Shivali Amit Wagle

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About

Shivali Amit Wagle is a rising researcher at the intersection of computer vision and bibliometric analysis. Her work centers on advancing object recognition systems, with a particular focus on integrating color-driven approaches with machine learning to enhance detection accuracy. In her most-cited 2024 paper, “Color-Driven Object Recognition,” Wagle proposes a novel framework that combines color detection algorithms with ML techniques, achieving 11 citations—a strong start for a recent publication. This work addresses critical challenges in robotics, autonomous vehicles, and security systems, where precise object identification is essential. Earlier, Wagle contributed to the field of human-computer interaction through a 2021 bibliometric study on hand gesture-controlled robots. By analyzing 293 documents from the Scopus database, she mapped influential authors, institutions, and research trends from 2016 to 2021, providing a valuable resource for future developments in gesture-based control. Her dual focus on practical computer vision solutions and systematic research mapping demonstrates a versatile skill set. With her innovative color-driven recognition approach already gaining traction, Wagle is establishing herself as a promising voice in applied AI and robotics.