Funding and fellowship success in 2020

Modelling of ultra-wide band transmission

Funder: Leverhulme Trust Early Career Fellowship
Recipient: Dr Anastasiia Vasylchenkova
Summary: Anastasiia will advance models of fibre propagation over very large bandwidths, and apply the results to the development of next generation of optical communication systems.
More info: Leverhulme Trust Early Career Fellowship awarded to Dr Anastasiia Vasylchenkova

OptoCloud: Ultra-fast optically interconnected heterogeneous Data Centres

Funder: EPSRC Fellowship
Recipient: Dr Georgios Zervas
Summary: This project will design heterogeneous, disaggregated and sustainable Data Center and HPC systems, enabled by energy efficient, scalable, single hop, and nanosecond speed optical circuit switched network technologies.
More info: Optical Networks Group researcher awarded £1.1 million to design data centres of the future

Massive spatial parallelism in optical fibres for expanding Internet capacity

Funder: UKRI Future Leaders Fellow
Recipient: Dr Filipe Ferreira (UCL)
Summary: Filipe will put together a multidisciplinary team to develop a new photonic processor that merges photonic integrated circuits and machine learning so that large-scale spatial parallelism can be achieved within every optical fibre.
More info: UKRI Future Leaders Fellowship awarded to Filipe M. Ferreira

Advanced Signal Generation and Detection System for Next-generation Ultra-wideband Communication Networks

Funder: EPSRC Strategic Equipment 
Recipient: Professor Polina Bayvel
Summary: This project will create an advanced, world leading signal generation and detection test-bed for advanced communications systems research.

Space division multiplexed optical networks: When, where and how

Funder: EPSRC & BT
Recipient: Dr Georgios Zervas
Summary: This project will use space division multiplexing (SDM) technologies in metropolitan and core networks in order to solve the internet capacity crunch.

Optics for Distributed Learning

Funder: Microsoft
Recipient: Dr Georgios Zervas
Summary: This project will develop large scale distributed learning computing systems, using new topologies, partitioning and scheduling strategies over optical networks.