Lorenzo Maggi  

 



  ![](/sites/default/files/person/Lorenzo_Maggi.png)

  

 Lorenzo Maggi is a Senior Research Scientist at NVIDIA, specializing in the convergence of wireless communications and machine learning.

Before joining NVIDIA, Lorenzo developed algorithmic solutions for 5G networks at Nokia Bell Labs France, focusing on energy efficiency, beamforming, scheduling, and radiation mitigation. Prior to this, he worked on network routing algorithms at Huawei France.

Lorenzo holds a master’s degree in telecommunication engineering from the University of Pavia, Italy, and a Ph.D. in applied mathematics from Eurecom, France.

He won the Best Paper Award at WiOpt 2014 and ITC 2017, and received the Nokia Inventor Award in 2022.

He also maintains a technical blog at [www.mlwithouttears.com](http://www.mlwithouttears.com).



   Research Area(s)

[Telecommunications](/research-area/telecommunications)

 

 

  

 Main Field of Interest

[Telecommunications](/research-area/telecommunications)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=o6\_hYz4AAAAJ&hl=fr](https://scholar.google.com/citations?user=o6_hYz4AAAAJ&hl=fr)

 

  

 

 

 



 ### Publications

 

### 2025 

[SALAD: Self-Adaptive Link Adaptation](/publication/2025-10_salad-self-adaptive-link-adaptation)

Reinhard Wiesmayr, [Lorenzo Maggi](/person/lorenzo-maggi), [Sebastian Cammerer](/person/sebastian-cammerer), [Jakob Hoydis](/person/jakob-hoydis), [Fayçal Aït Aoudia ](/person/faycal-ait-aoudia), [Alex Keller](/person/alex-keller)



[arXiv](https://arxiv.org/pdf/2510.05784)









[Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN](/publication/2025-05_sionna-research-kit-gpu-accelerated-research-platform-ai-ran)

[Sebastian Cammerer](/person/sebastian-cammerer), [Guillermo Marcus](/person/guillermo-marcus), [Tobias Zirr](/person/tobias-zirr), [Fayçal Aït Aoudia ](/person/faycal-ait-aoudia), [Lorenzo Maggi](/person/lorenzo-maggi), [Jakob Hoydis](/person/jakob-hoydis), [Alex Keller](/person/alex-keller)



[2025 IEEE International Conference on Machine Learning for Communication and Ne…](https://arxiv.org/pdf/2505.15848)