Imen Benzarti

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About

Imen Benzarti is a leading researcher in the field of Robotic Process Automation (RPA), with a focused expertise in developing rule-based methodologies to enhance the adoption and effectiveness of automation technologies. Her most-cited work, "A rule‐based method to effectively adopt robotic process automation" (2024), has already garnered 9 citations, reflecting its immediate impact on both academic and industrial communities. Benzarti's major contribution lies in addressing the critical challenge of implementing RPA in real-world business environments—her rule-based framework provides a structured, scalable approach for organizations to identify, prioritize, and automate repetitive, error-prone tasks. This work bridges the gap between theoretical automation models and practical deployment, offering clear guidelines for software robots that mimic human interactions with existing systems. By focusing on the "how" of RPA adoption, Benzarti has positioned herself as a key voice in the ongoing digital transformation discourse. Her research is particularly valuable for students and practitioners seeking to navigate the complexities of automation, ensuring that RPA delivers on its promise of speed, accuracy, and cost savings. With a growing citation count and a clear, actionable methodology, Benzarti is shaping the future of intelligent process automation.