Adam Burke

Adam Burke is a Research Fellow at Queensland University of Technology (QUT), affiliated with the School of Information Systems and Department of Information Systems. He holds a PhD in Process Mining with Labelled Stochastic Nets (2024). His research focuses on process mining, stochastic modeling, blockchain technology, and algorithm development. Burke has authored numerous papers in top venues like CAiSE, ICPM, and PETRI NETS, addressing topics including complexity analysis, fraud detection via blockchain integration, and stochastic process discovery.

Education: PhD in Process Mining (QUT, 2024).

Research Interests: Process Mining techniques, stochastic models, blockchain applications, algorithm design, and computational complexity analysis. His work bridges theoretical foundations with practical applications in data analysis and system optimization.

Publications span 2016 to 2025, emphasizing advancements in process model quality dimensions, historical data analysis (e.g., Qing Dynasty civil servant career paths), and experimental studies in stochastic systems. His 2025 work on blockchain-enhanced suspicious activity detection showcases innovation in cybersecurity and distributed systems.

Labs/Teams: Collaborates with researchers in process mining and stochastic systems, though specific lab affiliations are not detailed in the provided texts.