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{{notability|Academics|date=May 2019}}
{{Infobox academic
{{Infobox academic
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| birth_date = <!-- {11/05/1977} -->
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| region = Nottingham, United Kingdom
| nationality =
| nationality =
| citizenship =
| citizenship =
| residence =
| residence =
| other_names = Mike Pound
| other_names = Mike Pound
| occupation = Professor, Lecturer, Researcher
| occupation = Lecturer, Researcher, Media Personality
| period = Present
| period = Present
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'''Michael P. Pound''' is a professor and researcher at the [[University of Nottingham]].<ref>{{cite web |title=Michael Pound |url=https://www.nottingham.ac.uk/biosciences/people/michael.pound |website=University of Nottingham |accessdate=2 September 2018}}</ref> He is known for his work in the areas of [[Bioimage informatics|bioimage analysis]], [[computer vision]], [[Facial recognition system|image recognition]], and [[computer security]] and for his appearances on the video series ''Computerphile''.
'''Michael P. Pound''' is a researcher at the [[University of Nottingham]].<ref>{{cite web |title=Michael Pound |url=https://www.nottingham.ac.uk/research/beacons-of-excellence/future-food/meet-the-team/michael-pound/index.aspx |website=University of Nottingham |accessdate=31 May 2024}}</ref> He is known for his work in the areas of [[Bioimage informatics|bioimage analysis]], [[computer vision]], [[Facial recognition system|image recognition]], [[computer security]], and for his appearances on the video series ''Computerphile''.<ref>{{cite web |title=Computerphile |url=https://www.youtube.com/user/Computerphile |website=YouTube}}</ref>


==Academic Work==
==Career==
Pound's work centers on the use of [[machine learning]], [[deep learning]], and bioimage analysis for the purpose of plant [[Phenotype|phenotyping]].<ref name="pw_security" /><ref>{{cite journal |last1=Pound |first1=Michael |last2=Atkinson |first2=Jonathan |last3=Wells |first3=Darren |last4=Pridmore |first4=Tony |last5=French |first5=Andrew |title=Deep Learning for Multi-task Plant Phenotyping |journal=IEEE Xplore |date=October 2017 |url=http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w29/Pound_Deep_Learning_for_ICCV_2017_paper.pdf |accessdate=3 September 2018}}</ref> 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.<ref>{{cite journal |last1=Atanbori |first1=John |last2=Chen |first2=Feng |last3=French |first3=Andrew |last4=Pridmore |first4=Tony |title=Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. |pages=1 |url=https://www.plant-phenotyping.org/lw_resource/datapool/systemfiles/elements/files/42aa0773-949c-11e8-8a88-dead53a91d31/current/document/0023.pdf |accessdate=3 September 2018}}</ref>
Pound's work focuses on the use of [[machine learning]], [[deep learning]], and bioimage analysis for the purpose of plant [[Phenotype|phenotyping]].<ref name="pw_security" /><ref>{{Cite book |doi = 10.1109/ICCVW.2017.241|chapter = Deep Learning for Multi-task Plant Phenotyping|title = 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)|pages = 2055–2063|year = 2017|last1 = Pound|first1 = Michael P.|last2 = Atkinson|first2 = Jonathan A.|last3 = Wells|first3 = Darren M.|last4 = Pridmore|first4 = Tony P.|last5 = French|first5 = Andrew P.|isbn = 978-1-5386-1034-3|s2cid = 4734648|url = http://openaccess.thecvf.com/content_ICCV_2017_workshops/w29/html/Pound_Deep_Learning_for_ICCV_2017_paper.html|chapter-url = http://eprints.nottingham.ac.uk/47610/1/Pound_Deep_Learning_for_ICCV_2017_paper.pdf}}</ref> 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.<ref>{{cite journal |last1=Atanbori |first1=John |last2=Chen |first2=Feng |last3=French |first3=Andrew |last4=Pridmore |first4=Tony |title=Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. |pages=1 |url=https://www.plant-phenotyping.org/lw_resource/datapool/systemfiles/elements/files/42aa0773-949c-11e8-8a88-dead53a91d31/current/document/0023.pdf |accessdate=3 September 2018}}</ref>


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.<ref name="RootNav_Primary">{{cite journal |last1=Pound |first1=Michael |last2=French |first2=Andrew |last3=Atkinson |first3=Jonathan |last4=Wells |first4=Darren |last5=Malcolm |first5=Bennet |last6=Pridmore |first6=Tony |title=RootNav: Navigating images of complex root architectures |journal=Plant Physiology |date=1 January 2013 |pages=113.221531 }}</ref> 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.<ref name="phenotyping_and_beyond">{{cite journal |last1=Granier |first1=Christine |last2=Vile |first2=Denis |title=Phenotyping and beyond: modelling the relationships between traits |journal=Current Opinion in Plant Biology |date=2014 |pages=96–102 |url=https://s3.amazonaws.com/academia.edu.documents/45201387/Phenotyping_and_beyond_modelling_the_rel20160429-6415-dqjsj0.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1536001420&Signature=qkgxBFbBLaUsSt2huK0VsHKqR0c%3D&response-content-disposition=inline%3B%20filename%3DPhenotyping_and_beyond_modelling_the_rel.pdf |accessdate=3 September 2018}}{{dead link|date=March 2019}}</ref>
The image analysis tool RootNav<ref>{{Citation|last=Yasrab|first=Robail|title=robail-yasrab/RootNav-2.0|date=2020-09-22|url=https://github.com/robail-yasrab/RootNav-2.0|access-date=2020-10-26}}</ref> was developed by a research team led by Pound. The tool uses image analysis to identify complex root system architectures.<ref name="RootNav_Primary">{{cite journal |last1=Pound |first1=Michael |last2=French |first2=Andrew |last3=Atkinson |first3=Jonathan |last4=Wells |first4=Darren |last5=Malcolm |first5=Bennet |last6=Pridmore |first6=Tony |title=RootNav: Navigating images of complex root architectures |journal=Plant Physiology |date=1 January 2013 |pages=1802–14|pmid=23766367 |doi=10.1104/pp.113.221531 |volume=162 |issue=4 |pmc=3729762 }}</ref> 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.<ref name="phenotyping_and_beyond">{{cite journal |last1=Granier |first1=Christine |last2=Vile |first2=Denis |title=Phenotyping and beyond: modelling the relationships between traits |journal=Current Opinion in Plant Biology |date=2014 |volume=18 |pages=96–102 |doi=10.1016/j.pbi.2014.02.009 |pmid=24637194 |bibcode=2014COPB...18...96G }}{{dead link|date=March 2019}}</ref>


==Media appearances==
==Media appearances==
Pound has made numerous appearances on [[Brady Haran]]'s video series ''Computerphile''. During these appearances, Pound has discussed numerous aspects of his work including [[password cracking]], [[brute-force attack|brute forcing]], [[Kernel (image processing)#Convolution|kernel convolution]] and [[image analysis]].<ref name="photo_filters">{{cite web |last1=Muller |first1=Tiffany |title=Listen to an Expert Image Analyst Easily Explain the Science Behind Photo Filters |url=https://www.diyphotography.net/listen-to-an-expert-image-analyst-easily-explain-the-science-behind-photo-filters/ |website=DIY Photography |accessdate=2 September 2018}}</ref><ref name="pw_security">{{cite web |last1=Keeper Security |title=Keeper Q&A: What You Can Learn From Michael Pound's Scary Password-Cracking Video |url=https://keepersecurity.com/blog/2016/11/07/keeper-qa-what-you-can-learn-from-michael-pounds-scary-password-cracking-video/ |website=Keeper |publisher=Keeper Security, Inc |accessdate=2 September 2018}}</ref>
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-force attack|brute forcing]], [[Kernel (image processing)#Convolution|kernel convolution]] and [[image analysis]].<ref name="photo_filters">{{cite web |last1=Muller |first1=Tiffany |title=Listen to an Expert Image Analyst Easily Explain the Science Behind Photo Filters |url=https://www.diyphotography.net/listen-to-an-expert-image-analyst-easily-explain-the-science-behind-photo-filters/ |website=DIY Photography |accessdate=2 September 2018|date=2015-10-03 }}</ref><ref name="pw_security">{{cite web |last1=Keeper Security |title=Keeper Q&A: What You Can Learn From Michael Pound's Scary Password-Cracking Video |url=https://keepersecurity.com/blog/2016/11/07/keeper-qa-what-you-can-learn-from-michael-pounds-scary-password-cracking-video/ |website=Keeper |publisher=Keeper Security, Inc |accessdate=2 September 2018|date=2016-11-07 }}</ref>


==References==
==References==
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[[Category:Year of birth missing (living people)]]

Latest revision as of 13:39, 19 June 2024

Michael Pound
Michael in 2018
Other namesMike Pound
Occupation(s)Lecturer, Researcher, Media Personality
Years activePresent
Academic work
DisciplineComputer Science
Sub-disciplineBioimage analysis, computer vision, image recognition, computer security
InstitutionsUniversity of Nottingham

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]

Career

[edit]

Pound's work focuses 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[6] was developed by a research team led by Pound. The tool uses image analysis to identify complex root system architectures.[7] 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.[8]

Media appearances

[edit]

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.[9][3]

References

[edit]
  1. ^ "Michael Pound". University of Nottingham. Retrieved 31 May 2024.
  2. ^ "Computerphile". YouTube.
  3. ^ a b 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. S2CID 4734648.
  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}}: Cite journal requires |journal= (help)
  6. ^ Yasrab, Robail (2020-09-22), robail-yasrab/RootNav-2.0, retrieved 2020-10-26
  7. ^ 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 (4): 1802–14. doi:10.1104/pp.113.221531. PMC 3729762. PMID 23766367.
  8. ^ Granier, Christine; Vile, Denis (2014). "Phenotyping and beyond: modelling the relationships between traits". Current Opinion in Plant Biology. 18: 96–102. Bibcode:2014COPB...18...96G. doi:10.1016/j.pbi.2014.02.009. PMID 24637194.[dead link‍]
  9. ^ Muller, Tiffany (2015-10-03). "Listen to an Expert Image Analyst Easily Explain the Science Behind Photo Filters". DIY Photography. Retrieved 2 September 2018.
[edit]
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