Dr Ghulam Murtaza
- Senior Lecturer
- School of Computing and Artificial Intelligence
Biography
I am passionate researcher and educationalist in computer science, AI, and software engineering. I have been engaged in teaching, research, supervision, administrative responsibilities, and software development for decades. Taught numerous courses in both face-to-face and online modes at undergraduate and postgraduate levels, including supervision of FYPs, and MS/PhD thesis at international level. Also served as an editor of the Sukkur IBA Journal of Computing and Mathematical Sciences and member of the Faculty Grievance Redressal Committee. I have a doctorate from the world鈥檚 top-ranking university. My research areas comprise data science, computer vision, deep learning, digital image processing, histopathology image breast cancer classification, human face forgery detection, human activity recognition, and wireless sensor networks. I have fourteen JCR, WoS indexed, and six conference publications with 900+ citations, 11 h-index.
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
- Machine Learning, Deep Learning
- Digital Image Processing
- Computer Vision
- Data Science, Data Mining
Teaching Areas
- Machine Learning, Deep Learning, AI
- Digital Image Processing
- Data Mining/ Data Science
- Business Intelligence
- Theory of Automata
- C++, Python
Courses Taught
- Data Science
- Data Mining
- Digital Image Processing
- Advanced Deep Learning
- Computer Vision
- Software Engineering
- C++, Python
Notable Publications
Ali, S. Murtaza, G. (2024), A Systematic Review on Sentiment Analysis for Sindhi Text, Baghdad Science Journal.
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.
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.
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
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.
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.
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.
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
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.
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
Achievements & Accolades
- PhD graduate on time (GoT) certificate from the University of Malaya, Malaysia in March 2021.
- Research Associate, at the University of Malaya, Kuala Lumpur, Malaysia for one year in 2019.
- Best paper award at the conference at the University of Malaya, Malaysia in Dec 2019.
- Awarded fully funded scholarship for PhD under FDP program by Sukkur IBA University in 2017.
- Participated in the 鈥淏ig Data Analytics using Spark鈥 workshop in Jan 2017.
Professional Associations
IEEE Collabratec.