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Dahlia Fernandez is a prominent researcher specializing in Robotic Process Automation (RPA) and its transformative effects on accounting, financial services, and global business operations. Her work sits at the intersection of digital transformation, organizational behavior, and professional practice, making her a leading voice in understanding how automation technologies are reshaping modern workplaces. Fernandez's most influential contribution, "Impacts of Robotic Process Automation on Global Accounting Services" (2018), has garnered 161 citations and remains a landmark study in the field, employing institutional logic theory through an in-depth case study of one of the world's largest global business services firms. This work established a rigorous foundation for examining RPA's organizational implications. She has since expanded her research agenda to explore implementation challenges, employee acceptance, workforce skill implications, and broader bibliometric trends within RPA scholarship, with her 2023 bibliometric review already attracting 43 citations. Her multilingual output, including publications in Malay, reflects a commitment to making RPA research accessible across diverse academic communities. With a consistently growing body of work spanning theoretical frameworks, empirical case studies, and future research agendas, Fernandez has established herself as an essential reference for scholars and practitioners navigating the evolving landscape of intelligent automation.