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About

Adriano Augusto is a leading researcher at the intersection of Process Mining and Robotic Process Automation (RPA). His work focuses on the automated discovery and identification of repetitive user routines from unsegmented User Interface (UI) logs—a critical step for organizations seeking to deploy software bots effectively. Augusto’s major contributions include pioneering methods to automatically detect automatable routines, directly addressing the challenge of scoping which tasks are suitable for RPA. His most cited work, "Discovering Automatable Routines from User Interaction Logs" (2019, 41 citations), along with subsequent studies on identifying candidate routines and data transfer patterns, has laid the algorithmic foundation for this emerging field. By enabling the extraction of high-value automation opportunities from raw UI data, his research bridges the gap between process discovery and practical bot development. With a growing body of work accumulating over 90 citations, Augusto is recognized for transforming how organizations analyze user interactions to drive efficiency, making him a key figure in the advancement of intelligent process automation.