Seminar Title: Seminar on “Digital Twin Modelling of Optical Communication Systems”
Abstract:
Fulfilling the anticipated demands of future network technologies entails a plethora of challenges. Traditional approaches to tackle these challenges struggle with scalability in disaggregated systems, leading to a shift towards data-driven methods, especially machine learning. Digital twins offer a cost-effective way to optimize network management and support decision-making. However, accurately predicting physical phenomena like stimulated Raman scattering (SRS) remains a challenge, as conventional physics-based models may fail due to variations in transmission spans. We develop a deep neural network (DNN) model to predict the SRS-induced Raman tilt in optical fibers. The DNN is trained with data obtained from experiments on the COSMOS testbed located in the US, and its performance is benchmarked against established analytical models.
Speaker bio: Rishu Raj is presently a Postdoctoral Research Fellow at the CONNECT research center in Trinity College Dublin, Ireland. He has been awarded the Marie Skłodowska-Curie Actions Postdoctoral Fellowship (MSCA-PF) funded by Horizon Europe, the European Union’s flagship funding program. He completed his Ph.D. in the Department of Electrical Engineering at the Indian Institute of Technology Delhi, India, in 2022. For his Ph.D. thesis, he received the Innovative Student Project Award given by the Indian National Academy of Engineering (INAE). He obtained the B.Tech. degree in electrical engineering from the National Institute of Technology Agartala, Tripura, India in 2014, where he was awarded the Institute Gold Medal for academic excellence. He is a member of the INAE, IEEE and Optica (formerly OSA). His research interests include visible light communication, optical communication networks and systems, and non-linear optics.*
By Alumnus Dr. Rishu Raj