Houcine Belouaar
Papers
2
Total Citations
17
H-Index
2
About
Houcine Belouaar is a researcher whose work bridges artificial intelligence, natural language processing, and military robotics, demonstrating a versatile commitment to solving real-world problems through technology. His most impactful contribution, "Empowering customer satisfaction chatbot using deep learning and sentiment analysis" (2024), has already garnered 13 citations, showcasing his ability to advance conversational AI by integrating deep learning with sentiment analysis to enhance user experience in service automation. This work highlights his expertise in developing intelligent systems that improve human-computer interaction. In parallel, Belouaar addresses critical national security needs with his paper "Design and Development of an IoT-based Solar Powered Camouflaged Robot for Military Applications" (2022), which tackles border surveillance challenges in Algeria’s vast terrain. By combining IoT connectivity, solar energy, and camouflage design, he proposes a sustainable, autonomous solution for unmanned border control, reflecting his skill in applied engineering. His research not only pushes boundaries in customer service automation but also contributes to defense technology, making him a notable figure in both civilian and military applications of robotics and AI.
Research Focus
Key Achievements
Top Papers
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- 2