Projects per year
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 2017 → 11 May 2021
Award Date: 11 May 2021
Master of Engineering, Electrical and Mechanical Engineering, University Of Strathclyde
Award Date: 18 Jun 2017
Keywords
- Neural Networks
- Neuromorphic
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Artificial Intelligence
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Network
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CAInnt:Deep learning applications to narrative analysis and communication partner conversation analysis in people with aphasia
Egan, A., Kirkland, P. & Molino, M.
25/08/22 → 24/08/23
Project: Internally funded project
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Intelligent Real-Time Weld Monitoring Using an Event Camera and Brain Inspired AI
18/07/22 → 12/09/22
Project: Internally funded project
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Frameworks for SNN: a review of data science-oriented software and an expansion of SpykeTorch
Manna, D. L., Vicente-Sola, A., Kirkland, P., Bihl, T. J. & Di Caterina, G., 28 Mar 2023, (Accepted/In press). 12 p.Research output: Contribution to conference › Paper › peer-review
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Unsupervised spiking instance segmentation on event data using STDP features
Kirkland, P., Manna, D., Vicente Sola, A. & Di Caterina, G., 1 Nov 2022, In: IEEE Transactions on Computers. 71, 11, p. 2728-2739 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Downloads (Pure)
Datasets
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Data for: "Ultrafast Neuromorphic Photonic Image Processing with a VCSEL Neuron"
Robertson, J. (Creator), Kirkland, P. (Contributor) & Alanis, J. (Contributor), University of Strathclyde, 26 Jan 2022
DOI: 10.15129/cfc1e947-9afe-40fd-bb4b-c7e271a77941
Dataset
Thesis
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Less is more : the neuromorphic engineering advantage
Author: Kirkland, P., 10 May 2021Supervisor: Soraghan, J. (Supervisor), Weiss, S. (Supervisor) & Di Caterina, G. (Supervisor)
Student thesis: Doctoral Thesis