Violeta Chang has a PhD in Computer Science and from 2019 she joined the DIINF as assistant professor. After receiving her doctorate degree from the University of Chile, she worked as a postdoctoral researcher at the Laboratory of Scientific Images Analysis (SCIAN-Lab) of the Faculty of Medicine of the University of Chile, from 2015 to 2018. With experience in teaching and researching in the areas of Image Processing and Machine Learning since 2001, her research is oriented to the biomedical field in morphological analysis of human sperm assisted by computer and automatic classification of breast cancer biopsies.
Thesis: Segmentation and classification of human sperm heads towards morphological sperm analysis
Thesis: Development of a nonlinear method for fingerprint image enhancement
Thesis: Alternative methods for automatic image contrast enhancement
Research lines: Image processing and analysis, machine and deep learning
Asignatures: Databases, Databases and knowledge
Asignatures: Algorithms, Data structures, Computer graphics, Databases, Special topics on image processing, Special topis on databases
Research lines: Generation of biomedical gold-standards, machine and deep learning
Asignatures: Digital image processing, Distributed databases, Multimedia databases
Fortalecimiento del área de aprendizaje de máquinas en pre y postgrado e investigación del Departamento de Ingeniería Informática. Principal Researcher.
Optimized deep learning based representations for computer vision problems. Researcher.
Generation of biomedical gold-standards using supervised learning based on multiple experts. Principal Researcher.
Dynamic selection of classifiers with application in real environments. Researcher.
Center for internet-assisted digital spermiograms. Collaborator.