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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
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
Paper Title Number 2
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
Paper Title Number 3
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
talks
National Rail Demonstration — Autonomous UAV Water Detection and Sampling
Published:
Invited demonstration for National Rail showcasing an autonomous UAV system for water-body detection, descent, sampling, and return-to-base behaviour.
Research Internship Satellite Applications Catapult: Remote Sensing and Deep Learning for Polluting Cement Plant Detection
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.
IGARSS 2022 — Oral Presentation: Deep Learning Robustness to Domain Shifts During Seasonal Variations
Published:
First author oral presentation at IGARSS 2022 on deep learning robustness to seasonal domain shifts in satellite imagery.
IGARSS 2023 — Oral Presentation: Water Physics Aware Semantic Segmentation
Published:
First author oral presentation at IGARSS 2023 on physics-aware, texture-biased U-Net architectures for water segmentation; chaired the session.
Bridging Classical and Modern Computer Vision: PerceptiveNet for Tree Crown Semantic Segmentation
Published:
Invited seminar at the Oxford Mathematical Institute on PerceptiveNet, Log-Gabor parameterised convolutions, and hybrid CNN–Transformer architectures for tree crown semantic segmentation.
Greeks in AI 2025 Symposium — Spotlight Presentation: PerceptiveNet for Tree Crown Semantic Segmentation
Published:
Single-author spotlight presentation at Greeks in AI 2025 on PerceptiveNet, a novel signal processing-parameterised convolutional backbone for complex scene semantic segmentation.
IGARSS 2025 — Oral Presentation: FusionNet for Multimodal Plant Detection with Landsat-8
Published:
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
Teaching Assistant Roles
Teaching Assistant, University of Sussex, 2020
Teaching Assistant roles across four modules in Computer Vision, Automation, and Electronic Systems.
Foundations of Spatial AI for Earth Observation
Curriculum for Interdisciplinary Domain Scientists, Open Access, 2024
Open-access curriculum bridging foundational data theory with deep learning deployment.