Bernardo Camajori Tedeschini

Politecnico di Milano, DEIB, MIT Wireless Information and Network Sciences Laboratory.
"Innovating at the intersection of machine learning and distributed networks."

Camajori_Tedeschini_photo.jpg

Bernardo Camajori Tedeschini (Member, IEEE) received the B.Sc. (Hons.) degree in Computer Science Engineering, the M.Sc. (Hons.) degree in Telecommunications Engineering, and the Ph.D. (Hons.) degree in Information Technology from the Politecnico di Milano, in 2019, 2021, and 2024, respectively.

He served as a Visiting Ph.D. Researcher at the Wireless Information and Network Sciences Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 2023 and 2024. In 2021, he was a Visiting Research Scientist at CERN, Geneva, Switzerland, where he worked on the CAFEIN project, focusing on the development and deployment of a federated network platform. His research interests encompass cooperative machine learning in distributed systems and localization methods.

Dr. Camajori Tedeschini is a recipient of a Ph.D. grant from the Italian Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR) and of the Roberto Rocca Doctoral Fellowship, jointly awarded by MIT and Politecnico di Milano. He was recognized with the Prof. Florian Daniel Award for the best Ph.D. thesis in Information Technology at the Politecnico di Milano, the Dimitris N. Chorafas Foundation Award for outstanding scientific contributions, and the Springer Award for an exceptional Ph.D. dissertation in Information Technology.

selected publications

  1. ACCESS1.jpg
    Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
    Bernardo Camajori Tedeschini, Stefano Savazzi, Roman Stoklasa, and 4 more authors
    IEEE Access, Jan 2022
    DOI
    185 Google Scholar citations
  2. JSAC1.jpg
    On the Latent Space of mmWave MIMO Channels for NLOS Identification in 5G-Advanced Systems
    Bernardo Camajori Tedeschini, Monica Nicoli, and Moe Z. Win
    IEEE Journal on Selected Areas in Communications, Jun 2023
    DOI
    27 Google Scholar citations
  3. JSAC2.jpg
    Cooperative Deep-Learning Positioning in mmWave 5G-Advanced Networks
    Bernardo Camajori Tedeschini, and Monica Nicoli
    IEEE Journal on Selected Areas in Communications, Dec 2023
    DOI
    30 Google Scholar citations
  4. COMST.jpg
    A Tutorial on 5G Positioning
    Lorenzo Italiano, Bernardo Camajori Tedeschini, Mattia Brambilla, and 3 more authors
    IEEE Communications Surveys & Tutorials, Aug 2024
    DOI
    83 Google Scholar citations
  5. JSAC3.jpg
    Real-Time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking
    Bernardo Camajori Tedeschini, Girim Kwon, Monica Nicoli, and 1 more author
    IEEE Journal on Selected Areas in Communications, Sep 2024
    DOI
    15 Google Scholar citations
  6. PhD_thesis.jpg
    Cooperative Machine Learning Methods in Distributed Systems
    Bernardo Camajori Tedeschini
    PhD thesis, Jan 2025
    PDF