A Novel Information Theoretic Cost Measure for Filtering Based Feature Selection from Hyperspectral Images. - Vikas Kookna; Ankit Kumar Singh; Agastya Raj; Biplab Banerjee (CVIP (1), 2019)

Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain. - Agastya Raj; Zehao Wang; Frank Slyne; Tingjun Chen; Dan Kilper; Marco Ruffini (CoRR, 2023)

A Multi-Task Learning Framework for Underwater Acoustic Channel Prediction: Performance Analysis on Real-World Data. - Tian Tian; Agastya Raj; Bruno Missi Xavier; Ying Zhang 023; Fei-Yun Wu; Kunde Yang (IEEE Trans. Wirel. Commun., 2024)

Coexistence of Digital Coherent, mmWave and sub-THz Analog RoF Services using OSaaS over converged access-metro live production network. - Devika Dass; Amol Delmade; Agastya Raj; Eoin Kenny; Dan Kilper; Liam P. Barry; Marco Ruffini (OFC, 2025)

Real-Time Streaming Telemetry Based Detection and Mitigation of OOK and Power Interference in Multi-User OSaaS Networks. - Agastya Raj; Devika Dass; Daniel C. Kilper; Marco Ruffini (OFC, 2025)

Scalable Machine Learning Models for Optical Transmission System Management. - Zehao Wang; Agastya Raj; Giacomo Borraccini; Shaobo Han; Yue-Kai Huang; Ting Wang 016; Marco Ruffini; Dan Kilper; Tingjun Chen (OFC, 2025)

Multi-Span Optical Power Spectrum Evolution Modeling using ML-based Multi-Decoder Attention Framework. - Agastya Raj; Zehao Wang; Frank Slyne; Tingjun Chen; Dan Kilper; Marco Ruffini (CoRR, 2025)

Interference Identification in Multi-User Optical Spectrum as a Service using Convolutional Neural Networks. - Agastya Raj; Zehao Wang; Frank Slyne; Tingjun Chen; Dan Kilper; Marco Ruffini (CoRR, 2025)

Transfer Learning for EDFA Gain Modeling: A Semi-Supervised Approach Using Internal Amplifier Features. - Agastya Raj; Dan Kilper; Marco Ruffini (CoRR, 2025)

Interference Detection in Spectrum-Blind Multi-User Optical Spectrum as a Service. - Agastya Raj; Daniel C. Kilper; Marco Ruffini (CoRR, 2025)

Generalized few-shot transfer learning architecture for modeling the EDFA gain spectrum. - Agastya Raj; Zehao Wang; Tingjun Chen; Daniel C. Kilper; Marco Ruffini (CoRR, 2025)