The KALINGACONF 2026 Conference invited call for the Artificial Intelligence, Machine Learning, Blockchain, Data Science and Deep learning 

Track 1: Artificial Intelligence, Machine Learning, Blockchain, and Cybersecurity

• AI in Healthcare and Telemedicine
• Machine Learning for Smart Cities
• AI Applications in Agriculture and Food Security
• Ethical AI and Responsible Use
• AI for Disaster Management and Mitigation
• Blockchain in Financial Services and FinTech
• Cybersecurity for Critical  Infrastructure Blockchain for Supply Chain Management
• Digital Identity and Secure Authentication

Track 2: Data Science and Digital Transformation 

• Data-Driven Decision Making in Public Policy
• Big Data in Healthcare and Genomics
• Predictive Analytics for Environmental Sustainability
• Data Privacy and Ethics in Big Data
• Digital Transformation in Education and E-Learning
• IT Solutions for Efficient Healthcare Management
• Cloud Computing and Virtualization in Business

Theme 3: AI&ML on Deep Learning & Neural Networks

    Advances in Neural Network Architectures
    Natural Language Processing (NLP) and Language Models
    Computer Vision and Image Understanding
    Generative Models and Creativity
    Optimization, Training Techniques & Efficiency
    Deep Learning Applications in Industry
    Deep Learning on Edge and Mobile Devices
    Explainable and Responsible Deep Learning
    Self-Supervised, Unsupervised, and Reinforcement Learning
    Security and Robustness in Deep Learning

The scope of the conference are based on the following topics but not limited to :

    Big Data Analytics
    Networks, IoT and Cyber Security
    Cluster, Cloud, & Grid Computing
    Data Mining, Neural Networks and Deep Learning
    Communication and Networking
    Image / Video / Multimedia Signal Processing
    Pattern Recognition and Object Tracking
    Antennas, Propagation and Computational EM
    RF/Millimeter-wave Circuits and Systems
    Analog and mixed signal ICs
    MEMS and semiconductor sensors
    Power Electronics