Research Output per year
Personal profile
Personal Statement
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.
Education/Academic qualification
Master of Engineering, University Of Strathclyde
Keywords
- Neural Networks
- Neuromorphic
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Artificial Intelligence
Fingerprint Dive into the research topics where Paul Kirkland is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 13 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
SpikeSEG: Spiking segmentation via STDP saliency mapping
Kirkland, P., Di Caterina, G., Soraghan, J. & Matich, G., 19 Jul 2020. 8 p.Research output: Contribution to conference › Paper
Open Access
File
4
Downloads
(Pure)
CubeSat-based passive bistatic radar for space situational awareness: a feasibility study
Persico, A. R., Kirkland, P., Clemente, C., Soraghan, J. J. & Vasile, M., 28 Feb 2019, In : IEEE Transactions on Aerospace and Electronic Systems. 55, 1, p. 476-485 10 p., 8387455.Research output: Contribution to journal › Article
Open Access
File
3
Citations
(Scopus)
56
Downloads
(Pure)