Rubia Fatima
Dr.
Rubia Fatima
is an Assistant Professor and Coordinator of the Information Technology program at Emerson University, Multan, Pakistan. She earned her Ph.D. in Software Engineering from Tsinghua University, Beijing, China, under the supervision of Prof. Jianmin Wang and Associate Prof. Lin Liu. Prior to her doctoral studies, she completed her Master's degree in Information Technology from Bahauddin Zakariya University, Multan, Pakistan. Dr. Fatima's research interests encompass empirical software engineering, AI, social engineering, human factors in security, game-based education, and serious games. She has published over 28 research papers in reputable international journals and conferences. Her work has contributed significantly to the fields of software security and educational technology. Her work reflects a strong commitment to advancing knowledge in both theoretical and applied aspects of software engineering. She actively collaborates on interdisciplinary projects and engages in mentoring students and early-career researchers. With a passion for academic excellence and innovation, she continuously contributes to the growth of research culture in Pakistan. Dr. Fatima also plays an active role in curriculum development and educational quality enhancement at her institution. She is committed to bridging the gap between academia and industry through impactful research and community engagement.
Publications
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Affan Yasin Yasin, Farhan Ullah, Rubia Fatima.
© 2026. 404 pages.
The growing integration of artificial intelligence (AI) into software engineering is fundamentally changing how systems are developed, deployed, and maintained. Beyond...
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Muhammad Azhar, Ifra Shabbir, Muhammad Shafqat Ali, Ghulam Farid, Hamza Arif, Rubia Fatima.
© 2026. 30 pages.
The rising incidence of frailty in aging populations challenges traditional healthcare systems that lack real-time monitoring tools. To address this, we present CareBot, an...
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Waqas Junaid, Rubia Fatima, Muhammad Tahir, Hamid Nawaz, Muhammad Ibrar, Umar Raza, Yunwei Dong, Zhi Li.
© 2026. 46 pages.
The increased usage of AI in healthcare, finance, education, and cybersecurity necessitates models, which should be both accurate and interpretable. In contrast to traditional...
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