Doctoral Researcher in Agricultural Engineering
Imaging, computer vision, and intelligent sensing for agricultural systems.
Research profile
Applied sensing and AI for measurable plant traits
My work connects imaging hardware, experimental design, computer vision, and automation. The goal is not simply to build models, but to create reliable measurement workflows that researchers can use and reproduce.
Current work
Research themes and active development areas
These themes reflect my current technical direction across UAV sensing, 3D and spectral imaging, computer vision, phenotyping platforms, robotics, and Agri-PV systems.
Professional credentials
Licences and certifications
Scientific contributions
Posters, conference work, and publications
The portfolio prioritises recent imaging and phenotyping research while preserving earlier peer-reviewed work in computer vision, biomedical engineering, robotics, antennas, and energy systems.
Selected posters
Poster files can be viewed directly or downloaded as PDFs.
Recent conference contributions
View earlier peer-reviewed publications
Selected software
Supporting engineering and data applications
Earlier open-source projects demonstrate practical experience with data interfaces, visual analytics, and image-processing prototypes.
Background
Engineering education with an interdisciplinary research path
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