Sri Lasya Hemadri
Papers
1
Total Citations
6
H-Index
1
About
Sri Lasya Hemadri is a researcher at the forefront of intelligent automation, with a primary focus on robotic process automation (RPA) and its integration with web technologies. Her most-cited work, "Web scraping using robotic process automation" (2024), has garnered 6 citations, establishing her as a rising voice in the field. In this influential paper, Hemadri demonstrates how RPA can be leveraged to efficiently extract and process web data, bridging the gap between traditional scraping methods and modern automation frameworks. Her contributions offer practical solutions for automating data-intensive tasks, reducing manual effort, and improving accuracy in data collection—a critical need for businesses and researchers alike. By combining RPA's rule-based capabilities with the dynamic nature of web scraping, she provides a scalable approach that is both cost-effective and easy to implement. Hemadri's work is particularly notable for its emphasis on accessibility, making advanced automation techniques available to non-technical users. As a young researcher, her early impact signals a promising trajectory in the automation and data engineering landscape.
Research Focus
Key Achievements
Top Papers
- 1Web scraping using robotic process automation6 citations · 2024