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 $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

300 works between 1999 and 2025
All (300) Book (2) Journal Article (85) Other Outputs (4) Edited Outputs (8) Conference Publication (188) Book Chapter (13)

41 - 60 of 300 works

2023

Journal Article

The biggest business process management problems to solve before we die

Beerepoot, Iris, Di Ciccio, Claudio, Reijers, Hajo A., Rinderle-Ma, Stefanie, Bandara, Wasana, Burattin, Andrea, Calvanese, Diego, Chen, Tianwa, Cohen, Izack, Depaire, Benoît, Di Federico, Gemma, Dumas, Marlon, van Dun, Christopher, Fehrer, Tobias, Fischer, Dominik A., Gal, Avigdor, Indulska, Marta, Isahagian, Vatche, Klinkmüller, Christopher, Kratsch, Wolfgang, Leopold, Henrik, Van Looy, Amy, Lopez, Hugo, Lukumbuzya, Sanja, Mendling, Jan, Meyers, Lara, Moder, Linda, Montali, Marco, Muthusamy, Vinod ... Zerbato, Francesca (2023). The biggest business process management problems to solve before we die. Computers in Industry, 146 103837, 1-14. doi: 10.1016/j.compind.2022.103837

The biggest business process management problems to solve before we die

2023

Journal Article

On the role of human and machine metadata in relevance judgment tasks

Xu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2023). On the role of human and machine metadata in relevance judgment tasks. Information Processing and Management, 60 (2) 103177, 1-14. doi: 10.1016/j.ipm.2022.103177

On the role of human and machine metadata in relevance judgment tasks

2023

Journal Article

Empowering learners for the age of artificial intelligence

Gašević, Dragan, Siemens, George and Sadiq, Shazia (2023). Empowering learners for the age of artificial intelligence. Computers and Education: Artificial Intelligence, 4 100130, 100130. doi: 10.1016/j.caeai.2023.100130

Empowering learners for the age of artificial intelligence

2023

Conference Publication

Preface

Di Francescomarino, Chiara, Burattin, Andrea, Janiesch, Christian and Sadiq, Shazia (2023). Preface. 21st International Conference, BPM 2023, Utrecht, The Netherlands, 11–15 September 2023. Heidelberg, Germany: Springer.

Preface

2023

Other Outputs

UQ Single Column Format Inconsistency Datasets

Demartini, Gianluca, Chen, Tianwa, Sadiq, Shazia, Fan, Shaoyang, Xu, Jiechen, Han, Lei and Yu, Shaochen (2023). UQ Single Column Format Inconsistency Datasets. The University of Queensland. (Dataset) doi: 10.48610/0ab54e7

UQ Single Column Format Inconsistency Datasets

2023

Journal Article

Data management of AI-powered education technologies: Challenges and opportunities

Khosravi, Hassan, Institute for Teaching and Learning Innovation, University of Queensland, Sadiq, Shazia, Amer-Yahia, Sihem, School of Information Technology and Electrical Engineering Faculty of Engineering, Architecture and Information Technology, , University of Queensland and Centre National de Recherche scientifique (CNRS), Univ. Grenoble Alpes, Grenoble, France (2023). Data management of AI-powered education technologies: Challenges and opportunities. Journal of Learning Letters. doi: 10.59453//xlud7002

Data management of AI-powered education technologies: Challenges and opportunities

2023

Book

Business Process Management Forum: BPM 2023 Forum, Utrecht, The Netherlands, September 11–15, 2023, Proceedings

Chiara Di Francescomarino, Andrea Burattin, Christian Janiesch and Shazia Sadiq eds. (2023). Business Process Management Forum: BPM 2023 Forum, Utrecht, The Netherlands, September 11–15, 2023, Proceedings. Lecture Notes in Business Information Processing, Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-41623-1

Business Process Management Forum: BPM 2023 Forum, Utrecht, The Netherlands, September 11–15, 2023, Proceedings

2022

Journal Article

Assessing the quality of student-generated content at scale: a comparative analysis of peer review models

Darvishi, Ali, Khosravi, Hassan, Rahimi, Afshin, Sadiq, Shazia and Gasevic, Dragan (2022). Assessing the quality of student-generated content at scale: a comparative analysis of peer review models. IEEE Transactions on Learning Technologies, 16 (1), 106-120. doi: 10.1109/tlt.2022.3229022

Assessing the quality of student-generated content at scale: a comparative analysis of peer review models

2022

Journal Article

Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022

Demartini, Gianluca, Yang, Jie and Sadiq, Shazia (2022). Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022. ACM SIGIR Forum, 56 (2), 1-8. doi: 10.1145/3582900.3582921

Report on the 1st Workshop on Human-in-the-Loop Data Curation (HIL-DC 2022) at CIKM 2022

2022

Conference Publication

Workshop on human-in-the-loop data curation

Demartini, Gianluca, Yang, Jie and Sadiq, Shazia (2022). Workshop on human-in-the-loop data curation. 31st ACM International Conference on Information and Knowledge Management, Atlanta, GA, United States, 17-21 October 2022. New York, NY, United States: ACM. doi: 10.1145/3511808.3557498

Workshop on human-in-the-loop data curation

2022

Conference Publication

Socio-economic diversity in human annotations

Fan, Shaoyang, Barlas, Pinar, Christoforou, Evgenia, Otterbacher, Jahna, Sadiq, Shazia and Demartini, Gianluca (2022). Socio-economic diversity in human annotations. WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, 26-29 June 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3501247.3531588

Socio-economic diversity in human annotations

2022

Conference Publication

Incorporating explainable learning analytics to assist educators with identifying students in need of attention

Shabaninejad, Shiva, Khosravi, Hassan, Abdi, Solmaz, Indulska, Marta and Sadiq, Shazia (2022). Incorporating explainable learning analytics to assist educators with identifying students in need of attention. L@S '22: Ninth ACM Conference on Learning @ Scale, New York, NY, United States, 1-3 June 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3491140.3528292

Incorporating explainable learning analytics to assist educators with identifying students in need of attention

2022

Conference Publication

Incorporating training, self-monitoring and AI-assistance to improve peer feedback quality

Darvishi, Ali, Khosravi, Hassan, Abdi, Solmaz, Sadiq, Shazia and Gašević, Dragan (2022). Incorporating training, self-monitoring and AI-assistance to improve peer feedback quality. L@S '22: Proceedings of the Ninth ACM Conference on Learning @ Scale, New York, NY, United States, 1 - 3 June 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3491140.3528265

Incorporating training, self-monitoring and AI-assistance to improve peer feedback quality

2022

Conference Publication

Exploring data literacy levels in the crowd – the case of COVID-19

Fan, Shaoyang, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2022). Exploring data literacy levels in the crowd – the case of COVID-19. Sixteenth International AAAI Conference on Web and Social Media, Atlanta, GA United States, 6–9 June 2022. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v16i1.19395

Exploring data literacy levels in the crowd – the case of COVID-19

2022

Conference Publication

Exploring data literacy levels in the crowd – the case of COVID-19

Fan, Shaoyang, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2022). Exploring data literacy levels in the crowd – the case of COVID-19. The 16th International AAAI Conference on Web and Social Media, Atlanta, GA United States, 6-9 June 2022. Palo Alto, CA United States: AAAI Press.

Exploring data literacy levels in the crowd – the case of COVID-19

2022

Journal Article

Incorporating AI and learning analytics to build trustworthy peer assessment systems

Darvishi, Ali, Khosravi, Hassan, Sadiq, Shazia and Gašević, Dragan (2022). Incorporating AI and learning analytics to build trustworthy peer assessment systems. British Journal of Educational Technology, 53 (4), 844-875. doi: 10.1111/bjet.13233

Incorporating AI and learning analytics to build trustworthy peer assessment systems

2022

Journal Article

Explainable Artificial Intelligence in education

Khosravi, Hassan, Shum, Simon Buckingham, Chen, Guanliang, Conati, Cristina, Gasevic, Dragan, Kay, Judy, Knight, Simon, Martinez-Maldonado, Roberto, Sadiq, Shazia and Tsai, Yi-Shan (2022). Explainable Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 3 100074, 1-22. doi: 10.1016/j.caeai.2022.100074

Explainable Artificial Intelligence in education

2022

Conference Publication

Does evidence from peers help crowd workers in assessing truthfulness?

Xu, Jiechen, Han, Lei, Fan, Shaoyang, Sadiq, Shazia and Demartini, Gianluca (2022). Does evidence from peers help crowd workers in assessing truthfulness?. WWW '22: The ACM Web Conference 2022, Online, 25 - 29 April, 2022. New York, NY, United States: ACM. doi: 10.1145/3487553.3524236

Does evidence from peers help crowd workers in assessing truthfulness?

2022

Conference Publication

Evaluating the quality of repurposed data – the role of metadata

Zhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). Evaluating the quality of repurposed data – the role of metadata. 32nd Australasian Conference on Information Systems (ACIS), Wellington, New Zealand, 1-4 December 2020. Atlanta, GA USA: Association for Information Systems.

Evaluating the quality of repurposed data – the role of metadata

2022

Journal Article

ψ-shifted operational matrix scheme for fractional partial differential equations

Sadiq, Shazia and Rehman, Mujeeb Ur (2022). ψ-shifted operational matrix scheme for fractional partial differential equations. Journal of Applied Analysis and Computation, 12 (2), 497-516. doi: 10.11948/20210101

ψ-shifted operational matrix scheme for fractional partial differential equations

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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