Personal profile

Research interests

The ever-increasing amount of dynamic traffic with variations in both volume and service time will develop quickly in the foreseeable future, to a level that network link reconfigurations are required to support the bursting or abrupt change of network traffic. Optical networks need to be evolved to provide and manage network bandwidth automatically in an on-demand approach. In this project, machine-Learning (ML) technologies will be explored in dynamic optical networks to optimise network function and link bandwidths of optical networks and allocate network resources efficiently. ML-based network analytics and predictions will replace the timeconsuming method of manual link set up. A new mechanism of automatic resource provision and autonomous network management need to be developed to replace the set-and-forget operation model used in current optical networks.

Education/Academic qualification

Optical Communications and Signal Processing

23 Sept 201924 Sept 2020

Award Date: 1 Dec 2020

B.S Electronic Science and Technology, University of Science and Technology of China

1 Sept 201530 Jun 2019

Award Date: 30 Jun 2019

Interaction Design, National University of Singapore

12 Jul 201610 Aug 2016

Award Date: 10 Aug 2016

Structured keywords and research groupings

  • Smart Internet Lab


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Collaborations and top research areas from the last five years

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