I'm a Computer Engineer and a Ph.D. student in Data Science at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome.
I am currently teaching assistant (TA) for the Data Mining course.
My research interests are in the field of AI for medicine, mainly focusing on deep learning in bioinformatics.
Ph.D. Student in Data Science, Sapienza University of Rome.
MSc in Engineering in Computer Science, Sapienza University of Rome. 110/110 Magna cum Laude.
Excellent Graduate A.Y. 2018/19.
BSc in Computer and System Engineering, Sapienza University of Rome 110/110 Magna cum Laude.
High School Degree, Liceo Scientifico A. Labriola, 100/100 cum Laude.
A. Maccagno, A. Mastropietro, U. Mazziotta, M. Scarpiniti, Y.-C. Lee, A. Uncini (2019). “A CNN Approach for Audio Classification in Construction Sites,” the 29th Italian Workshop on Neural Networks (WIRN 2019), Vietri sul Mare, Salerno, Italy.
Also available as book chapter as:
A. Maccagno, A. Mastropietro, U. Mazziotta, M. Scarpiniti, Y.-C. Lee and A. Uncini, "A CNN Approach for Audio Classification in Construction Sites", in Progresses in Artificial Intelligence and Neural Systems, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-981-15-5092-8, pp. 371-381, Springer 2021.
Research Gate: https://www.researchgate.net/profile/Andrea_Mastropietro2
Google Scholar: https://scholar.google.com/citations?user=Nb660tAAAAAJ&hl=en
Email: mastropietro [at] diag.uniroma1.it
Office: Room A101 - Department of Computer, Control and Management Engineering (DIAG). Via Ariosto 25, Rome.
Office Hours: Friday 15-16:30 (email me first).