Fabrizio Carpi

my_pic 

Fabrizio Carpi
PhD Student in Electrical Engineering
Tandon School of Engineering, New York University

EnSuRe Research Group
CommIT Research Group
NYU WIRELESS Research Center

Contact

370 Jay Street
9th floor - NYU WIRELESS
Brooklyn, NY 11201

Email: fabrizio.carpi@nyu.edu

Linkedin | Github | Google Scholar | ORCID

News

06/2023

I joined Samsung Research America, TX, as a Research Intern for the summer.

05/2023

I presented our work on Precoding-oriented Massive MIMO CSI Feedback Design at ICC 2023 (slides, photo).

06/2022

I joined Nokia Bell Labs, NJ, as a Communication Systems Intern for the summer.
I also received the Global Student Program 2022 Outstanding Innovation Award.

05/2022

I received the 2022 Dante Youla Award for Graduate Research Excellence in Electrical Engineering (photo,link).

09/2021

I presented our paper on Compression for Hypothesis Testing at SPAWC 2021 (slides, video).
We received the Best Student Paper Award (2nd place) (link).

06/2021

I presented a poster about our work on Compression for Hypothesis Testing at CTW, NASIT and ITR3@ICML.
We won the Best Poster Award (1st place) at the 2021 IEEE Communication Theory Workshop (link).

05/2021

I joined Intel as a Wireless Standards Research Intern for the summer.

05/2021

I received the 2021 David C. and Cecilia M. Chang Education Award in Electrical and Computer Engineering (link).

09/2019

I presented our work on Reinforcement Learning for Channel Coding at the 57th Allerton Conference (slides).

09/2019

I joined the NYU Tandon School of Engineering as a PhD student in Electrical Engineering.
I am working under the supervision of Prof. Siddharth Garg and Prof. Elza Erkip.

11/2018

I joined the IoTLab, Department of Engineering and Architecture, University of Parma, as Research Associate.
I am working on outdoor/indoor localization for 5G systems, under the supervision of Prof. Gianluigi Ferrari.

10/2018

I got my Master of Science in Communication Engineering (summa cum laude) from University of Parma.
I defended a thesis with title “Exploring Machine Learning Algorithms for Decoding Linear Block Codes”.
Thesis advisors: Riccardo Raheli, Henry D. Pfister, Christian Häger, Marco Martalò.

08/2018

I finished my 6 months exchange at Duke University, where I was working on my Master's thesis.
I visited Prof. Henry D. Pfister's group at Information Initiative at Duke.