Personal profile

Personal Statement

Researcher with the Neuromorphic Sensor Signal Processing 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, Unsupervised and Self Learning, Reinforcement Learning as well as the new applications Neuromorphic Technology brings with its Spiking Neural Networks.



Education/Academic qualification

Doctor of Philosophy, Less is More: The Neuromorphic Advantage, University Of Strathclyde

1 Aug 201711 May 2021

Award Date: 11 May 2021

Master of Engineering, Electrical and Mechanical Engineering, University Of Strathclyde

Award Date: 18 Jun 2017


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


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