Zilda de Castro Silveira
Papers
8
Total Citations
106
H-Index
4
About
Zilda de Castro Silveira is a prolific researcher at the forefront of intelligent automation, whose work bridges Robotic Process Automation (RPA), Artificial Intelligence (AI), and sustainable technology frameworks. Her scholarship addresses one of the most pressing challenges in modern industry: how organizations can harness advanced automation while balancing operational efficiency with social and environmental responsibility. Silveira's most influential contribution, a 2024 literature review on AI-RPA integration (45 citations), proposed an innovative sustainable model that has quickly become a reference point in the field. She has since extended this work into predictive maintenance, Industry 5.0 frameworks, and Big Data integration, consistently developing actionable frameworks—including the notable FRIDA framework for human-computer interaction optimization—that translate theoretical insights into practical guidance for engineers and managers alike. Her research portfolio also reflects meaningful breadth: an earlier systematic review on upper limb assistive devices for stroke rehabilitation demonstrates her commitment to human-centered technology design. More recently, she has explored RPA's transformative potential in healthcare, underscoring automation's societal dimensions. With over 100 cumulative citations across recent publications, Silveira is establishing herself as a leading voice shaping how intelligent automation evolves responsibly within Industry 4.0 and beyond.
Research Focus
Key Achievements
Top Papers
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- 7Audit framework for control Robotic Process Automation projects2 citations · 2025
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