Yogini Borole

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About

Yogini Borole is a researcher at the forefront of sustainable technology, specializing in renewable energy systems, the Internet of Things (IoT), and machine learning. Her work bridges the gap between hardware innovation and intelligent software, with a particular focus on optimizing energy efficiency. Borole’s most impactful contribution is the development of a "Smart Remote Solar Panel Cleaning Robot with Wireless Communication" (2021, 29 citations), which addresses a critical challenge in solar energy: maintaining panel efficiency through automated, remote cleaning. This innovation is vital for large-scale solar farms, where dust accumulation can significantly reduce power output. In parallel, she explores the intersection of AI and IoT, proposing novel hardware architectures in her paper "Machine Learning–Enabled Techniques for Reducing Energy Consumption of IoT Devices" (2021, 3 citations) to tackle the persistent challenge of energy efficiency in connected devices. By designing systems that intelligently manage power, Borole is helping to make IoT networks more sustainable and scalable. Her work is essential reading for engineers and researchers seeking practical, data-driven solutions for a cleaner, more efficient energy future.