Mauro Belgiovine

27 papers A* 2B 3Misc 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Better Together: Leveraging Multiple Digital Twins for Deployment Optimization of Airborne Base Stations.
IEEE Trans. Mob. Comput.
Mauro Belgiovine, Chris Dick, Kaushik R. Chowdhury
2025 B conf
ATLAS: AI-Native Receiver Test-and-Measurement by Leveraging AI-Guided Search.
PIMRC
Mauro Belgiovine, Suyash Pradhan, Johannes Lange, Michael Löhning, Kaushik R. Chowdhury
2025 J jnl
ATLAS: AI-Native Receiver Test-and-Measurement by Leveraging AI-Guided Search.
CoRR
Mauro Belgiovine, Suyash Pradhan, Johannes Lange, Michael Löhning, Kaushik R. Chowdhury
2025 J jnl
Better Together: Leveraging Multiple Digital Twins for Deployment Optimization of Airborne Base Stations.
CoRR
Mauro Belgiovine, Chris Dick, Kaushik R. Chowdhury
2025 J jnl
Programmable and GPU-Accelerated Edge Inference for Real-Time ISAC on NVIDIA ARC-OTA.
CoRR
Davide Villa, Mauro Belgiovine, Nicholas Hedberg, Michele Polese, Chris Dick, Tommaso Melodia
2024 — conf
Leveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN.
ICC
Chinenye Tassie, Brian Kim, Joshua Groen, Mauro Belgiovine, Kaushik R. Chowdhury
2024 Misc conf
MEGATRON: Machine Learning in 5G with Analysis of Traffic in Open Radio Access Networks.
ICNC
Mauro Belgiovine, Jerry Gu, Joshua Groen, Miquel Sirera, Utku Demir, Kaushik R. Chowdhury
2024 A* conf
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge.
INFOCOM
Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury
2024 J jnl
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge.
CoRR
Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Ayberk Yarkin Yildiz, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury
2024 — conf
TRACTOR: Traffic Analysis and Classification Tool for Open RAN.
ICC
Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury
2023 J jnl
Detection of Co- Existing RF Signals in CBRS Using ML: Dataset and API-Based Collection Testbed.
IEEE Commun. Mag.
Chinenye Tassie, Abdo Gaber, Vini Chaudhary, Nasim Soltani, Mauro Belgiovine, Michael Löhning, Vincent Kotzsch, Charles Schroeder, Kaushik R. Chowdhury
2023 J jnl
Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard.
Comput. Networks
Debashri Roy, Batool Salehi, Stella Banou, Subhramoy Mohanti, Guillem Reus Muns, Mauro Belgiovine, Prashant Ganesh, Chris Dick, Kaushik R. Chowdhury
2023 — conf
Improve Your Aim: A Deep Reinforcement Learning Approach for 5G NR mmWave Beam Refinement.
ICC
Mauro Belgiovine, Kaushik R. Chowdhury
2023 J jnl
TRACTOR: Traffic Analysis and Classification Tool for Open RAN.
CoRR
Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury
2022 J jnl
Automated deep learning-based wide-band receiver.
Comput. Networks
Bahar Azari, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D'Oro, Tommaso Melodia, Yanzhi Wang, Pau Closas, Kaushik R. Chowdhury, Deniz Erdogmus
2022 J jnl
Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard.
CoRR
Debashri Roy, Batool Salehi, Stella Banou, Subhramoy Mohanti, Guillem Reus Muns, Mauro Belgiovine, Prashant Ganesh, Carlos Bocanegra, Chris Dick, Kaushik R. Chowdhury
2022 J jnl
Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices.
IEEE Internet Things Mag.
Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury
2022 J jnl
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices.
CoRR
Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury
2021 J jnl
Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO.
IEEE Wirel. Commun.
Mauro Belgiovine, Kunal Sankhe, Carlos Bocanegra, Debashri Roy, Kaushik R. Chowdhury
2021 J jnl
Machine Learning on Camera Images for Fast mmWave Beamforming.
CoRR
Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2020 B conf
Machine Learning on Camera Images for Fast mmWave Beamforming.
MASS
Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2020 J jnl
No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments.
IEEE Trans. Cogn. Commun. Netw.
Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Luca Angioloni, Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia, Stratis Ioannidis, Kaushik R. Chowdhury
2020 — conf
Software Defect Prediction on Unlabelled Datasets: A Comparative Study.
ICCSA (2)
Elisabetta Ronchieri, Marco Canaparo, Mauro Belgiovine
2019 B conf
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms.
MobiHoc
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia
2019 J jnl
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms.
CoRR
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia
2019 A* conf
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks.
INFOCOM
Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury
2018 J jnl
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks.
CoRR
Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury