Michael Pound

Michael P. Pound is a researcher at the University of Nottingham.[1] He is known for his work in the areas of bioimage analysis, computer vision, image recognition, computer security, and for his appearances on the video series Computerphile[2].

Michael Pound
Michael in 2018
Other namesMike Pound
OccupationLecturer, Researcher
Years activePresent
Academic work
DisciplineComputer Science
Sub-disciplineBioimage analysis, computer vision, image recognition, computer security
InstitutionsUniversity of Nottingham

Career

Pound's work centres on the use of machine learning, deep learning, and bioimage analysis for the purpose of plant phenotyping.[3][4] His work on the identification of root and leaf tips through image-based phenotyping has been recognized as important in the field of bioimage analysis.[5]

The image analysis tool RootNav was developed by a research team led by Pound. The tool uses image analysis to identify complex root system architectures.[6] It has been made available to the scientific community and has been used by other researchers in the field to facilitate batch processing of high numbers of images in various studies of plant phenotyping.[7]

Media appearances

Pound has made numerous appearances on Brady Haran's video series Computerphile. During these appearances, Pound has discussed aspects of his work including password cracking, brute forcing, kernel convolution and image analysis.[8][3]

gollark: Wow, thanks random chance!
gollark: Huh, I *did*, that was the one I guessed randomly.
gollark: I might have.
gollark: Interestingly, you can actually abuse recursive common table expressions to generate fractals.
gollark: SQLite is mostly untyped.

References
  1. "Michael Pound". University of Nottingham. Retrieved 2 September 2018.
  2. "Computerphile". YouTube.
  3. Keeper Security (2016-11-07). "Keeper Q&A: What You Can Learn From Michael Pound's Scary Password-Cracking Video". Keeper. Keeper Security, Inc. Retrieved 2 September 2018.
  4. Pound, Michael P.; Atkinson, Jonathan A.; Wells, Darren M.; Pridmore, Tony P.; French, Andrew P. (2017). "Deep Learning for Multi-task Plant Phenotyping" (PDF). 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). pp. 2055–2063. doi:10.1109/ICCVW.2017.241. ISBN 978-1-5386-1034-3.
  5. Atanbori, John; Chen, Feng; French, Andrew; Pridmore, Tony. "Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN" (PDF): 1. Retrieved 3 September 2018. Cite journal requires |journal= (help)
  6. Pound, Michael; French, Andrew; Atkinson, Jonathan; Wells, Darren; Malcolm, Bennet; Pridmore, Tony (1 January 2013). "RootNav: Navigating images of complex root architectures". Plant Physiology. 162: 1802–14. doi:10.1104/pp.113.221531. PMC 3729762. PMID 23766367.
  7. Granier, Christine; Vile, Denis (2014). "Phenotyping and beyond: modelling the relationships between traits". Current Opinion in Plant Biology: 96–102.
  8. Muller, Tiffany (2015-10-03). "Listen to an Expert Image Analyst Easily Explain the Science Behind Photo Filters". DIY Photography. Retrieved 2 September 2018.
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