About
Dr. Nguyen Hoang is a Research Fellow at the School of Information Systems, Queensland University of Technology, specializing in business process mining and data-driven workflow analysis. His work focuses on extracting insights from event logs to improve process modeling, performance prediction, and variant comparison.
- PhD thesis: Stage-aware business process mining (2019)
- Key research domains: Process discovery, Staged modeling, Performance analytics
Research Trends: His publications (2014–2019) emphasize:
- Staged process modeling (4 papers)
- Multi-perspective variant analysis (2 papers)
- White-box performance prediction (2 papers)
- Event log-based mining (13 total entries)
- Applications in banking (Rabobank case study) and healthcare systems
Collaborations include leading researchers: Marlon Dumas, Arthur ter Hofstede, Marcello La Rosa, and tools like Apromore for process variant analysis.
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