Taught “Machine Learning I,” fusing physics-based logic with practical data science for graduate students. Acting as director of the following works of the specialization in artificial intelligence:
Title: “Estimation of the efficiency in the separation of corn oil after obtaining bioethanol”.
Student: Eng. Oscar Alberto Almonacid. Status: Finished.
Title: “Implementation of a predictive machine learning model for estimating hemoglobin levels through photoplethysmography and patient characteristics”.
Student: B.Sc. Jorge Heyul Chavez Arias. Status: In progress.
Title: “Detection, estimation and quantification of non-verbal language in video calls”
Student: Bioing. Carlos Andres Santiago Paz. Status: Finished.
Title: “AI Model for Prediction of weight incidence in patient temperature regulation in a hypothermia system”. Student: Eng. Ezequiel Fernández Status: Finished.
Title: “Detection and classification of signals in Blazares time series using machine learning techniques”.
Student: Manuel Lopez Vargas. Status: Finished.
Title: “Gravitational potential generated by fractal structures”.
Student: Jeremias Ruta. Status: In progress.
Mentor of Students at the Winter School 2021 Organized by Wolfram Research. In this role, I was responsible for supervising three students in three different physics projects, which concluded with the following works:
Mentor of Students at the Summer School Organized by Wolfram Research Wolfram Summer School 2021. In this role, I supervised three students as their mentor and two students as co-mentors in five different physics projects, which concluded with the following works: