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About

George Suciu is a versatile researcher whose work spans artificial intelligence, the Internet of Things (IoT), environmental monitoring, and smart automation systems. His research consistently bridges cutting-edge computational methods with real-world industrial and environmental challenges, making him a distinctive voice in applied computer science and engineering. Among his most notable contributions is his work on underwater object detection using deep learning and image enhancement techniques for autonomous underwater vehicles, which has garnered 14 citations since 2023. His investigations into smart agriculture — particularly IoT-enabled disease detection in viticulture — reflect a commitment to modernizing traditional industries through sensor networks and machine learning, earning 10 citations. Suciu has also made significant strides in construction and demolition waste management, developing real-time AI-driven sorting systems that address a pressing European environmental challenge, accumulating 9 citations. Beyond these areas, Suciu has explored environmental sound recognition using neural networks and speech fusion techniques, as well as data fusion algorithms within Industrial IoT systems. Collectively, his publications demonstrate a researcher dedicated to deploying intelligent, data-driven solutions across diverse sectors — from ocean exploration to precision viticulture — with a growing citation record that reflects his expanding influence in the field.