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About

Yasaman Khazaeni is a researcher at the forefront of intelligent process automation, focusing on the convergence of artificial intelligence and business process management. Her work explores the evolution from traditional robotic process automation (RPA) to more sophisticated, AI-driven automation frameworks capable of handling complex enterprise workflows with minimal human intervention. Khazaeni's most influential contribution, "From Robotic Process Automation to Intelligent Process Automation" (2020), has garnered 116 citations and examines how advances in machine intelligence are fundamentally reshaping business process automation. Complementing this, her work on conversational digital assistants — cited 57 times — demonstrates her commitment to building intuitive, language-driven interfaces that extend RPA beyond rigid back-end systems toward more adaptive, user-facing automation solutions. A recurring theme across her research is addressing the core limitations of classical RPA: poor generalizability, high coding overhead, and inability to handle unstructured tasks. Her 2021 work pushes toward end-to-end business process automation, representing a natural progression in her research agenda. With her publications concentrated in 2020–2021 and already accumulating substantial citations, Khazaeni has rapidly established herself as a meaningful voice in the emerging field of intelligent enterprise automation.