Agastya Raj

According to our database, Agastya Raj authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Spectrum Configuration Framework for Throughput Maximization in Open Systems with Roll-Off-Based QoT Optimization.

Peyman Pahlevanzadeh, Venkata Virajit Garbhapu, Agastya Raj, Dmitrii Briantcev, Daniel C. Kilper, Marco Ruffini

CoRR, April, 2026

OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model.

Agastya Raj, Venkata Virajit Garbhapu, Hiroyuki Ishihara, Peyman Pahlevanzadeh, Hideki Nishizawa, Takeo Sasai, Daniel C. Kilper, Marco Ruffini

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2026

Scaling Optical Testbed Data Space for Data Sharing Across Vendor and Organizational Boundaries.

Angela Mitrovska, Yusuke Hirota, Vignesh Karunakaran, Agastya Raj, Sugang Xu, T. Suzuki, Aydin Jafari, Nikhil Dsilva, Behnam Shariati, Yuki Yoshida, Achim Autenrieth, Marco Ruffini, Pooyan Safari, Johannes K. Fischer, Ronald Freund, Yoshinari Awaji, Thomas Bauschert

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2026

Radio-Optical Confluence in Intelligent Edge Networks.

Akshita Gupta, Devika Dass, Agastya Raj, Carlos Natalino, Marco Ruffini, Paolo Monti, Daniel C. Kilper

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2026

Digital Twin-Driven Disaggregated Optical Network Reconfiguration and Optimization with Automated Conflict Resolution.

Dmitrii Briantcev, Deborsi Basu, Shuang Xie, Agastya Raj, Peyman Pahlevanzadeh, Harry Leddy, Johannes Halbach, Venkata Virajit Garbhapu, Daniel C. Kilper, Marco Ruffini, Merim Dzaferagic

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2026

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