Fahad Aslam is a dedicated academic, researcher, and academic quality liaison currently serving as a Lecturer in the Department of Computer Science and the NCEAC Focal Person at My University, Japan Road, Islamabad. He plays a key role in coordinating with the National Computing Education Accreditation Council (NCEAC) for ensuring program accreditation and academic quality assurance.
He is pursuing his Ph.D. in Computer Science (2022–to date) at Universiti Malaysia Terengganu (UMT), Malaysia, under the MIS scholarship. His doctoral research focuses on the application of Artificial Intelligence in genomic data analysis, particularly within the context of marine biology.
He earned his MS in Computer Science in 2019 from Allama Iqbal Open University (AIOU), Islamabad, where his research centered on the Internet of Things (IoT), with a specific focus on the rehabilitation of stroke patients using accelerometer sensors.
 
Research Interests
 
  • Artificial Intelligence
  • Internet of Things (IoT)
  • Biomedical Data Analysis
  • Smart Healthcare Systems
  • Genomic Data Processing
  • Machine Learning Applications
 
Academic Qualifications
  • Ph.D. in Computer Science (2022 – Present)
             Universiti Malaysia Terengganu (UMT), Malaysia
             Research Area: Artificial Intelligence in Genomic Data Analysis
 
  • MS in Computer Science (2019)
              Allama Iqbal Open University (AIOU), Islamabad
              Research Area: IoT-based Rehabilitation Systems
 
Publications
 
  • Aslam, F., & Aplop, F. (2025). Advancing Marine Genomics: The Role of Deep Learning in Deciphering Chelonia mydas Genetic Data. Trends in Sciences, 22(3), 9149-9149.
  • Iqbal, S., Aslam, F., Naseem, A., & Aslam, W. (2025). Role of Fibroblast Growth Factor Pathway Receptor Genes in Breast Cancer. Malaysian Journal of Fundamental and Applied Sciences, 21(1), 1654-1668.
  • Khan, S., Noor, S., Javed, T., Naseem, A., Aslam, F., AlQahtani, S. A., & Ahmad, N. (2025). XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites. BioData Mining, 18, 12.
  • Rehman, F., Aslam, W., Aslam, F., Nazar, S., Nawaz Khan, F., & Naseem, A. (2020). An Efficient Anomaly Detection System for E-commerce Pricing Using Machine Learning Techniques. Journal of Advanced Research in Dynamical and Control Systems. Link
  • Fahad Aslam et al. (2021). Computers, its Usage and Impact on Early Children’s Educational Manners Post Pandemic Legacy. International Journal of Computational Intelligence in Control, 13(2).
  • Aslam, F., Fatima Kayani, Tahir Javed, & Wasiq Aslam. (2022). IoT Based Efficient Smart Shopping Cart Using Radio Frequency Identification (RFID). Journal of Policy Research, 8(3), 467–472. DOI: 10.5281/zenodo.7619850
 

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MY University is a springboard for learning. It is committed to high quality teaching with a thriving interactive culture. That's why we have established a strong support system between students and staff. They work on professionalism, teamwork, respect, integrity, mentorship, systems thinking and communication skills. We intend to recruit a diverse intake of students – the best and the truest of a kind – as it is our vision to see the institution par excellence in the days ahead.