Hajar Homayouni is an Assistant Professor at the Department of Computer Science at SDSU. Her research focuses on estimating and addressing existing issues with imbalanced and faulty data used for critical decision-making. Her lab includes a group of undergraduate and graduate students working on multiple interdisciplinary projects to advance the quality of data used for critical scientific analysis, enhance interpretability of complex machine learning models, and understand the process behind decisions made by the models. These projects include but are not limited to anomaly detection, synthetic balanced data generation, and agentic AI for biomedical knowledge access.