Journals

  • International Journal of Data Processing & Networking

    International Journal of Data Processing & Networking (IJDPN) is a peer-reviewed, open-access international journal dedicated to publishing high-quality research in data processing, artificial intelligence, networking, cybersecurity, cloud computing, and emerging digital technologies.

    The journal provides a platform for researchers, academicians, industry professionals, and practitioners to publish original research, review articles, technical notes, and case studies that contribute to scientific and technological advancement.

    Journal Highlights

    ✔ Peer-Reviewed

    ✔ Open Access

    ✔ Quarterly Publication

    ✔ International Editorial Board

    ✔ DOI Assignment

    ✔ Rapid Editorial Process

    Research Areas

    • Artificial Intelligence

    • Machine Learning

    • Data Processing

    • Computer Networks

    • Cloud Computing

    • Cyber Security

    • Internet of Things

    • Blockchain

    • Big Data Analytics

    • Edge Computing

    • Data Privacy

    Our Mission

    To publish rigorous, innovative, and impactful research that bridges academia and industry while advancing knowledge in modern computing and networking technologies.

  • UI Conference Series: Artificial Intelligence and Emerging Technologies (UI: CAET)

    UI Conference Series: AI and Emerging Technologies (UI: CAET) is a distinguished platform that brings together cutting-edge developments in artificial intelligence, machine learning, deep learning, and transformative emerging technologies. This conference series is designed to facilitate academic exchange and collaboration among researchers, academic professionals, and postgraduate students across related disciplines.

    The series follows a strict double-blind peer-review process and upholds the ethical guidelines of the Committee on Publication Ethics (COPE) to ensure the highest quality in scholarly communication. It is fully open-access, promoting global visibility and accessibility.