Professor Shazia Sadiq
Professor

Shazia Sadiq

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+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

303 works between 1999 and 2026
All (303) Book (2) Journal Article (86) Other Outputs (4) Edited Outputs (8) Conference Publication (190) Book Chapter (13)

121 - 140 of 303 works

2016

Journal Article

Compliance management ontology – a shared conceptualization for research and practice in compliance management

Abdullah, Norris Syed, Indulska, Marta and Sadiq, Shazia (2016). Compliance management ontology – a shared conceptualization for research and practice in compliance management. Information Systems Frontiers, 18 (5), 1-26. doi: 10.1007/s10796-016-9631-4

Compliance management ontology – a shared conceptualization for research and practice in compliance management

2016

Conference Publication

Discovering interpretable geo-social communities for user behavior prediction

Yin, Hongzhi, Hu, Zhiting, Zhou, Xiaofang, Wang, Hao, Zheng, Kai, Quoc Viet Hung Nguyen and Sadiq, Shazia (2016). Discovering interpretable geo-social communities for user behavior prediction. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498303

Discovering interpretable geo-social communities for user behavior prediction

2016

Conference Publication

A pattern-based framework for addressing data representational inconsistency

Yi, Bingyu, Hua, Wen and Sadiq, Shazia (2016). A pattern-based framework for addressing data representational inconsistency. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney, NSW, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_31

A pattern-based framework for addressing data representational inconsistency

2016

Conference Publication

Big Data Quality - Whose problem is it?

Sadiq, Shazia and Papotti, Paolo (2016). Big Data Quality - Whose problem is it?. 32nd IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICDE.2016.7498367

Big Data Quality - Whose problem is it?

2016

Book Chapter

To integrate or not to integrate - the business rules question

Wang, Wei, Marta Indulska and Sadiq, Shazia (2016). To integrate or not to integrate - the business rules question. Advanced information systems engineering. (pp. 51-66) edited by Selmin Nurcan, Pnina Soffer, Marko Bajec and Johann Eder. Cham, Switzerland: Springer International. doi: 10.1007/978-3-319-39696-5_4

To integrate or not to integrate - the business rules question

2016

Conference Publication

Exploiting hierarchies for efficient detection of completeness in stream data

Razniewski, Simon, Sadiq, Shazia and Zhou, Xiaofang (2016). Exploiting hierarchies for efficient detection of completeness in stream data. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_33

Exploiting hierarchies for efficient detection of completeness in stream data

2016

Conference Publication

SPORE: a sequential personalized spatial item recommender system

Wang, Weiqing, Yin, Hongzhi, Sadiq, Shazia, Chen, Ling, Xie, Min and Zhou, Xiaofang (2016). SPORE: a sequential personalized spatial item recommender system. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498304

SPORE: a sequential personalized spatial item recommender system

2016

Conference Publication

Cognitive efforts in using integrated models of business processes and rules

Wang, Wei, Indulska, Marta and Sadiq, Shazia (2016). Cognitive efforts in using integrated models of business processes and rules. CAiSE Forum, Ljubljana, Slovenia, 13-17 June 2016. Ljubljana, Slovenia: CEUR Workshop Proceedings.

Cognitive efforts in using integrated models of business processes and rules

2015

Conference Publication

Making sense of spatial trajectories

Zhou, Xiaofang, Zheng, Kai, Jueng, Hoyoung, Xu, Jiajie and Sadiq, Shazia (2015). Making sense of spatial trajectories. 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, Australia, 19-23 October 2015. New York, NY United States: The Association for Computing Machinery. doi: 10.1145/2806416.2806418

Making sense of spatial trajectories

2015

Conference Publication

Storing and processing massive trajectory data on SAP HANA

Wang, Haozhou, Zheng, Kai, Jeung, Hoyoung, Bracher, Shane, Islam, Asadul, Sadiq, Wasim, Sadiq, Shazia and Zhou, Xiaofang (2015). Storing and processing massive trajectory data on SAP HANA. 26th Australasian Database Conference (ADC), Melbourne, Australia, 4-7 Jun 2015. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-19548-3_6

Storing and processing massive trajectory data on SAP HANA

2015

Conference Publication

SharkDB: an in-memory storage system for massive trajectory data

Wang, Haozhou, Zheng, Kai, Zhou, Xiaofang and Sadiq, Shazia (2015). SharkDB: an in-memory storage system for massive trajectory data. SIGMOD '15 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, VIC Australia, May 31 - June 4 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2723372.2735368

SharkDB: an in-memory storage system for massive trajectory data

2015

Conference Publication

Effectiveness of domain ontologies to facilitate shared understanding and cross understanding

Roa, Henry N., Indulska, Marta and Sadiq, Shazia (2015). Effectiveness of domain ontologies to facilitate shared understanding and cross understanding. International Conference on Information Systems (ICIS), Fort Worth, TX, United States, 13-16 December 2015. Atlanta, GA, United States: AIS Electronic Library (AISeL).

Effectiveness of domain ontologies to facilitate shared understanding and cross understanding

2015

Conference Publication

Making sense of trajectory data: a partition-and-summarization approach

Su, Han, Zheng, Kai, Zeng, Kai, Huang, Jiamin, Sadiq, Shazia, Yuan, Nicholas Jing and Zhou, Xiaofang (2015). Making sense of trajectory data: a partition-and-summarization approach. IEEE International Conference on Data Engineering, Seoul, South Korea, 13-17 April 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDE.2015.7113348

Making sense of trajectory data: a partition-and-summarization approach

2015

Conference Publication

Geo-SAGE: a geographical sparse additive generative model for spatial item recommendation

Wang, Weiqing, Yin, Hongzhi, Chen, Ling, Sun, Yizhou, Sadiq, Shazia and Zhou, Xiaofang (2015). Geo-SAGE: a geographical sparse additive generative model for spatial item recommendation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, 10-13 August 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2783258.2783335

Geo-SAGE: a geographical sparse additive generative model for spatial item recommendation

2015

Conference Publication

Joint modeling of user check-in behaviors for point-of-interest recommendation

Yin, Hongzhi, Zhou, Xiaofang, Shao, Yingxia, Wang, Hao and Sadiq, Shazia (2015). Joint modeling of user check-in behaviors for point-of-interest recommendation. 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourme, VIC, Australia, 19-23 October, 2015. New York , NY, United States: Association for Computing Machinery. doi: 10.1145/2806416.2806500

Joint modeling of user check-in behaviors for point-of-interest recommendation

2015

Conference Publication

Approximate keyword search in semantic trajectory database

Zheng, Bolong, Yuan, Nicholas Jing, Zheng, Kai, Xie, Xing, Sadiq, Shazia and Zhou, Xiaofang (2015). Approximate keyword search in semantic trajectory database. IEEE International Conference on Data Engineering, Seoul, South Korea, 13-17 April 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDE.2015.7113349

Approximate keyword search in semantic trajectory database

2015

Book Chapter

Managing regulatory compliance in business processes

Sadiq, Shazia and Governatori, Guido (2015). Managing regulatory compliance in business processes. Handbook on Business Process Management 2: Strategic Alignment, Governance, People and Culture. (pp. 265-288) edited by Jan vom Brocke and Michael Rosemann. Berlin, Germany: Springer. doi: 10.1007/978-3-642-45103-4_11

Managing regulatory compliance in business processes

2014

Journal Article

A framework for data quality aware query systems

Yeganeh, Naiem K., Sadiq, Shazia and Sharaf, Mohamed A. (2014). A framework for data quality aware query systems. Information Systems, 46, 24-44. doi: 10.1016/j.is.2014.05.005

A framework for data quality aware query systems

2014

Conference Publication

Integrated modelling of business process models and business rules: a research agenda

Wang, Wei, Indulska, Marta and Sadiq, Shazia (2014). Integrated modelling of business process models and business rules: a research agenda. 25th Australasian Conference on Information Systems, Auckland, New Zealand, 8-10 December 2014. Auckland, New Zealand: University of Auckland Business School.

Integrated modelling of business process models and business rules: a research agenda

2014

Conference Publication

Efficient retrieval of top-K most similar users from Travel Smart Card Data

Zheng, Bolong, Zheng, Kai, Sharaf, Mohamed A., Zhou, Xiaofang and Sadiq, Shazia (2014). Efficient retrieval of top-K most similar users from Travel Smart Card Data. 2014 IEEE 15th International Conference on Mobile Data Management, Brisbane, QLD Australia, 14-18 July 2014. Piscataway, NJ United States: IEEE. doi: 10.1109/MDM.2014.38

Efficient retrieval of top-K most similar users from Travel Smart Card Data

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

Looking for a supervisor? Read our advice on how to choose 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

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