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About

Souvik Pal is a leading researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and edge computing, with a particular focus on advancing human-machine interaction and industrial automation. His work has garnered significant attention, with his most-cited paper—a 2021 proceedings on mathematical modeling and computational science—accumulating 39 citations, while his innovative 2023 study on machine learning-based hand gesture recognition using HCI on an IoT-assisted cloud platform has earned 31 citations. This latter work demonstrates how wearable sensors and gesture interfaces can create more natural, expedient human-machine interaction methods, showcasing Pal’s ability to translate complex AI techniques into practical applications. His 2024 contribution to artificial intelligence-based IoT-edge environments for Industry 5.0 further cements his role in shaping next-generation smart manufacturing systems. Additionally, Pal has explored computer vision challenges, such as text region identification from natural scene images using semi-supervised MSER methods. Through these achievements, Pal has established himself as a key figure in bridging theoretical AI models with real-world IoT and edge computing solutions, making his research essential for students and practitioners seeking to understand the future of intelligent, connected systems.