B.S. in Computer Science
Allama Iqbal Open University, Islamabad, Pakistan

M.S. in Computer Science
University of Central Punjab, Lahore, Pakistan

Ph.D. in Software Engineering
University of Electronic Science and Technology of China

Programming

Research and Technology

Microcomputer Applications

Dr. Waqar Ali is an Associate Professor with over two decades of experience in teaching, training, and educational administration across various roles, including Researcher, Head of Department, Associate/Assistant Professor, and Lecturer. He earned his MS in Computer Science from the University of Central Punjab, Pakistan, in 2011 and completed his Ph.D. in Computer Science from the University of Electronic Science and Technology of China in 2021, where he focused on integrating real-world contexts in recommender systems. He subsequently pursued a Post-Doctoral Fellowship at the same institution, working on reliable recommendation services using machine intelligence for the production industry. Dr. Ali has taught a variety of courses to undergraduate, master's, and Ph.D. students and has published research in top-tier international conferences and journals. His academic career includes affiliations with The University of Lahore, The Royal College, Imperial College of Business Studies, Pak-Australian Institute, The Superior University (Pakistan), and the University of Electronic Science and Technology of China, where he has been recognized for outstanding academic and administrative contributions. His research interests include recommender systems, privacy protection, responsible AI for information retrieval, federated learning, data analytics, and blockchain technology.

• Recommender Systems
• Privacy protection
• Responsible AI for information retrieval
• Retrieval Augmented Generation (RAG)
• Federated Learning, Blockchain, Multi-arm bandits

1. S.U. Din, Q. Yang, J. Shao, C.B. Mawuli, A. Ullah, Waqar Ali, "Synchronization-based semi-supervised data streams classification with label evolution and extreme verification delay," Information Sciences, 120933 (2024).

2. Y. Wang, H. Xu, Waqar Ali, X. Zhou, J. Shao, "Bilateral Improvement in Local Personalization and Global Generalization in Federated Learning," IEEE Internet of Things Journal (2024).

3. I. ur Rehman, Waqar Ali, Z. Jan, Z. Ali, H. Xu, J. Shao, "CAML: Contextual augmented meta-learning for cold-start recommendation," Neurocomputing 533, 178-190 (2023).

4. Y. Wang, H. Xu, Waqar Ali, M. Li, X. Zhou, J. Shao, "Fedftha: a fine-tuning and head aggregation method in federated learning," IEEE Internet of Things Journal 10(14), 12749-12762 (2023).

5. I.U. Rehman, Z. Ali, Z. Jan, M. Rashid, Waqar Ali, "Empirical performance analysis of classification methods on cultural heritage database," VIPERC (2022).

6. Z. Deng, C. Li, S. Liu, Waqar Ali, J. Shao, "Knowledge-aware group representation learning for group recommendation," 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1571-1582 (2021).

7. Waqar Ali, W. Tian, S.U. Din, D. Iradukunda, A.A. Khan, "Classical and modern face recognition approaches: a complete review," Multimedia Tools and Applications; 80, 4825-4880 (2021).

8. A.A. Khan, J. Shao, Waqar Ali, S. Tumrani, "Content-aware summarization of broadcast sports videos: an audio–visual feature extraction approach," Neural Processing Letters 52(3), 1945-1968 (2020).

9. S.U. Din, J. Shao, J. Kumar, Waqar Ali, J. Liu, Y. Ye, "Online reliable semi-supervised learning on evolving data streams," Information Sciences 525, 153-171 (2020).

10. D. Iradukunda, X.W. An, Waqar Ali, "Multi-classifier deep neural network for detecting intruder behavior in cybersecurity," 2019 16th International Computer Conference on Wavelet Active Media (2019).