Mr. HAFIZ ABDUL REHMAN
Basic Information
Mr. Hafiz Abdul Rehman
Lecturer, Faculty of Computing
Lahore University of Biological and Applied Sciences (UBAS), Lahore
Email: hafiz.abdulrehman@ubas.edu.pk
LinkedIn: https://www.linkedin.com/in/ha-rehman/
Google Scholar: https://scholar.google.com/citations?user=MXWJ2vcAAAAJ&hl=en
Profile Summary
Hafiz Abdul Rehman is a Lecturer in Computer Science with an MS in Computer Science and several years of academic, teaching, and research experience. His research interests include computer vision, machine learning, deep learning, information hiding, and bioinformatics, with a focus on developing intelligent and practical AI-driven solutions. He has teaching experience in machine learning, data structures and algorithms, database systems, and web technologies. He is actively engaged in academic teaching, research, and interdisciplinary initiatives involving artificial intelligence and emerging computing technologies.
Qualification
| Degree | Field/Thesis | Institution | Year |
|---|---|---|---|
| MS (CS) | Computer Vision | COMSAT | 2023 |
| BS (IT) | Computer Science | University of Education | 2018 |
| ICS | Computer Science | Islamia College Civil Lines | 2014 |
| Matric | Computer Science | BISE LHR | 2012 |
Academic / Teaching Experience
- Lecturer – UMT – 2023 -- 2026
Industry Experience
- Research Officer – KICS UET Lahore – 5 Years
Research Areas / Interests
- Machine Learning
- Deep Learning
- Computer Vision
- Information Hiding
- Bioinformatics
Research Supervision
MS Thesis (Co-Supervisor)
- Student: Usman Aslam - Title: Machine Generated Text and Image Detection using Fusion and Deep Learning - Institution: UMT - Year: 2026 - Status: Complete
- Student: Kiran Tariq - Title: Robust Chest X-Ray Disease Identification Through Deep Neural Networks on Heterogeneous Composite Datasets - Institution: UMT - Year: 2027 - Status: In Progress
Research Funding / Grants
| Project / Grant Title | Funding Source | Amount | Year |
|---|---|---|---|
Awards & Honors
- Merit Scholarship (2016) — University of Education
- Merit Scholarship (2017) — University of Education
Trainings & Certifications
- Prompt Engineering for ChatGPT — Vanderbilt University, 19 July 2026
- Introduction to AI — Google, 19 July 2026
- Introduction to Generative AI – Google Cloud – 30 July 2026
Professional & Institutional Service
- Reviewer — FIT/ Program Committee Member
Journal Publications
| Sr. | Citation | Year |
|---|---|---|
| 01 | Younis, H., Rehman, H. A., & Minghim, R. (2026). Somatic Mutation-Driven Cancer Stage Classification via Autoencoder Clustering and Explainable Deep Learning. IEEE Access, 14, 45213-45226. | 2026 |
| 02 | Anwar, S., Rashid, H. A. K., Ashraf, F., & Rehman, H. A. (2026). Explainable Hybrid Forex Trading: Integrating Fuzzy Price Action with AutoML. International Journal of Innovations in Science & Technology, 8(2), 825-842. | 2026 |
| 03 | Dewi, C., Arshed, M. A., Christanto, H. J., Rehman, H. A., Muneer, A., & Mumtaz, S. (2024). Enhancing weather scene identification using vision transformer. World Electric Vehicle Journal, 15(8), 373. | 2024 |
| 04 | Rehman, H. A., Bajwa, U. I., Raza, R. H., Alfarhood, S., Safran, M., & Zhang, F. (2024). Leveraging coverless image steganography to hide secret information by generating anime characters using GAN. Expert Systems with Applications, 248, 123420. | 2024 |
| 05 | Arshed, M. A., Rehman, H. A., Ahmed, S., Dewi, C., & Christanto, H. J. (2024). A 16× 16 patch-based deep learning model for the early prognosis of monkeypox from skin color images. Computation, 12(2), 33. | 2024 |
| 06 | Rehman, H. A., Ramzan, F., Basharat, Z., Shakeel, M., Khan, M. U. G., & Khan, I. A. (2021). Comprehensive comparative genomic and microsatellite analysis of SARS, MERS, BAT‐SARS, and COVID‐19 coronaviruses. Journal of Medical Virology, 93(7), 4382-4391. | 2021 |
Conference Publications
| Sr. | Citation | Year |
|---|---|---|
| 01 | Rehman, H. A., Ramzan, F., Basharat, Z., Shakeel, M., Khan, M. U. G., & Khan, I. A. (2021, November). Genome Scale Phylogenetic Analysis Differentiates SARS-CoV-2 Strains in Pakistani and Indian COVID-19 Patients with and without Travel History. In 2021 International Conference on Innovative Computing (ICIC) (pp. 1-9). IEEE. | 2021 |
| 02 | Mubeen, M., Arshed, M. A., & Rehman, H. A. (2021, October). Deepfirenet-a light-weight neural network for fire-smoke detection. In International Conference on Intelligent Technologies and Applications (pp. 171-181). Cham: Springer International Publishing. | 2021 |
Book Chapters
| Sr. | Citation | Year |
|---|---|---|
| 01 |
Languages & Interests
- Languages: English, Urdu
- Interests: Exploring emerging AI technologies, Building personal automation projects, Creating educational content, Reading Books, Listen Poetry
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