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Pioneering hardware modeling and software design for optical infrastructure in the Autonomous Network project., , , , , , , , , and 3 other author(s). ONDM, page 1-6. IEEE, (2016)Demonstration of EDFA cognitive gain control via GMPLS for mixed modulation formats in heterogeneous optical networks., , , , , , , , , and 3 other author(s). OFC/NFOEC, page 1-3. IEEE, (2013)SDN-enabled EDFA gain adjustment cognitive methodology for dynamic optical networks., , , , , , , , and . ECOC, page 1-3. IEEE, (2015)Estimating EDFA output power with an efficient numerical modeling framework., , , , , , and . ICC, page 5222-5227. IEEE, (2015)Generalization Properties of Machine Learning-based Raman Models., , , , and . OFC, page 1-3. IEEE, (2021)Optimization of a Hybrid EDFA-Raman C+L Band Amplifier through Neural-Network Models., , , , , , , , , and . OFC, page 1-3. IEEE, (2021)Advancing Classical and Quantum Communication Systems with Machine Learning., , , , , , , , , and 1 other author(s). OFC, page 1-3. IEEE, (2020)Load Aware Raman Gain Profile Prediction in Dynamic Multi-Band Optical Networks., , , , , and . OFC, page 1-3. IEEE, (2020)Local and global approaches for the adaptive control of a cascade of amplifiers., , , , , , and . Photonic Netw. Commun., 33 (2): 194-207 (2017)Experimental Demonstration of Arbitrary Raman Gain-Profile Designs using Machine Learning., , , , and . OFC, page 1-3. IEEE, (2020)