Andrea D’Amico is a Researcher in the Optical Networking and Sensing Department at NEC Laboratories America. He holds a Ph.D. in Telecommunications Engineering from Politecnico di Torino, where his research focused on quality of transmission estimation, nonlinear fiber modeling, and the application of machine learning to open optical networks. He also earned a Master’s degree in Theoretical Physics and a Bachelor’s degree in Physics from the Università di Pisa.
At NEC, Andrea conducts advanced research for the integration of physical-layer modeling and system-level intelligence to support the evolution of large-scale optical networks. His work focuses on abstracting complex signal behaviors into models that inform automation, optimization, and control across diverse deployment scenarios. By aligning physical accuracy with network adaptability, he contributes to the development of flexible and high-capacity infrastructures capable of meeting the demands of next-generation connectivity.
We demonstrated under six minutes automatic provisioning of optical paths over field- deployed alien access links and WDM carrier links using commercial-grade ROADMs, whitebox mux-ponders, and multi-vendor transceivers. With channel probing, transfer learning, and Gaussian noise model, we achieved an estimation error (Q-factor) below 0.7 dB
