Improving the Quality of Software Development Process by Introducing a New Methodology-AZ-Model. - Muhammad Azeem Akbar; Jun Sang; Arif Ali Khan; Fazal-e-Amin; Nasrullah; Muhammad Shafiq 006; Shahid Hussain 001; Haibo Hu 002; Manzoor Elahi; Hong Xiang (IEEE Access, 2018)

Effect of Project Management in Requirements Engineering and Requirements Change Management Processes for Global Software Development. - Muhammad Shafiq 006; Qinghua Zhang 001; Muhammad Azeem Akbar; Arif Ali Khan; Shahid Hussain 001; Fazal-e-Amin; Asfandyar Khan; Aized Amin Soofi (IEEE Access, 2018)

Software Requirements Engineering Maturity Model (SREMM) in Offshore Software Development Outsourcing. - Muhammad Shafiq 006; Qinghua Zhang 001; Muhammad Azeem Akbar (FIT, 2019)

Towards the Guidelines for Requirements Change Management in Global Software Development: Client-Vendor Perspective. - Muhammad Azeem Akbar; Jun Sang; Nasrullah; Arif Ali Khan; Muhammad Shafiq 006; Fazal-e-Amin (IEEE Access, 2019)

Towards successful global software development. - Muhammad Shafiq 006; Qinghua Zhang 001; Muhammad Azeem Akbar; Tahir Kamal; Faisal Mehmood; Muhammad Tanveer Riaz (EASE, 2020)

Towards Efficient and Secure Global Software Development using Blockchain. - Muhammad Azeem Akbar; Ahmed Alsanad; Abeer Abdul-Aziz Alsanad; Abdu Gumaei; Muhammad Shafiq 006; Tahir Kamal (EASE, 2020)

Secure V2X Environment using Blockchain Technology. - Ms. Taiyaba; Muhammad Azeem Akbar; Bushra Qureshi; Muhammad Shafiq 006; Muhammad Hamza; Muhammad Tanveer Riaz (EASE, 2020)

Organization Type and Size Based Identification of Requirements Change Management Challenges in Global Software Development. - Muhammad Azeem Akbar; Sajjad Mahmood; Ahmed Alsanad; Muhammad Shafiq 006; Abdu Gumaei; Abeer Abdul-Aziz Alsanad (IEEE Access, 2020)

Requirements Change Management Challenges of Global Software Development: An Empirical Investigation. - Muhammad Azeem Akbar; Wishal Naveed; Abeer Abdul-Aziz Alsanad; Lulwah AlSuwaidan; Ahmed Alsanad; Abdu Gumaei; Muhammad Shafiq 006; Muhammad Tanveer Riaz (IEEE Access, 2020)

Identification and Prioritization of Agile Requirements Change Management Success Factors in the Domain of Global Software Development. - Tahir Kamal; Qinghua Zhang 001; Muhammad Azeem Akbar; Muhammad Shafiq 006; Abdu Gumaei; Ahmed Alsanad (IEEE Access, 2020)

Factors influencing the requirements engineering process in offshore software development outsourcing environments. - Muhammad Shafiq 006; Qinghua Zhang 001; Muhammad Azeem Akbar; Ahmed Alsanad; Sajjad Mahmood (IET Softw., 2020)

IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3. - Anas Bilal; Muhammad Shafiq 006; Fang Fang; Muhammad Waqar; Inam Ullah 001; Yazeed Yasin Ghadi; Haixia Long; Rao Zeng (Sensors, 2022)

Stochastic Recognition of Human Physical Activities via Augmented Feature Descriptors and Random Forest Model. - Sheikh Badar ud din Tahir; Abdul Basit Dogar; Rubia Fatima; Affan Yasin; Muhammad Shafiq 006; Javed Ali Khan; Muhammad Assam; Abdullah Mohamed; El-Awady Attia (Sensors, 2022)

DualEye-FeatureNet: A Dual-Stream Feature Transfer Framework for Multi-Modal Ophthalmic Image Classification. - Muhammad Shafiq 006; Quanrun Fan; Fatemah H. Alghamedy; Waeal J. Obidallah (IEEE Access, 2024)

BC-QNet: A quantum-infused ELM model for breast cancer diagnosis. - Anas Bilal; Azhar Imran; Xiaowen Liu; Xiling Liu; Zohaib Ahmad; Muhammad Shafiq 006; Ahmed M. El-Sherbeeny; Haixia Long (Comput. Biol. Medicine, 2024)

NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data. - Anas Bilal; Xiaowen Liu; Muhammad Shafiq 006; Zohaib Ahmed; Haixia Long (Comput. Biol. Medicine, 2024)

DeepSVDNet: A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images. - Anas Bilal; Azhar Imran; Talha Imtiaz Baig; Xiaowen Liu; Haixia Long; Abdulkareem Alzahrani; Muhammad Shafiq 006 (Comput. Syst. Sci. Eng., 2024)

Quantum computational infusion in extreme learning machines for early multi-cancer detection. - Anas Bilal; Muhammad Shafiq 006; Waeal J. Obidallah; Yousef A. Alduraywish; Haixia Long (J. Big Data, 2025)