
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
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
2019
Journal Article
Fixed-cost pooling strategies
Lipani, Aldo, Losada, David E., Zuccon, Guido and Lupu, Mihai (2019). Fixed-cost pooling strategies. IEEE Transactions on Knowledge and Data Engineering, 14 (8) 8868196, 1-1. doi: 10.1109/tkde.2019.2947049
2019
Journal Article
Health cards to assist decision making in consumer health search
Jimmy, , Zuccon, Guido, Demartini, Gianluca and Koopman, Bevan (2019). Health cards to assist decision making in consumer health search. AMIA Annual Symposium. Proceedings, 2019, 1091-1100.
2019
Conference Publication
Building economic models of human computer interaction
Azzopardi, Leif and Zuccon, Guido (2019). Building economic models of human computer interaction. Conference on Human Factors in Computing Systems, Glasgow, Scotland, 4-9 May 2019. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3290607.3298809
2019
Conference Publication
Building economic models and measures of search
Azzopardi, Leif, Thomas, Paul, Moffat, Alistair and Zuccon, Guido (2019). Building economic models and measures of search. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 21-25 July 2019. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3331184.3331379
2019
Conference Publication
WSDM 2019 tutorial on health search (HS2019): a full-day from consumers to clinicians
Koopman, Bevan and Zuccon, Guido (2019). WSDM 2019 tutorial on health search (HS2019): a full-day from consumers to clinicians. 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, Victoria, 11-15 February 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3289600.3291379
2019
Conference Publication
Trectools: an open-source python library for information retrieval practitioners involved in TREC-like campaigns
Palotti, João, Scells, Harrisen and Zuccon, Guido (2019). Trectools: an open-source python library for information retrieval practitioners involved in TREC-like campaigns. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, 21-25 July 2019. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3331184.3331399
2019
Conference Publication
CLEF ehealth 2019 evaluation lab
Kelly, Liadh, Goeuriot, Lorraine, Suominen, Hanna, Neves, Mariana, Kanoulas, Evangelos, Spijker, Rene, Azzopardi, Leif, Li, Dan, Jimmy, Palotti, João and Zuccon, Guido (2019). CLEF ehealth 2019 evaluation lab. 41st European Conference on Information Retrieval, ECIR 2019, Cologne, Germany, 14 - 18 April 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-15719-7_36
2019
Other Outputs
Taskiir_study_data
Zuccon, Guido, Deacon, Anthony and Koopman, Bevan (2019). Taskiir_study_data. The University of Queensland. (Dataset) doi: 10.14264/uql.2019.279
2019
Conference Publication
Ielab at the open-source IR replicability challenge 2019
Scells, Harrisen and Zuccon, Guido (2019). Ielab at the open-source IR replicability challenge 2019. 2019 Open-Source IR Replicability Challenge, OSIRRC 2019, Paris, France, 21-25 July, 2019. CEUR-WS.
2019
Conference Publication
Health card retrieval for consumer health search an empirical investigation of methods
Jimmy,, Zuccon, Guido, Koopman, Bevan and Demartini, Gianluca (2019). Health card retrieval for consumer health search an empirical investigation of methods. CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Beijing, China, November, 2019. New York, New York, USA: Association for Computing Machinery. doi: 10.1145/3357384.3358128
2019
Conference Publication
UQ IElab at TREC 2019 Decision Track
Jimmy, and Zuccon, Guido (2019). UQ IElab at TREC 2019 Decision Track. 28th Text REtrieval Conference, TREC 2019, Gaithersburg, MD, United States, 13-15 November 2019. National Institute of Standards and Technology (NIST).
2019
Conference Publication
Overview of the CLEF eHealth Evaluation Lab 2019
Kelly, Liadh, Suominen, Hanna, Goeuriot, Lorraine, Neves, Mariana, Kanoulas, Evangelos, Li, Dan, Azzopardi, Leif, Spijker, Rene, Zuccon, Guido, Scells, Harrisen and Palotti, João (2019). Overview of the CLEF eHealth Evaluation Lab 2019. 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, 9-12 September 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-28577-7_26
2019
Conference Publication
Automatic boolean query refinement for systematic review literature search
Scells, Harrisen, Zuccon, Guido and Koopman, Bevan (2019). Automatic boolean query refinement for systematic review literature search. The World Wide Web Conference - WWW '19 , San Francisco, CA United States, 13-17 May 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3308558.3313544
2019
Conference Publication
Causality discovery with domain knowledge for drug-drug interactions discovery
Subpaiboonkit, Sitthichoke, Li, Xue, Zhao, Xin, Scells, Harrisen and Zuccon, Guido (2019). Causality discovery with domain knowledge for drug-drug interactions discovery. 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, Dalian, China, 21–23 November 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_46
2019
Conference Publication
Overview of the TREC 2019 Decision Track
Abualsaud, Mustafa, Lioma, Christina, Maistro, Maria, Smucker, Mark D. and Zuccon, Guido (2019). Overview of the TREC 2019 Decision Track. 28th Text REtrieval Conference, TREC 2019, Gaithersburg, MD, United States, 13-15 November 2019. Gaithersburg, MD, United States: National Institute of Standards and Technology.
2019
Conference Publication
Health cards for consumer health search
Jimmy, Koopman, Bevan, Zuccon, Guido and Demartini, Gianluca (2019). Health cards for consumer health search. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, 21-25 July 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3331184.3331194
2019
Conference Publication
Towards automatically classifying case law citation treatment using neural networks
Locke, Daniel and Zuccon, Guido (2019). Towards automatically classifying case law citation treatment using neural networks. ADCS '19: Proceedings of the 24th Australasian Document Computing Symposium, Sydney, NSW, Australia, December, 2019. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3372124.3372128
2018
Journal Article
An analysis of evaluation campaigns in ad-hoc medical information retrieval: CLEF eHealth 2013 and 2014
Goeuriot, Lorraine, Jones, Gareth J. F., Kelly, Liadh, Leveling, Johannes, Lupu, Mihai, Palotti, Joao and Zuccon, Guido (2018). An analysis of evaluation campaigns in ad-hoc medical information retrieval: CLEF eHealth 2013 and 2014. Information Retrieval Journal, 21 (6), 507-540. doi: 10.1007/s10791-018-9331-4
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
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
Symptom Checkers, Search Engines and Conversational Agents for Online Health Information Seeking
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
Advanced Query Representation and Feedback Methods for Neural Information Retrieval
Principal Advisor
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Doctor Philosophy
Large Language Models for Search
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
Summarisation of Healthcare Information
Principal Advisor
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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
Recommending Data Visualizations: Tackling Diversification and Data Quality Challenges
Principal Advisor
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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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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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