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Dr. Tahir Alyas

Associate Professor

Status: Active

Dr. Tahir Alyas

Dr. Tahir Alyas

Associate Professor

Research Interests

Artificial Intelligence, Machine Learning. Deep Learning

Biography

Dr. Tahir Alyas is Director ORIC and Associate Professor of Computer Science at Lahore Garrison University, Pakistan. He holds a PhD in Computer Science and specializes in Artificial Intelligence, Blockchain, Cloud Computing, Cybersecurity, Federated Learning, and Digital Governance. He has published more than 55 research papers in high-impact international journals, including Scientific Reports, IEEE Access, Sensors, and Frontiers. Dr. Alyas has supervised numerous postgraduate research projects and secured several national and international research grants. He serves as a reviewer for leading journals published by IEEE, Springer Nature, MDPI, and Tech Science Press and is a Senior Member of IEEE. His current research focuses on Explainable AI, Large Language Models, Healthcare Informatics, Smart Cities, and Blockchain-enabled digital transformation.

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 73
Total Citations 1,373
h-index 23
i10-index 39

Recent Publications

73 publications - Page 2 of 8

OpenAlex
  1. Q. Abbas, T. Alyas, T. Alghamdi, A. B. Alkhodre, S. S. Albouq, M. Niazi, and N. Tabassum, "Redefining governance: a critical analysis of sustainability transformation in e-governance,", Frontiers in Big Data, 2024, doi: 10.3389/fdata.2024.1349116.
    8
    Open Access
  2. S. U. Warsi, S. Mohsin, M. Asif, A. Hassan, R. Khan, and T. Alyas, "A Hybrid Approach for Heart Disease Prediction using Genetic Algorithm and SVM,", Article, 2024, doi: 10.1109/icacs60934.2024.10473308.
    12
  3. S. Muneer, T. M. Ghazal, T. Alyas, M. A. Raza, S. Abbas, O. H. AL‐Zoubi, and O. Ali, "Explainable AI-Driven Chatbot System for Heart Disease Prediction Using Machine Learning,", International Journal of Advanced Computer Science and Applications, 2024, doi: 10.14569/ijacsa.2024.0151227.
    25
    Open Access
  4. S. Maqsood, S. Niazi, T. Alyas, H. S. Ghaffar, M. Sohail, and S. Sakib, "Navigating the Role of Emotional Health and Positive Life Outlook on Work‐Life Balance in Professional Married Women,", Journal of Theoretical Social Psychology, 2024, doi: 10.1155/2024/1159667.
    1
    Open Access
  5. Q. Abbas, G. Ahmad, T. Alyas, T. Alghamdi, Y. Alsaawy, and A. Alzahrani, "Revolutionizing Urban Mobility: IoT-Enhanced Autonomous Parking Solutions with Transfer Learning for Smart Cities,", Sensors, 2023, doi: 10.3390/s23218753.
    24
    Open Access
  6. R. Joseph, R. Sharma, M. I. Sarwar, I. Khan, A. S. Akram, T. Alyas, S. Atif, and C. Paramaiah, "Triple-Entry Accounting (TEA) and Blockchain Implementation in Accounting and Finance - A Survey,", Article, 2023, doi: 10.1109/icbats57792.2023.10111259.
    10
  7. N. Tabassum, A. Namoun, T. Alyas, A. Tufail, M. I. Taqi, and K. Kim, "Classification of Bugs in Cloud Computing Applications Using Machine Learning Techniques,", Applied Sciences, 2023, doi: 10.3390/app13052880.
    21
    Open Access
  8. M. I. Sarwar, Q. Abbas, T. Alyas, A. Alzahrani, T. Alghamdi, and Y. Alsaawy, "Digital Transformation of Public Sector Governance With IT Service Management–A Pilot Study,", IEEE Access, 2023, doi: 10.1109/access.2023.3237550.
    48
    Open Access
  9. I. Mahmood, T. Alyas, S. Abbas, T. Shahzad, Q. Abbas, and K. Ouahada, "Intrusion Detection in 5G Cellular Network Using Machine Learning,", Computer Systems Science and Engineering, 2023, doi: 10.32604/csse.2023.033842.
    7
    Open Access
  10. T. Alyas, T. M. Ghazal, B. S. Alfurhood, G. F. Issa, O. A. Thawabeh, and Q. Abbas, "Optimizing Resource Allocation Framework for Multi-Cloud Environment,", Computers, materials & continua/Computers, materials & continua (Print), 2023, doi: 10.32604/cmc.2023.033916.
    27
    Open Access