Dr. Ambreen Nazir is a researcher and academic specializing in artificial intelligence, natural language processing, deep learning, and software engineering. Her research focuses on natural language processing, sentiment analysis, large language models (LLMs), agentic AI, and their applications in intelligent information processing.
During her master’s research, she investigated data mining and knowledge discovery techniques and developed a novel rule-based discretization method for handling continuous data. She subsequently joined academia as a lecturer, teaching software engineering and computing courses while supervising undergraduate research projects. During her PhD at Xi’an Jiaotong University (XJTU), China, she advanced her NLP and sentiment analysis research, focusing on aspect-based sentiment analysis and mining in social media text. Following her PhD, she served as a Senior Lecturer at Shifa Tameer-e-Millat University (STMU), Islamabad. She later joined Xi’an Jiaotong University as an Assistant Professor and postdoctoral researcher, where she expanded her work into AI, NLP, and large language models, contributing to international research collaborations and a funded research project on multimodal fake news detection. She is currently serving as an Assistant Professor at the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Pakistan.
She has authored and co-authored research publications in internationally recognized journals and conferences, including IEEE Transactions on Affective Computing, IEEE Transactions on Knowledge and Data Engineering, ACM Computing Surveys, SIGIR, ACL, EMNLP, and IJCAI.
Her academic achievements include receiving the Chinese Government Scholarship (CSC) for her doctoral studies and the Outstanding International Student Award at Xi’an Jiaotong University. She has also contributed to the research community through journal reviewing, conference program committees, postgraduate research supervision, and academic leadership.
