Tom Hohenadl

Catholic University of Eichstätt-Ingolstadt

Papers

Total Citations

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About

Tom Hohenadl is a rising researcher at the intersection of Business Process Management (BPM) and Robotic Process Automation (RPA). His work centers on making automation more intelligent and accessible, particularly through the automatic generation of software robots. In his highly cited paper "SmartRPA: Generating software robots from user interface logs" (2024, 5 citations), Hohenadl proposes a novel method to create RPA bots directly from recorded user interface interactions, eliminating much of the manual programming burden. This contribution directly addresses a key bottleneck in RPA adoption. He further explores the strategic implications of automation in "Decision-Making in Robotic Process Automation Programming and its Influence on Robotic Process Mining" (2024, 3 citations), analyzing how programming choices impact downstream process discovery. By bridging the gap between UI log analysis and automated bot generation, Hohenadl is helping to shape the next generation of intelligent process automation, where software robots are not just programmed, but learned from human behavior.