Vatsal Maru
Papers
2
Total Citations
11
H-Index
2
About
Vatsal Maru is a researcher at the forefront of intelligent automation, specializing in the integration of **Cyber-Physical Systems (CPS)** and the **Internet of Things (IoT)** with advanced **deep learning**. His work focuses on bridging the digital and physical worlds to create smarter, safer, and more efficient industrial environments. Maru’s major contribution lies in developing novel frameworks that enable real-time, autonomous operations. His most cited paper (2020, 6 citations) introduced an IoT-based CPS framework that leverages a variant of **Faster R-CNN** for real-time object detection, allowing physical systems to perceive and react to their surroundings instantly. He expanded on this in a 2022 follow-up (5 citations), incorporating more sophisticated deep-learning and image processing techniques to enhance industrial automation and human safety. By demonstrating how convolutional neural networks can be deployed for real-time decision-making in physical environments, Maru is helping to lay the groundwork for the next generation of responsive, intelligent factories. His work is a key reference for researchers exploring the convergence of AI, IoT, and industrial control systems.
Research Focus
Key Achievements
Top Papers
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- 2