Professor Shazia Sadiq
Professor

Shazia Sadiq

Email: 
Phone: 
+61 7 336 53481

Background

Shazia Sadiq FTSE is a Professor of Computer Science at the School of Information Technology and Electrical Engineering, The University of Queensland. Her research focusses on responsible data management and aims to reduce the socio-technical barriers to data driven transformation, by assisting organisations to create, protect and sustain agile data pipelines. Her work has contributed to advancing knowledge on data quality management, scalable data curation and cleaning, and bias mitigation for advanced opaque analytical models and techniques, and process improvements for data-driven organisations. She is part of the Data Science discipline that has received the highest ranking for excellence in research for Australia in every round of ERA. She has published over 200 peer-reviewed publications and attracted $20million in research funding from the Australian Research Council, industry and various national and international funding bodies. She has recieved numerous research awards including Test-of-Time award for influential work on Business Process Compliance, Best Use of Data award from Queensland Government, Distinguished Researcher Award from Women in Tech, and several best paper awards at international conferences. Shazia has been a devoted lecturer for two decades, and an advocate of learning analytics and AI in Education for improving personalized learning and equitable graduate outcomes. In 2012, she received an institutional award for teaching excellence and in 2016 she spearheaded the highly successful Master of Data Science program at UQ, that is helping overcome skill shortages in Queensland for qualified data scientists. She is currently leading UQ's AI Strategy and Capability Development work as the convenor of UQ's AI Research Network that brings together over 100 interdisciplinary researchers. Shazia is a Fellow of the Australian Academy of Technological Sciences and Engineering, immediate past chair of the National Committee on Information and Communication Sciences at the Australian Academy of Science 2019-2023, a member of The Australian Research Council College of Experts 2018-2021, and Centre Director for the ARC Industry Transformation Training Centre on Information Resilience 2020-2025.

Availability

Professor Shazia Sadiq is:
Available for supervision
Media expert

Fields of research

Information and Computing Sciences

Qualifications

  • Bachelor of Science, Quaid-i-Azam University
  • Masters (Coursework), Quaid-i-Azam University
  • Masters (Coursework), Asian Institute of Technology Thailand

Research interests

  • Data and Information Quality

  • Database Mangement

  • Business Process Management

  • Conceptual Modelling

Search Professor Shazia Sadiq’s works on UQ eSpace

295 works between 1999 and 2025
All (295) Journal Article (85) Book Chapter (12) Conference Publication (185) Book (2) Other Outputs (3) Edited Outputs (8)

1 - 20 of 295 works

2025

Journal Article

Leveraging Artificial Intelligence Technology for Mapping Publications to Sustainable Development Goals

Yin, Hui, Aryani, Amir, Lambert, Gavin, Wu, Zhuochen, Nambiar, Nakul, White, Marcus, Salvador-Carulla, Luis, Sadiq, Shazia, Sojli, Elvira, Boddy, Jennifer, Murray, Greg and Tham, Wing Wah (2025). Leveraging Artificial Intelligence Technology for Mapping Publications to Sustainable Development Goals. Array, 27 100419, 100419-27. doi: 10.1016/j.array.2025.100419

Leveraging Artificial Intelligence Technology for Mapping Publications to Sustainable Development Goals

2025

Conference Publication

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

Wen, Hechuan, Chen, Tong, Ye, Guanhua, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3690624.3709305

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

2025

Conference Publication

LLM-Based Semantic Augmentation for Harmful Content Detection

Meguellati, Elyas, Zeghina, Assaad, Sadiq, Shazia and Demartini, Gianluca (2025). LLM-Based Semantic Augmentation for Harmful Content Detection. Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark, 23-26 June 2025. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v19i1.35868

LLM-Based Semantic Augmentation for Harmful Content Detection

2025

Journal Article

Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques

Lahza, Hatim Fareed, Demartini, Gianluca, Noroozi, Omid, Gašević, Dragan, Sadiq, Shazia and Khosravi, Hassan (2025). Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques. Computers and Education, 230 105260, 1-22. doi: 10.1016/j.compedu.2025.105260

Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques

2025

Conference Publication

Let the Augmentation Path Speak

Ji, Daomin, Luo, Hui, Bao, Zhifeng, Sadiq, Shazia and Culpepper, J. Shane (2025). Let the Augmentation Path Speak. New York, NY, USA: ACM. doi: 10.1145/3701716.3715183

Let the Augmentation Path Speak

2025

Conference Publication

Are Large Language Models Good Data Preprocessors?

Meguellati, Elyas, Pratama, Nardiena, Sadiq, Shazia and Demartini, Gianluca (2025). Are Large Language Models Good Data Preprocessors?. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3717568

Are Large Language Models Good Data Preprocessors?

2025

Conference Publication

BiasNavi: LLM-Empowered Data Bias Management

Yu, Junliang, Huynh, Jay Thai Duong, Fan, Shaoyang, Demartini, Gianluca, Chen, Tong, Yin, Hongzhi and Sadiq, Shazia (2025). BiasNavi: LLM-Empowered Data Bias Management. New York, NY, USA: ACM. doi: 10.1145/3701716.3715169

BiasNavi: LLM-Empowered Data Bias Management

2025

Journal Article

Artificial Intelligence in Multimodal Learning Analytics: A Systematic Literature Review

Mohammadi, Mehrnoush, Tajik, Elham, Martinez-Maldonado, Roberto, Sadiq, Shazia, Tomaszewski, Wojtek and Khosravi, Hassan (2025). Artificial Intelligence in Multimodal Learning Analytics: A Systematic Literature Review. Computers and Education: Artificial Intelligence, 8 100426, 100426. doi: 10.1016/j.caeai.2025.100426

Artificial Intelligence in Multimodal Learning Analytics: A Systematic Literature Review

2025

Journal Article

AI-assisted co-creation: bridging skill gaps in student-generated content

Pozdniakov, Stanislav, Brazil, Jonathan, Mohammadi, Mehrnoush, Dollinger, Mollie, Sadiq, Shazia and Khosravi, Hassan (2025). AI-assisted co-creation: bridging skill gaps in student-generated content. Journal of Learning Analytics, 12 (1), 129-151. doi: 10.18608/jla.2025.8601

AI-assisted co-creation: bridging skill gaps in student-generated content

2025

Conference Publication

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective

Wang, Zongwei, Yu, Junliang, Chen, Tong, Yin, Hongzhi, Sadiq, Shazia and Gao, Min (2025). Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. 18th International Conference on Web Search and Data Mining-WSDM, Hannover Germany, Mar 10-14, 2025. New York, NY, USA: ACM. doi: 10.1145/3701551.3703484

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective

2025

Journal Article

Solution of fractional Sturm–Liouville problems by generalized polynomials

Sadiq, Shazia and Rehman, Mujeeb ur (2025). Solution of fractional Sturm–Liouville problems by generalized polynomials. Engineering Computations, 42 (2), 488-517. doi: 10.1108/ec-04-2024-0356

Solution of fractional Sturm–Liouville problems by generalized polynomials

2024

Conference Publication

EMIT - event-based masked auto encoding for irregular time series

Patel, Hrishikesh, Qiu, Ruihong, Irwin, Adam, Sadiq, Shazia and Wang, Sen (2024). EMIT - event-based masked auto encoding for irregular time series. 2024 IEEE International Conference on Data Mining (ICDM), Abu Dhabi, United Arab Emirates, 9-12 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm59182.2024.00044

EMIT - event-based masked auto encoding for irregular time series

2024

Journal Article

Large language models meet user interfaces: the case of provisioning feedback

Pozdniakov, Stanislav, Brazil, Jonathan, Abdi, Solmaz, Bakharia, Aneesha, Sadiq, Shazia, Gašević, Dragan, Denny, Paul and Khosravi, Hassan (2024). Large language models meet user interfaces: the case of provisioning feedback. Computers and Education: Artificial Intelligence, 7 100289, 100289. doi: 10.1016/j.caeai.2024.100289

Large language models meet user interfaces: the case of provisioning feedback

2024

Conference Publication

Influence of metadata on quality evaluation of unstructured information artefacts

Zhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2024). Influence of metadata on quality evaluation of unstructured information artefacts. The Australasian Conference on Information Systems (ACIS 2024), Canberra, ACT Australia, 4-6 December, 2024. AIS Electronic Library.

Influence of metadata on quality evaluation of unstructured information artefacts

2024

Journal Article

Integrating design thinking and agile approaches in analytics development: the case of Aginic

Brea, Edgar, Someh, Ida, Freya, Emma, Thebault, Brett and Sadiq, Shazia (2024). Integrating design thinking and agile approaches in analytics development: the case of Aginic. Journal of Information Technology Teaching Cases, 14 (2), 227-240. doi: 10.1177/20438869231178035

Integrating design thinking and agile approaches in analytics development: the case of Aginic

2024

Journal Article

Numerical technique based on operational matrices of fractional integration using ψ‐shifted Chebyshev polynomials

Sadiq, Shazia and ur Rehman, Mujeeb (2024). Numerical technique based on operational matrices of fractional integration using ψ‐shifted Chebyshev polynomials. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 37 (6) e3314. doi: 10.1002/jnm.3314

Numerical technique based on operational matrices of fractional integration using ψ‐shifted Chebyshev polynomials

2024

Journal Article

Large language models and generative AI in telehealth: a responsible use lens

Pool, Javad, Indulska, Marta and Sadiq, Shazia (2024). Large language models and generative AI in telehealth: a responsible use lens. Journal of the American Medical Informatics Association, 31 (9), 2125-2136. doi: 10.1093/jamia/ocae035

Large language models and generative AI in telehealth: a responsible use lens

2024

Conference Publication

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

Wang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin and Sadiq, Shazia (2024). Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671795

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

2024

Conference Publication

Fairness without sensitive attributes via knowledge sharing

Ni, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014

Fairness without sensitive attributes via knowledge sharing

2024

Conference Publication

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

Xu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the Role of Large Language Models in Crowdsourcing Misinformation Assessment. Eighteenth International AAAI Conference on Web and Social Media, Buffalo, NY United States, 3-6 June 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v18i1.31417

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

Current funding

  • 2024 - 2027
    Embracing Changes for Responsive Video-sharing Services
    ARC Discovery Projects
    Open grant
  • 2021 - 2026
    ARC Training Centre for Information Resilience
    ARC Industrial Transformation Training Centres
    Open grant
  • 2020 - 2025
    Making Spatiotemporal Data More Useful: An Entity Linking Approach
    ARC Discovery Projects
    Open grant

Past funding

  • 2022 - 2023
    Monitoring and Modeling Human Annotator Behaviors in Mephisto
    Meta AI Mephisto Dataset Collection Tool
    Open grant
  • 2019 - 2024
    Building crowd sourced data curation processes
    ARC Discovery Projects
    Open grant
  • 2017 - 2020
    Managing Data with High Redundancy and Low Value Density
    ARC Discovery Projects
    Open grant
  • 2014 - 2017
    In-Memory Moving Objects Analytics for Real-Time Business Applications
    ARC Linkage Projects
    Open grant
  • 2014 - 2016
    Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems
    ARC Discovery Projects
    Open grant
  • 2012 - 2014
    In-memory mobile data analytics for real-time enterprise applications
    UQ FirstLink Scheme
    Open grant
  • 2012 - 2014
    Detection of Location Significance from Quality Enhanced Trajectory Data
    ARC Discovery Projects
    Open grant
  • 2011 - 2013
    QualA-D: A Quality Aware Query Engine for Next Generation Data Integration Systems
    ARC Discovery Projects
    Open grant
  • 2009 - 2010
    Go8 Australia - Germany Joint Research Co-operation Scheme: Dynamically composed compliant processes using semantic web services
    Open grant
  • 2008 - 2011
    Data Enhancement, Integration and Access Services for Smarter, Collaborative and Adaptive Whole-of Water Cycle Management
    ARC Linkage Projects
    Open grant
  • 2008 - 2009
    Curriculum renewal in postgraduate information technology education: a response to growing service sector dominance
    ALTC Priority Projects
    Open grant
  • 2008 - 2010
    Learning Database Management: Engaging students with an e-Learning tool suite and relevant data sets
    UQ Teaching & Learning Strategic Grants
    Open grant
  • 2007 - 2009
    Approaching the limits in Data Quality Management
    ARC Discovery Projects
    Open grant
  • 2005 - 2007
    A Formal Approach to Resource Allocation in Service Oriented Marketplaces
    ARC Discovery Projects
    Open grant
  • 2004 - 2009
    ARC Research Network in Enterprise Information Infrastructure (EII)
    ARC Research Networks
    Open grant
  • 2004 - 2006
    A New Formal Framework for Service Oriented Process Communication
    ARC Discovery Projects
    Open grant
  • 2004
    ARC Research Network in Enterprise Information Infrastructure (EII)
    ARC Seed Funding for Research Networks
    Open grant
  • 2003 - 2006
    Harmonized Messaging - A New Foundation for Automated Process Communication
    ARC Linkage Projects
    Open grant
  • 2001
    Dynamic building of workflows for flexible learning
    UQ New Staff Research Start-Up Fund
    Open grant

Availability

Professor Shazia Sadiq is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

Completed supervision

Enquiries

Contact Professor Shazia Sadiq directly for media enquiries about:

  • Business process management - and IT
  • Data quality management
  • Databases
  • Governance - IT
  • Information systems
  • Information technology
  • IT - risk and compliance
  • Risk and compliance - IT

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au