Overview
Background
Shazia Sadiq FTSE is a Professor of Computer Science at the School of Electrical Engineering and Computer Science, 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 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 Research 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 2021-2026.
Availability
- Professor Shazia Sadiq is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor of Science, Quaid-i-Azam University
- Masters (Coursework), Quaid-i-Azam University
- Masters (Coursework), Asian Institute of Technology Thailand
Research interests
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Data and Information Quality
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Database Mangement
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Business Process Management
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Conceptual Modelling
Works
Search Professor Shazia Sadiq’s works on UQ eSpace
2026
Journal Article
AI assistance in peer feedback provision: pedagogically sound, but minimally adopted
Pozdniakov, Stanislav, Brazil, Jonathan, Banihashem, Seyyed Kazem, Noroozi, Omid, Gašević, Dragan, Sadiq, Shazia and Khosravi, Hassan (2026). AI assistance in peer feedback provision: pedagogically sound, but minimally adopted. Computers and Education, 248 105591, 1-20. doi: 10.1016/j.compedu.2026.105591
2026
Journal Article
From knowledge gaps to learning opportunities: leveraging student questions and dual use of generative AI to support student learning at scale
Pozdniakov, Stanislav, Brazil, Jonathan, Poquet, Oleksandra, Krusche, Stephan, Berrezueta-Guzman, Santiago, Sadiq, Shazia and Khosravi, Hassan (2026). From knowledge gaps to learning opportunities: leveraging student questions and dual use of generative AI to support student learning at scale. Computers and Education: Artificial Intelligence, 10 100509, 100509. doi: 10.1016/j.caeai.2025.100509
2026
Journal Article
Augmenting knowledge tracing through modeling dynamic higher-order concept interactions: A temporal hypergraph memory network
Mohammadi, Mehrnoush, Berahmand, Kamal, Sadiq, Shazia and Khosravi, Hassan (2026). Augmenting knowledge tracing through modeling dynamic higher-order concept interactions: A temporal hypergraph memory network. Computers and Education: Artificial Intelligence, 10 100616, 100616-100616. doi: 10.1016/j.caeai.2026.100616
2026
Conference Publication
DriftNavi: Talk through Your Data Drift with LLMs
Wang, Zixin, Yu, Junliang, Chen, Tong, Luo, Yadan and Sadiq, Shazia (2026). DriftNavi: Talk through Your Data Drift with LLMs. New York, NY, USA: ACM. doi: 10.1145/3774905.3793123
2026
Conference Publication
Towards detecting persuasion on social media: from model development to insights on persuasion strategies
Meguellati, Elyas, Civelli, Stefano, Bernardelle, Pietro, Sadiq, Shazia, King, Irwin and Demartini, Gianluca (2026). Towards detecting persuasion on social media: from model development to insights on persuasion strategies. Twentieth International AAAI Conference on Web and Social Media, Los Angeles, CA, United States, 27-29 May 2026. Washington, DC, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v20i1.42714
2026
Conference Publication
APD: Ad persuasion dashboard — Insights into Facebook political campaign strategies
Meguellati, Elyas, Civelli, Stefano, Sadiq, Shazia and Demartini, Gianluca (2026). APD: Ad persuasion dashboard — Insights into Facebook political campaign strategies. Twentieth International AAAI Conference on Web and Social Media, Los Angeles, CA, United States, 27-29 May 2026. Washington, DC, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v20i1.42807
2026
Journal Article
Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach
Lee, Ge, Huang, Shixun, Bao, Zhifeng, Naumann, Felix, Sadiq, Shazia and Zhao, Yanchang (2026). Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach. Proceedings of the ACM on Management of Data, 4 (3), 1-26. doi: 10.1145/3802108
2026
Other Outputs
Accepted but not trusted: The continuum of legitimation of AI in policing
Pool, Javad, Indulska, Marta, Asadi, Ida, Sadiq, Shazia and Moss, Nick (2026, 04 23). Accepted but not trusted: The continuum of legitimation of AI in policing Policing Insight
2026
Journal Article
Missing value imputation in tabular data lakes unleashed: a hybrid approach
Luo, Feng, Lan, Hai, Luo, Hui, Bao, Zhifeng, Culpepper, J. Shane, Sadiq, Shazia and Wang, Xiaoli (2026). Missing value imputation in tabular data lakes unleashed: a hybrid approach. The VLDB Journal, 35 (2) 11, 1-23. doi: 10.1007/s00778-025-00957-1
2026
Edited Outputs
Data-Centric Support for Dynamic Processes
(2026). Data-Centric Support for Dynamic Processes. Heidelberg, Germany: Springer. doi: 10.1007/978-3-032-17618-9_10
2026
Book Chapter
Towards Cost-Effective Model Update in Online Feature-Incremental Learning
Tan, Zirui, Wen, Hechuan, Sadiq, Shazia and Chen, Tong (2026). Towards Cost-Effective Model Update in Online Feature-Incremental Learning. Lecture Notes in Computer Science. (pp. 3-18) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-95-7394-3_1
2026
Journal Article
Preface
Bork, Dominik, Lukyanenko, Roman, Sadiq, Shazia, Bellatreche, Ladjel and Pastor, Oscar (2026). Preface. Lecture Notes in Computer Science, 16189 LNCS, v-vi.
2026
Edited Outputs
Conceptual Modeling : 44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings
Bork, Dominik, Lukyanenko, Roman, Sadiq, Shazia, Bellatreche, Ladjel and Pastor, Oscar eds. (2026). Conceptual Modeling : 44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings. 44th International Conference, ER 2025, Poitiers, France, October 20–23, 2025, Proceedings, Poitiers, France, 20–23, October 2025. Heidelberg, Germany: Springer. doi: 10.1007/978-3-032-08623-5
2026
Book Chapter
VESPA: Visual Event-Stream Progressive Analytics
Burattin, Andrea, Miksch, Silvia, Sadiq, Shazia, Schulz, Hans-Jörg and Vrotsou, Katerina (2026). VESPA: Visual Event-Stream Progressive Analytics. Lecture Notes in Business Information Processing. (pp. 549-556) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-13426-4_40
2026
Book Chapter
Milana: Bridging Process Mining and Visual Analytics Through Task Classification
Zimmermann, Lisa, Vrotsou, Katerina, Soffer, Pnina, Koytek, Philipp, Weber, Barbara and Sadiq, Shazia (2026). Milana: Bridging Process Mining and Visual Analytics Through Task Classification. Lecture Notes in Business Information Processing. (pp. 557-572) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-13426-4_41
2026
Other Outputs
Industry placement in PhD training: a national study of student and advisor experiences
Sadiq, S., Indulska, M., Jiang, X. and Pool, J. (2026). Industry placement in PhD training: a national study of student and advisor experiences. Brisbane: The University of Queensland. doi: 10.14264/b521c34
2025
Journal Article
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation
Wang, Zongwei, Gao, Min, Yu, Junliang, Sadiq, Shazia, Yin, Hongzhi and Liu, Ling (2025). When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation. ACM Transactions on Information Systems, 44 (2) 3779448, 1-30. doi: 10.1145/3779448
2025
Journal Article
Denoising pretrained black-box models via amplitude-guided phase realignment
Ni, Hongliang, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2025). Denoising pretrained black-box models via amplitude-guided phase realignment. Transactions on Machine Learning Research, December-2025, 1-16.
2025
Conference Publication
Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos
Zhao, Zecheng, Song, Selena, Chen, Tong, Chen, Zhi, Sadiq, Shazia and Luo, Yadan (2025). Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos. 2025 Conference on Multimedia-MM, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758257
2025
Conference Publication
Learning a universal crime predictor with knowledge-guided hypernetworks
Karimova, Fidan, Chen, Tong, Yang, Yu and Sadiq, Shazia (2025). Learning a universal crime predictor with knowledge-guided hypernetworks. 28th European Conference on Artificial Intelligence, Bologna, Italy, 25-30 October 2025. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA251027
Funding
Current funding
Supervision
Availability
- Professor Shazia Sadiq is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
A Process Oriented Approach to Value Creation from Data Products
Principal Advisor
Other advisors: Professor Marta Indulska, Associate Professor Ida Asadi Someh
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Doctor Philosophy
On Understanding the Role of Metadata in Evaluating the Quality of Repurposed Data
Principal Advisor
Other advisors: Professor Marta Indulska, Professor Gianluca Demartini
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Doctor Philosophy
Bias Mitigation in Human in the Loop Decision Systems
Associate Advisor
Other advisors: Professor Gianluca Demartini
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Doctor Philosophy
Value Measurement of Data Products
Associate Advisor
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Doctor Philosophy
The Duality of Persuasion: Between Generation and Detection
Associate Advisor
Other advisors: Professor Gianluca Demartini
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Doctor Philosophy
Expanding Data Sets to Allow Improved Critical Care for Children - Outpatient Risk Prediction
Associate Advisor
Other advisors: Professor Kristen Gibbons, Associate Professor Adam Irwin, Dr Ruihong Qiu, Dr Moloud Abdar, Associate Professor Sen Wang
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Doctor Philosophy
AI-powered actionable Insights and Interventions in Multi-Sourced Educational Data
Associate Advisor
Other advisors: Professor Wojtek Tomaszewski, Dr Hassan Khosravi
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Doctor Philosophy
Data as a Service Architecture
Associate Advisor
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Doctor Philosophy
Designing socio-technical controls for autonomousAI systems: An approach for responsible enterprise adoption
Associate Advisor
Other advisors: Professor Marta Indulska, Associate Professor Ida Asadi Someh
Completed supervision
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2025
Doctor Philosophy
Sensemaking in Integrative Multi-artefact Information Tasks
Principal Advisor
Other advisors: Professor Marta Indulska, Professor Gianluca Demartini
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2021
Master Philosophy
Integrated Information Risk Management Framework
Principal Advisor
Other advisors: Professor Marta Indulska
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2021
Master Philosophy
An exploration of data quality awareness and impacts in healthcare
Principal Advisor
Other advisors: Professor Marta Indulska
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2020
Doctor Philosophy
DEVELOPING A FRAMEWORK OF EFFECTIVE USE OF BIG DATA
Principal Advisor
Other advisors: Professor Marta Indulska
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2017
Doctor Philosophy
Integrated Modeling of Business Processes and Business Rules
Principal Advisor
Other advisors: Professor Marta Indulska
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2016
Doctor Philosophy
A PATTERN BASED APPROACH FOR DATA QUALITY REQUIREMENTS MODELLING
Principal Advisor
Other advisors: Professor Marta Indulska
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2016
Doctor Philosophy
Effect of Using Domain Ontologies to Facilitate Shared Understanding and Cross-Understanding in Groups
Principal Advisor
Other advisors: Professor Marta Indulska
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2016
Master Philosophy
A Data-Driven Approach for Discovery of Data Quality Requirements
Principal Advisor
Other advisors: Professor Marta Indulska
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2015
Doctor Philosophy
A Framework for Socialisation of Work Practice for Improving Business Process Performance
Principal Advisor
Other advisors: Professor Xue Li
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2013
Doctor Philosophy
COMPLIANCE MANAGEMENT ONTOLOGY: ENABLING SHARED UNDERSTANDING IN COMPLIANCE PRACTICE
Principal Advisor
Other advisors: Professor Marta Indulska
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2013
Doctor Philosophy
A Framework for Investigating, Analysing and Recommending eLearning Experience
Principal Advisor
Other advisors: Professor Xue Li
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2012
Doctor Philosophy
Customizing activity behaviour for flexible business process execution
Principal Advisor
Other advisors: Professor Xue Li
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2009
Doctor Philosophy
An Ontology Server for Ontology-based Interoperation of Information Systems
Principal Advisor
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2009
Doctor Philosophy
Framework for Personalized eLearning based on Pedagogical Dependencies
Principal Advisor
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2008
Doctor Philosophy
Design Considerations for Query Dissemination in Wireless Sensor Networks
Principal Advisor
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2008
Doctor Philosophy
On Optimal Path Computations in Intensive Messaging Environments
Principal Advisor
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2026
Doctor Philosophy
Advancing Causal Effect Estimation: From Training Data Expansion to Estimator Design
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2026
Doctor Philosophy
Coordinating Distributed Innovation in Complex Contexts: A Sensemaking Perspective
Associate Advisor
Other advisors: Professor Andrew Burton-Jones
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2024
Doctor Philosophy
Recommending Insightful Actions in Learning Analytics Dashboards
Associate Advisor
Other advisors: Professor Marta Indulska, Dr Hassan Khosravi
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2024
Doctor Philosophy
Automating Expertise in Identifying Structured Data Quality Issues: From Experts, Through Novices, to Machines
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Gianluca Demartini
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2024
Doctor Philosophy
On the Role of Human and Machine Metadata in Crowdsourced Data Annotation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Gianluca Demartini
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2023
Doctor Philosophy
Improving the Work Environment and Data Quality in Micro-Task Crowdsourcing
Associate Advisor
Other advisors: Professor Gianluca Demartini
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2023
Doctor Philosophy
AI and Learning Analytics to Improve Peer Review and Feedback in Learnersourcing
Associate Advisor
Other advisors: Dr Hassan Khosravi
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2022
Doctor Philosophy
Learner Models for Learnersourced Adaptive Educational Systems
Associate Advisor
Other advisors: Dr Hassan Khosravi
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2021
Doctor Philosophy
Intelligence Behind Annotations: A Study of Understanding Interaction Behavior when the Human is in the Loop
Associate Advisor
Other advisors: Professor Gianluca Demartini
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2020
Master Philosophy
Advanced Machine Learning Algorithms for Discrete Datasets
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2018
Doctor Philosophy
Large-scale Content Management and Retrieval for Social Media
Associate Advisor
Other advisors: Professor Helen Huang
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2017
Doctor Philosophy
POINT OF INTERESTS RECOMMENDATION IN LOCATION-BASED SOCIAL NETWORKS
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2017
Master Philosophy
SQL Extensions for Domain Agnostic Data Representational Consistency
Associate Advisor
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2016
Doctor Philosophy
SharkDB: An In-Memory Storage System for Large Scale Trajectory Data Management
Associate Advisor
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2015
Doctor Philosophy
Quality-Aware Trajectory Processing Using Significant Locations
Associate Advisor
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2007
Doctor Philosophy
Business Process Enforcement Using Harmonized Messaging Technology
Associate Advisor
Media
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
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