Hafedh Mili

Papers

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About

Hafedh Mili is a researcher whose work spans intelligent systems, ambient computing, and enterprise automation technologies. His most recognized contributions lie at the intersection of software robotics and business process management, with a particular focus on Robotic Process Automation (RPA) — a rapidly growing field concerned with deploying software agents to handle repetitive, error-prone organizational tasks traditionally performed by human workers. Mili's most cited work, "A Rule-Based Method to Effectively Adopt Robotic Process Automation" (2024), has garnered 9 citations and proposes structured methodological frameworks to guide organizations in deploying RPA solutions more efficiently and reliably. This research complements his earlier contribution, "Robotic Process Automation and Business Rules: A Perfect Match" (2020), which explores the natural synergy between formal business rule systems and automated software robots — offering practitioners a principled approach to process automation design. Beyond automation, Mili has investigated anticipatory mechanisms in ambient intelligence environments, examining how cognitive prediction capabilities can enhance service composition in smart, context-aware systems. His 2010 paper on anticipatory service composition demonstrates his broader interest in intelligent, adaptive computing architectures. Collectively, his work provides valuable guidance for researchers and practitioners navigating the evolving landscape of intelligent process automation and smart systems design.