Mateo Frausto-Avila

Project:

• Dataset creation.
• Time series analysis and modeling.
• Select and evaluate different Artificial Neural Network models (Classification, Regression & Forecasting).
• Correlation coefficient, confusion matrix validation & medical validation protocol development.

Project: Compact Neural Network Algorithm for Electrocardiogram Classification

• Big data analysis.
• Time series analysis
• Neural Network architecture design (Classification model).
• Confusion matrix validation & medical validation protocol development.

Project: Development of a portable platform for the detection of glyphosate based on luminescent nanoparticles using Machine Learning

• Big data creation.
• Design of the Deep Neural Network (Classification & Regression models).
• Implementation of neural networks in optoelectronic systems
• Implementation and testing of computer vision detector
• Correlation coefficient and confusion matrix validation.
• Integration of trained neural networks into a portable prototype

• Descriptive statistics of manufactured products
• Statistical process control charts P, NP, C and U
• Active participation in ISO-9001:2008 audits