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 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

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

278 works between 1999 and 2024
All (278) Journal Article (78) Book Chapter (12) Conference Publication (175) Book (2) Other Outputs (3) Edited Outputs (8)

41 - 60 of 278 works

2022

Journal Article

Information resilience: the nexus of responsible and agile approaches to information use

Sadiq, Shazia, Aryani, Amir, Demartini, Gianluca, Hua, Wen, Indulska, Marta, Burton-Jones, Andrew, Khosravi, Hassan, Benavides-Prado, Diana, Sellis, Timos, Someh, Ida, Vaithianathan, Rhema, Wang, Sen and Zhou, Xiaofang (2022). Information resilience: the nexus of responsible and agile approaches to information use. The VLDB Journal, 31 (5), 1059-1084. doi: 10.1007/s00778-021-00720-2

Information resilience: the nexus of responsible and agile approaches to information use

2022

Conference Publication

A behavioural analysis of metadata use in evaluating the quality of repurposed data

Zhou, Hui, Han, Lei, Dermatini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). A behavioural analysis of metadata use in evaluating the quality of repurposed data. 41st International Conference on Conceptual Modeling, ER 2022, Hyderabad, India, 17-20 October 2022. Heidelberg, Germany: Springer International Publishing. doi: 10.1007/978-3-031-17995-2_22

A behavioural analysis of metadata use in evaluating the quality of repurposed data

2021

Journal Article

Intelligent learning analytics dashboards: automated drill-down recommendations to support teacher data exploration

Khosravi, Hassan, Shabaninejad, Shiva, Bakharia, Aneesha, Sadiq, Shazia, Indulska, Marta and Gašević, Dragan (2021). Intelligent learning analytics dashboards: automated drill-down recommendations to support teacher data exploration. Journal of Learning Analytics, 8 (3), 133-154. doi: 10.18608/jla.2021.7279

Intelligent learning analytics dashboards: automated drill-down recommendations to support teacher data exploration

2021

Conference Publication

Value creation from data - Why is this a BPM problem?

Sadiq, Shazia, Someh, Ida Asadi, Chen, Tianwa and Indulska, Marta (2021). Value creation from data - Why is this a BPM problem?. International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, 6-10 September, 2021. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.

Value creation from data - Why is this a BPM problem?

2021

Journal Article

Neurophysiological measurements in higher education: a systematic literature review

Darvishi, Ali, Khosravi, Hassan, Sadiq, Shazia and Weber, Barbara (2021). Neurophysiological measurements in higher education: a systematic literature review. International Journal of Artificial Intelligence in Education, 32 (2), 413-453. doi: 10.1007/s40593-021-00256-0

Neurophysiological measurements in higher education: a systematic literature review

2021

Conference Publication

Employing peer review to evaluate the quality of student generated content at scale: a trust propagation approach

Darvishi, Ali, Khosravi, Hassan and Sadiq, Shazia (2021). Employing peer review to evaluate the quality of student generated content at scale: a trust propagation approach. L@S '21: Proceedings of the Eighth ACM Conference on Learning @ Scale, Virtual, 22-25 June 2021. New York, NY, USA: ACM. doi: 10.1145/3430895.3460129

Employing peer review to evaluate the quality of student generated content at scale: a trust propagation approach

2021

Conference Publication

Modelling learners in adaptive educational systems: a multivariate Glicko-based approach

Abdi, Solmaz, Khosravi, Hassan and Sadiq, Shazia (2021). Modelling learners in adaptive educational systems: a multivariate Glicko-based approach. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448189

Modelling learners in adaptive educational systems: a multivariate Glicko-based approach

2021

Conference Publication

Charting the design and analytics agenda of learnersourcing systems

Khosravi, Hassan, Demartini, Gianluca, Sadiq, Shazia and Gasevic, Dragan (2021). Charting the design and analytics agenda of learnersourcing systems. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448143

Charting the design and analytics agenda of learnersourcing systems

2021

Journal Article

Evaluating the quality of learning resources: a Learnersourcing approach

Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Demartini, Gianluca (2021). Evaluating the quality of learning resources: a Learnersourcing approach. IEEE Transactions on Learning Technologies, 14 (1) 9353264, 81-92. doi: 10.1109/tlt.2021.3058644

Evaluating the quality of learning resources: a Learnersourcing approach

2021

Conference Publication

Open learner models for multi-activity educational systems

Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Darvishi, Ali (2021). Open learner models for multi-activity educational systems. 22nd International Conference, AIED, Utrecht, The Netherlands, 14-18 June 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-78270-2_2

Open learner models for multi-activity educational systems

2021

Journal Article

Preface

Sadiq, Shazia, Teniente, Ernest and Indulska, Marta (2021). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12751 LNCS, v-vi. doi: 10.1007/s10796-012-9353-1

Preface

2021

Edited Outputs

Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings

La Rosa, Marcello, Sadiq, Shazia and Teniente, Ernest eds. (2021). Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings. Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC Australia, 28 June – 2 July 2021. Cham, Switzerland: Springer.

Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings

2021

Journal Article

Preface

Reinhartz-Berger, Iris and Sadiq, Shazia (2021). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13012 LNCS, v-vi. doi: 10.1007/978-3-030-88358-4

Preface

2021

Edited Outputs

Advances in Conceptual Modeling : ER 2021 Workshops CoMoNoS, EmpER, CMLS St. John's, NL, Canada, October 18–21, 2021, Proceedings

Reinhartz-Berger, Iris and Sadiq, Shazia eds. (2021). Advances in Conceptual Modeling : ER 2021 Workshops CoMoNoS, EmpER, CMLS St. John's, NL, Canada, October 18–21, 2021, Proceedings. ER 2021 Workshops CoMoNoS, EmpER, CMLS, St. John's, NL Canada, 18–21 October 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-88358-4

Advances in Conceptual Modeling : ER 2021 Workshops CoMoNoS, EmpER, CMLS St. John's, NL, Canada, October 18–21, 2021, Proceedings

2020

Conference Publication

Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining

Leemans, Sander J. J., Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia and Wynn, Moe Thandar (2020). Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining. Conceptual Modeling 39th International Conference, ER 2020, Vienna, Austria, 3–6 November, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-62522-1_7

Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining

2020

Conference Publication

Identifying cohorts that differ in their behaviour: tool support

Leemans, Sander, Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia and Wynn, Moe (2020). Identifying cohorts that differ in their behaviour: tool support. 39th International Conference on Conceptual Modeling , Vienna, Austria, 3-6 November 2020. CEUR-WS.

Identifying cohorts that differ in their behaviour: tool support

2020

Conference Publication

Modelling User Behavior Dynamics with Embeddings

Han, Lei, Checco, Alessandro, Difallah, Djellel, Demartini, Gianluca and Sadiq, Shazia (2020). Modelling User Behavior Dynamics with Embeddings. 29th ACM International Conference on Information & Knowledge Management, Online, 19-23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3411985

Modelling User Behavior Dynamics with Embeddings

2020

Conference Publication

Sensemaking in dual artefact tasks – the case of business process models and business rules

Chen, Tianwa, Sadiq, Shazia and Indulska, Marta (2020). Sensemaking in dual artefact tasks – the case of business process models and business rules. 39th ER: International Conference on Conceptual Modeling, Vienna, Austria, 3-6 November 2020. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-62522-1_8

Sensemaking in dual artefact tasks – the case of business process models and business rules

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

Building data curation processes with crowd intelligence

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

Development and adoption of an adaptive learning system: reflections and lessons learned

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