Nancy Baygorrea, PhD

EDUCATION

I did my undergraduate studies at the National University of Callao at Math, graduating in 2008, a Master Degree in Applied Mathematic at University of Campinas in 2012. I received a Ph.D. in computer science from Federal University of Rio de Janeiro in 2017. The title of my dissertation was Inexact Proximal Point Methods for Quasiconvex Minimization on Hadamard Manifolds (see Publications below for more information), and Professor Nelson Maculan was my (superb) advisor. Following postdoctoral positions at the Center of Mineral Technology CETEM (RJ-Brazil). (hosted by professor Otávio Gomes )

Research Interests

I am interested in works on a range of topics in Computer Vision and Image Processing, many of which are using Artifical Intelligence. Computer Vision is about interpreting images. More specifically the goal is to infer properties of the observed world from an image or a collection of images. Our work combines a range of mathematical domains including mathematical toolbox, differential geometry, continuous optimization techniques. I am currently actively working on the following research topics: Deep learning techniques for mineral indentification.

Others research areas involve continuous optimization on Riemannian manifold and applications.