We are pleased to invite researchers, academicians, industry professionals, and practitioners to submit their original research contributions to the International Conference on Smart Computing for Sustainable Development (ICSCSD ). This conference aims to bring together experts from diverse domains to discuss innovative smart computing solutions for achieving global sustainability goals.

Conference Tracks:

We welcome papers in, but not limited to, the following areas:

    Track 1: Artificial Intelligence & Machine Learning for Sustainability
        AI-driven sustainable solutions
        Explainable AI for decision-making
        Machine learning applications in environmental monitoring
        AI for predictive analytics in smart cities
    Track 2: IoT, Edge & Cloud Computing for Smart Systems
        IoT-enabled smart infrastructure
        Edge computing for real-time applications
        Cloud-based solutions for sustainability
        Sensor networks and intelligent data processing
    Track 3: Blockchain & Cybersecurity for Sustainable Development
        Blockchain applications in green energy & supply chains
        Cybersecurity challenges in smart systems
        Decentralized finance (DeFi) and sustainability
        Secure communication protocols for IoT
    Track 4: Sustainable Smart Cities & Infrastructure
        Intelligent transportation systems
        Smart grids and energy-efficient technologies
        Green buildings and urban development
        GIS and remote sensing for smart city planning
    Track 5: Sustainable Healthcare & Biomedical Innovations
        AI and IoT in healthcare
        Smart medical devices and remote monitoring
        Personalized medicine and digital health
        Sustainable biomedical waste management
    Track 6: Renewable Energy & Smart Grid Technologiesy
        Smart grids and energy optimization
        AI-driven energy forecasting
        Sustainable battery technologies
        Integration of renewable energy sources
    Track 7: Data Science & Big Data Analytics for Sustainability
        Sustainable data centers and storage
        Big data analytics for environmental monitoring
        Predictive modeling for disaster management
        Real-time analytics for smart applications
    Track 8: Robotics & Automation for Sustainable Industries
        AI-powered industrial automation
        Robotics for waste management
        Sustainable manufacturing using automation
        Human-robot collaboration for green production
    Track 9: Communication & Networking for Smart Systems
        6G and beyond for sustainable connectivity
        Low-power communication protocols
        Smart vehicular networks
        Satellite-based communication for sustainability

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.