Abdelhak Merizig

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About

Abdelhak Merizig is a researcher at the forefront of intelligent systems, specializing in the intersection of deep learning, natural language processing (NLP), and the Internet of Things (IoT). His work focuses on creating autonomous solutions that enhance human-machine interaction and address real-world operational challenges. Merizig’s most impactful contribution is his pioneering work on "Empowering customer satisfaction chatbot using deep learning and sentiment analysis," which has garnered 13 citations. This research advances the field of conversational AI by integrating sentiment analysis to create more empathetic and responsive virtual agents, directly improving user experience in service-oriented applications. In parallel, his work on "Design and Development of an IoT-based Solar Powered Camouflaged Robot for Military Applications" (4 citations) demonstrates a practical application of IoT for autonomous border security, showcasing his ability to tackle complex, large-scale engineering problems. By blending theoretical advances in NLP with tangible IoT deployments, Merizig is shaping the future of intelligent, context-aware robotics and automated customer service, making his research highly relevant for students and engineers working on next-generation autonomous systems.