Ritratto di daniele.pannone@uniroma1.it

Thesis

 

For any information about thesis, join this Facebook group: https://www.facebook.com/groups/2678590702470478/ or email me!

AI Lab: Computer Vision and NLP 2021/2022

Course Website: https://sites.google.com/uniroma1.it/ailab-22/home

Second semester, starting from February 21.

Thursday, 8:00 - 10:00

Friday, 08:00 - 11:00

 

Classroom Aula 3, building CU028 (Sapienza Map: https://www.uniroma1.it/sites/default/files/PIANTA_LEGENDA_DEF_AGG_040414_1.pdf)

 

For those students that want to attend at home, the following zoom link can be used:

https://uniroma1.zoom.us/j/83036566145?pwd=VGYxTGJINnRoMUNMcUdydW4rZXFrUT09

 

Notice that the above link can be accessed only with a valid student email, which have the form <lastname>.<student_id>@studenti.uniroma1.it

Study material and course announcements can be found at the google classroom of the course:

https://classroom.google.com/c/NDY0MTkyNzU5NTYz?cjc=ihhfeud

 

News:

  • No lecture on 11/03/2022

Principles of Computer Science 2021/2022

 

Course Website: https://sites.google.com/uniroma1.it/pocsi-22/home

First semester, starting from October 5.

Tuesday, 11:00 - 14:00

Thursday, 9:00 - 11:00

 

Classroom Psicologia I, Fisiologia Generale e Antropologia Farmacia e Medicina (CU026, E01PS1L101).

 

To reach the classroom please enter the brown gate in front of the café of the Viale Regina Elena main entrance, walk through the path and enter the door where there is written Psicologia Aula on the top. The classroom is the first door on the left.

 

The lessons will be streamed on zoom for the students attending at home. The zoom link for the lessons is the following:

 

https://uniroma1.zoom.us/j/84057516058?pwd=UnJnSmQ4WEpoVWNoWnlscDhNaVBkdz09

 

Notice that you need an institutional email, i.e. <lastname.student_id@studenti.uniroma1.it>, to attend the zoom meeting.

 

Please, refer to the course website for further information about the course.

 

News

- No Lesson on Tuesday 26/10/2021

 

 

 

A.A 20/21

 

Fundamentals of Data Science and Laboratory 2020/2021

 

The Lab (only for DS students) takes place at:

 

  • Lab 15 (via Tiburtina 205) on Fridays 9:00-13:00 (note: updated time from Nov 20th)

 

Architettura degli Elaboratori 2020/2021

 

Il corso sarà tenuto dal Prof. Iacopo Masi. Per ulteriori informazioni, potete riferirvi al sito web del corso: https://iacopomasi.github.io/teaching.html

 

L'orario delle lezioni è disponibile alla pagina seguente: https://corsidilaurea.uniroma1.it/cdlcontroller-orari-cdl/2020/29923

 

Insegnamento Codice Anno Corso - Frequentare Bacheca
AI LAB: COMPUTER VISION AND NLP 10595610 2021/2022
PRINCIPLES OF COMPUTER SCIENCE I 1049253 2021/2022
PRINCIPLES OF COMPUTER SCIENCE I 1049253 2020/2021
FUNDAMENTALS OF DATA SCIENCE AND LABORATORY 1047264 2020/2021
ARCHITETTURA DEGLI ELABORATORI 1015881 2020/2021
FOUNDATIONS OF DATA SCIENCE 1047627 2020/2021
PRINCIPLES OF COMPUTER SCIENCE I 1049253 2019/2020
ARCHITETTURA DEGLI ELABORATORI 1015881 2018/2019
PRINCIPLES OF COMPUTER SCIENCE I 1049253 2018/2019
ARCHITETTURA DEGLI ELABORATORI 1015881 2017/2018
PRINCIPLES OF COMPUTER SCIENCE I 1049253 2017/2018

English
It is possible to book an appointment by mail. Due to the pandemic situation, the appointment will be held online by using any of the common communication software, e.g. meet, zoom.

Italiano
È possibile prenotare il ricevimento inviando una mail. Data la corrente situazione pandemica, il ricevimento si svolgerà in forma online utilizzando i più comuni software di comunicazioni quali meet e zoom.

Daniele Pannone is an Assistant Professor at the Department of Computer Science, Sapienza University (Rome). Since 2015, he is a member of the Computer Vision Laboratory (VisionLab) in the same department, and he has obtained the Ph.D. in 2018 under the supervision of Professor Luigi Cinque and Professor Danilo Avola, working on algorithms for smart environment monitoring through drones. Daniele's research topics are mainly focused on Computer Vision, Machine/Deep Learning and Signal Processing.

Daniele is a member of IAPR, CVPL and IEEE.