Contributions

Theoretical/Simulative analysis:
· I. Khan et al, “Machine Learning Driven Model for Software management of Photonics Switching Systems”

Contributions

Experimental results:
· E. Virgillito et al, “Experimental Validation of QoT Computation in Mixed 10G/100G Networks”

Invited talks:
· G. Borraccini, “Autonomous optical line control in disaggregated networks”

Theoretical/Simulative analysis:
· E. London et al, “Observing Cross-Channel NLI Generation in Disaggregated Optical Line Systems”
· I. Khan et al, “Autonomous Control Model for C+L Multi-Band Photonic Switch System Using Machine Learning”
· I. Khan et al, “Machine Learning Assisted Accurate Estimation of QoT Impairments of Photonics Switching System on 400ZR”
· B. Correia et al, “QoT Evaluation of Optical Line System Transmission With Bismuth-Doped Fiber Amplifiers in the E-Band”

Contributions

Theoretical/Simulative Analysis:
· R. Sadeghi et al, “Network Capacity and Energy Consumption: Transparent C+L-band vs Translucent C-band”

Contributions

Invited talks:
· V. Curri, “GNPy Model for Design of Open and Disaggregated Optical Networks”

On the special event “Wideband Optical Networks (WON)”:
· V. Curri, “Overview of WP1 – Network management: planning and control, and WP2 – Digital signal processing and system modelling”
· R. Sadeghi, “Comparison of Transparent C+L Band Network versus C-band Translucent Upgrade”
· B. Correia, “Impact on quality of transmission of launch power choice for wide-band scenarios”
· E. London, “Nonlinear interference generation in wideband and disaggregated optical networks”

Theoretical/Simulative analysis:
· N. Sambo et al, “Multiband Seamless Network Upgrade by Exploiting the E-band”
· R. Sadeghi et al, “Optimized Translucent S-band Transmission in Multi-Band Optical Networks”

Contributions

Theoretical/Simulative Analysis:
· R. Sadeghi et al, “Cost-Effective Capacity Increase of Deployed Optical Networks to
Support the Future Internet: the Multi-Band Approach”

Contributions

Theoretical/Simulative Analysis:
· I. Khan et al, “Machine Learning Assisted Model of QoT Penalties for Photonics Switching Systems”

Contributions

Theoretical/Simulative analysis:
· I. Khan et al, “A Neural Network-Based Automatized Management of N ×N Integrated Optical Switches”

Contributions

Invited talks:
· V. Curri, “Challenges in transmission modeling for multi-band optical networking”
Theoretical/Simulative Analysis:
· I. Khan et al, “A Data-Driven Approach to Autonomous Management of Photonic Switching System”
· B. Correia et al, “ Multiband Power Control Impact on the Transmission Capacity of Optical Line Systems”
· R. Sadeghi et al, “C+L-band Network Upgrade: Capacity and Energy Analyses with Different Transceivers”
· S. Alam et al, “Routing and Spectrum Allocation Heuristic for Sliced Elastic Optical Network System”

Contributions

Theoretical/Simulative Analysis: · R. Sadeghi et al, “Network Comparison of C+L-Band Transparent Versus C-Band Translucent Upgrade”
· A. D’Amico et al, “Inter-Band GSNR Degradations and Leading Impairments in C+L Band 400G Transmission”
· F. Shahzad et al, “Impairment-Aware Virtual Network Embedding Using Time Domain Hybrid Modulation Formats in Optical Networks”
Posters:
· I. Khan et al, “Softwarized and Autonomous Management of Photonic Switching Systems Using Machine Learning”
· G. Borraccini et al, “Statistical Analysis of GSNR Fluctuations Due to Physical Layer Uncertainties”

Contributions

Theoretical/Simulative Analysis:
· R. Sadeghi et al, “Comparison of Transceiver and C+L Band Upgrades: Network Traffic and Energy Assessment”
· E. Virgillito et al, “QoT Computation for 100G Lightpaths Routed on10G-loaded Dispersion-Managed Network Segments”
· S. Alam et al, “Modeling Off-line Routing and Spectrum Allocation Problem in Elastic Optical Network”
· F. Usmani et al, “Evaluating Cross-feature Trained Machine Learning Models for Estimating QoT of Unestablished Lightpaths”

Contributions

Experimental results:
· A. D’Amico et al, “GNPy experimental validation on flex-grid, flex-rate WDM optical transport scenarios”
· E. Virgillito et al, “Testing TIP Open Source Solutions in Deployed Optical Networks”
· G. Borraccini et al, “QoT-E Driven Optimized Amplifier Control in Disaggregated Optical Networks”
· G. Borraccini et al, “Autonomous Physical Layer Characterization in Cognitive Optical Line Systems”

Theoretical/simulative analysis:
· E. Virgillito et al, “Single- vs. Multi-Band Optimized Power Control in C+L WDM 400G Line Systems”
· B. Correia et al, “Optical Power Control Strategies for Optimized C+L+S-bands Network Performance”
· R. Sadeghi et al, “Performance Comparison of Translucent C-band and Transparent C+L-band Network”

Demo:
· Jan Kundrat et al, “GNPy & YANG: Open APIs for End-to-End Service Provisioning in Optical Networks”

Contributions

Experimental results:
• G. Borraccini et al, “Autonomous Raman Amplifiers in Software-Defined Optical Transport Networks”

Theoretical/simulative analysis:
• B. Correia et al, “Networking Performance of Power Optimized C+L+S Multiband Transmission”

Contributions

Experimental results:
· A. Ferrari et al, “Softwarized optical transport QoT in production optical network: a brownfield validation”
· G. Borraccini et al, “Using QoT-E for Open Line Controlling and Modulation Format Deployment: an Experimental Proof of Concept”

Contributions

Experimental resuts:
• G. Borraccini et al, “Flexible and Autonomous Multi-band Raman Amplifiers”

Theoretical/simulative analysis:
• I. Khan et al, “Effectiveness of Machine Learning in Assessing QoT Impairments of Photonics Integrated Circuits to Reduce System Margin”
• R. Sadeghi et al, “Multi Bands Network Performance Assessment for Different System Upgrades”

Contributions

Experimental results:
• A. Ferrari et al, “The GNPy Open Source Library of Applications for Software Abstraction of WDM Data Transport in Open Optical Networks”

Contributions

Theoretical/simulative analysis:
· A. D’Amico et al, “Networking merit of spatial-division and band-division multiplexing: A statistical assessment” (Invited)
· V. Curri, “Software-defined WDM optical transport in disaggregated open optical networks” (Keynote)
· V. Curri, “Multi-band and multi-service open optical networks: Applications and perspectives” (Invited)
· N. Sambo et al, “Beyond C-band in optical networks” (Invited)
· E. Virgillito et al, “Non-linear SNR degradation of mixed 10G/100G transmission over dispersion-managed networks” (Invited)
· I. Khan et al, “Machine learning assisted abstraction of photonic integrated circuits in fully disaggregated transparent optical networks” (Invited)
· I. Khan et al, “QoT estimation for light-path provisioning in un-seen optical networks using machine learning”
· I. Khan et al, “Advanced formulation of QoT-estimation for un-established lightpaths using cross-train machine learning methods”

Contributions

Experimental results:
• A. Ferrari et al, “GNPy: An Open Source Planning Tool for Open Optical Networks”
• G. Borraccini et al, “Softwarized and Autonomous Raman Amplifiers in Multi-Band Open Optical Networks”

Theoretical/simulative analysis:
• E. Virgillito et al, “Network Performance Assessment with Uniform and Non-Uniform Nodes Distribution in C+L Upgrades vs. Fiber Doubling SDM Solutions”
• A. D’Amico et al, “Quality of Transmission Estimation for Planning of Disaggregated Optical Networks”