Salvador Muñoz

Hi, I would like to demonstrate my skills, in a job interview, I have soft skills that I believe can help a better coexistence at work (in addition to experience, taste and passion for the development of Fornt End), I hope to review my resume and I leave you my LinkedIn profile.

Classification of Interferograms by means of Decision Trees, in RF.
In this work entitled “Classification of Interferograms by means of Decision Trees”, it has been proposed to classify evaluations of different polynomial functions coming from various types of aberrations in interferograms, using the decision tree (RF) technique. This technique, used in the context of Artificial Intelligence and Machine Learning, allowed the division of the data set to subsequently establish a decision criterion thanks to the information received. The input data consisted of 200 random instances in the range of -1 to 1, which I programmed in MATLAB. The results were able to classify three different types of aberrations, demonstrating that Zernike polynomials are suitable for classifying interferograms within an automatic prediction model and I hope that the data from my research will contribute in the future to the creation of more precise tools not only in the field of otics but also of Metrology, Physics and Engineering.