About ESAI'27

The Organizing Committee is pleased to invite researchers, academics, engineers, industry professionals, and PhD students to participate in the 6th International Conference on Embedded Systems and Artificial Intelligence (ESAI’27), which will be organized by the Faculty of Sciences and the National School of Applied Sciences (ENSA), Sidi Mohamed Ben Abdellah University, Fez, Morocco. ESAI’27 aims to bring together researchers and practitioners from academia and industry to share their latest research findings, exchange innovative ideas, and discuss emerging trends and challenges in Computer Science, Artificial Intelligence, Information Technology, and Embedded Systems. The conference seeks to foster interdisciplinary collaboration, encourage scientific exchange, and strengthen connections between theoretical research and practical applications. By providing an international forum for knowledge sharing and collaboration, ESAI’27 aspires to contribute to the advancement of intelligent technologies and their effective integration into real-world systems. The conference will cover a broad range of topics, including, but not limited to, Artificial Intelligence and Machine Learning, Deep Learning, Computer Vision, Image Processing, Natural Language Processing, Data Science and Big Data Analytics, Internet of Things (IoT), Embedded Systems, Cybersecurity, Intelligent Systems, Robotics, Edge Computing, Cloud Computing, and Emerging Information Technologies. Contributions addressing novel methodologies, innovative architectures, optimization techniques, experimental evaluations, and real-world applications are particularly encouraged. ESAI’27 welcomes original and high-quality contributions presenting theoretical advances, methodological innovations, experimental investigations, case studies, and practical implementations relevant to the conference themes. The conference particularly encourages research that addresses current scientific and technological challenges, proposes innovative solutions, and demonstrates the potential impact of emerging technologies across different application domains, including healthcare, industry, smart cities, transportation, education, and environmental monitoring. All submitted papers will undergo a rigorous peer-review process conducted by experts in the relevant research fields. Submissions will be evaluated according to their originality, scientific and technical quality, methodological soundness, clarity of presentation, relevance to the conference topics, and potential contribution to the advancement of knowledge. This process aims to ensure a high-quality scientific program and promote the dissemination of reliable, innovative, and impactful research.

All submissions will be peer-reviewed by experts based on originality, clarity, and technical significance.

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