Michael Pound

Contact

• workRoom B84 Computer Science
  Jubilee Campus
  Wollaton Road
  Nottingham
  NG8 1BB
  UK
• workn/a
• Michael.Pound@nottingham.ac.uk
• https://www.nottingham.ac.uk/computerscience/People/michael.pound

Teaching Summary

I convene the third year Computer Security module within the School of Computer Science. Previously I have taught the database modules G51DBS and G64DBS.

Research Summary

My research is in Computer Vision, particularly the application and adaptation of modern machine learning techniques to real-world problems. Much of my research is focused on bioimage analysis,… read more

Recent Publications

• ATKINSON, JONATHAN A, POUND, MICHAEL P, BENNETT, MALCOLM J and WELLS, DARREN M, 2019. Uncovering the hidden half of plants using new advances in root phenotyping Current opinion in biotechnology. 55, 1-8
• WU, RUI, DUAN, LINA, PRUNEDA-PAZ, JOSE, OH, DONG-HA, POUND, MICHAEL P, KAY, STEVE A and DINNENY, JOSE R, 2018. The 6xABRE synthetic promoter enables the spatiotemporal analysis of ABA-mediated transcriptional regulation Plant physiology. pp-00401
• GIBBS, JONATHON ASHLEY, POUND, MICHAEL P, FRENCH, ANDREW P, WELLS, DARREN M, MURCHIE, ERIK H and PRIDMORE, TONY P, 2018. Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction Plant physiology. pp-00664
• BURGESS, ALEXANDRA J., RETKUTE, RENATA, POUND, MICHAEL P., MAYES, SEAN and MURCHIE, ERIK H., 2017. Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems Annals of Botany. mcw242

• View all publications

I regularly appear on the University's popular YouTube channel Computerphile, in which I cover topics ranging from computer security through to image analysis and machine learning.

Current Research

My research is in Computer Vision, particularly the application and adaptation of modern machine learning techniques to real-world problems. Much of my research is focused on bioimage analysis, particularly plant phenotyping. My research aligns with Nottingham's Future Food Beacon of Excellence.

Past Research

Previously I have been involved in projects on human and object tracking, and group / event detection in video sequences.

• ATKINSON, JONATHAN A, POUND, MICHAEL P, BENNETT, MALCOLM J and WELLS, DARREN M, 2019. Uncovering the hidden half of plants using new advances in root phenotyping Current opinion in biotechnology. 55, 1-8
• WU, RUI, DUAN, LINA, PRUNEDA-PAZ, JOSE, OH, DONG-HA, POUND, MICHAEL P, KAY, STEVE A and DINNENY, JOSE R, 2018. The 6xABRE synthetic promoter enables the spatiotemporal analysis of ABA-mediated transcriptional regulation Plant physiology. pp-00401
• GIBBS, JONATHON ASHLEY, POUND, MICHAEL P, FRENCH, ANDREW P, WELLS, DARREN M, MURCHIE, ERIK H and PRIDMORE, TONY P, 2018. Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction Plant physiology. pp-00664
• BURGESS, ALEXANDRA J., RETKUTE, RENATA, POUND, MICHAEL P., MAYES, SEAN and MURCHIE, ERIK H., 2017. Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems Annals of Botany. mcw242
• GIBBS, JONATHON A., POUND, MICHAEL, FRENCH, ANDREW P., WELLS, DARREN M., MURCHIE, ERIK and PRIDMORE, TONY, 2017. Approaches to three-dimensional reconstruction of plant shoot topology and geometry FUNCTIONAL PLANT BIOLOGY. 44(1), 62-75
• POUND, MICHAEL P., FOZARD, SUSAN, TORRES, MERCEDES TORRES, FORDE, BRIAN G. and FRENCH, ANDREW P., 2017. AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping PLANT METHODS. 13(12),
• BURRELL T, FOZARD S, HOLROYD GH, FRENCH AP, POUND MP, BIGLEY CJ, JAMES TAYLOR C and FORDE BG, 2017. The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology. Plant methods. 13, 10
• POUND, MICHAEL P., ATKINSON, JONATHAN A., WELLS, DARREN M., PRIDMORE, TONY P. and FRENCH, ANDREW P., 2017. Deep Learning for Multi-task Plant Phenotyping 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017). 2055-2063
• POUND, MICHAEL P, ATKINSON, JONATHAN A, TOWNSEND, ALEXANDRA J, WILSON, MICHAEL H, GRIFFITHS, MARCUS, JACKSON, AARON S, BULAT, ADRIAN, TZIMIROPOULOS, GEORGIOS, WELLS, DARREN M, MURCHIE, ERIK H and OTHERS, 2017. Deep machine learning provides state-of-the-art performance in image-based plant phenotyping GigaScience.
• GIBBS, JONATHON A, POUND, MICHAEL, FRENCH, ANDREW P, WELLS, DARREN M, MURCHIE, ERIK and PRIDMORE, TONY, 2017. Approaches to three-dimensional reconstruction of plant shoot topology and geometry Functional Plant Biology. 44(1), 62-75
• BURGESS, ALEXANDRA J, RETKUTE, RENATA, POUND, MICHAEL P, MAYES, SEAN and MURCHIE, ERIK H, 2017. Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems Annals of botany. 119(4), 517-532
• BURRELL, THOMAS, FOZARD, SUSAN, HOLROYD, GEOFF H, FRENCH, ANDREW P, POUND, MICHAEL P, BIGLEY, CHRISTOPHER J, TAYLOR, C JAMES and FORDE, BRIAN G, 2017. The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology Plant methods. 13(1), 10
• POUND, MICHAEL P, FOZARD, SUSAN, TORRES, MERCEDES TORRES, FORDE, BRIAN G and FRENCH, ANDREW P, 2017. AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping Plant methods. 13(1), 12
• POUND, MICHAEL P, ATKINSON, JONATHAN A, WELLS, DARREN M, PRIDMORE, TONY P and FRENCH, ANDREW P, 2017. Deep learning for multi-task plant phenotyping In: Computer Vision Workshop (ICCVW), 2017 IEEE International Conference on. 2055-2063
• POUND, MICHAEL P.AND FRENCH, ANDREW P.AND FOZARD, JOHN A.AND MURCHIE, ERIK H.AND PRIDMORE, TONY P., 2016. A patch-based approach to 3D plant shoot phenotyping Machine Vision and Applications. 1-13
• BURGESS, ALEXANDRA J., RETKUTE, RENATA, PRESTON, SIMON P., JENSEN, OLIVER E., POUND, MICHAEL P., PRIDMORE, TONY P. and MURCHIE, ERIK H., 2016. The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and Photosynthesis Frontiers in Plant Science. 7, 1392
• BURGESS, ALEXANDRA J, RETKUTE, RENATA, PRESTON, SIMON P, JENSEN, OLIVER E, POUND, MICHAEL P, PRIDMORE, TONY P and MURCHIE, ERIK H, 2016. The 4-dimensional plant: effects of wind-induced canopy movement on light fluctuations and photosynthesis Frontiers in plant science. 7, 1392
• POUND, MICHAEL, FRENCH, ANDREW P. and WELLS, DARREN M., 2015. Quantification of Fluorescent Reporters in Plant Cells PLANT CELL EXPANSION: METHODS AND PROTOCOLS. 1242, 123-131
• LOBET, GUILLAUME, POUND, MICHAEL P, DIENER, JULIEN, PRADAL, CHRISTOPHE, DRAYE, XAVIER, GODIN, CHRISTOPHE, JAVAUX, MATHIEU, LEITNER, DANIEL, MEUNIER, FELICIEN, NACRY, PHILIPPE, PRIDMORE, TONY P and SCHNEPF, ANDREA, 2015. Root system markup language: toward a unified root architecture description language. Plant physiology. 167(3), 617-27
• ATKINSON, JONATHAN A., WINGEN, LUZIE U., GRIFFITHS, MARCUS, POUND, MICHAEL P., GAJU, OORBESSY, FOULKES, M. JOHN, LE GOUIS, JACQUES, GRIFFITHS, SIMON, BENNETT, MALCOLM J., KING, JULIE and WELLS, DARREN M., 2015. Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat JOURNAL OF EXPERIMENTAL BOTANY. 66(8), 2283-2292
• BURGESS, ALEXANDRA J., RETKUTE, RENATA, POUND, MICHAEL P., FOULKES, JOHN, PRESTON, SIMON P., JENSEN, OLIVER E., PRIDMORE, TONY P. and MURCHIE, ERIK H., 2015. High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field PLANT PHYSIOLOGY. 169(2), 1192-+
• POUND, MICHAEL P., FRENCH, ANDREW P., MURCHIE, ERIK H. and PRIDMORE, TONY P., 2014. Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images PLANT PHYSIOLOGY. 166(4), 1688-U801
• BAND, LEAH R., WELLS, DARREN M., FOZARD, JOHN A., GHETIU, TEODOR, FRENCH, ANDREW P., POUND, MICHAEL P., WILSON, MICHAEL H., YU, LEI, LI, WENDA, HIJAZI, HUSSEIN I., OH, JAESUNG, PEARCE, SIMON P., PEREZ-AMADOR, MIGUEL A., YUN, JEONGA, KRAMER, ERIC, ALONSO, JOSE M., GODIN, CHRISTOPHE, VERNOUX, TEVA, HODGMAN, T. CHARLIE, PRIDMORE, TONY P., SWARUP, RANJAN, KING, JOHN R. and BENNETT, MALCOLM J., 2014. Systems Analysis of Auxin Transport in the Arabidopsis Root Apex PLANT CELL. 26(3), 862-875
• ANDREW P FRENCH and MICHAEL P POUND, 2014. Analysis of Root Growth Using Image Analysis. In: S DUTTA GUPTA and YASUOMI IBARAKI, eds., Plant Image Analysis: Fundamentals and Applications CRC Press / Taoylor and Francis. 279-289
• MICHAEL P POUND and ANDREW P FRENCH, 2014. An Introduction to Images and Image Analysis. In: S DUTTA GUPTA and YASUOMI IBARAKI, eds., Plant Image Analysis: Fundamentals and Applications CRC Press / Taylor and Francis.
• MICHAEL P POUND, ANDREW P FRENCH, JONATHAN ATKINSON, DARREN M WELLS, MALCOLM J BENNETT and TONY P PRIDMORE, 2013. RootNav: Navigating images of complex root architectures: http://www.plantphysiol.org/content/162/4/1802.long Plant Physiology.
• TONY P. PRIDMORE, ANDREW P. FRENCH and MICHAEL P. POUND, 2012. What lies beneath: underlying assumptions in bioimage analysis Trends in Plant Science. 17(12), 688-692