Faculty
Dr. Sokratis Makrogiannis - Research areas: image analysis and machine learning with applications to biomedicine and computer vision.
Ph.D. candidates
Soujanya Anasamudram - Research topic: deep net segmentation for tissue segmentation, cell segmentation and quantification.
Chelsea E. Harris - Research topic: sparse analysis, machine learning, biomedical image classification and analysis.
Azubuike Okorie - Research topic: model-based segmentation, image registration.
Jian Zhao - Research topic: cell tracking and quantification.
Uchenna Okorie - Research topic: tissue identification, quantification, and characterization.
Yu Bai (Fall 2018) - Research topic: deep networks and deep learning techniques.
Samuel Awidi (Summer 2018) - Research topic: tissue Identification and quantification techniques for body composition imaging.
Rahul Patel (Summer 2017) - Research topic: tissue identification and quantification techniques for body composition imaging.
Sammy Eyong (Summer 2016) - Research topic: study and comparison of tissue segmentation and quantification methods for clinical studies.
Azubuike Okorie - Ph.D. in Applied Math and Mathematical Physics (Fall 2022). Research topic: segmentation-registration co-operative techniques.
Keni Zheng - Ph.D. in Applied Math and Mathematical Physics (Spring 2018). Research topic: pattern classification and machine learning for CAD systems.
Stephen T. Johnson - Ph.D. in Applied Math and Mathematical Physics (December 2018). Research topic: Exact Topological Soliton Solutions.
Fatima Boukari - Ph.D. in Applied Math and Mathematical Physics (Spring 2017). Research topic: automated cell segmentation and tracking.
Taposh Biswas - M.Sc. in Applied Math (Spring 2022). Research topic: tissue identification, quantification, and characterization.
Yibing Wang - M.Sc. in Applied Math (Spring 2022). Research topic: cell segmentation and quantification, machine learning.
Onyekachi Williams - M.Sc. in Applied Math (Spring 2022). Research topic: cell tracking and quantification, machine learning.
Chelsea E. Harris - M.Sc. in Applied Math (Fall 2019). Research topic: sparse analysis and dictionary learning.
Taposh Biswas - M.Sc. in Optics (Spring 2019). Research topic: tissue identification, quantification, and characterization.
Azubuike Okorie - M.Sc. in Applied Math (Spring 2016). Research topic: Variational Image Segmentation Techniques Applied to Biomedical Imaging.
Shana Brown - M.Sc. in Applied Math (Spring 2016). Research topic: graph-theoretic image analysis techniques.
Chao Zhang - M.Sc. in Applied Math (Spring 2015). Research topic: graph-theoretic techniques in image analysis.