Picture of Francesca Diedolo

M.Sc. Francesca Diedolo

Technical University of Munich

Chair of Communications Engineering (Prof. Kramer)

Postal address

Theresienstr. 90
80333 München


  • Doctoral researcher at the Chair of Communications Engineering at TUM since February 2021
  • M.Sc. in Communications Engineering at TUM, 2018-2020
  • B.Sc. in Electrical Engineering and Information Technology at Università degli Studi di Padova, 2015-2018

Available Theses

Factor Graphs and the Sum-Product Algorithm



This paper [1] introduces factor graphs and describes the sum-product algorithm, which is a generic message-passing algorithm operating on factor graphs. The algorithm computes various marginal functions associated with the global function.  

This algorithm is very powerful, in fact, a surprisingly wide variety of algorithms developed in the artificial intelligence, signal processing, and digital communications communities can be seen as specific instances of the sum-product algorithm, operating in an appropriately chosen factor graph. Some examples are the forward/backward algorithm, the Viterbi algorithm, Pearl’s belief propagation algorithm, the iterative turbo decoding algorithm, the Kalman filter, and even certain FFT algorithms.

The task of the student is to learn and understand factor graphs and the sum-product algorithm. The student can then relate and analyze other known algorithm under the framework of the sum-product algorithm.

[1] https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=910572


Information Theory


Theses in Progress

Spiking Neural Networks for IM/DD systems


During the internship the student investigates spiking neural networks to perform equalization and demapping at the receiver side of an intensity-modulation / direct-detection communication system.


Francesca Diedolo - Georg Böcherer (Huawei)

Radio Traffic Classification with Deep Neural Networks


The goal of this internship is to classify raw radio signal data to the respective application layer traffic type using machine learning.





Francesca Diedolo - Dr. Alberto Viseras (Motius GmbH)



  • Diedolo, F.; Böcherer, G.; Schädler M.; Calabrò S.: Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error. European Conference on Optical Communication (ECOC), 2022 more… BibTeX
  • Schädler, M.; Böcherer, G.; Diedolo, F.; Calabrò, S.: Nonlinear Component Equalization: A Comparison of Deep Neural Networks and Volterra Series. European Conference on Optical Communication (ECOC), 2022 more… BibTeX


  • Böcherer, G.; Diedolo, F.; Pittala, F.: Label Extension for 32QAM: The Extra Bit for a Better FEC Performance-Complexity Tradeoff. 2020 European Conference on Optical Communications (ECOC), IEEE, 2021 more… BibTeX Full text ( DOI )