Leading UK photonics company licenses PhD student’s deep learning technology

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.

Apoorva Srikkanth, Business Manager at UCLB states: 

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. 

Prof. Zervas - supervisor to Zacharaya and leading academic in the field of optical communications at UCL - states:  

From research to license 

During the collaborative research project with Polatis, Zacharaya developed a method for optimising control parameters based on deep reinforcement learning (DRL). The method allows for lengthy tuning processes to be avoided entirely, instead generating parameters directly from some simple measurements of the underlying control system.

Control parameters can then be generated in milliseconds without requiring any further operation of the device. This feature makes the method highly efficient in mass-manufacturing scenarios, since optimisation time is minimal and can be implemented in parallel with other production processes.

Polatis’ software-defined optical circuit switches create highly transparent connections between hundreds of fibres and are used across numerous domains worldwide from secure communications to data centre networks.

The commercialisation of this DRL technology will allow Polatis to eliminate control optimisation time in production, as well as to realise improved optical switching performance and increased manufacturing efficiency.

Nick Parsons, Vice President Technology, HUBER+SUHNER, states:

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.

The commercial outputs of Zacharaya’s work also highlight the real-world impact of the research occurring in EEE at UCL and the importance of partnership and co-creation between academia and industry.

The collaborative project was funded by an EPSRC CASE award. The award promotes the collaboration of industry and academia by providing a challenging research training experience, within the context of a mutually beneficial research collaboration with industry. UCL EEE prides itself on its strong portfolio of collaborations with industry.

The DRL method to optimise control parameters is applicable to other mass manufacturing industries and is available to license from UCLB.

Additional links

Zacharaya Shabka 
Professor Georgios Zervas
Engineering and Physical Sciences Research Council (EPSRC)
HUBER+SUHNER Polatis 
UCL Business (UCLB)
UCL Consultants (UCLC)
UCL Innovation & Enterprise - Knowledge exchanging funding for UCL staff
EPSRC TRANSNET Programme
OptoCloud: Ultra-fast optically interconnected heterogeneous Data Centers
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