Projects per year
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.
Doctor of Philosophy, University Of Strathclyde
1 Aug 2017 → 11 May 2021
Award Date: 11 May 2021
Master of Engineering, University Of Strathclyde
Award Date: 18 Jun 2017
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Artificial Intelligence
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Robertson, J., Kirkland, P., Alanis, J. A., Hejda, M., Bueno, J., Di Caterina, G. & Hurtado, A., 22 Mar 2022, In: Scientific Reports. 12, 10 p., 4874.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile3 Downloads (Pure)
Kirkland, P., Kapitany, V., Lyons, A., Soraghan, J., Turpin, A., Faccio, D. & Di Caterina, G., 20 Sep 2020, Emerging Imaging and Sensing Technologies for Security and Defence V; and Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence III. Buller, G. S., Hollins, R. C., Lamb, R. A., Laurenzis, M., Camposeo, A., Farsari, M., Persano, L. & Busse, L. E. (eds.). Bellingham, Washington, Vol. 11540. 20 p. 115400J
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution bookOpen AccessFile44 Downloads (Pure)
Kirkland, P., 10 May 2021
Student thesis: Doctoral Thesis