Teaching

• Institution: University of Chile - U. Santo Tomás - U. Andrés Bello
• Position: Professor
• Duration: 2015 - Present
• One of my great passions is teaching. Since my mother and father are teachers, getting other human beings to participate actively in their learning is challenging
• Description: During these years, I have taught several courses, from fundamental mathematics and physics to those related to my electrical engineering expertise, such as image processing or related laboratories.

Thesis Committee Member or Advisor

• Institution: Faculty of Physical Sciences and Mathematics. University of Chile.
  • As advisor:
    • Transformer-type neural networks for classifying HER2 protein overexpression in gastric cancer biopsy images. (2023). Author: Diego Muñoz. DIE. This study focuses on enhancing gastric cancer diagnosis accuracy through transformer-type neural networks compared to convolutional networks. The transformer model demonstrates superior performance over the CNN, achieving higher accuracy and f1-score in classifying all classes of HER2 protein overexpression. Link Thesis
    • Automated diagnosis of glaucoma using Machine Learning tools applied to Chromatic Pupilometry data. (2024). Author: Manuel Zamorano. DIE. In progress. Link Thesis
  • As co-advisor:
    • Monitoring calving events through processing images (2024). Author: Catalina Zapata. DIE-Geophysics. In progress. Link Thesis
    • Prediction of cognitive decline functional in older patients based on clinical history (texts) and machine learning (2024). Author: Alvaro Gallardo. Master of Data Science. In progress. Link Thesis
  • As a committee member:
    • Development of an intelligent image recognition engine for last-mile dispatch test photos. (2023). Author: Franco Mirauda. DIE. This work proposes a smart image recognition engine that allows evaluating the quality of last-mile dispatches by reviewing some aspects of the photograph taken at the moment of product delivery. Link Thesis
    • Detection and estimation of portion for granular ingredients. (2023). Author: Gonzalo Hernández. DIE-DCC. This study aims to detect and estimate the portion of granular ingredients in Pizza Hut kitchen images using different models, including Yolov6, Faster R-CNN, SAM, MIM, and BinsFormers. Link Thesis
• Institution: Department of Medical Technology - Faculty of Medicine. University of Chile.
  • As Professional Thesis Evaluator:
    • Estimation of Breast Density in Digital Mammography and Tomosynthesis Images Using Artificial Intelligence. (2024). Authors: Francisca Bustamante and Sofía Rivas.
    • Quantification of Vascular Calcifications in Breast Tomosynthesis Using Artificial Intelligence: A Methodology (2023). Authors: Constanza Ramírez and Marcelo Flores.

Professional Practices Guide in ScianLab

• 2024:
  • Matias Carvajal Pérez. DIE. “Measurement of the membrane force exerted by a cell”
• 2023:
  • Leslie Cardenas Villegas. DIE. “Development of automatic segmentation methods that require fewer or worse examples for learning.”
  • Manuel Zamorano Canales. DIE. “Review of the state of the art of Transformers Type Neural Networks”
  • Vanessa Gonzalez Arriagada. DIE. “Segmentation of Cell Nuclei through Deep Learning in Jamming Context”
• 2022:
  • Magdalena Álvarez Piña. DCC. “Rotations in 3D Light-Sheet Images for Visualization of Embryo Development in Annual Fish”