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 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)

1 - 20 of 278 works

2024

Journal Article

Large language models meet user interfaces: the case of provisioning feedback

Pozdniakov, Stanislav, Brazil, Jonathan, Abdi, Solmaz, Bakharia, Aneesha, Sadiq, Shazia, Gašević, Dragan, Denny, Paul and Khosravi, Hassan (2024). Large language models meet user interfaces: the case of provisioning feedback. Computers and Education: Artificial Intelligence, 7 100289, 100289. doi: 10.1016/j.caeai.2024.100289

Large language models meet user interfaces: the case of provisioning feedback

2024

Journal Article

Large language models and generative AI in telehealth: a responsible use lens

Pool, Javad, Indulska, Marta and Sadiq, Shazia (2024). Large language models and generative AI in telehealth: a responsible use lens. Journal of the American Medical Informatics Association, 31 (9), 2125-2136. doi: 10.1093/jamia/ocae035

Large language models and generative AI in telehealth: a responsible use lens

2024

Conference Publication

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

Wang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin and Sadiq, Shazia (2024). Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671795

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

2024

Conference Publication

Fairness without sensitive attributes via knowledge sharing

Ni, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014

Fairness without sensitive attributes via knowledge sharing

2024

Conference Publication

How good are LLMs in generating personalized advertisements?

Meguellati, Elyas, Han, Lei, Bernstein, Abraham, Sadiq, Shazia and Demartini, Gianluca (2024). How good are LLMs in generating personalized advertisements?. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589335.3651520

How good are LLMs in generating personalized advertisements?

2024

Journal Article

Variational counterfactual prediction under runtime domain corruption

Wen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Gao, Junbin and Yin, Hongzhi (2024). Variational counterfactual prediction under runtime domain corruption. IEEE Transactions on Knowledge and Data Engineering, 36 (5) 10271745, 2271-2284. doi: 10.1109/tkde.2023.3321893

Variational counterfactual prediction under runtime domain corruption

2024

Journal Article

Editorial: Special Issue on Human in the Loop Data Curation

Demartini, Gianluca, Sadiq, Shazia and Yang, Jie (2024). Editorial: Special Issue on Human in the Loop Data Curation. Journal of Data and Information Quality, 16 (1) 3, 1-2. doi: 10.1145/3650209

Editorial: Special Issue on Human in the Loop Data Curation

2024

Journal Article

Impact of AI assistance on student agency

Darvishi, Ali, Khosravi, Hassan, Sadiq, Shazia, Gašević, Dragan and Siemens, George (2024). Impact of AI assistance on student agency. Computers and Education, 210 104967, 1-18. doi: 10.1016/j.compedu.2023.104967

Impact of AI assistance on student agency

2024

Journal Article

On the impact of showing evidence from peers in crowdsourced truthfulness assessments

Xu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the impact of showing evidence from peers in crowdsourced truthfulness assessments. ACM Transactions on Information Systems, 42 (3) 87, 1-26. doi: 10.1145/3637872

On the impact of showing evidence from peers in crowdsourced truthfulness assessments

2024

Conference Publication

Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid

Sai, Catherine, Sadiq, Shazia, Han, Lei, Demartini, Gianluca and Rinderle-Ma, Stefanie (2024). Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid. 18th International Conference, RCIS 2024, Guimarães, Portugal, 14-17 May 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-59465-6_11

Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid

2023

Conference Publication

Do process analysts care about the metadata of event logs?

Zhou, Hui, Zerbato, Francesca, Weber, Barbara, Indulska, Marta and Sadiq, Shazia (2023). Do process analysts care about the metadata of event logs?. Australasian Conference on Information Systems (ACIS) 2023, Wellington, New Zealand, 5 - 8 December 2023. Atlanta, GA United States: Association for Information Systems.

Do process analysts care about the metadata of event logs?

2023

Conference Publication

Exploring data workers’ behaviours in data quality discovery

Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). Exploring data workers’ behaviours in data quality discovery. Australasian Conferences on Information Systems 2023, Wellington, New Zealand, 5-8 December 2023. Atlanta, GA USA: Association for Information Systems.

Exploring data workers’ behaviours in data quality discovery

2023

Conference Publication

To predict or to reject: causal effect estimation with uncertainty on networked data

Wen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Zheng, Kai and Yin, Hongzhi (2023). To predict or to reject: causal effect estimation with uncertainty on networked data. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1 - 4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00184

To predict or to reject: causal effect estimation with uncertainty on networked data

2023

Journal Article

A data-driven analysis of behaviors in data curation processes

Han, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). A data-driven analysis of behaviors in data curation processes. ACM Transactions on Information Systems, 41 (3) 72, 1-35. doi: 10.1145/3567419

A data-driven analysis of behaviors in data curation processes

2023

Conference Publication

DEI Perspectives in Information Technology Education

Sadiq, Shazia (2023). DEI Perspectives in Information Technology Education. SIGMOD/PODS '23: International Conference on Management of Data, Seattle, WA United States, 18 - 23 June 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3555041.3591053

DEI Perspectives in Information Technology Education

2023

Journal Article

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report

Amer-Yahia, Sihem, Agrawal, Divyakant, Amsterdamer, Yael, Bhowmick, Sourav S., Bonifati, Angela, Borovica-Gajic, Renata, Camacho-Rodriguez, Jesus, Catania, Barbara, Chrysanthis, Panos K., Curino, Carlo, Darmont, Jerome, Dobbie, Gillian, El Abbadi, Amr, Floratou, Avrilia, Freire, Juliana, Jindal, Alekh, Kalogeraki, Vana, Maiyya, Sujaya, Meliou, Alexandra, Mohanty, Madhulika, Omidvar-Tehrani, Behrooz, Ozcan, Fatma, Peterfreund, Liat, Rahayu, Wenny, Sadiq, Shazia, Sellami, Sana, Sirin, Utku, Tan, Wang-Chiew, Thuraisingham, Bhavani ... Zhang, Meihui (2023). Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. Sigmod Record, 52 (2), 38-42.

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report

2023

Journal Article

Integrating design thinking and agile approaches in analytics development: the case of Aginic

Brea, Edgar, Someh, Ida, Freya, Emma, Thebault, Brett and Sadiq, Shazia (2023). Integrating design thinking and agile approaches in analytics development: the case of Aginic. Journal of Information Technology Teaching Cases. doi: 10.1177/20438869231178035

Integrating design thinking and agile approaches in analytics development: the case of Aginic

2023

Journal Article

DataOps-4G: on supporting generalists in data quality discovery

Yu, Shaochen, Chen, Tianwa, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2023). DataOps-4G: on supporting generalists in data quality discovery. IEEE Transactions on Knowledge and Data Engineering, 35 (5), 4668-4681. doi: 10.1109/tkde.2022.3151605

DataOps-4G: on supporting generalists in data quality discovery

2023

Conference Publication

Human-in-the-loop regular expression extraction for single column format inconsistency

Yu, Shaochen, Han, Lei, Indulska, Marta, Sadiq, Shazia and Demartini, Gianluca (2023). Human-in-the-loop regular expression extraction for single column format inconsistency. WWW '23: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583515

Human-in-the-loop regular expression extraction for single column format inconsistency

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

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

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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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