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Personal profile

Personal Statement

Researcher and PhD Student with the Neuromorphic Technology Lab within the Centre for Signal and Image Processing.

Our lab aims to help develop the fields of Deep Learning and Neuromorphic Engineering with novel algorithms implementations and applications. We cover all types of Deep Learning from supervised learning for object detection, Unsepervised and Self Learning, Reinforcement Learning as well as the new applications Neuromorphic Technology brings with it's Spiking Neural Networks.



Education/Academic qualification

Bachelor of Engineering


  • Neural Networks
  • Neuromorphic
  • Deep Learning
  • Convolutional Neural Networks
  • Machine Learning
  • Artificial Intelligence

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2018 2018

Open Access
Space debris
Radar systems
Open Access
Neural networks
Embedded systems
Computer vision
Field programmable gate arrays (FPGA)