About the Journal

UMT Artificial Intelligence Review (UMT-AIR) is a double-blind peer-reviewed biannual journal that provides a wide variety of perspectives on the theory and practices of work in the realm of AI. We welcome research papers on foundational and applied work, as well as case studies. UMT-AIR also invites studies on critical analytical studies on AI applications, which present an in-depth evaluation of the AI tools and methods being employed.

Announcements

Current Issue

Vol. 5 No. 2 (2025): Fall 2025
Published: 2025-12-07

Articles

  • Towards Robust and Explainable Early Rumor Detection: A Noise- Aware Graph Learning Framework

    ABU BAKAR SHABBIR, Usama Husnain
    1-22
    DOI: https://doi.org/10.32350.umt-air.52.01

  • A Hybrid Feature-Based Machine Learning Framework for Automated Brain Tumor Classification

    Anam Naveed, Mamoona Sadia
    23-40
    DOI: https://doi.org/10.32350.umt-air.52.02

  • Internal, Robust Hybrid Model for Vitiligo Skin Lesion Detection: Integrating Grey Wolf and Particle Swarm Optimization for Enhanced Feature Extraction and Classification

    Shardha Nand, Asif Raza , Usman Amjad, Nancy Alias Shivani Kumari
    41-60
    DOI: https://doi.org/10.32350.umt-air.52.03

  • Streamlining Recruitment with AI: Design and Implementation of a Web Based Smart Hiring System

    Aqsa Owais, Sohail Ahmed Shah Syed, Syeda Rabiya Iftikhar, Areeba Jawaid, Dua Abid
    61-73
    DOI: https://doi.org/10.32350.umt-air.52.04
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