Call for Tracks

Abstract

This conference track explores the latest advances in Artificial Intelligence (AI) and Deep Learning for developing intelligent, secure, and autonomous systems across diverse application domains. It provides a platform for researchers, practitioners, and industry experts to present innovative methodologies, algorithms, and real-world applications that leverage AI to address emerging challenges in networked and data-driven environments. The track welcomes original research on machine learning and deep learning techniques, AI-driven cybersecurity solutions, intelligent network management and optimization, and AI-enabled Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems. It also highlights advances in AI-powered image analysis, including deep learning for medical imaging, computer-aided diagnosis, remote sensing, satellite image interpretation, and edge AI for real-time image processing. Emphasis is placed on scalable, trustworthy, and efficient AI solutions that support smart infrastructure, healthcare, environmental monitoring, and next-generation communication networks. Researchers are invited to submit high-quality contributions presenting theoretical developments, novel algorithms, experimental studies, system implementations, and interdisciplinary applications. The goal of this track is to foster collaboration among academia, industry, and government organizations, promoting the development of intelligent technologies that drive digital transformation, enhance security, and enable sustainable and resilient smart systems.