Performance analysis of QoT estimator in SDN-controlled ROADM networks. - Alan A. Diaz-Montiel; Jiakai Yu; Weiyang Mo; Yao Li 034; Daniel C. Kilper; Marco Ruffini (ONDM, 2018)

Active Wavelength Load as a Feature for QoT Estimation Based on Support Vector Machine. - Alan A. Diaz-Montiel; Sandra Aladin; Christine Tremblay; Marco Ruffini (ICC, 2019)

A Performance Analysis of Supervised Learning Classifiers for QoT Estimation in ROADM-Based Networks. - Alan A. Díaz-Montiel; Marco Ruffini (ONDM, 2019)

Demonstration of Software-Defined Packet-Optical Network Emulation with Mininet-Optical and ONOS. - Bob Lantz; Alan A. Díaz-Montiel; Jiakai Yu; Christian Rios; Marco Ruffini; Dan Kilper (OFC, 2020)

Hybrid Machine Learning EDFA Model. - Shengxiang Zhu; Craig Gutterman; Alan A. Diaz-Montiel; Jiakai Yu; Marco Ruffini; Gil Zussman; Daniel C. Kilper (OFC, 2020)

Real-Time Control Plane Operations for gOSNR QoT Estimation through OSNR Monitoring. - Alan A. Díaz-Montiel; Ayush Bhardwaj; Bob Lantz; Jiakai Yu; Aamir N. Quraishy; Dan Kilper; Marco Ruffini (OFC, 2021)

SDN-controlled Dynamic Front-haul Provisioning, Emulated on Hardware and Virtual COSMOS Optical x-Haul Testbeds. - Bob Lantz; Jiakai Yu; Ayush Bhardwaj; Alan A. Díaz-Montiel; Aamir Quraishy; Steven Santaniello; Tingjun Chen; Rina Fujieda; Atri Mukhopadhyay; Gil Zussman; Marco Ruffini; Dan Kilper (OFC, 2021)

Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification. - Xavier Mootoo; Alan A. Díaz-Montiel; Milad Lankarany; Hina Tabassum (CoRR, 2024)