Faculty
Sokratis Makrogiannis, Ph.D. Research areas: image analysis and machine learning with applications to biomedicine and computer vision.
Ph.D. candidates
Azubuike Okorie. Research topic: model-based segmentation, image registration.
Chelsea E. Harris. Research topic: machine (deep) learning, biomedical image classification and analysis.
Saujanya Anasamudram, Research topic: cell tracking and quantification, machine learning.
B.Sc. Students
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.
Alumni
Keni Zheng. Ph.D. in Mathematics and Physics (Spring 2018). Research topic: pattern classification and machine learning for CAD systems.
Fatima Boukari. Ph.D. in Mathematics and Physics (Spring 2017). Research topic: automated cell segmentation and tracking.
Taposh Biswas, M.Sc. in Optics (Spring 2019). Research topic: tissue identification, quantification, and characterization.
hana 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.