Lead Modeling & Algorithms
Amrutha’s research brings extensive knowledge in the areas of biometrics, pattern recognition, image processing, computer vision and neural networks to LSI. Her research has recently focused on developing algorithms for synthetic face aging, facial analytics and face recognition. She has published research papers in these areas and has also served as the Co-PI on research grants. Amrutha was previously a research associate at the Computer-Aided Diagnosis and Display Laboratory, Lineberger Cancer Center at UNC Chapel Hill, where she successfully executed projects related to Digital Mammography.
Amrutha received her B.E. degree from R.V.C.E., Bangalore University and M.S. in Electrical and Computer Engineering from North Carolina State University.