Dr. Ghulam Murtaza Memon
Contact Member
E-mail : gmurtaza@iba-suk.edu.pk
Office Extension : 4438
Biography
Dr. Ghulam Murtaza Memon had conferred Ph.D. in data mining from the University of Malaya, Kula Lumpur, Malaysia in March 2021. He also earned MSCS in Software Engineering in Dec. 2013 from PAF-KIET Karachi Pakistan. He was awarded BSc. (Hons.) CS and MSc. CS in 1997 from Sindh University Jamshoro Pakistan. He worked as a team leader in the KPMG PSSL software house in Karachi. Moreover, he served as lecturer CS in FUAAST Karachi and COMSATS Vehari. Whereas, he joined SIBAU as Assistant Professor CS in August 2014. As a researcher, he published many articles in SCI/JCR impact factor journal. His core research area is deep learning-based breast cancer detection and classification using histopathology images. Apart from breast cancer classification, he has few other publications using machine learning algorithms like face forgery detection, offline signature verification, and human activity recognition. Furthermore, a few contributions are also published in designing energy-efficient wireless sensor network protocols. His teaching interests are Machine learning, Computer Vision, Deep learning, Data Science, Data Mining and warehousing, Digital image processing, Theory of automata, Compiler construction, Data Structures, Software Engineering, Software quality assurance, Agile software development, Languages/tools like Python, Weka, MATLAB, SPSS, Java and C++.
Qualifications
| Degree | From | Major | Year |
|---|---|---|---|
| PhD | University of Malaya, Malaysia | Machine Learning | 2021 |
| MSCS-SE | PAF-KIET Karachi | Software Engineering | 2013 |
| MSc CS | University of Sindh | Computer Science | 1997 |
| BSc(H) CS | University of Sindh | Computer Science | 1995 |
Publications
| # | Title | Author(s) |
|---|---|---|
| 1 | Survey on Energy-Efficient and Energy-Balanced WSN Routing Protocols |
Murtaza , Ghulam Ahmed , Rhaeel |
| 2 | Integration of Internet of Things and blockchain technology in healthcare domain: A systematic literature review |
Kamangar , Zainab Umair Memon , Raheel Ahmed Murtaza , Ghulam |
| 3 | OffSig-SinGAN: A Deep Learning-Based Image Augmentation Model for Offline Signature Verification |
Hameed , M.-Muzaffar Ahmad , Rodina Kiah , Laiha-Mat Murtaza , Ghulam |
| 4 | A two-step clustering to minimize redundant transmission in wireless sensor network using sleep-awake mechanism |
Shagari , Nura Modi Rosli Bin , Salleh Ismail , Ahmedy Mohd Yamani Idna , Idris Murtaza , Ghulam |
| 5 | Face forgery detection via optimum deep convolution activation feature selection algorithm using expert-generated images |
Murtaza , Ghulam |
| 6 | A hybridization strategy using equal and unequal clustering schemes to mitigate idle listening for lifetime maximization of wireless sensor network |
Shagari , Nura Modi Idris , Mohd Yamani Idna Salleh , Rosli Bin Ahmedy , Ismail Murtaza , Ghulam |
| 7 | Machine learning-based offline signature verification systems: A systematic review |
Hameed , M. Muzaffar Ahmad , Rodina MatKiah , Laiha Murtaza , Ghulam |
| 8 | Predicting Cyberbullying on Social Media in the Big Data Era Using Machine Learning Algorithms: Review of Literature and Open Challenges |
Al-Garadi , Mohammed Ali Hussain , Mohammad Rashid Khan , Nawsher Murtaza , Ghulam |
| 9 | Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System |
Alo , Uzoma Rita Nweke , Henry Friday Teh , Ying Wah Murtaza , Ghulam |
| 10 | Heterogeneous Energy and Traffic Aware Sleep-Awake Cluster-Based Routing Protocol for Wireless Sensor Network |
Shagari , Nura Modi , Mohd Yamani Idna Idris , Rosli Bin Salleh , Ismail Ahmedy Murtaza , Ghulam |
| 11 | A tree-based multiclassification of breast tumor histopathology images through deep learning |
Murtaza , Ghulam |
| 12 | Ensembled deep convolution neural network-based breast cancer classification with misclassification reduction algorithms |
Murtaza , Ghulam |
| 13 | Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach |
Murtaza , Ghulam |
| 14 | Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges |
Murtaza , Ghulam |
Awards
| # | Title | Organization | Year |
|---|---|---|---|
| 1 | Best Paper award | University of Malaya, Malaysia | 2019 |
| 2 | Graduate on Time | University of Malaya, Malaysia | 2021 |