Mr. Praveen Kumar Pal

Transformative Advances in Optical Networking Enabled by Machine Learning

Abstract:

Over the past decade, optical networking has undergone a profound transformation driven by rapid advancements in artificial intelligence (AI) and machine learning (ML). Traditional optical systems-once limited by static configurations and manual optimization-have evolved into intelligent, adaptive networks capable of self-configuration, self-healing, and predictive maintenance. This talk explores how AI/ML algorithms have revolutionized key areas of optical networking, including traffic prediction, fault detection, wavelength assignment, and performance optimization. The integration of deep learning models and reinforcement learning has enabled more efficient resource utilization and dynamic quality-of-service provisioning in large-scale optical transport systems. Moreover, the convergence of AI-driven network orchestration and software-defined networking (SDN) has paved the way for autonomous optical infrastructures, supporting the growing demands of cloud computing, 5G, and beyond. By reviewing major research milestones, real-world deployments, and emerging trends, this session highlights how the synergy between AI/ML and optical networking is shaping the future of high-capacity, resilient, and intelligent communication networks.

Profile:

Mr. Praveen Kumar Pal is a distinguished industry expert at Nokia of America Corp., with over 20+ years of experience in embedded systems, optical communications, and AI/ML-based network optimization. His expertise spans DWDM systems, transponders, Raman and EDFA amplifiers, and advanced coherent pluggables up to 1600 G per wavelength. He has contributed extensively to next-generation optical technologies and the integration of machine learning for intelligent network automation and traffic prediction. Mr. Pal’s research cover AI/ML, Generative AI, network protocols (GMPLS, BGP, OSPF), and high-speed optical standards including IEEE 802.3 400 GbE/800 GbE and ZR/ZR+ (ITU-T). His interests also extend to wireless systems, IoT, and embedded real-time applications. He is keen on exploring and supporting high-quality research that advances optical, wireless, and AI-driven networking innovations for the next decade of intelligent communications.