Violeta Chang
Assistant Professor
Department of Computer Engineering
University of Santiago of Chile
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.
Interests
- Image processing and analysis - Machine learning - Deep learning
- Generation of biomedical gold-standards - Combination of classifiers
PhD in Computer Science
University of Chile
Santiago, Chile
Thesis: Segmentation and classification of human sperm heads towards morphological sperm analysis
MsC in Computer Science
National University of Trujillo
Trujillo, Peru
Thesis: Development of a nonlinear method for fingerprint image enhancement
Computer Engineer
National University of Trujillo
Trujillo, Peru
Thesis: Alternative methods for automatic image contrast enhancement
Br. in Computer Science
National University of Trujillo
Trujillo, Peru
Academic Experience
2019--now
Assistant professor
Department of Computer Engineering
University of Santiago of Chile, Chile
Research lines: Image processing and analysis, machine and deep learning
2009--2011
Teaching assistant
Department of Computer Science
University of Chile, Chile
Asignatures: Databases, Databases and knowledge
2001--2008
Assistant professor
Department of Computer Engineering
National University of Trujillo, Peru
Asignatures: Algorithms, Data structures, Computer graphics, Databases, Special topics on image processing, Special topis on databases
2015--2019
Postdoctoral researcher
Laboratory for Scientific Image Analysis (SCIAN-Lab)
University of Chile, Chile
Research lines: Generation of biomedical gold-standards, machine and deep learning
2006--2008
Assistant professor
Graduate School
National University of Trujillo, Peru
Asignatures: Digital image processing, Distributed databases, Multimedia databases
RESEARCH
PAI 77180012
2019--2022
Fortalecimiento del área de aprendizaje de máquinas en pre y postgrado e investigación del Departamento de Ingeniería Informática. Principal Researcher.
STIC-AMSUD 19STIC-04
2019--2021
Optimized deep learning based representations for computer vision problems. Researcher.
FONDECYT 3160559
2015--2019
Generation of biomedical gold-standards using supervised learning based on multiple experts. Principal Researcher.
STIC-AMSUD 14STIC-01
2014--2015
Dynamic selection of classifiers with application in real environments. Researcher.
FONDEF D07|1019
2012--2012
Center for internet-assisted digital spermiograms. Collaborator.