
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
2021
Conference Publication
Search engines vs. symptom checkers: a comparison of their effectiveness for online health advice
Cross, Sebastian, Mourad, Ahmed, Zuccon, Guido and Koopman, Bevan (2021). Search engines vs. symptom checkers: a comparison of their effectiveness for online health advice. World Wide Web Conference, Ljubljana, Slovenia, 19-23 April 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3442381.3450140
2021
Conference Publication
Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study
Wang, Shuyi, Zhuang, Shengyao and Zuccon, Guido (2021). Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study. 43rd European Conference on IR Research, ECIR 2021, Online, 28 March – 1 April 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-72240-1_10
2021
Conference Publication
Deep query likelihood model for information retrieval
Zhuang, Shengyao, Li, Hang and Zuccon, Guido (2021). Deep query likelihood model for information retrieval. The 43rd European Conference On Information Retrieval (ECIR), Lucca, Italy - online event, March 28–April 1, 2021. Cham, Switzerland: Elsevier. doi: 10.1007/978-3-030-72240-1_49
2021
Conference Publication
User models, metrics and measures of search: a tutorial on the C/W/L evaluation framework
Azzopardi, Leif, Moffat, Alistair, Thomas, Paul and Zuccon, Guido (2021). User models, metrics and measures of search: a tutorial on the C/W/L evaluation framework. 6th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2021, Virtual, 14 - 19 March 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3406522.3446049
2021
Journal Article
Do better search engines really equate to better clinical decisions? If not, why not?
van der Vegt, Anton, Zuccon, Guido and Koopman, Bevan (2021). Do better search engines really equate to better clinical decisions? If not, why not?. Journal of the Association for Information Science and Technology, 72 (2) asi.24398, 141-155. doi: 10.1002/asi.24398
2021
Conference Publication
How do online learning to rank methods adapt to changes of intent?
Zhuang, Shengyao and Zuccon, Guido (2021). How do online learning to rank methods adapt to changes of intent?. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, 11-15 July. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3404835.3462937
2021
Conference Publication
Discriminative features generation for mortality prediction in ICU
Pokharel, Suresh, Shi, Zhenkun, Zuccon, Guido and Li, Yu (2021). Discriminative features generation for mortality prediction in ICU. International Conference on Advanced Data Mining and Applications, Foshan, China, 12-14 November 2020. Cham, Switzerland: Springer . doi: 10.1007/978-3-030-65390-3_25
2021
Conference Publication
TILDE: Term Independent Likelihood moDEl for passage re-ranking
Zhuang, Shengyao and Zuccon, Guido (2021). TILDE: Term Independent Likelihood moDEl for passage re-ranking. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, 11-15 July 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3404835.3462922
2021
Conference Publication
Diagnosis ranking with knowledge graph convolutional networks
Liu, Bing, Zuccon, Guido, Hua, Wen and Chen, Weitong (2021). Diagnosis ranking with knowledge graph convolutional networks. 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28-April 1 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-72113-8_24
2020
Journal Article
A comparison of automatic Boolean query formulation for systematic reviews
Scells, Harrisen, Zuccon, Guido and Koopman, Bevan (2020). A comparison of automatic Boolean query formulation for systematic reviews. Information Retrieval Journal, 24 (1), 3-28. doi: 10.1007/s10791-020-09381-1
2020
Journal Article
How searching under time pressure impacts clinical decision making
Van der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Deacon, Anthony (2020). How searching under time pressure impacts clinical decision making. Journal of the Medical Library Association, 108 (4), 564-573. doi: 10.5195/jmla.2020.915
2020
Journal Article
Temporal tree representation for similarity computation between medical patients
Pokharel, Suresh, Zuccon, Guido, Li, Xue, Utomo, Chandra Prasetyo and Li, Yu (2020). Temporal tree representation for similarity computation between medical patients. Artificial Intelligence in Medicine, 108 101900, 101900. doi: 10.1016/j.artmed.2020.101900
2020
Conference Publication
Systematic review automation tools for end-to-end query formulation
Li, Hang, Scells, Harrisen and Zuccon, Guido (2020). Systematic review automation tools for end-to-end query formulation. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual, July 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3397271.3401402
2020
Journal Article
Learning inter-sentence, disorder-centric, biomedical relationships from medical literature
van der Vegt, Anton H., Zuccon, Guido and Koopman, Bevan (2020). Learning inter-sentence, disorder-centric, biomedical relationships from medical literature. AMIA Annual Symposium. Proceedings, 2019, 1216-1225.
2020
Conference Publication
Quality matters: understanding the impact of incomplete data on visualization recommendation
Mafrur, Rischan, Sharaf, Mohamed A. and Zuccon, Guido (2020). Quality matters: understanding the impact of incomplete data on visualization recommendation. 31st International Conference, DEXA 2020, Bratislava, Czech Republic, 14–17 September, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-59003-1_8
2020
Conference Publication
Counterfactual online learning to rank
Zhuang, Shengyao and Zuccon, Guido (2020). Counterfactual online learning to rank. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-45439-5_28
2020
Conference Publication
Automatic Boolean query formulation for systematic review literature search
Scells, Harrisen, Zuccon, Guido, Koopman, Bevan and Clark, Justin (2020). Automatic Boolean query formulation for systematic review literature search. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380185
2020
Conference Publication
You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviews
Scells, Harrisen, Zuccon, Guido and Koopman, Bevan (2020). You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviews. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14–17 April, 2020 . Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-45439-5_27
2020
Conference Publication
Sampling query variations for learning to rank to improve automatic Boolean query generation in systematic reviews
Scells, Harrisen, Zuccon, Guido, Sharaf, Mohamed A. and Koopman, Bevan (2020). Sampling query variations for learning to rank to improve automatic Boolean query generation in systematic reviews. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380075
2020
Conference Publication
A computational approach for objectively derived systematic review search strategies
Scells, Harrisen, Zuccon, Guido, Koopman, Bevan and Clark, Justin (2020). A computational approach for objectively derived systematic review search strategies. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14–17 April, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-45439-5_26
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
Large Language Models for Search
Principal Advisor
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Doctor Philosophy
Large Language Models for Search
Principal Advisor
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Doctor Philosophy
Summarisation of Healthcare Information
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
Information Retrieval for Precision Medicine
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 Effective Query Formulation for Better Systematic Reviews
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
AI-driven Effective Query Formulation for Better Systematic Reviews
Principal Advisor
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Doctor Philosophy
AgAsk: A question-answering conversational agent for data-driven growing decisions
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
Automated Evaluation of Intelligent Conversational Agents
Principal Advisor
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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
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Doctor Philosophy
Human-centered verification of language model outputs
Associate Advisor
Other advisors: Dr Joel Mackenzie, Professor Tim Miller
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Doctor Philosophy
Exploring Facets of Model Generalizability on Out-of-Distribution Data
Associate Advisor
Other advisors: Associate Professor Mahsa Baktashmotlagh
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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
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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