Shazia Sadiq

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. Data and Information Quality, Database Mangement, Business Process Management, Conceptual Modelling

[2026] Efficient distinctiveness maximization in datasets assemblage: from homogeneous to heterogeneous datasets [2026] RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents [2026] AI assistance in peer feedback provision: pedagogically sound, but minimally adopted [2026] From knowledge gaps to learning opportunities: leveraging student questions and dual use of generative AI to support student learning at scale [2026] Augmenting knowledge tracing through modeling dynamic higher-order concept interactions: A temporal hypergraph memory network [2026] DriftNavi: Talk through Your Data Drift with LLMs [2026] Towards detecting persuasion on social media: from model development to insights on persuasion strategies [2026] APD: Ad persuasion dashboard — Insight