Papers
3
Total Citations
26
H-Index
2
About
Supriya P. Panda is an emerging researcher at the intersection of artificial intelligence, automation, and digital transformation, with a focused body of work exploring how intelligent technologies can reshape modern business operations. Panda's research spans two compelling domains: natural language processing applied to e-commerce, and the strategic implementation of Robotic Process Automation (RPA) in organizational settings. Their 2022 study on sentiment analysis of e-commerce apparel products using Convolutional Neural Networks — garnering 13 citations — demonstrates a keen ability to harness deep learning techniques for extracting actionable consumer insights in the context of Industry 4.0. Equally significant is Panda's contribution to RPA literature, where their work on process selection strategies (11 citations) and standardized candidate selection criteria addresses a critical gap organizations face when scaling automation initiatives. By developing frameworks that help businesses identify and prioritize automation-ready processes, Panda is enabling more efficient digital transformation journeys. Collectively, their publications reflect a commitment to bridging theoretical AI advancements with real-world applicability, making their work valuable for practitioners, policymakers, and researchers navigating the rapidly evolving landscape of intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1Sentiment Analysis on E-Commerce Apparels using Convolutional Neural Network13 citations · 2022
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