Emerging and intelligent technologies and systems represent the forefront of innovation in computing, communication, and automation. They combine advances in artificial intelligence, machine learning, the Internet of Things (IoT), cloud and edge computing, 5G/6G networks, robotics, and data science to create adaptive, efficient, and human-centered solutions. These technologies are transforming industries such as healthcare, transportation, energy, and smart cities by enabling intelligent decision-making, real-time responsiveness, and sustainable development. As they continue to evolve, emerging and intelligent systems are shaping the foundation of next-generation digital societies, offering both opportunities and challenges in terms of security, ethics, and large-scale deployment.

The International Conference on Emerging and Intelligent Technologies and Systems (EITS 2026) will bring together leading researchers, practitioners, and industry experts to present and discuss the latest advances, applications, and challenges in intelligent technologies and next-generation systems. EITS 2026 serves as a premier forum for innovation, cross-disciplinary collaboration, and knowledge exchange across academia and industry. We invite the submission of high-quality, original research papers describing innovative ideas, breakthrough results, and practical applications. with special interest in, but not limited to, the following:

    Artificial Intelligence, Machine Learning and Generative AI
        Generative AI and Large Language Models (LLMs)
        Explainable and Responsible AI
        Federated, Distributed, and Edge AI
        Reinforcement Learning and Autonomous Agents
        AI for Decision Support Systems
        Natural Language Processing and Computational Linguistics
        Multilingual and Low-Resource Language Models
        Human-Computer Interaction (HCI) and Assistive Technologies
        Conversational AI and Dialogue Systems
        Computational Language and Human-Centered Systems
        Prompt Engineering and Fine-tuning
        Multimodal LLMs
        Agentic AI

    Intelligent Communication, Networking and Computing Systems
        5G/6G Networks and Beyond
        Software-Defined Networking (SDN) and Network Function Virtualization (NFV)
        Internet of Things (IoT), Industrial IoT, and Smart Devices
        Cyber-Physical Systems and Edge/Fog Computing
        High-Performance Computing (HPC) and Distributed Systems
        Cloud-Native Architectures and Microservices
        Smart Sensors and Embedded Systems
        Big Data Analytics and Knowledge Graphs
        Data Mining, Information Retrieval, and Recommender Systems

    Cybersecurity and Trustworthy Systems
        AI for Security and Security for AI
        Privacy-Preserving Machine Learning
        Blockchain, Web3, and Decentralized Security Models
        Threat Detection, Intrusion Prevention, and Anomaly Detection
        Trustworthy AI Systems
        Adversarial Machine learning and Backdoor Attacks
        Network forensics using intelligent systems and data analytics

    Robotics, Intelligent Automation and Sustainable Systems
        Autonomous Vehicles and Drones
        Intelligent Manufacturing and Industry 4.0
        Robotics for Healthcare and Assistive Environments
        Sustainable and Emerging Applications
        Green Computing and Energy-Efficient Systems
        Digital Twins for Smart Cities, Energy, and Healthcare
        Smart Grid and Renewable Energy Integration
        Intelligent Transportation Systems

    Emerging Applications, Ethics, Society, and Governance
        Emerging Applications in Healthcare
        Emerging Applications in Education
        Emerging Applications in Agriculture
        AI Governance and Policy Frameworks
        Ethical, Legal, and Societal Implications of Intelligent Systems
        Human-Centered Design and Inclusive AI
        Global Collaboration for Emerging Technologies