Company Filing History:
Years Active: 2021
Title: Innovations by Phillip Doelling in Network Connectivity
Introduction
Phillip Doelling is an innovative inventor based in Lucas, Texas, known for his contributions to network technology. He currently works for Ciena Corporation, a leading company in the networking sector, where he applied his expertise in shaping the future of connectivity through his groundbreaking patent related to machine learning.
Latest Patents
Phillip Doelling holds a patent titled "Discovery of port-to-port connectivity across network layers using machine learning." This invention focuses on systems and methods for discovering the connectivity topology of cross-layer links within multi-layer networks. The method involves obtaining input data related to various Network Elements (NEs) that operate across multiple layers and utilizing machine learning processes to identify cross-layer port-to-port connectivity links between these elements. This innovation holds significant potential for enhancing network efficiency and interoperability.
Career Highlights
Throughout his career, Phillip has made substantial strides in the field of network technology. His work at Ciena Corporation has positioned him as a key player in the development of advanced networking solutions. With a focus on machine learning and multi-layer network architecture, Phillip's contributions are at the forefront of modern telecommunications.
Collaborations
At Ciena Corporation, Phillip collaborates with talented colleagues, including David Côté and Minming Ni. Together, they work on enhancing networking capabilities and pushing the boundaries of what is possible in the domain of connectivity.
Conclusion
Phillip Doelling's innovative work in uncovering cross-layer connectivity in networks through machine learning exemplifies the dynamic nature of modern inventions. His ongoing efforts, paired with collaboration among esteemed colleagues, position him as a significant contributor to advancements in the networking industry. As technology continues to evolve, Phillip's contributions will remain crucial in creating more interconnected and efficient systems.