Dr Ghulam Murtaza

Dr Ghulam Murtaza

  • Senior Lecturer
Department of Smart Computing and Cyber Resilience
  • School of Computing and Artificial Intelligence
Faculty of Engineering and Technology
SDGs Focus

Biography

Dr Ghulam Murtaza is a Senior Lecturer in Data Science at the Faculty of Engineering and Technology, 红杏视频 University, Malaysia. He holds a PhD in Computer Science (Data Mining) from the University of Malaya, where his doctoral research on deep learning鈥揵ased breast cancer detection produced multiple Q1 publications. He also holds an MS in Software Engineering and MSc/BSc (Hons) in Computer Science.

With more than two decades of combined academic, research, supervision and industry experience, Dr Murtaza has taught and supervised undergraduate, master鈥檚, and PhD students across Pakistan, Malaysia, and New Zealand. His research expertise spans Data Science, Business Analytics, Deep Learning, Computer Vision, Medical Image Analysis, Human Activity Recognition, and Wireless Sensor Networks. He has authored 14 Web of Science鈥搃ndexed journal articles (including 5 publications as first author), 6 conference publications, and has accumulated more than 1,000 citations with an h-index of 12.

Dr Murtaza has secured competitive research funding, including as Principal Investigator for a 红杏视频 University early career grant. He has also contributed as an editor of the Sukkur IBA Journal of Computing and Mathematical Sciences and served as session chair and reviewer at international conferences. His professional contributions are complemented by industry experience in software development as team leader.

Committed to advancing both research and education, Dr Murtaza actively fosters international collaborations and integrates emerging technologies into teaching and scholarly activities.

Academic & Professional Qualifications

  • PhD(Data Mining), University of Malaya, Malaysia (2021)
  • MSCS (Software Engineering), KIET Karachi, Pakistan (2013)
  • MSc Computer Science, University of Sindh, Pakistan (1997)
  • BSc (Hons) Computer Science University of Sindh, Pakistan (1995)

Research Interests

  • HPC, Machine Learning, Deep Learning
  • Digital Image Processing, Medical Image Analysis and Classification
  • Computer Vision
  • Data Science, Data Mining

Teaching Areas

  • Data Science
  • Business Intelligence
  • Computer Vision, Digital Image Processing
  • HPC, AI, Machine Learning, Deep Learning
  • Theory of Automata, Compiler Construction
  • Programming Fundamentals, OOP, Python, MATLAB

Courses Taught

  • Data Science, Data Mining and Knowledge Discovery
  • Business Intelligence
  • Artificial Intelligence
  • Computer Vision, Digital Image Processing
  • Advanced Machine Learning
  • Theory of Automata, Compiler Construction
  • C++, Python, JAVA
  • Software Engineering, SQA, SQE.
  • Research methodology

Notable Publications

  1. 2023 - Hameed, M.M., Ahmad, R., Kiah, L.-M., Murtaza, G., & Mazhar, N. (2023). OffSig-SinGAN: A Deep Learning-Based Image Augmentation Model for Offline Signature Verification. Computers, Materials \& Continua, 76(1), 1267--1289.  
  2. 2022 - Shagari, N. M., Salleh, R. B., Ahmedy, I., Idris, M. Y. I., Murtaza, G., Ali, U., & Modi, S. (2022). A two-step clustering to minimize redundant transmission in wireless sensor network using sleep-awake mechanism. Wireless Networks. doi: 10.1007/s11276-021-02885-8.
  3. 2021 - Hameed, M. M., Ahmad, R., Kiah, M. L. M., & Murtaza, G. (2021). Machine learning-based offline signature verification systems: A systematic review. Signal Processing: Image Communication, 93, 116139. doi: https://doi.org/10.1016/j.image.2021.116139.
  4. 2021 - Shagari, N. M., Idris, M. Y. I., Salleh, R. B., Ahmedy, I., Murtaza, G., & Sabri, A. Q. B. M. (2021). A hybridization strategy using equal and unequal clustering schemes to mitigate idle listening for lifetime maximization of wireless sensor network. Wireless Networks. doi: 10.1007/s11276-021-02608-z
  5. 2020 - Murtaza, G., Shuib, L., Wahab, A. W. A., Mujtaba, G., & Raza, G. (2020). Ensembled deep convolution neural network-based breast cancer classification with misclassification reduction algorithms. Multimedia Tools and Applications. doi: 10.1007/s11042-020-08692-1.
  6. 2020 - Alo, U. R., Nweke, H. F., Teh, Y. W., & Murtaza, G. (2020). Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System. 20(21). doi: 10.3390/s20216300.
  7. 2020 - Shagari, N. M., Idris, M. Y. I., Salleh, R. B., Ahmedy, I., Murtaza, G., & Shehadeh, H. A. (2020). Heterogeneous Energy and Traffic Aware Sleep-Awake Cluster-Based Routing Protocol for Wireless Sensor Network. IEEE Access, 1-1. doi: 10.1109/ACCESS.2020.2965206  
  8. 2019 - Murtaza, G., Shuib, L., Abdul Wahab, A. W., Mujtaba, G., Mujtaba, G., Nweke, H. F., . . . Azmi, N. A. (2019). Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges. Artificial Intelligence Review. doi: 10.1007/s10462-019-09716-5.  
  9. 2019 - Murtaza, G., Shuib, L., Mujtaba, G., & Raza, G. (2019). Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach. Multimedia Tools and Applications. doi: 10.1007/s11042-019-.7525-4
  10. 2024 - Ali, S. Murtaza, G. (2024), A Systematic Review on Sentiment Analysis for Sindhi Text, Baghdad Science Journal.
     

Achievements & Accolades

  1. Outcome-Based Education (OBE) trained for UG and PG courses syllabi design, since Sept 2025.
  2. NVIDIA certified for 鈥淒eep Learning Fundamentals鈥 since Aug 2025.
  3. Workshop attended on 鈥淓ffective AI Prompting Educator鈥 in Apr 2025.
  4. Teaching Permit by Malaysian Private Institution of Higher Learning (IPTS) BS/MS/PhD CS programs since Feb 2025.
  5. PhD graduate on time (GoT) certificate from the University of Malaya, Malaysia in Mar. 2021.
  6. Higher Education Commission Pakistan approved postgraduate supervisor since Aug 2021.
  7. Research Associate, at the University of Malaya, Kuala Lumpur, Malaysia for one year in 2019.
  8. Best paper award at the conference at the University of Malaya, Malaysia in Dec 2019.
  9. Awarded fully funded scholarship for PhD under FDP program by Sukkur IBA University in Aug. 2017.
  10. Workshop attended on 鈥淏ig Data Analytics using Spark鈥 workshop in Jan 2017.
     

Professional Associations

IEEE Collabratec.