Research Output per year
Researcher and PhD Student 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 it's Spiking Neural Networks.
Master of Engineering, University Of Strathclyde
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Artificial Intelligence
Research output: Contribution to journal › Article
UAV detection: a STDP trained deep convolutional spiking neural network retina-neuromorphic approachKirkland, P., Di Caterina, G., Soraghan, J., Andreopoulos, Y. & Matich, G., 18 Sep 2019, p. 724-736. 13 p.
Research output: Contribution to conference › Paper