Dr Malcolm Thomas
BSc, PhD, MPhil
Areas of Expertise / Modules taught
Geographical Information Systems, Remote sensing, Information Technology in Conservation
I have over 20 years experience in H.E. delivery and management. As an Academic Divisional Leader, I have undertaken numerous student related processes including;
• Lecturing in environmental science, specialising in G.I. S and Remote Sensing.
• Examination preparation
• External Examiner Management
• Academic quality assurance both for the Faculty and for the University.
I have developed education links with Intechmer, France, delivering a 2+1 degree programme (http://www.intechmer.cnam.fr/)
Academic Subject Manager for Environment, in the School Of Applied Sciences
Gangappa, R., Rauf, K. M., Campbell, A. K., Hogg, S. I., & Thomas, M. C. (2012). Biosignatures of ‘Red Rain’ Microbes Revealed by UV-Visible and Fluorescence Spectroscopy. International Journal of Microbial Resource Technology, 2(3), 16-28.
Jones, D.; Pike, S.; Thomas, M.; Murphy, D. Object-Based Image Analysis for Detection of Japanese Knotweed s.l. taxa (Polygonaceae) in Wales (UK). Remote Sens. 2011, 3(2), 319-342;
C.L. Leigh, D.B. Kidner and M.C. Thomas, The use of LiDAR in digital surface modeling: issues and errors. Transactions in GIS, 13 4 (2009), pp. 345–361
Y. Méar, E. Poizot, A. Murat, P. Lesueur, M. Thomas, Fine-grained sediment spatial distribution on the basis of a geostatistical analysis: Example of the eastern Bay of the Seine (France), Continental Shelf Research, Volume 26, Issue 19, December 2006, Pages 2335-2351, ISSN 0278-4343,
E. Poizot, Y. Mear, M. Thomas, S. Garnaud, The application of geostatistics in defining the characteristic distance for grain size trend analysis, Computers & Geosciences, Volume 32, Issue 3, April 2006, Pages 360-370, ISSN 0098-3004,
A.T Williams, R.J Wiltshire, M.C Thomas, Sand grain analysis—image processing, textural algorithms and neural nets, Computers & Geosciences, Volume 24, Issue 2, 20 March 1998, Pages 111-118, ISSN 0098-3004, 10.1016/S0098-3004(98)00004-1.
A.T. Williams, M.C. Thomas, Analysis of barrier island surface sediments by scanning electron microscopy, Marine Geology, Volume 86, Issues 2-3, March 1989, Pages 101-118, ISSN 0025-3227,
M. C. Thomas1, R. J. Wiltshire2, A. T. Williams. (1995) The use of Fourier descriptors in the classification of particle shape. Sedimentology. Volume 42, Issue 4, pages 635–645, August 1995
Even L., Mear Y., Poizot E. and Thomas M. (2001). PROFMAN : A G.I.S. Based System For Analysis of Seismic Profile Data. 9th annual conference on G.I.S. Research in the U.K. (GISRUK),
Gangappa, R., Thomas, M., & Hogg, S. (2013, Sep). Biosignatures of Kerala red rain cells: Implications for understanding their origin. In European Planetary Science Congress 2013, held 8-13 September in London, UK. Online at: http://meetingorganizer.copernicus.org/EPSC2013/EPSC2013-1-1.pdf
Gangappa, R., Thomas, M., Hogg, S. (2013, April). Biological properties of Kerala red rain cells: Insights into the environmental conditions of their origin. In 5th UK Astrobiology Conference, UK Centre for Astrobiology, Edinburgh, United Kingdom.
Gangappa, R., Thomas, M., Hogg, S. (2012, July). Fluorescence properties of compounds in the red rain cells of Kerala. Society for General Microbiology, Autumn Conference, University of Warwick, United Kingdom.
Gangappa, R., Thomas, M., Hogg, S. (2012, Oct). Biological properties of Kerala red rain cells: A possible new opportunity in biotechnological exploration. The Welsh Microbiology Association (WMA) Winter Meeting, United Kingdom.
Aesthetic Impacts of Oil In The Marine Environment (Environment Agency R & D Draft Technical Report, 1996) E.J. Bent and M C Thomas.
I have successfully been PhD. Director Of Studies for
Rajkumar Gangappa. Investigation of the biological properties of Kerala red rain cells (Doctoral dissertation, University of South Wales). Available at http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581435.
I have successfully supervised 1 MRes project and am currently a co-supervisor on 2 PhDs in area of the application of drone imagery in environmental modelling
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