PROFILE SUMMARY

Dr. Ghulam Mustafa holds a Ph.D. in Computer Science from the University of Engineering and Technology (UET), Taxila, Pakistan, and an M.S. in Computer Science with distinction from Capital University of Science and Technology (CUST), Islamabad, where he was awarded a Gold Medal. During his BS in Software Engineering at COMSATS University, Abbottabad, he earned two Gold Medals by securing first position at both the campus level and across all seven campuses of CUI in 2017. With over seven years of experience across academia and industry, he serves as Assistant Professor and Head of the Department of Computer Science at Shifa Tameer-e-Millat University (STMU), Islamabad. Previously, he spent five years in teaching roles at CUST, Islamabad, and gained industry experience as a Frontend Web Designer and Backend Developer at A&F Solution Software House, alongside active freelance software development in Python, Java, and C++.

EDUCATIONAL QUALIFICATIONS

TEACHING EXPERIENCE

MANAGEMENT EXPERIENCE

HONORS & AWARDS

• Gold Medal (MS Computer Science): Awarded by Capital University of Science and Technology (CUST), Islamabad.
• Chancellor’s Honor Roll: Awarded for achieving a 4.00 GPA in the first semester of MS Computer Science.
• Dean’s Honor Roll: Awarded for achieving a GPA above 3.50 in the second semester of MS Computer Science.
• Campus Gold Medal: Awarded by COMSATS University, Abbottabad (2017).
• Institute Gold Medal: Awarded by COMSATS University across all seven campuses (2017).
• Best Performance Certificate: Awarded by COMSATS University, Abbottabad across seven consecutive semesters for academic excellence.
• Prime Minister’s Laptop Scheme: Awarded a laptop by HEC based on academic performance.

RESEARCH AREAS & INTERESTS

• Scientometrics & Researcher Impact Assessment
• Data Mining & Information Retrieval
• Machine Learning & Deep Learning
• Document Classification
• Generative AI
• Autonomous Vehicles & Industrial Maintenance
• AI in Medical Domain

RESEARCH SUPERVISION (PhD & MS THESES)

1. [PhD – In Progress] An Empirical Study on Developing a Novel Social Network-Based Author Ranking Index/Indices Using Statistical Analysis and Deep Learning.
2. [PhD – In Progress] Tracing Retractions in Academic Publications: A Structural and Semantic Approach to Enhance Publication Integrity.
3. [PhD – In Progress] Optimizing Multi-Objective Test Suite Reduction for Efficient Regression Testing Using Search Algorithms.
4. [PhD – In Progress] A Robust Multi-Domain Framework for Sentiment Analysis with Sarcasm and Irony Interpretation.
5. [MS – Completed] Proposing Novel Indices for Identifying Influential Authors Across Domain: A Framework Integrating Bibliometric Metrics with Statistical Models.
6. [MS – Completed] Detecting the Cascade of Article Retractions Through the Identification Error Flow of Methodological.
7. [MS – Completed] A Scientometrics Approach to Researcher Impact Assessment using Publication Venues Rankings.
8. [MS – In Progress] Mental Health Analytics via Psychoinformatics: Leveraging Generative AI and Behavioral Data for Early Detection of Psychological Disorders.
9. [MS – In Progress] Explainable Edge-Deployable Transformers with Adaptive Compression and Reinforcement Learning for Sustainable Predictive Maintenance in GenAI-Enhanced Digital Twins.
10. [MS – In Progress] GlassBox News: An Interpretable RAG Framework for Synthesising and Auditing Conflicting News Sources.
11. [MS – In Progress] Improving Ethical Decisions of Self-Driving Cars in Rain and Fog: Using Image Enhancement and YOLO to Solve the Trolley Problem.

JOURNAL PUBLICATIONS

1. Mustafa, G., Usman, M., Yu, L., Afzal, M. T., Sulaiman, M., & Shahid, A. (2021). Multi-label classification of research articles using Word2Vec and identification of similarity threshold. Scientific Reports, 11(1), 21900.
2. Shah, S. M. A. H., Ullah, A., Iqbal, J., Bourouis, S., Ullah, S. S., Hussain, S., … & Mustafa, G. (2023). Classifying and localizing abnormalities in brain MRI using channel attention based semi-Bayesian ensemble voting mechanism and convolutional auto-encoder. IEEE Access, 11, 75528–75545.
3. Usman, M., Mustafa, G., & Afzal, M. T. (2021). Ranking of author assessment parameters using logistic regression. Scientometrics, 126(1), 335–353.
4. Mustafa, G., Rauf, A., Ahmed, B., Afzal, M. T., Akhunzada, A., & Alharthi, S. Z. (2023). Comprehensive evaluation of publication and citation metrics for quantifying scholarly influence. IEEE Access, 11, 65759–65774.
5. Mustafa, G., Usman, M., Afzal, M. T., Shahid, A., & Koubaa, A. (2021). A comprehensive evaluation of metadata-based features to classify research paper’s topics. IEEE Access, 9, 133500–133509.
6. Ahmed, B., Wang, L., Mustafa, G., Afzal, M. T., & Akhunzada, A. (2023). Evaluating the effectiveness of author-count based metrics in measuring scientific contributions. IEEE Access, 11, 101710–101726.
7. Mustafa, G., Rauf, A., Al-Shamayleh, A. S., Sulaiman, M., Alrawagfeh, W., Afzal, M. T., & Akhunzada, A. (2023). Optimizing document classification: unleashing the power of genetic algorithms. IEEE Access, 11, 83136–83149.
8. Mustafa, G., Rauf, A., Al-Shamayleh, A. S., Ahmed, B., Alrawagfeh, W., Afzal, M. T., & Akhunzada, A. (2023). Exploring the significance of publication-age-based parameters for evaluating researcher impact. IEEE Access, 11, 86597–86610.
9. Ahmed, B., Wang, L., Al-Shamayleh, A. S., Afzal, M. T., Mustafa, G., Alrawagfeh, W., & Akhunzada, A. (2023). Machine learning approach for effective ranking of researcher assessment parameters. IEEE Access, 11, 133294–133312.
10. Mustafa, G., Rauf, A., Al-Shamayleh, A. S., Afzal, M. T., Waqas, A., & Akhunzada, A. (2024). Defining quantitative rules for identifying influential researchers: Insights from mathematics domain. Heliyon, 10(9).
11. Mustafa, G., Rauf, A., & Afzal, M. T. (2024). GK index: bridging Gf and K indices for comprehensive author evaluation. Knowledge and Information Systems, 66(9), 5203–5238.
12. Mustafa, G., Rauf, A., & Afzal, M. T. (2025). Enhancing author assessment: an advanced modified recursive elimination technique (MRET) for ranking key parameters and conducting statistical analysis of top-ranked parameter. International Journal of Data Science and Analytics, 20(2), 1461–1483.
13. Ahmed, B., Wang, L., Hussain, W., Mustafa, G., & Afzal, M. T. (2025). Investigating scholarly indices and their contribution to recognition patterns.