Sorin Tibuleac

Sorin Tibuleac

Director, System Architecture @ Adtran

About Sorin Tibuleac

Sorin Tibuleac is a Director of System Architecture known for his contributions to optical communications, including significant publications in 2022 and participation in a telco journal roundtable at OFC 2024.

Sorin Tibuleac - Director of System Architecture

Sorin Tibuleac holds the position of Director of System Architecture. In this role, Tibuleac oversees the strategic planning and implementation of complex system architectures. His responsibilities include guiding technical teams, ensuring system integrity, and developing innovative solutions to optimize infrastructure performance.

Sorin Tibuleac at OFC 2024

In 2024, Sorin Tibuleac participated in a telco journal roundtable at the Optical Fiber Communication Conference (OFC). OFC is a major event in the field of optical communications, gathering experts and professionals from around the world. Tibuleac's involvement highlights his active engagement with industry peers and his contributions to discussions on the latest advancements and challenges in telecommunications.

JOCN Paper on Quasi-Continuous Symbol Rate Tunability

Sorin Tibuleac co-authored a paper titled 'Benefits of Quasi-Continuous Symbol Rate Tunability in Links Constrained by ROADM Filtering,' published in the Journal of Optical Communications and Networking (JOCN) in June 2022. This publication explores the advantages of flexible symbol rate tunability in optical links that are limited by Reconfigurable Optical Add-Drop Multiplexer (ROADM) filtering, offering insights into enhancing link performance.

Optics Express Paper on OSNR Identification Using Machine Learning

In January 2022, Sorin Tibuleac co-authored a paper in Optics Express titled 'Constellation-based identification of linear and nonlinear OSNR using machine learning: a study of link-agnostic performance.' The study investigates the use of machine learning techniques to identify Optical Signal-to-Noise Ratio (OSNR) in both linear and nonlinear regimes. This research contributes to understanding and improving link performance without dependence on specific link characteristics.

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