Leading UK photonics company licenses PhD student deep learning technology
30 November 2022
Research by UCL Electronic and Electrical Engineering student with world-renowned industry partner finds real-world application.
EEE’s Optical Networks Group (ONG) student, Zacharaya Shabka, has developed a deep reinforcement learning (DRL) for fast and effective control parameter optimization under the supervision of Professor Georgios Zervas.
UCL Business (UCLB), the commercialization company for University College London (UCL), has entered into a commercial licensing agreement with Polatis for the use of the DRL technology, developed directly as a result of Zacharaya’s PhD project.
UCLB has also filed a patent application for the method developed by Zacharaya to generate optimized control parameters in a production scalable manner.
Working with UCLB, the academic team of Zacharaya and Prof. Zervas have successfully filed to patent the technology from the project and have licensed it alongside code written by Zacharaya.
Zacharaya is currently consulting through UCL Consultants (UCLC) with Polatis to support the implementation of this method. The coordination between UCL Business and UCL Consultants has ensured that the IP will be put to good use and find tangible real-world benefit in a global manufacturing system.
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Zacharaya Shabka
Professor Georgios Zervas
Engineering and Physical Sciences Research Council
HUBER+SUHNER Polatis
UCL Business
UCL Consultants
UCL Innovation & Enterprise - Knowledge exchanging funding for UCL staff
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