Gianluca Demartini
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Media
Enquiries
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