Shamsa Abid
Assistant Professor
- Department of Software Engineering
- shamsa.abid@nu.edu.pk
- (041) 111-128-128
- Ext: 124
Introduction
I am currently an Assistant Professor at the National University of Computer and Emerging Sciences, FAST, Chiniot-Faisalabad Campus in Pakistan. I work on research broadly related to AI for Software Engineering. My current research interests are evaluating “code generation quality of LLMs”, using “LLMs for requirements validation”, and “Interpretability of AI Models”. This research builds on my recent Post-Doctoral experience as a Research Scientist at the Research for Intelligent Software Engineering (RISE) laboratory at Singapore Management University (SMU), ranked second globally for software engineering research. My work at SMU involved evaluating human-model alignment for deep-learning-based AI systems, with a particular focus on causal explainability. As part of the Science of Certified AI systems project, funded by the Ministry of Education, I worked with my supervisor Prof. Lingxiao Jiang, to develop methodologies to evaluate the trustworthiness of AI models for code-relevant tasks.
I obtained my PhD degree in Computer Science from the Lahore University of Management Sciences (LUMS), Pakistan in 2021. My Ph.D. was supervised by Prof. Dr. Shafay Shamail and my PhD committee members included Dr. Hamid Abdul Basit, Dr. Basit Shafique, and Dr. Naveed Arshad. My Ph.D. thesis is titled “Feature-driven API usage-based Code Example Recommendation for Opportunistic Reuse”.
I’m a detail-oriented academic aiming to excel in everything I do. I’m deeply invested in making meaningful contributions to my field and approach every opportunity with curiosity, a drive to learn, and a dedication to helping others grow.
I excel in environments where creativity, critical thinking, and collaboration intersect, and my work is grounded in balance, empathy, and a deep desire to make a positive impact.
My biggest flex? My excellent English communication skills, which allow me to ask compelling, thought-provoking questions. These questions have not only sparked meaningful conversations but also opened doors to countless opportunities and earned me valuable visibility.
Interests
- Generative AI for Code Reuse – Safety and Performance
- Code Models Trustworthiness Evaluation
- Semantic Code Clones Benchmarking
- Explainable AI (XAI)
- Code Recommendation and Reuse
- Mining Software Repositories
- Empirical Studies
- Design Patterns
- Algorithms