Luciano Teresi

Professor of Mathematical Physics
Department  of Industrial Engineering, Electronics & Mechanics
Roma Tre University, Italy

email: teresi@uniroma3.it

Areas of Expertise:
Continuum Physics
Soft Matter
Computer Simulations

Short Bio:
Luciano Teresi holds a MD in Aerospace Engineering, and a PhD in Theoretical and Applied Mechanics from Sapienza, Università di Roma, Italy.

He is now Prof. of Mathematical Physics at Dept.  of Industrial Engineering, Electronics & Mechanics, Roma Tre University, Italy, where he teaches the graduate courses “Rational Mechanics”, and “Mathematical Methods for Machine Learning”. 

His main research activity is in mathematical modeling and numerical simulations of Active Soft Matter and Multiphysics problems. He is an expert in numerical computation and simulations, and is the author of 100+ publications on international journals.

Sylllabus

Neural Networks with MATLAB
Introduction to the powerful toolboxes of Matlab
dedicated to Machine Learning and Deep Learning through worked examples.

How to use statistical methods that enable machines to “learn” tasks from data without explicitly programming. How to design Neural networks with many layers that learn representations and tasks “directly” from data. Design of Deep Neural Net with the Matlab graphic shell. Use pre-built models for Image classification problems. Transfer Learning: Modify & reuse pre-built models.