IEEE Wireless Communications Magazine
My work lies at the intersection of Deep Learning and Wireless Communications, especially related to applications of DL to PHY layer communication.
- Advisor: Prof. Kaushik Chowdhury
Proceedings of IEEE INFOCOM 2019.
No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical- Layer Hardware Impairments
IEEE Transactions on Cognitive Communications and Networking 2019.
Deepradioid: Real-time channel-resilient optimization of deep learning-based radio fingerprinting algorithms
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019
2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
Google Scholar profile
I received my BS in 2013 and MS in 2017 in Computer Science at University of Bologna.
My passion for academic research emerged at the end of my undergraduate studies, when in 2012 I was awarded a 2 years fellowship as a technical student by INFN (National Institute of Nuclear Physics) in Italy. I studied and conducted my own research on heterogeneous computing and GPGPU applications. I had the opportunity to collaborate with different teams at INFN that wanted to integrate these technologies in their experiments.
At the end of my MS, I was selected, along with another student, to participate in a 6 months internship at Datalogic ADC in Pasadena (CA) to work in the field of Deep Learning and Computer Vision applied to OCR systems.
- Deep Learning
- Swarm Intelligence
- Mobile systems
- Wireless Communications
- Heterogeneous computing
- Parallel and Distributed computing
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