Sangeeta Rani

Shree Guru Gobind Singh Tricentenary University, GLA University

Papers

Total Citations

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About

Sangeeta Rani is a researcher at the forefront of intelligent automation and computational imaging, whose work bridges the gap between practical AI-driven systems and complex visual data processing. Her early influential study, "Recent Trends in Automation-A study of RPA Development Tools" (2019, 22 citations), established her as a key voice in robotic process automation, exploring how AI can classify and manage machine workflows to reduce human intervention in organizational tasks. This foundational work has informed the design of smarter, more autonomous business processes. More recently, Rani has ventured into the challenging domain of underwater image enhancement. Her 2024 paper, "Enhancing underwater image quality: a multilevel model with color correction and extended transmission map," introduces a novel multilevel framework that corrects color distortions and improves visibility in degraded underwater scenes—a critical advancement for marine engineering and aquatic robotics. Though newly published, this work promises to impact fields reliant on clear underwater vision. Rani’s research trajectory demonstrates a unique versatility, moving from streamlining enterprise automation to solving complex visual degradation problems, marking her as a rising interdisciplinary innovator with a growing citation footprint.