DSIN2026, is an international conference where theory, practices, and applications of Data Science and Intelligent Network Computing (DSIN) and related topics are presented and discussed. Original contributions are solicited on topics covered under broad areas such as (but not limited to):

    AI and Machine Learning in Robotics
    AI for Autonomous Systems
    AI for IoT and Edge Computing
    AI in Radar and Satellite Communication
    AI Powered Fault Design and Detection
    Applications of LLM
    Automated Machine Learning (AutoML)
    Blockchain and Distributed Ledger Technologies
    Cognitive Computing
    Cognitive Computing and Neuromorphic Systems
    CPS for Autonomous Systems
    Cyber Security
    Cyber-physical Systems & IoT
    Data Privacy and Security
    Data Representation and Feature Engineering
    DRONE Forensics
    DRONE Technology
    Edge AI & Computing
    Edge and Fog Computing in CPS/IoT
    Emerging Trends and Technologies
    Expert Systems
    Explainable AI and Model Interpretability
    Federated and Distributed Learning
    Federated Learning and Privacy-Preserving AI
    Green AI and Sustainable Computing
    Healthcare and Wearable IoT Systems
    Human-Robot Interaction (HRI)
    Industry 4.0 & 5.0
    Information Theory in Data Science
    Innovations in AI Hardware
    Intelligent Computing Techniques
    IoT-enabled Smart Systems
    Learning Systems and Adaptive Algorithms
    Malware Forensics
    Mathematical and Statistical Foundations
    Medical and Assistive Robotics
    Neural Networks and Deep Learning
    Quantum computing in Data Science
    Robotics in Agriculture
    SCADA / Industrial Control Systems
    Security and Privacy in IoT Networks
    Smart Power Grids
    Theoretical Advances in Machine Learning
    Uncertainty Quantification
    Underwater and Space Robotics

Prospective authors are invited to submit full, original research papers that have not been submitted, published, or are under consideration in any other conference or journal. Submissions must strictly adhere to this originality requirement. Papers should be prepared in electronic format (PDF only) and submitted through the CMT Conference Management System or via email to: 📧 dsin.chair@gmail.com