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Dr. Tahir Alyas

Associate Professor

Status: Active

Dr. Tahir Alyas

Dr. Tahir Alyas

Associate Professor

ResearchGate Google Scholar Scopus ORCID

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 7 of 8

OpenAlex
  1. S. Abbas, T. Alyas, A. Athar, M. A. Khan, A. Fatima, and W. U. Khan, "Cloud Services Ranking by measuring Multiple Parameters using AFIS,", ICST Transactions on Scalable Information Systems, 2019, doi: 10.4108/eai.13-7-2018.159354.
    1
    Open Access
  2. N. Iqbal, S. Abbas, M. A. Khan, T. Alyas, A. Fatima, and A. Ahmad, "An RGB Image Cipher Using Chaotic Systems, 15-Puzzle Problem and DNA Computing,", IEEE Access, 2019, doi: 10.1109/access.2019.2956389.
    49
    Open Access
  3. M. A. Saleem, R. Ahmad, T. Alyas, M. Idrees, Asfandayar, A. Farooq, A. Shahid, and K. Ali, "Systematic Literature Review of Identifying Issues in Software Cost Estimation Techniques,", International Journal of Advanced Computer Science and Applications, 2019, doi: 10.14569/ijacsa.2019.0100844.
    6
    Open Access
  4. M. Muhammad, T. Alyas, F. Ahmad, F. Butt, W. M. Qazi, and S. Saqib, "An analysis of security challenges and their perspective solutions for cloud computing and IoT,", ICST Transactions on Scalable Information Systems, 2018, doi: 10.4108/eai.23-10-2020.166718.
    8
    Open Access
  5. A. Amjad, T. Alyas, U. Farooq, and M. I. Tariq, "Detection and mitigation of DDoS attack in cloud computing using machine learning algorithm,", ICST Transactions on Scalable Information Systems, 2018, doi: 10.4108/eai.29-7-2019.159834.
    32
    Open Access
  6. N. Tabassum, M. S. Khan, S. Abbas, T. Alyas, A. Athar, and M. Khan, "Intelligent reliability management in hyper-convergence cloud infrastructure using fuzzy inference system,", ICST Transactions on Scalable Information Systems, 2018, doi: 10.4108/eai.13-7-2018.159408.
    10
    Open Access
  7. T. Alyas, "Cloud Evolution Management Using Intelligent Cloud Ecosystem (ICE),", Dissertation, 2018, View source.
    1
  8. Q. H. Khan and T. Alyas, "Modeling Emotional Mutation and Evolvement Using Genetic Algorithm in Agency,", Lahore Garrison University Research Journal of Computer Science and Information Technology, 2017, doi: 10.54692/lgurjcsit.2017.010228.
    1
    Open Access
  9. T. Alyas, "A Quantum Optimization Model for Dynamic Resource Allocation in Cloud Computing,", Lahore Garrison University Research Journal of Computer Science and Information Technology, 2017, doi: 10.54692/lgurjcsit.2017.01015.
    0
    Open Access
  10. F. Ahmad, S. Naseem, T. Alyas, N. Tabassum, W. A. Khan, and U. Hameed, "Forecasting of Intellectual Capital by Measuring Innovation Using Adaptive Neuro-Fuzzy Inference System,", International Review of Applied Sciences, 2015, View source.
    1