Rubia Fatima

Rubia Fatima is currently working as Assistant professor at Emerson University, Multan, Pakistan. She completed her Ph.D. in Software Engineering at Tsinghua University (QS ranked 12th), Beijing, China in June 2023. Prior to this, she received her Master's degree in Information Technology (MSIT) from Bahauddin Zakariya University (B.Z.U), Multan, Pakistan. Her research interests include empirical research and development within Software Engineering, game-based learning, social engineering, serious games, and requirements engineering. She has published more than 25 research studies in reputable venues on various topics of Software Engineering, including requirements engineering, social engineering, game-based education, and empirical software engineering.

Publications

Ethical AI Applications for Software Engineering and Development
Ethical AI Applications for Software Engineering and Development
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...
Integrating Agentic AI Ethically Into Geriatric Healthcare: A Framework for Frailty Monitoring With Transformer Models and Wearable Technology
Integrating Agentic AI Ethically Into Geriatric Healthcare: A Framework for Frailty Monitoring With Transformer Models and Wearable Technology
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...
Causal AI: Explainable Techniques for Interpreting Behavioral Patterns Using Causal Diagrams
Causal AI: Explainable Techniques for Interpreting Behavioral Patterns Using Causal Diagrams
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...