Portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 2 
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published:
Invited demonstration for National Rail showcasing an autonomous UAV system for water-body detection, descent, sampling, and return-to-base behaviour.
Published:
Invited presentation at DISCnet on my research internship at Satellite Applications Catapult: Deep learning and remote sensing methods for detecting polluting cement plants using Landsat-8 data.
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First author oral presentation at IGARSS 2022 on deep learning robustness to seasonal domain shifts in satellite imagery.
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First author oral presentation at IGARSS 2023 on physics-aware, texture-biased U-Net architectures for water segmentation; chaired the session.
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Invited seminar at the Oxford Mathematical Institute on PerceptiveNet, Log-Gabor parameterised convolutions, and hybrid CNN–Transformer architectures for tree crown semantic segmentation.
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Single-author spotlight presentation at Greeks in AI 2025 on PerceptiveNet, a novel signal processing-parameterised convolutional backbone for complex scene semantic segmentation.
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First author oral presentation at IGARSS 2025 on FusionNet, a physics-informed multi-temporal and multi-spectral deep learning approach for cement plant detection using Landsat-8.
Teaching Assistant, University of Sussex, 2020
Teaching Assistant roles across four modules in Computer Vision, Automation, and Electronic Systems.
Curriculum for Interdisciplinary Domain Scientists, Open Access, 2024
Open-access curriculum bridging foundational data theory with deep learning deployment.