Philip Ji is a Senior Researcher in the Optical Networking and Sensing Department at NEC Laboratories America, where he has been researching optical switching, networking, and sensing technologies since 2001. He received his B.E., M.E., and Ph.D. in Electrical Engineering & Telecommunications from the University of New South Wales (UNSW), where he focused on special polymer optical fiber and fiber optic device innovation.
His research interests include fiber optic sensing, WDM switching node and network architecture, fiber optic devices for communication, high-speed and high-capacity optical transmission, optical interconnects for the data center, and special optical fiber. Dr. Ji’s current research at NEC centers on the design and optimization of distributed fiber optic sensors and high-capacity optical networking technologies, with a focus on metro-access integration, network virtualization, and software-defined networking (SDN). He develops scalable, energy-efficient architectures that enable greater agility and automation in optical networks.
His work addresses key challenges in elastic bandwidth allocation, resource abstraction, and control-plane programmability, supporting the transition toward fully programmable, converged metro and access infrastructures. He leads initiatives that advance virtualization of transport resources and dynamic service provisioning, helping telecom and enterprise networks respond to rapidly shifting traffic patterns and service demands. His research contributes to the evolution of next-generation optical networks that are flexible, cost-effective, and ready for future application-driven architectures.
Posts
We propose a novel multi-parameter sensing technique based on a Brillouin optical time domain reflectometry in the elliptical-core few-mode fiber, using higher-order optical and acoustic modes. Multiple Brillouin peaks are observed for the backscattering of both the LP01 mode and LP11 mode. We characterize the temperature and strain coefficients for various opticalacoustic mode pairs. By selecting the proper combination of modes pairs, the performance of multi-parameter sensing can be optimized. Distributed sensing of temperature and strain is demonstrated over a 0.5-km elliptical-core few-mode fiber, with the discriminative uncertainty of 0.28°C and 5.81 ?? for temperature and strain, respectively.
We propose a single-ended Brillouin-based sensor in elliptical-core few-mode optical fiber for multi-parameter measurement using spontaneous Brillouin scattering. Distributed sensing of temperature and strain is demonstrated over 0.5 km elliptical-core few-mode fiber.
An ensemble learning algorithm is applied to enhance filtering tolerance of cascaded WSSs in open ROADM environment to demonstrate ~0.8dB Q-factor improvement over MLSE after transmitting over 3200km with 16 ROADMs.
