About the Journal

The Kashf Journal of Multidisciplinary Research, published by the Kashf Institute of Development & Studies, is an HEC-recognized multidisciplinary journal. It serves as a platform for scholarly exploration across various disciplines, accepting research papers that undergo a rigorous peer-review process. KJMR is a platform for scholarly exploration across various disciplines. It accepts research papers that undergo a rigorous peer-review process and publishes findings relevant to academics, policymakers, and practitioners. This journal encourages cross-pollination of ideas between different fields, potentially impacting areas like social sciences, humanities, natural sciences, and engineering. Overall, it contributes to advancing knowledge, informing practice, and stimulating innovation across a broad spectrum of disciplines.

e-ISSN: 3007-200X

p-ISSN: 3007-1992

Announcements

Call for Papers: Kashf Journal of Multidisciplinary Research (KJMR)

2025-01-18

The Kashf Journal of Multidisciplinary Research (KJMR) invites submissions of high-quality, original research articles, reviews, and case studies for its upcoming monthly issues. KJMR aims to promote academic excellence and foster innovation by publishing research from a wide range of disciplines.

Focus Areas

The journal welcomes submissions in the following multidisciplinary areas:

  • Social Sciences
  • Humanities
  • Natural Sciences
  • Engineering and Technology
  • Health Sciences
  • Business and Management
  • Education
Read more about Call for Papers: Kashf Journal of Multidisciplinary Research (KJMR)

Current Issue

Vol. 2 No. 06 (2025): Jun 2025
View Vol. 2 No. 06 (2025): Jun 2025
Published: 2025-06-01

Social Sciences

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    AN EMPIRICAL ANALYSIS OF THE INFLUENCE OF ISLAMIC FINANCE ON PAKISTAN’S ECONOMIC GROWTH FROM 2015 TO 2024

    Hafiz Muhammad Abdullah Khan, Riza Ali Shah, Dr Muhammad Muzammil (Author)
    1-11
    DOI: https://doi.org/10.71146/kjmr478

Natural Sciences

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    THE PREVALENCE, EPIDEMIOLOGY AND RISK FACTORS OF TRYPANOSOMIASIS DISEASE IN BUFFALO

    Muhammad Imran Ul Haq, Asad Rehman, Tooba, Muhammad Imran Malik, Gul e Lala, Abuzar Mehdi Khan (Author)
    29-42
    DOI: https://doi.org/10.71146/kjmr481
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    A QUALITATIVE CASE STUDY OF CRITICAL SUCCESS FACTORS IN IMPLEMENTING ERP AT INDUS HOSPITAL & HEALTH NETWORK

    Faheem Ahmed Jhatial, Syed Muddasir Hussain, Noor E Sahar (Author)
    1-16
    DOI: https://doi.org/10.71146/kjmr477
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    HEAVY METAL REMOVAL FROM INDUSTRIAL EFFLUENTS USING GREEN-SYNTHESIZED NANOMATERIALS

    Abdul Qadeer Leghari, Muhammad Umair, Nusrat Bibi, Ishtiaque Ahmed, Muqaddas Munir, Sidra tul Muntaha, Ashique Ali Chohan, Raheel Ahmad, Muhammad Kamran (Author)
    17-28
    DOI: https://doi.org/10.71146/kjmr476

Engineering and Technology

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    DETECTING ONLINE HARASSMENT BASED ON SOCIAL MEDIA TEXT BY USING ENSEMBLE LEARNING

    Hamna Iqbal, Muhammad Sabir, Areeba Razzaq, Jahanzeb Munir (Author)
    48-64
    DOI: https://doi.org/10.71146/kjmr485
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    BIZPROBE: A GEOLOCATION-DRIVEN AND SCALABLE FRAMEWORK FOR LOCAL BUSINESS INTELLIGENCE AND OUTREACH AUTOMATION

    Waqas Ahmad, Salman Qadri, Muhammad Kashif Majeed, Suleman Saleem, Israr Hussain, Nasir Umer (Author)
    65-80
    DOI: https://doi.org/10.71146/kjmr483
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    INTEGRATING TEMPORAL DYNAMICS IN FACIAL EMOTION RECOGNITION USING HYBRID CNN-RNN MODELS FOR ENHANCED HUMAN-COMPUTER INTERACTION

    Muhammad Kamran Abid, Rabia Sajjad, Muhammad Fuzail, Ahmad Naeem, Naeem Aslam, Kiran Shahzadi (Author)
    1-15
    DOI: https://doi.org/10.71146/kjmr463
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    NEXT-GENERATION FOOD RECOMMENDATION SYSTEM: A REAL-TIME, FEEDBACK-DRIVEN CHATBOT SOLUTION FOR RESTAURANTS

    M.Sanan Nawaz, Ali Hassan, Abu Huraira, Israr Hussain, Salman Qadri, Javeria Jabeen (Author)
    16-29
    DOI: https://doi.org/10.71146/kjmr480
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    ELECTROCHEMICAL ANALYSIS OF GRAPHENE NANOPARTICLE AND ACTIVATED CARBON COMPOSITE FOR FLEXIBLE ENERGY STORAGE APPLICATIONS

    M. Shahzad Khan, Shah Fahad, Syed Waqar Shah (Author)
    30-47
    DOI: https://doi.org/10.71146/kjmr479

Health Sciences

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    PREDICTING THE RISK OF CARDIOVASCULAR DISEASES USING DEEP LEARNING MODELS

    Kiran Shahzadi, Muhammad Kamran Abid, Ahmad Naeem, Muhammad Fuzail, Naeem Aslam, Rabia Sajjad (Author)
    1-16
    DOI: https://doi.org/10.71146/kjmr475

Education

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    IMPACT OF USE OF ARTIFICIAL INTELLIGENCE (AI) ON ACADEMIC PERFORMANCE IN STUDENTS OF HIGHER INSTITUTION: A CASE STUDY

    Aminu Na Allah , Bashar Sani , Faruku Muhammad Yabo, Fatima Usman , Yusuf Yahaya Miya (Author)
    1-6
    DOI: https://doi.org/10.71146/kjmr482
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