iacopo.masi@uniroma1.it's picture

Natural Language Processing

When: (only in person) tuesday 4-7pm, thursday 5-7pm
Where: Aula Tullio Levi Civita (III Castelnuovo, Dep. of Mathematics)

Classroom: https://classroom.google.com/c/NjI4NTk5NDc4MzY2 (code given in class)
Sito web: https://github.com/iacopomasi/NLP

 

AI&ML Unit 2

When: (only in person) tuesday 2-4pm, thursday 2-5pm
Where: Aula 1L Castro Laurenziano
Classroom: https://classroom.google.com/u/2/c/NjYyNzIyMjc0MTU2 (code given in class)

Sito web: https://iacopomasi.github.io/AI-ML-Unit-2/

 

Fondamenti di Programmazione - Canale 2

Quando: (solo in presenza) martedi 16.00-18.00, giovedi 15.00-18.00
Dove: Edificio: CU006-E01P01L083 Aula III, Castelnuovo, Dip di Matematica
Sito web: https://classroom.google.com/c/NjI1NTQ5ODY4MDQw
Forum: https://q2a.di.uniroma1.it

 

Office hours/Ricevimento

I am always available to clarify concepts and help students via email. Most of the time email communication will be sufficient. If need be, we can also meet in person or remotely using Zoom. Just send an email and we will schedule a date.


Thesis/Tesi
For any information about the thesis, please see iacopomasi.github.io/workwithme.html

 

Comunicazione dalla segreteria didattica

La comunità studentesca quando non riesce a prenotare una prova di esame deve verificare che gli appelli siano stati aperti, quindi soprattutto se si è fuori corso o coorti occorre scrivere a segr.didattica@di.uniroma1.it con la email istituzionale studente ed indicare:

- corso di laurea 
- anno di iscrizione al I anno
- insegnamento 
- docente con il quale prenotare l'appello 

 

 

Course Code Year Course - Attendance Bulletin board
FONDAMENTI DI PROGRAMMAZIONE 1015883 2023/2024

Quando: (solo in presenza) martedi 16.00-18.00, giovedi 15.00-18.00
Dove: Edificio: CU006-E01P01L083 Aula III, Castelnuovo, Dip di Matematica
Sito web: https://classroom.google.com/c/NjI1NTQ5ODY4MDQw
Forum: https://q2a.di.uniroma1.it

NATURAL LANGUAGE PROCESSING 1038141 2023/2024
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 10595618 2023/2024
FONDAMENTI DI PROGRAMMAZIONE 1015883 2022/2023
NATURAL LANGUAGE PROCESSING 1038141 2022/2023
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 10595618 2022/2023
FONDAMENTI DI PROGRAMMAZIONE 1015883 2021/2022
COMPUTER GRAPHICS 1047673 2021/2022
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 10595618 2021/2022
FONDAMENTI DI PROGRAMMAZIONE 1015883 2020/2021
ARCHITETTURA DEGLI ELABORATORI 1015881 2020/2021
FONDAMENTI DI PROGRAMMAZIONE 1015883 2019/2020
FONDAMENTI DI PROGRAMMAZIONE 1015883 2018/2019
FONDAMENTI DI PROGRAMMAZIONE 1015883 2017/2018

I am always available to clarify concepts and help students via email. Most of the time email communication will be sufficient. If need be, we can also meet in person or remotely using Zoom. Just send an email and we will schedule a date.

Dr. Iacopo Masi is Associate Professor in the Computer Science Department at Sapienza, University of Rome, PI and founder of the OmnAI Lab omnai.di.uniroma1.it. Till August 2022, he was also Adjunct Research Assistant Professor in the Computer Science Department at the University of Southern California (USC). Previously Dr. Masi was Research Assistant Professor and Research Computer Scientist at the USC Information Sciences Institute (ISI). Dr. Masi earned his Ph.D. degree in Computer Engineering from the University of Firenze, Italy. Immediately after, he moved to California and joined USC, where he was a postdoctoral scholar. Dr. Masi has been Area-Chair of several conferences in computer vision (WACVs, ICCV 21, ECCV 22) and currently serves as Associate Editor for The Visual Computer - International Journal of Computer Graphics. He organized an International Workshop on Human Identification at ICCV 17 and was Workshop Chair at SIBGRAPI 18. Dr. Masi was awarded the prestigious Rita Levi Montalcini award by the Italian government in 2018. Dr. Masi s main research interest lies in solving the computer vision problem. His background covers topics such as tracking, person re-identification, 2D/3D face recognition, and modeling, adversarial robustness, and facial manipulation detection.