Aastha Shukla
Papers
2
Total Citations
9
H-Index
2
About
Aastha Shukla is an emerging researcher at the intersection of machine learning and intelligent automation, with a focused interest in natural language processing and robotic process automation (RPA). Her notable work centers on the development of a customized automated email response bot, a system designed to intelligently parse, interpret, and respond to emails without human intervention by combining machine learning algorithms with RPA frameworks. This contribution addresses a critical challenge in enterprise productivity — the time-consuming burden of manual email management — and demonstrates how AI-driven automation can streamline business communication workflows at scale. Published in 2019, her research in this area has garnered citation attention across the academic and industry communities, reflecting growing interest in intelligent process automation solutions. Shukla's work is particularly relevant for organizations seeking to integrate smart automation into their operational pipelines, and her research serves as a foundational reference for students and practitioners exploring the convergence of machine learning with business process automation. As the field of AI-driven automation continues to expand rapidly, her early contributions position her as a thoughtful voice in this evolving domain.
Research Focus
Key Achievements
Top Papers
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- 2