PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37th cycle (2021-2024)
Department of Electronics and Telecommunications (DET)
Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Machine Learning aided Digital Signal Processing for Optical Communication
Tutors
Research interests
Biography
He is currently a Ph.D. student in the Dipartimento di Elettronica e Telecomunicazioni (DET) at Politecnico di Torino, where it work within the Optical Communication Group (OptCom), under the supervision of Roberto Gaudino and Gabriella Bosco .
His research work is currently focused on investigating the use of Machine Learning algorithms in support of the Digital Signal Processing (DSP) techniques conventionally adopted for optical communication systems.+
In particular, together with Roberto Gaudino, he is currently developing efficient optimization algorithms based on Artificial Neural Networks ,in order to perform nonlinear Digital Pre-Distortion in Data Center Interconnects (DCI). Marketwise, most of short reach DCI with a range up to 100 meters are low cost IM-DD (Intensity Modulation-Direct Detection) optical links leveraging the use of Multi-Modal Fiber (MMF) and Vertical-Cavity Surface-Emitting Lasers (VCSEL), which require the use of DSP blocks within the transceiver in order to reliably transmit at extremely high bit-rates (more than 100 Gbps per lambda).
Together with Gabriella Bosco, he is also investigating the use of Machine Learning-aided DSP in the field of Quality of Transmission (QoT) and Optical Performance Monitoring (OPM): in particular, developing efficient monitoring tools to estimate the Inter-Channel Interference (ICI) variations over gridless Nyquist-WDM (Wavelength Division Multiplexing) Optical transport Networks (OTN).
Teaching
Teachings
Bachelor of Science
- Workshop "Algorithms for Music Processing". A.A. 2021/22, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
- Workshop "Algorithms for Music Processing". A.A. 2022/23, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
- Workshop "Algorithms for Music Processing". A.A. 2023/24, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Minelli, Leonardo; Forghieri, Fabrizio; Shao, Tong; Shahpari, Ali; Gaudino, Roberto (2023)
TDECQ-Based Optimization of Nonlinear Digital Pre-Distorters for VCSEL-MMF Optical Links Using End-to-end Learning. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, pp. 1-15. ISSN 0733-8724
Contributo su Rivista - Minelli, Leonardo; Forghieri, Fabrizio; Gaudino, Roberto (2023)
Experimental VCSEL Digital Twin modeling for net 100 Gb/s/λ nonlinear Digital Pre-Distortion. In: Conference on NUmerical Simulation of Optoelectronic Devices (NUSOD), Torino, 18-21 Settembre 2023
Contributo in Atti di Convegno (Proceeding) - Minelli, Leonardo; Forghieri, Fabrizio; Shao, Tong; Shahpari, Ali; Gaudino, Roberto (2023)
Net 100 Gb/s/λ VCSEL+MMF nonlinear Digital Pre-Distortion using Convolutional Neural Networks. In: Optical Fiber Communication Conference (OFC) 2023, San Diego, California, United States, 05-09 March 2023. ISBN: 978-1-957171-18-0
Contributo in Atti di Convegno (Proceeding) - Hraghi, A.; Minelli, L.; Nespola, A.; Piciaccia, S.; Bosco, G. (2023)
Experimental Demonstration of Linear Inter-Channel Interference Estimation Based on Neural Networks. In: IEEE PHOTONICS JOURNAL, vol. 15, pp. 1-6. ISSN 1943-0655
Contributo su Rivista - Minelli, Leonardo; Forghieri, Fabrizio; Gaudino, Roberto (2022)
Nonlinear Pre-distortion through a Multi-rate End-to-end Learning Approach over VCSEL-MMF IM-DD Optical Links. In: 2022 European Conference on Optical Communication (ECOC), Basel, Switzerland, 18-22 September 2022, pp. 1-4. ISBN: 978-1-957171-15-9
Contributo in Atti di Convegno (Proceeding)