Federico Brunero

Federico Brunero

Senior Research Engineer

Huawei

Biography

I am a Senior Research Engineer at the Huawei Research Center in Munich. My current research focuses on coherent optical communications, more specifically on the low-power and low-complexity implemention of DSP algorithms.

In 2022, I obtained my PhD in Computer Science, Telecommunications and Electronics from Sorbonne Université. During my doctoral studies, I conducted my research in the Communication Systems Department at EURECOM under the supervision of Prof. Petros Elia. My PhD thesis focused on the combinatorial and information-theoretic aspects of caching and computing networks.

In 2017, I received my Bachelor’s Degree in Telecommunications Engineering from the Politecnico di Torino. In 2019, thanks to the TOP-UIC double degree program, I received both the Master’s Degree in Communications and Computer Networks Engineering from the Politecnico di Torino and the Master of Science in Electrical and Computer Engineering from the University of Illinois Chicago (UIC), where I completed my master’s thesis under the supervision of Prof. Daniela Tuninetti and Prof. Natasha Devroye.

During the PhD I decided to deepen my knowledge of machine learning and data science following the courses given by the Data Science Department at EURECOM. Hence, I received in 2021 the Master of Science in Data Science and Engineering co-accredited by the Institut Mines-Télécom (IMT).

Currently, my research interests include digital signal processing, optical communications and wireless systems in addition to machine learning, information theory and coding theory.

I am a passionate LaTeX user and a digital typography enthusiast. I play the piano and I love trekking. I excitedly follow the Formula 1 Championship.

Interests
  • Optical Communications
  • Wireless Systems
  • Machine Learning
  • Information Theory
  • Coding Theory
Education
  • PhD in Computer Science, Telecommunications and Electronics, 2022

    Sorbonne Université, France

  • Master of Science in Data Science and Engineering, 2021

    Institut Mines-Télécom and EURECOM, France

  • Master of Science in Electrical and Computer Engineering, 2019

    University of Illinois Chicago, US

  • Master's Degree in Communications and Computer Networks Engineering, 2019

    Politecnico di Torino, Italy

  • Bachelor's Degree in Telecommunications Engineering, 2017

    Politecnico di Torino, Italy

Experience

 
 
 
 
 
Optical Researcher
Jun 2023 – Present Munich, Germany
  • Research in coherent optical communications with focus on low-power and low-complexity implementation of DSP algorithms.
  • Development of simulation platforms in Python to test and validate PoCs.
 
 
 
 
 
Research Assistant
Jul 2019 – Dec 2022 Sophia Antipolis, France
  • Research conducted under the supervision of Prof. Petros Elia and supported by the European Research Council (ERC) through the EU Horizon 2020 Research and Innovation Program under Grant 725939 (Project DUALITY).
  • Teaching assistant for the course Information Theory (2021), for the semester project 6G Communications for Virtual Reality Networks (2022).
 
 
 
 
 
MATLAB Student Ambassador
Oct 2017 – Jul 2018 Torino, Italy
  • Managed a community of students at the Politecnico di Torino through a Facebook group.
  • Organized seminars about the MATLAB software and its toolboxes with focus on image processing applications and linear algebra.
 
 
 
 
 
Curriculum Internship
Mar 2017 – Jun 2017 Venaria Reale, Italy
  • Analyzed and interpreted data from accelerometers. Data processing software developed in C#.
  • Exploited digital filters to make statistical analysis of the data extracted with the developed software.

Publications

Quickly discover relevant content by filtering publications.
(2022). On the Optimality of Coded Caching With Heterogeneous User Profiles. 2022 IEEE Information Theory Workshop (ITW).

PDF Cite DOI

(2022). Coded Caching Does Not Generally Benefit From Selfish Caching. 2022 IEEE International Symposium on Information Theory (ISIT).

PDF Cite DOI

(2022). The Exact Load-Memory Tradeoff of Multi-Access Coded Caching With Combinatorial Topology. 2022 IEEE International Symposium on Information Theory (ISIT).

PDF Cite DOI

(2022). Unselfish Coded Caching Can Yield Unbounded Gains Over Selfish Caching. IEEE Transactions on Information Theory.

PDF Cite DOI

(2022). Fundamental Limits of Combinatorial Multi-Access Caching. IEEE Transactions on Information Theory.

PDF Cite DOI