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Andrew French

Associate Professor, Faculty of Science

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Biography

My research involves developing novel computer science approaches to solve imaging challenges, particularly in bioscience applications. This includes machine learning approaches as well as image analysis development.

Research interests include:

· Image analysis of plants and other complex structures

· Developing novel software tools to aid biologists and mathematical modellers

· Deep machine learning approaches

· Automating image capture approaches (e.g. with robotics)

Expertise Summary

Image analysis

Bioimage analysis

Deep machine learning

High-throughput plant phenotyping

Working with a variety of dataset modalities (colour, hyperspectral, 3D volumetric, x-ray. MRI, etc.)

Teaching Summary

I mainly teach Computer Vision and Schools Experience in Computer Science, and Computer Modelling in Science (Introduction and Applications) in Biosciences. I do supervise final year projects: if you… read more

Research Summary

My research involves developing novel computer science approaches to solve imaging challenges, particularly in bioscience applications. This includes machine learning approaches as well as image… read more

Selected Publications

I have offices on Sutton Bonington and Jubilee campuses.

On SB, you can find me in Plant Sciences, C08a. My office in Computer Science is B80. You are welcome to try dropping by, but it is best to email me first for an appointment.

I mainly teach Computer Vision and Schools Experience in Computer Science, and Computer Modelling in Science (Introduction and Applications) in Biosciences. I do supervise final year projects: if you are interested in image analysis, do email me with project ideas.

Current Research

My research involves developing novel computer science approaches to solve imaging challenges, particularly in bioscience applications. This includes machine learning approaches as well as image analysis development.

Research interests include:

· Image analysis of plants and other complex structures

· Developing novel software tools to aid biologists and mathematical modellers

· Deep machine learning approaches

· Automating image capture approaches (e.g. with robotics)

Past Research

Tracking algorithm development: how to track objects in video sequences.

Future Research

Developing deep learning approaches to image analysis.

Phenotyping - automating the characterization of plants using imaging, robotics and automation software to speed up the number of plants we can measure in an experiment.

Segmentation methods, including superpixel approaches.

Hyperspectral imaging

Generating 3D models

MRI segmentation and interpretation.

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

For all enquires please visit:
www.nottingham.ac.uk/enquire