Agastya Raj

According to our database, Agastya Raj authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 2025

Interference Detection in Spectrum-Blind Multi-User Optical Spectrum as a Service.

Agastya Raj, Daniel C. Kilper, Marco Ruffini

CoRR, May, 2025

Transfer Learning for EDFA Gain Modeling: A Semi-Supervised Approach Using Internal Amplifier Features.

Agastya Raj, Dan Kilper, Marco Ruffini

CoRR, March, 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, March, 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, March, 2025

Scalable Machine Learning Models for Optical Transmission System Management.

Zehao Wang, Agastya Raj, Giacomo Borraccini, Shaobo Han, Yue-Kai Huang, Ting Wang, Marco Ruffini, Dan Kilper, Tingjun Chen

Proceedings of the Optical Fiber Communications Conference and Exhibition, 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

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

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

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

2024

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, Fei-Yun Wu, Kunde Yang

IEEE Trans. Wirel. Commun., November, 2024

2023

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

2019

A Novel Information Theoretic Cost Measure for Filtering Based Feature Selection from Hyperspectral Images.

Vikas Kookna, Ankit Kumar Singh, Agastya Raj, Biplab Banerjee

Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019