My citations can be found on Google Scholar.

Theses

[1] Ph.D. thesis: Nonlinear propagation and effects in few-mode fibers

[2] M.Sc. thesis: Design of real-time optical coherence tomoraphy

Journal and conference articles

[1] F. Lorenzi, G. Marcon, A. Galtarossa, L. Palmieri, A. Mecozzi, C. Antonelli, and M. Santagiustina, “Nonlinear Interference Noise in Raman-amplified WDM Systems,” Journal of Lightwave Technology, pp. 1–11, 2023.

[2] D. Orsuti, G. Marcon, A. Turolla, M. Santagiustina, A. Galtarossa, M. Zampato, and L. Palmieri, “DAS over Multimode Fibers with Reduced Fading by Coherent Averaging of Spatial Modes,” IEEE Photonics Technology Letters, pp. 1–1, 2023.

[3] F. Lorenzi, G. Marcon, A. Galtarossa, L. Palmieri, A. Mecozzi, C. Antonelli, and M. Santagiustina, “Model for Nonlinear Interference Noise in Raman-amplified WDM systems,” in 2022 European Conference on Optical Communication (ECOC), IEEE, 2022, pp. 1–4.

[4] G. Marcon, A. Galtarossa, L. Palmieri, and M. Santagiustina, “Influence of birefringence-and core ellipticity-induced mode coupling on the gain statistics of forward-pumped Raman amplified few-mode fiber links,” Optics Express, vol. 30, no. 22, pp. 40 101–40 119, 2022.

[5] D. Orsuti, G. Marcon, A. Turolla, M. Santagiustina, A. Galtarossa, M. Zampato, and L. Palmieri, “Analysis of distributed acoustic sensing in multimode fibers based on heterodyne optical time domain reflectometry,” in Optical Fiber Sensors, Optica Publishing Group, 2022, Th4–27.

[6] S. Luca, P. R. Tecca, A. M. Deganutti, H. F. Martins, G.-R. Andrés, M. del Rosario Fernández-Ruiz, M.-L. Sonia, F. Zarattini, A. Pol, F. Gabrieli, R. Veronese, G. Guerra, G. Marcon, A. Galtarossa, A. Pasuto, M. González-Herráez, L. Palmieri, “Detecting debris flows by distributed acoustic sensing,” in 2020 Italian Conference on Optics and Photonics (ICOP), 2020.

[7] G. Marcon, A. Galtarossa, L. Palmieri, and M. Santagiustina, “C+L band gain design in few-mode fibers using Raman amplification and machine learning,” in 2020 Italian Conference on Optics and Photonics (ICOP), IEEE, 2020, pp. 1–4.

[8] G. Marcon, A. Galtarossa, L. Palmieri, and M. Santagiustina, “Gain design of few-mode fiber Raman amplifiers using an autoencoder-based machine learning approach,” in 2020 European Conference on Optical Communications (ECOC), IEEE, 2020, pp. 1–4.

[9] G. Marcon, A. Galtarossa, L. Palmieri, and M. Santagiustina, “Model-aware deep learning method for Raman amplification in few-mode fibers,” Journal of Lightwave Technology, vol. 39, no. 5, pp. 1371–1380, 2020.