Academic Publications

Burke, A., Leemans, S. J. J., & Wynn, M. T. (2021). Discovering Stochastic Process Models By Reduction and Abstraction. Application and Theory of Petri Nets and Concurrency (pp. 312-336). 10.1007/978-3-030-76983-3_16 [blog] [pre-print] [teaser video] [talk] [slides]

Burke, A., Leemans, S. J. J., & Wynn, M. T. (2021). Stochastic Process Discovery by Weight Estimation. In S. Leemans & H. Leopold (Eds.), Process Mining Workshops (pp. 260–272). Springer International Publishing. 10.1007/978-3-030-72693-5_20 [blog] [pre-print] [slides]

Burke, A. (2019). Occluded algorithms. Big Data & Society, 6(2), 2053951719858743. 10.1177/2053951719858743 (open access) [blog]

ORCID: 0000-0003-4407-2199

Talks

Structured Performance Tests. World Conference on Next Generation Testing 2020. [blog] [slides]

Acceleration With A Steering Wheel. DevOps 2018, Singapore. [blog] [slides]

iRobot - Automated Testing with Python and Robot. Innovation Now 2015, BAML Tech Conference.

Robotic Invisible Hands and Mythological Greenfields. Guest lecture for Banking Technology subject, Singapore Management University. 2013. [slides]

Writing

Platform QA, 2019.

FIX, Blockchain and Distributed Transactions, 2018.

The Chinese Rooms of Cognitive Capital. For &&&, 2016.

Study

Doctor of Philosophy (in progress), Queensland University of Technology. Topic: Stochastic Process Mining. Supervisors: Dr Sander Leemans and Prof Moe Thandar Wynn. School of Information Systems. 2020-present.

New Centre for Research and Practice, seminars in Critical Philosophy, 2016-9.

Bachelor of Science in Computer Science (Honours I), University of Queensland, 1998. Honours thesis: Java Development Utilizing Formal Specification.