Dr. Farzana Nasrin
Math Dept, UTK
Dr. Farzana Nasrin graduated from Texas Tech University with a Ph.D. in Applied Mathematics in August 2018. Her research interests are in Computational Mathematics, Data Analysis, Statistics and Image Analysis. Currently she is a post-doctoral research associate at UTK. She studies supervised and unsupervised machine learning methods on the space of persistence diagrams with applications to acoustic signals, biomedical imaging, EEG, and materials data. Her dissertation involves development of analytical tools for smooth shape reconstruction from noisy data and visualization tools for utilizing information from advanced imaging devices.
Topological Machine Learning in Material Science