Associate Professor
Chun Ouyang
![Profile image of Associate Professor Chun Ouyang](https://www.qut.edu.au/__data/assets/image/0020/1058501/placeholder-profile-image.png)
Faculty of Science,
School of Information Systems
Biography
I am a co-founder and leader of the “eXplainable Analytics for Machine Intelligence” team (XAMI Lab), driven by a vision to foster fairness, transparency, and trust in data-centric AI systems. I am co-leading the Responsible Data Science & AI Program in the Centre for Data Science. I am the Academic Lead in Higher Degree Research in the school, providing leadership in training and mentoring PhD/master research students. I am the program leader of Bachelor of IT joint teaching program between QUT and Jinling Institute of Technology.I am a well-established researcher and my work contributes to the advancement of data analytical capabilities by developing new methods and techniques underpinned by data mining. I am passionate in applying data science to address real-world challenges, and my recent work focus on developing explainable analytics for machine learning. I have published over 100 peer-reviewed research papers in international journals and conference proceedings (refer to Publications section and my Google Scholar page). I have been awarded numerous research grants, including five Category 1 Australian Competitive Grants (refer to Research projects section), two major research-industry projects funded by food agility CRC, three joint grants between QUT and Sun Yat-Sen University, etc.
I am dedicated to fostering the development and success of research students, and actively seeking prospective PhD, master, and honours students interested in exploring research topics such as explainable AI, workforce analytics, IoT computing, process mining, robotic process automation, and trustworthy intelligent systems. Please refer to the Supervision section for detailed information on specific research projects under my supervision.
Personal details
Positions
- Associate Professor
Faculty of Science,
School of Information Systems
Keywords
Process Mining, Explainable AI, Predictive Analytics, AI Robustness, Distributed Computing, Formal Modeling and Verification (using nets)
Research field
Information systems, Artificial intelligence
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD in Computer Systems Engineering (Uni of South Australia)
Teaching
I am passionate about teaching. I believe high quality teaching is underpinned by solid and in depth knowledge and wisdom, and driven by dedication and passion to engage and to inspire.
Subject Coordination & Lecturing:
- IFN667 Enterprise IoT Systems (new subject from 2020)
- IFN515 Fundamentals of Business Process Management (2015-2019)
- IFN651 Lean Six Sigma (2015-2019)
- INN610 Case Studies in Business Process Management (2010-2014)
Subject Co-lecturing:
- IAB201 Modelling Techniques for Information Systems (2021)
- INB/N324 Business Process Analytics (2012-2014)
- INB/N210 Databases (2009-2014)
Subject Guest-lecturing:
- IAB201 Modelling Information Systems - Guest lecture on Object-oriented Modelling (2014-2016)
- INN701 Advanced Research Topics - Guest lectures on Petri nets and Object Role Modelling as part of a one-day module on Introduction to Formal Methods (2009-2014)
Project Co-teaching / Supervision:
- IFN703 Advanced Project (2021)
- IFN704 Advanced Project 2 (2021)
- IAB398/399 Undergraduate student capstone project supervision (2019-2020)
- IFN701/702 Postgraduate student project supervision - incl: CEED & WIL project supervision (since 2015)
- IFN690/691/693 Postgraduate student project supervision (prior to 2015)
- INB300/302 Undergraduate student project supervision (prior to 2015)
- CEED project supervision (prior to 2015)
Invited Subject (Co-)Teaching (external to QUT):
- Business Process Automation: An undergraduate subject at Sun Yat-sen University (2013-2015)
Research Supervision:
QUT Internal (Access to the theses of my research graduates can be found on 'Supervision' page)
- Jing Yang (PhD student; principal supervisor; co-supervising with Prof Arthur ter Hofstede, Prof Wil van der Aalst)
- Chathurika Wickramage (PhD student; co-supervising with Prof Colin Fidge)
- Shilpa Kochar (MPhil student; co-supervising with Dr Jason Watson)
- Fuguo Wei (PhD graduate in 2016; co-supervised with Prof Alistair Barros)
- Suriadi Suriadi (PhD graduate in 2010; co-supervised with Dr Ernest Foo)
- Kenneth Wang (PhD graduate in 2008; co-supervised with Prof Marlon Dumas)
- Srimanth Lingamaneni (Master by Research graduate in 2010; co-supervised with Prof Lin Ma and Prof Prasad Yarlagadda)
External to QUT (I provide guidance and mentoring to the following research students outside QUT, though I am not officially their supervisor on administrative document)
- Jing Yang (Master by Research graduate in 2019; Sun Yat-sen University, China)
- Amin Jalali (PhD graduate in 2016; Stockholm University, Sweden)
- Zhaoxia Wang (PhD graduate in 2012; Tsinghua University, China)
Publications
- Wickramanayake, B., Ouyang, C., Xu, Y. & Pinto Moreira, C. (2023). Generating multi-level explanations for process outcome predictions. Engineering Applications of Artificial Intelligence, 125. https://eprints.qut.edu.au/241377
- Velmurugan, M., Ouyang, C., Sindhgatta, R. & Pinto Moreira, C. (2023). Through the looking glass: Evaluating post hoc explanations using transparent models. International Journal of Data Science and Analytics. https://eprints.qut.edu.au/243164
- Yang, J., Ouyang, C., van der Aalst, W., ter Hofstede, A. & Yu, Y. (2022). OrdinoR: A framework for discovering, evaluating, and analyzing organizational models using event logs. Decision Support Systems, 158. https://eprints.qut.edu.au/228693
- Wickramanayake, B., He, Z., Ouyang, C., Pinto Moreira, C., Xu, Y. & Sindhgatta, R. (2022). Building interpretable models for business process prediction using shared and specialised attention mechanisms. Knowledge-Based Systems, 248. https://eprints.qut.edu.au/229607
- Pika, A., Ouyang, C. & ter Hofstede, A. (2022). Configurable Batch-Processing Discovery from Event Logs. ACM Transactions on Management Information Systems, 13(3). https://eprints.qut.edu.au/213735
- Chou, Y., Pinto Moreira, C., Bruza, P., Ouyang, C. & Jorge, J. (2022). Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications. Information Fusion, 81, 59–83. https://eprints.qut.edu.au/225948
- Yang, J., Ouyang, C., Dik, G., Corry, P. & ter Hofstede, A. (2022). Crop Harvest Forecast via Agronomy-informed Process Modelling and Predictive Monitoring. Advanced Information Systems Engineering: 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6-10, 2022, Proceedings, 201–217. https://eprints.qut.edu.au/229877
- Ouyang, C., Adams, M., ter Hofstede, A. & Yu, Y. (2021). Design and Realisation of Scalable Business Process Management Systems for Deployment in the Cloud. ACM Transactions on Management Information Systems, 12(4). https://eprints.qut.edu.au/212227
- Moreira, C., Chou, Y., Velmurugan, M., Ouyang, C., Sindhgatta, R. & Bruza, P. (2021). LINDA-BN: An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models. Decision Support Systems, 150. https://eprints.qut.edu.au/211178
- Velmurugan, M., Ouyang, C., Pinto Moreira, C. & Sindhgatta, R. (2021). Evaluating Stability of Post-hoc Explanations for Business Process Predictions. Service-Oriented Computing: 19th International Conference, ICSOC 2021, Virtual Event, November 22–25, 2021, Proceedings, 49–64. https://eprints.qut.edu.au/214090
QUT ePrints
For more publications by Chun, explore their research in QUT ePrints (our digital repository).
Selected research projects
- Title
- Re-Engineering Enterprise Systems for Microservices in the Cloud
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP190100314
- Start year
- 2019
- Keywords
- Title
- Improved Business Decision-Making via Liquid Process Model Collections
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP150103356
- Start year
- 2015
- Keywords
- process mining; process model collection; business process management
- Title
- Collaboration with Beijing Jiaotong University to build Australia-China research-industry collaboration in service and process innovation
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- ACSRF01226
- Start year
- 2012
- Keywords
- Business Process Management; Service Engineering
- Title
- Cost-aware business process management
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP120101624
- Start year
- 2012
- Keywords
- Information System; Business Process Model; Workflow Management; Management Accounting
- Title
- Risk-Aware Business Process Management
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP110100091
- Start year
- 2011
- Keywords
- Risk Management; Information System; Business Process Model; Workflow Management
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Looking for a postgraduate research supervisor?
I am currently accepting research students for Honours, Masters and PhD study.
- Building explainable and trustworthy intelligent systems
- Data-driven and process-aware workforce analytics
- Explainable AI-enabled predictive analytics
You can browse existing student topics offered by QUT or propose your own topic.
Current supervisions
- Explaining Deep Learning-based Process Predictions
PhD, Principal Supervisor
Other supervisors: Associate Professor Yue Xu, Adjunct Associate Professor Catarina Pinto Moreira - Interpretable Human-Centred Multimodal Learning Framework
PhD, Associate Supervisor
Other supervisors: Adjunct Associate Professor Catarina Pinto Moreira, Professor Margot Brereton - Building Robust Predictive Systems for Structured Data
PhD, Principal Supervisor
Other supervisors: Professor Alistair Barros, Adjunct Associate Professor Catarina Pinto Moreira - Context-aware Process Analytics using IoT Data
PhD, Principal Supervisor
Other supervisors: Professor Arthur ter Hofstede
Completed supervisions (Doctorate)
- Discovering organizational models from event logs for workforce analytics (2023)
- Information Accountability in Health Information Systems Using Process Analytics (2020)
- On the Analysis and Refactoring of Service Interfaces for Improving Service Integration Efficiency (2016)
- Strengthening and Formally Verifying Privacy in Identity Management Systems (2010)
- Interface Adaptation for Conversational Services (2008)