Michael Pound

{{Short description|Lecturer and researcher in computer science}}

{{Infobox academic

| honorific_prefix =

| name = Michael Pound

| honorific_suffix =

| image = Michael-Pound.jpg

| image_size =

| alt =

| caption = Michael in 2018

| native_name =

| native_name_lang =

| birth_name =

| birth_date =

| birth_place =

| death_date =

| death_place =

| death_cause =

| nationality =

| citizenship =

| residence =

| other_names = Mike Pound

| occupation = Lecturer, Researcher, Media Personality

| period = Present

| known_for =

| title =

| boards =

| spouse =

| children =

| parents =

| relatives =

| awards =

| website =

| education =

| alma_mater =

| thesis_title =

| thesis_url =

| thesis_year =

| school_tradition =

| doctoral_advisor =

| influences =

| era =

| discipline = Computer Science

| sub_discipline = Bioimage analysis, computer vision, image recognition, computer security

| workplaces = University of Nottingham

| doctoral_students =

| notable_students =

| main_interests =

| notable_works =

| notable_ideas =

| influenced =

| signature =

| signature_alt =

| signature_size =

| footnotes =

}}

Michael P. Pound is a researcher at the University of Nottingham.{{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}} 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.{{cite web |title=Computerphile |url=https://www.youtube.com/user/Computerphile |website=YouTube}}

Career

Pound's work focuses on the use of machine learning, deep learning, and bioimage analysis for the purpose of plant phenotyping.{{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}} 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.{{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}}

The image analysis tool RootNav{{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}} was developed by a research team led by Pound. The tool uses image analysis to identify complex root system architectures.{{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 }} 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.{{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}}

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.{{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 }}{{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 }}

References

{{Reflist}}