Fabrizio Carpi
News
- 09/2024
I joined Samsung Research America in Plano, TX, as a Senior Research Engineer.
- 08/2024
I successfully defended my PhD thesis! (photo)
- 05/2024
I received the 2024 David Goodman Leadership and Academic Excellence Award in Electrical Engineering (photo,link).
- 06/2023
I joined Samsung Research America in Plano, 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.
|