University of North Texas 
Lavinia Pieptea
Graduate Student
Research Interests
Lavinia is a PhD researcher in Data Science at the University of North Texas with a BS and MS in mathematics. Her current projects center on statistical frameworks for data privacy, particularly differential privacy, and applied machine learning for biomedical signal processing and engineering domains.
Publications
Zhang, H., Yang, A., Peng, A., Pieptea, L. F., Yang, J., & Ding, J. (2022). A Quantitative
Study of Software Reviews Using Content Analysis Methods. IEEE Access, 10, 124663-124672.
Chen, H., Pieptea, L. F., & Ding, J. (2022). Construction and evaluation of a high-quality
corpus for legal intelligence using semiautomated approaches. IEEE Transactions on
Reliability, 71(2), 657-673.
Zeng, Z., Shi, Y., Pieptea, L. F., & Ding, J. (2021). Using latent features for building an interpretable recommendation system. The Electronic Library, 39(2), 281-295.