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Department of Computer Science

Biography

Dr. Umar Ishfaq is a PhD-qualified Computer Science academic and researcher currently serving as Assistant Professor at AIR University Aerospace and Aviation Campus, with over 13 years of teaching experience at the graduate and undergraduate levels.

He earned his PhD from COMSATS University Islamabad, specializing in influential user detection in social media using NLP and network analysis.

His research spans natural language processing, sentiment analysis, and social network analysis.

He has authored 12 peer-reviewed publications in journals and conferences including IEEE Access and the Journal of King Saud University.

His ongoing work explores multimodal bias detection and adversarial NLP frameworks.

A two-time recipient of the "Pride of Performance" award for teaching excellence, he also serves as a peer reviewer for journals such as PLOS ONE and Computers in Human Behavior.

Education

Ph.D. in Computer Science from COMSATS University Islamabad

Publications

Journal Articles

U. Ishfaq, H. U. Khan, and D. Shabbir , "Exploring the Role of Sentiment Analysis with Network and Temporal Features for Finding Influential Users in Social Media Platforms," Social Network Analysis and Mining , vol. 14, Article ID 241, 2025. [ISSN: 1869-5450, Thomson Reuters JCR 2024, Impact Factor: 3.2, Springer]

U. Ishfaq, T. Ali, A. Daud, M. Alreshoodi, and A. Irshad , "Modeling Topic-Specific Influential Users in QA Forums Using Association Rule Mining," IEEE Access , vol. 12, pp. 196498–196516, 2024. [ISSN: 2169-3536, Thomson Reuters JCR 2024, Impact Factor: 3.6, IEEE]

U. Ishfaq, H. U. Khan, and S. Iqbal , "Identifying the Influential Nodes in Complex Social Networks Using Centrality-Based Approach," Journal of King Saud University – Computer and Information Sciences , vol. 34, issue 10, pp. 9376–9392, 2022. [ISSN: 1319-1578, Thomson Reuters JCR 2022, Impact Factor: 6.053, Elsevier]

U. Ishfaq, D. Shabbir, J. Khan, H. U. Khan, S. Naseer, A. Irshad, M. Shafiq, and H. Hamam , "Empirical Analysis of Machine Learning Algorithms for Multiclass Prediction," Wireless Communications and Mobile Computing , vol. 2022, Article ID 7451152, 12 pages, 2022.

U. Ishfaq, H. U. Khan, S. Iqbal, and M. Alghobiri , "Finding Influential Users in Microblogs: State-of-the-Art Methods and Open Research Challenges," Behaviour & Information Technology , vol. 41, issue 10, pp. 2215–2258, 2022.

S. Iqbal, H. U. Khan, U. Ishfaq, M. Alghobiri, and S. Iqbal , "Finding Influential Users in Social Networks Based on Novel Features & Link-Based Analysis," Journal of Intelligent & Fuzzy Systems , vol. 40, issue 1, pp. 1623–1637, 2021.

H. U. Khan, et al. , "Modelling to Identify Influential Bloggers in the Blogosphere: A Survey," Computers in Human Behavior , vol. 68, pp. 64–82, 2017.

U. Ishfaq, H. U. Khan, and K. Iqbal , "Identifying the Influential Bloggers: A Modular Approach Based on Sentiment Analysis," Journal of Web Engineering , vol. 16, issue 5–6, pp. 505–523, 2017.

M. Alghobiri, U. Ishfaq, H. U. Khan, and T. A. Malik , "Exploring the Role of Sentiments in Identification of Active and Influential Bloggers," International Journal of Business and Technology , vol. 4, issue 2, pp. 48–55, 2016.

Conference Papers

U. Ishfaq, H. U. Khan, and K. Iqbal , "Modeling to Find the Top Bloggers Using Sentiment Features," In Proceedings of 2016 International Conference on Innovative Computing (ICE Cube 2016) , pp. 227–233, IEEE, 2016.

A. U. Akram, K. Iqbal, C. M. S. Faisal, and U. Ishfaq , "An Effective Expert Mining Technique in Online Discussion Forums," In Proceedings of 2016 International Conference on Innovative Computing (ICE Cube 2016) , pp. 95–99, IEEE, 2016.

Research Interests

Natural Language Processing

Social Network Analysis & Data Mining