Journals

  • Journal of Modern Technology

    Journal of Modern Technology is an engineering international journal and aims to serve as a leading platform for the dissemination of innovative research and advancements in the modern technology contributing from Computer Science Engineering, Artificial Intelligence and Machine Learning, Electronics and Communication Engineering, Electrical Engineering, Green Energy Engineering, and aligned engineering disciplines.

    Format of Publication:

    Online

    Language of Publication:

    English 

    Subject: 

    Engineering

    Online ISSN: 3049-3102

    Major Scope: Computer Science Engineering, Artificial Intelligence and Machine Learning, Electronics and Communication Engineering, Electrical Engineering, Green Energy Engineering, and aligned engineering disciplines.

    Detailed Scope:

    Computer Science Engineering : Network Security and Intrusion Detection Systems, Cyber-Physical Systems and IoT Security, Human-Centric Computing and User Experience Design, 5G/6G Networks and Beyond, Distributed Ledger and Peer-to-Peer Systems, Quantum Computing Algorithms and Applications, Usability Engineering and Interaction Design, Application design & development, Ethical and Social Implications of Computing, E-Learning Technologies and Intelligent Tutoring Systems, etc.

    Artificial Intelligence (AI) and Machine Learning (ML): Artificial Intelligence and Machine Learning for various complex analysis, Explainable AI (XAI) and Interpretability,  Machine Learning and Deep Learning Architectures for various Applications, Image Segmentation and Reconstruction, AI and ML for Medical Imaging and Diagnostics, AI for Real-Time and Streaming Data Analysis, AI for Agriculture, Smart Cities, Homes, and Grids, Social and Economic Impacts of AI Deployment, Applications of AI and ML in Finance, Marketing, and Customer Retention, Big data analysis, Data Mining and Knowledge Discovery.

    Electronics and Communication Engineering: Design and Fabrication of Semiconductor Devices, Wearable Electronics and Smart Devices, VLSI Design and Nanoelectronics, Next-Generation Network Architectures and Protocols, Embedded Systems, Signal Processing and Applications, Advanced Communication Technologies, Optoelectronics and Photonics, Interdisciplinary Research in Electronics and Communication, etc.

    Electrical Engineering: Advanced Power Generation Technologies,  Intelligent Monitoring, Protection, and Control of Grids, Electric Motors and Generators, Electric Drives, Power Electronics for Electric Vehicles and Grid Integration, Integration of Renewables in Smart Grids and Microgrids, Advanced Energy Storage Technologies, Energy Efficiency and Demand-Side Management, Electrification of Public Transport Systems, Real-Time Simulation and Digital Twin Technologies, Interdisciplinary Research in Power and Energy, etc.

    Green Energy Engineering: Renewable Energy Sources, Green Energy Technologies, Hybrid Energy Storage Solutions for Renewable Integration, Design and Optimization of Energy Conversion Devices,  Energy Harvesting and Waste-to-Energy Solutions, Renewable Energy Solutions for Climate Change Mitigation, Policies and Regulatory Frameworks for Sustainable Energy, Applications of Renewable Energy in Industry and Agriculture, etc.

  • Journal of Computing and Data Technology

    About the Journal
    The Journal of Computing and Data Technology (JCDT) is an international, peer-reviewed journal dedicated to publishing high-quality research and advancements in computing, computer science engineering, data science, machine learning, and emerging technologies. The journal aims to provide a platform for researchers, practitioners, and academicians to disseminate innovative ideas, theoretical developments, and practical applications in the field.

    Format of Publication:

    Online

    Language of Publication:

    English 

    Subject: 

    Engineering


    Scope
    JCDT invites original research articles, review papers, and case studies in, but not limited to, the following areas:
    Artificial Intelligence and Machine Learning
    Big Data Analytics and Data Science

    Data Processing Techniques
    Cloud Computing and Edge Computing
    Internet of Things (IoT)
    Cybersecurity and Cryptography
    High-Performance Computing
    Quantum Computing
    Computational Intelligence
    Data Mining and Knowledge Discovery
    Blockchain Technology and Applications
    Software Engineering and Algorithms
    Computer Vision and Image Processing
    Human-Computer Interaction
    Robotics and Automation
    Natural Language Processing (NLP)