← Back to Researchers
Researcher Profile

Dr. Abdul Sattar

Assistant Professor

Status: Active

Dr. Abdul Sattar

Dr. Abdul Sattar

Assistant Professor

ResearchGate Google Scholar Scopus ORCID

Research Interests

Web Semantics, Artificial Intelligence,

Biography

Dr. Abdul Sattar is an Assistant Professor of Computer Science at Lahore Garrison University, Lahore, Pakistan. He earned his PhD from Universiti Kebangsaan Malaysia (UKM), a QS-ranked university, and is an HEC-approved supervisor. He has over 15 years of academic, research, software development, and administrative experience, having served at Lahore Garrison University, Khwaja Fareed University of Engineering & IT, Government Post Graduate College Rajanpur, Bahauddin Zakariya University Multan, and as a freelance software developer.
His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Ontology Engineering, and Knowledge Management. Dr. Sattar has authored numerous research publications in international journals and conferences, contributed to curriculum development and textbook authorship, and serves as a reviewer for leading journals including IEEE Access. He is actively involved in postgraduate supervision, academic leadership, and research journal management.

Year-wise Citations

Citations grouped by publication year from OpenAlex.

OpenAlex

Research Impact

OpenAlex metrics connected to the researcher's ORCID iD. Last synced Jun 03, 2026 11:32 PM.

OpenAlex
Total Publications 16
Total Citations 142
h-index 5
i10-index 4

Recent Publications

16 publications - Page 1 of 2

OpenAlex
  1. R. Haider, R. A. Khan, R. A. Khan, and A. Sattar, "Deep Learning for Intelligent Systems: Advancing Scalability, Explainability, and Real-World Applications,", Global Research Journal of Natural Science and Technology, 2026, doi: 10.53762/grjnst.04.02.20.
    0
    Open Access
  2. M. Habib, A. Sattar, M. J. Iqbal, and S. Saleem, "AI Driven Tutoring vs. Human Teachers Examining the on Student Teacher Relationship,", Review of Applied Management and Social Sciences, 2025, doi: 10.47067/ramss.v8i1.466.
    1
    Open Access
  3. Y. L. Khan, A. Sattar, S. A. Ullah, W. Rehman, S. Khan, R. Hussain, S. Aslam, Z. U. Rehman, M. Nawaz, and U. Gulshan, "Rice Husk Based Bio-composites,", Sustainable materials and technology, 2025, doi: 10.1007/978-981-96-1082-2_13.
    2
  4. S. Nadeem, N. Shahzad, S. Mehmood, M. S. Qureshi, A. Sattar, R. Liaquat, S. Shakir, M. I. Shahzad, and D. Pugliese, "Solution‐Processed Zinc‐Tin‐Based Ternary Oxide Electron Transport Layers for Planar Perovskite Solar Cells,", physica status solidi (a), 2024, doi: 10.1002/pssa.202400700.
    0
    Open Access
  5. U. Hameed, M. U. Rehman, A. Rehman, R. Damaševičius, A. Sattar, and T. Saba, "A deep learning approach for liver cancer detection in CT scans,", Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization, 2023, doi: 10.1080/21681163.2023.2280558.
    16
  6. A. Sattar, A. F. A. Khurram, and M. Asif, "Conceptualization, Development, and Validation of Teachers' Metacognitive Self-Consciousness Questionnaire (TMSQ): A Quantitative Approach,", Journal of Law & Social Studies, 2023, doi: 10.52279/jlss.05.02.338354.
    1
    Open Access
  7. A. Sattar, A. F. A. Khurram, and M. Asif, "Development and Validation of the Headteachers' Administrative Style Questionnaire (HASQ): A Tool for Assessing Leadership Practices,", Pakistan Journal of Humanities and Social Sciences, 2023, doi: 10.52131/pjhss.2023.1102.0514.
    0
    Open Access
  8. S. Daud, M. Ullah, A. Rehman, T. Saba, R. Damaševičius, and A. Sattar, "Topic Classification of Online News Articles Using Optimized Machine Learning Models,", Computers, 2023, doi: 10.3390/computers12010016.
    54
    Open Access
  9. A. Sattar, W. Khan, and A. Mahmood, "Need an Early Oil, Get Your Corporate Data in Shape,", Article, 2022, doi: 10.2118/211850-ms.
    0
  10. M. Ijaz, H. Muhammad, A. Sher, A. Sattar, M. Z. Saleem, and M. Asif, "Effect of Plant Extracts on Improvement of Crop Yield,", CABI eBooks, 2022, doi: 10.1079/9781789248098.0013.
    1