Papers
4
Total Citations
471
H-Index
3
About
Sara Paiva is a leading researcher at the forefront of Industry 4.0, specializing in the convergence of Robotic Process Automation (RPA) and Artificial Intelligence (AI). Her work critically examines how these technologies are reshaping digital services and manufacturing. Her most impactful contribution, a comprehensive literature review on RPA and AI in Industry 4.0, has garnered 462 citations, establishing it as a foundational reference in the field. This work analyzes the proliferation of digital services and the fourth industrial revolution's technological evolution. Paiva also explores practical AI applications, including document classification for RPA and optimization strategies for invoice management, demonstrating a focus on real-world business process improvement. Further extending her expertise, she has investigated intelligent models for the car assembly industry, integrating Big Data and Fuzzy Logic Type-2 for decision-making. Through her highly cited work and targeted studies, Paiva provides critical insights into the automation and intelligence driving modern industry, making her a key voice in understanding the technological transformation of the 21st-century enterprise.
Research Focus
Key Achievements
Top Papers
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