Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37o ciclo (2021-2024)
Dipartimento di Elettronica e Telecomunicazioni (DET)
Profilo
Dottorato di ricerca
Argomento di ricerca
Digital Signal Processing assistito da Machine Learning per comunicazioni ottiche
Tutori
Interessi di ricerca
Biografia
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).
Didattica
Insegnamenti
Corso di laurea di 1° livello
- 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. 2021/22, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Minelli, Leonardo; Forghieri, Fabrizio; Shao, Tong; Shahpari, Ali; Gaudino, Roberto (2024)
TDECQ-Based Optimization of Nonlinear Digital Pre-Distorters for VCSEL-MMF Optical Links Using End-to-end Learning. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 42, pp. 621-635. ISSN 0733-8724
Contributo su Rivista - Minelli, Leonardo; Pellegrini, Saverio; Andrenacci, Lorenzo; Pilori, Dario; Bosco, ... (2023)
SOP-based DSP Blind Anomaly Detection for Sensing on Deployed Metropolitan Fibers. In: 49th European Conference on Optical Communications (ECOC), Glasgow (UK), 1-5 October 2023, pp. 1-4. ISSN 2688-254X. ISBN: 978-1-83953-926-8
Contributo in Atti di Convegno (Proceeding) - Minelli, Leonardo; Forghieri, Fabrizio; Shahpari, Ali; Shao, Tong; Gaudino, Roberto (2023)
TDECQ optimization of VCSEL-MMF nonlinear digital pre-distorters using end-to-end learning. In: 49th European Conference on Optical Communications (ECOC 2023), Glasgow, UK, 1-5 October 2023, pp. 526-529. ISBN: 978-1-83953-926-8
Contributo in Atti di Convegno (Proceeding) - Pellegrini, Saverio; Andrenacci, Lorenzo; Minelli, Leonardo; Pilori, Dario; Bosco, ... (2023)
Estimation Accuracy of Polarization State from Coherent Receivers for Sensing Applications. In: 2023 IEEE Photonics Conference (IPC), Orlando, FL (USA), 12-16 November 2023, pp. 1-2. ISSN 2575-274X. ISBN: 979-8-3503-4722-7
Contributo in Atti di Convegno (Proceeding) - 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), Turin (Italy), 18-21 September 2023. ISBN: 979-8-3503-1429-8
Contributo in Atti di Convegno (Proceeding)