Overview
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 over $10million in research funding from the Australian Research Council, industry and various national and international funding bodies. 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. 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
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
2020
Conference Publication
Modelling learners in crowdsourcing educational systems
Abdi, Solmaz, Khosravi, Hassan and Sadiq, Shazia (2020). Modelling learners in crowdsourcing educational systems. AIED: International Conference on Artificial Intelligence in Education, Ifrane, Morocco, 6-10 July 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-52240-7_1
2020
Conference Publication
Building data curation processes with crowd intelligence
Chen, Tianwa, Han, Lei, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). Building data curation processes with crowd intelligence. CAiSE Forum 2020: Advanced Information Systems Engineering, Grenoble, France, 8 – 12 June 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58135-0_3
2020
Conference Publication
Development and adoption of an adaptive learning system: reflections and lessons learned
Khosravi, Hassan, Sadiq, Shazia and Gasevic, Dragan (2020). Development and adoption of an adaptive learning system: reflections and lessons learned. SIGCSE '20: The 51st ACM Technical Symposium on Computer Science Education, Portland, OR USA, March 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3328778.3366900
2020
Conference Publication
On understanding data worker interaction behaviors
Han, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). On understanding data worker interaction behaviors. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual Event China, July 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401059
2020
Conference Publication
Towards a software architecture for neurophysiological experiments
Ioannou, Constantina, Kindler, Ekkart, Bækgaard, Per, Sadiq, Shazia and Weber, Barbara (2020). Towards a software architecture for neurophysiological experiments. NeuroIS Retreat, Vienna, Australia, 4-6 June 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-28144-1_17
2020
Conference Publication
Utilising learnersourcing to inform design loop adaptivity
Darvishi, Ali, Khosravi, Hassan and Sadiq, Shazia (2020). Utilising learnersourcing to inform design loop adaptivity. 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Heidelberg, Germany, 14 – 18 September 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-57717-9_24
2019
Conference Publication
Compliance centric data quality management – the banking and financial industry perspective
Khan, Faisal, Indulska, Marta and Sadiq, Shazia (2019). Compliance centric data quality management – the banking and financial industry perspective. ACIS 2019, Perth, WA, Australia, 9-11 December 2019. Perth, WA, Australia: ACIS.
2019
Journal Article
Discovering data quality problems: The case of repurposed data
Zhang, Ruojing, Indulska, Marta and Sadiq, Shazia (2019). Discovering data quality problems: The case of repurposed data. Business and Information Systems Engineering, 61 (5), 575-593. doi: 10.1007/s12599-019-00608-0
2019
Journal Article
Leveraging multi-aspect time-related influence in location recommendation
Hosseini, Saeid, Yin, Hongzhi, Zhou, Xiaofang, Sadiq, Shazia, Kangavari, Mohammad Reza and Cheung, Ngai-Man (2019). Leveraging multi-aspect time-related influence in location recommendation. World Wide Web, 22 (3), 1001-1028. doi: 10.1007/s11280-018-0573-2
2019
Journal Article
Factors influencing effective use of big data: A research framework
Sejahtera Surbakti, Feliks P. , Wang, Wei, Indulska, Marta and Sadiq, Shazia (2019). Factors influencing effective use of big data: A research framework. Information and Management, 57 (1) 103146, 103146. doi: 10.1016/j.im.2019.02.001
2019
Conference Publication
Context-aware attention-based data augmentation for POI recommendation
Li, Yang, Luo, Yadan, Zhang, Zheng, Sadiq, Shazia and Cui, Peng (2019). Context-aware attention-based data augmentation for POI recommendation. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), Macao, 8-12 April 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDEW.2019.00-14
2019
Conference Publication
Tracking user behaviours: Laboratory-based and in-the-wild user studies
Demartini, Gianluca and Sadiq, Shazia (2019). Tracking user behaviours: Laboratory-based and in-the-wild user studies. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-18590-9a
2019
Conference Publication
Semi-supervised Clustering with Deep Metric Learning
Li, Xiaocui, Yin, Hongzhi, Zhou, Ke, Chen, Hongxu, Sadiq, Shazia and Zhou, Xiaofang (2019). Semi-supervised Clustering with Deep Metric Learning. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-15 April 2019. Heidelberg, Germany: Springer . doi: 10.1007/978-3-030-18590-9_50
2019
Conference Publication
Collaborative generative adversarial network for recommendation systems
Tong, Yuzhen, Luo, Yadan, Zhang, Zheng, Sadiq, Shazia and Cui, Peng (2019). Collaborative generative adversarial network for recommendation systems. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), Macao, 8-12 April 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDEW.2019.00-16
2019
Conference Publication
Responsible process mining - a data quality perspective
Wynn, Moe Thandar and Sadiq, Shazia (2019). Responsible process mining - a data quality perspective. International Conference on Business Process Management, Vienna, Australia, 1-6 September 2019. Cham, Switzerland: Springer . doi: 10.1007/978-3-030-26619-6_2
2019
Conference Publication
Perceptions and Challenges of EHR Clinical Data Quality
Downey, Shane, Indulska, Marta and Sadiq, Shazia (2019). Perceptions and Challenges of EHR Clinical Data Quality. 30th Australasian Conference on Information Systems ACIS 2019, Perth, WA Australia, 9-11 December 2019. Atlanta, GA United States: Association for Information Systems.
2019
Conference Publication
A multivariate ELO-based learner model for adaptive educational systems
Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Gasevic, Dragan (2019). A multivariate ELO-based learner model for adaptive educational systems. 12th International Conference on Educational Data Mining, Montreal, Canada, July 2-5, 2019. International Educational Data Mining Society.
2018
Journal Article
Special Issue of DASFAA 2018
Sadiq, Shazia and Li, Jianxin (2018). Special Issue of DASFAA 2018. Data Science and Engineering, 3 (4), 291-292. doi: 10.1007/s41019-018-0083-3
2018
Journal Article
A data quality control method for seafloor observatories: the application of observed time series data in the east China sea
Zhou, Yusheng, Qin, Rufu, Xu, Huiping, Sadiq, Shazia and Yu, Yang (2018). A data quality control method for seafloor observatories: the application of observed time series data in the east China sea. Sensors, 18 (8) 2628, 2628. doi: 10.3390/s18082628
2018
Conference Publication
Business process and rule integration approaches - An empirical analysis
Chen, Tianwa, Wang, Wei, Indulska, Marta and Sadiq, Shazia (2018). Business process and rule integration approaches - An empirical analysis. 16th International Conference on Business Process Management Forum, BPM Forum 2018, Sydney, NSW, 9-14 September 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-98651-7_3
Funding
Current funding
Supervision
Availability
- Professor Shazia Sadiq is:
- Available for supervision
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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, Dr Ida Asadi Someh
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Doctor Philosophy
Crowd Sourced Data Curation
Principal Advisor
Other advisors: Professor Marta Indulska, Associate Professor Gianluca Demartini
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Principal Advisor
Other advisors: Professor Marta Indulska, Associate Professor Gianluca Demartini
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Doctor Philosophy
Causal Analysis for Decision Support in Public Health
Associate Advisor
Other advisors: Professor Hongzhi Yin, Dr Rocky Chen
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Doctor Philosophy
Bias Mitigation in Human in the Loop Decision Systems
Associate Advisor
Other advisors: Associate Professor Gianluca Demartini
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Doctor Philosophy
Coordinating for Innovation in Ecosystems: A Sensemaking Perspective
Associate Advisor
Other advisors: Professor Andrew Burton-Jones
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Doctor Philosophy
Value Measurement of Data Products
Associate Advisor
Other advisors: Dr Rocky Chen
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Doctor Philosophy
Customer Data Stories
Associate Advisor
Other advisors: Associate 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: Associate Professor Adam Irwin, Associate Professor Sen Wang
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Doctor Philosophy
On-demand Dataset Builder
Associate Advisor
Other advisors: Professor Wojtek Tomaszewski, Dr Hassan Khosravi
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Completed supervision
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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
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
Doctor Philosophy
A PATTERN BASED APPROACH FOR DATA QUALITY REQUIREMENTS MODELLING
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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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
On the Role of Human and Machine Metadata in Crowdsourced Data Annotation
Associate Advisor
Other advisors: Professor Marta Indulska, Associate Professor Gianluca Demartini
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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, Associate 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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2023
Doctor Philosophy
Improving the Work Environment and Data Quality in Micro-Task Crowdsourcing
Associate Advisor
Other advisors: Associate Professor Gianluca Demartini
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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: Associate 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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