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About

Fabrizio Maria Maggi is a prominent researcher at the intersection of process mining and robotic process automation (RPA), whose work has significantly shaped how organizations identify, analyze, and automate repetitive digital workflows. His research focuses on extracting actionable insights from user interaction logs to drive intelligent automation — a field he has helped define under the banner of "Robotic Process Mining." Maggi's most influential contribution, "Robotic Process Mining: Vision and Challenges" (2020), has accumulated 125 citations and laid the conceptual foundation for combining RPA with process mining techniques, articulating a forward-looking research agenda that has since inspired considerable follow-on work. His subsequent studies tackle concrete challenges within this vision, including the automated discovery of candidate routines from unsegmented UI logs, the identification of data transfer patterns, and the automated synthesis of data transformations — collectively addressing the full pipeline from log analysis to deployable automation scripts. His tool Robidium exemplifies this applied focus, enabling automated generation of RPA scripts directly from observed user behavior. Through a combination of theoretical frameworks and practical tooling, Maggi has established himself as a leading voice in intelligent process automation, offering researchers and practitioners alike a rigorous methodology for harnessing user interaction data to streamline organizational workflows.