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Department of Applied Mathematics

Dr Mark Pogson

Dr Mark Pogson

Telephone: 0151 231 2155


I joined Liverpool John Moores University in 2016 as a Lecturer in Applied Mathematics. My current teaching responsibilities are Level 4 Modelling, Level 6 Advanced Calculus and Level 6 project supervision. I previously worked as a lecturer at the University of Bolton (2013-2016), where I taught in Mathematics and Biomedical Engineering. I have a PGCert in Teaching and Learning in Higher Education, and am a Fellow of the Higher Education Academy.

I have a range of research interests. For my PhD I modelled a biochemical signalling pathway involved with immune responses. Following this I worked as a researcher in the Department of Physics and Astronomy at the University of Sheffield (2007-2010), where I modelled scattering of sound to improve room acoustics. I then worked as a researcher in the Institute of Biological and Environmental Sciences at the University of Aberdeen (2010-2013), where I modelled energy crop yields and the effects of land-use change on greenhouse gas emissions from soil. I continue to perform a variety of research, with a particular interest in modelling biology.


2006, University of Sheffield, Department of Computer Science, United Kingdom, PhD Computational Biology
2003, University of Bristol, United Kingdom, BSc Mathematics and Physics


Conference Publication (journal proceedings)

Burniston JG, Camera DM, Pogson MA, Hawley JA. 2017. Dynamic Proteome Profiling of the Human Muscle Response to Resistance Exercise Training FASEB JOURNAL, Annual Meeting of the American-Society-for-Pharmacology-and-Experimental-Therapeutics (ASPET) at Experimental Biology Meeting 31 >Link

Journal Articles

Camera DM, Burniston JG, Pogson MA, Smiles WJ, Hawley JA. 2017. Dynamic proteome profiling of individual proteins in human skeletal muscle after a high-fat diet and resistance exercise FASEB JOURNAL, 31 :5478-5494 >DOI >Link

Pogson M. 2016. Simulation of Invertebrate Aggregation Shows the Importance of Stable Personality over Diversity in Consensus Decision-Making PLoS One, >DOI

Santangeli A, Di Minin E, Toivonen T, Pogson M, Hastings A, Smith P. 2016. Synergies and trade-offs between renewable energy extraction and biodiversity conservation - a cross-national multi-factor analysis GCB Bioenergy, >DOI

Abdalla M, Richards M, Pogson M, Smith JU, Smith P. 2016. Estimating the effect of nitrogen fertilizer on the greenhouse gas balance of soils in Wales under current and future climate Regional Environmental Change, >DOI

Richards M, Pogson M, Dondini M, Jones EO, Hastings A, Henner D, Tallis MJ, Casella E, Matthews RW, Henshall PA, Milner S, Taylor G, McNamara NP, Smith P. 2016. High resolution spatial modelling of greenhouse gas emissions from land use change to energy crops in the UK GCB Bioenergy, >DOI

Pogson M, Richards M, Dondini M, Jones EO, Hastings A, Smith P. 2016. ELUM: User-friendly spatial modelling tool predicts net soil greenhouse gas balance of bioenergy land-use change in UK up to 2050 ENVIRONMENTAL MODELLING & SOFTWARE, >DOI

Pogson M, Smith P. 2015. Effect of spatial data resolution on uncertainty ENVIRONMENTAL MODELLING & SOFTWARE, >DOI

Dondini M, Richards M, Pogson M, Jones EO, Rowe RL, Keith AM, McNamara NP, Smith JU, Smith P. 2015. Evaluation of the ECOSSE model for simulating soil organic carbon under Miscanthus and short rotation coppice-willow crops in Britain GCB Bioenergy, >DOI

Dondini M, Richards M, Pogson M, McCalmont J, Drewer J, Marshall R, Siebicke L, Yamulki S, Harris Z, Alberti G, Taylor G, Perks M, Finch J, McNamara NP, Smith JU, Smith P. 2015. Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model. A comparison between site measurements and model predictions GCB Bioenergy, >DOI

Santangeli A, Toivonen T, Pouzols FM, Pogson M, Hastings A, Smith P. 2015. Global change synergies and trade-offs between renewable energy and biodiversity GCB Bioenergy, >DOI

Dondini M, Jones EO, Richards M, Pogson M, Rowe RL, Perks M, McNamara NP, Smith JU, Smith P. 2014. Evaluation of the ECOSSE model for simulating soil carbon under short rotation forestry energy crops in Britain GCB Bioenergy, >DOI

Subedi M, Matthews R, Pogson M, Abegaz A, Balana B, Oyesiku-Blakemore J, Smith J. 2014. Can biogas digesters help to reduce deforestation in Africa? Biomass and Bioenergy, >DOI

Abdalla M, Hastings A, Bell MJ, Smith JU, Richards M, Nilsson MB, Peichl M, Löfvenius MO, Lund M, Helfter C, Nemitz E, Sutton MA, Aurela M, Lohila A, Laurila T, Dolman AJ, Belelli-Marchesini L, Pogson M, Jones EO, Drewer J, Drosler M, Smith P. 2014. Simulation of CO2 and attribution analysis at six European peatland sites using the ECOSSE model Water, Air and Soil Pollution: an international journal of environmental pollution, >DOI

Pogson M, Hastings A, Smith P. 2012. Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought ENVIRONMENTAL MODELLING & SOFTWARE, >DOI

Pogson M, Hastings A, Smith P. 2012. How does bioenergy compare with other land-based renewable energy sources globally? GCB Bioenergy, >DOI

Pogson M. 2011. Modelling Miscanthus yields with low resolution input data ECOLOGICAL MODELLING, >DOI

Smith P, Albanito F, Bell M, Bellarby J, Blagodatskiy S, Datta A, Dondini M, Fitton N, Flynn H, Hastings A, Hillier J, Jones EO, Kuhnert M, Nayak DR, Pogson M, Richards M, Sozanska-Stanton G, Wang S, Yeluripati JB, Bottoms E, Brown C, Farmer J, Feliciano D, Hao C, Roberston A, Vetter S, Wong HM, Smith J. 2011. Systems approaches in global change and biogeochemistry research PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, >DOI

Wang S, Wang S, Hastings A, Pogson M, Smith P. 2011. Economic and greenhouse gas costs of Miscanthus supply chains in the United Kingdom GCB Bioenergy, >DOI

Holcombe M, Adra S, Bicak M, Chin S, Coakley S, Graham AI, Green J, Greenough C, Jackson D, Kiran M, MacNeil S, Maleki-Dizaji A, McMinn P, Pogson M, Poole R, Qwarnstrom E, Ratnieks F, Rolfe MD, Smallwood R, Sun T, Worthe D. 2011. Modelling complex biological systems using an agent-based approach Integrative Biology, >DOI

Hughes RJ, Angus JAS, Cox O, Umnova O, Gehring GA, Pogson M, Whittaker DM. 2010. Volumetric diffusers: pseudorandom cylinder arrays on a periodic lattice Journal of the Acoustical Society of America, >DOI

Pogson MA, Whittaker DM, Gehring GA, Hughes RJ, Angus JAS, Cox TJ. 2010. Multiple Scattering Between Cylinders and a Schroeder Diffuser ACTA ACUSTICA UNITED WITH ACUSTICA, 96 :292-299 >DOI >Link

Pogson MA, Whittaker DM, Gehring GA, Cox TJ, Hughes RJ, Angus JAS. 2010. Diffusive benefits of cylinders in front of a Schroeder diffuser JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 128 :1149-1154 >DOI >Link

Pogson M, Holcombe M, Smallwood R, Qwarnstrom E. 2008. Introducing spatial information into predictive NF-κB modelling – an agent-based approach PLoS One, >DOI

Pogson M, Smallwood R, Qwarnstrom E, Holcombe M. 2006. Formal agent-based modelling of intracellular chemical interactions BIOSYSTEMS, >DOI

Dondini M, Alberti G, Ventura M, Tonon G, Keane B, Harris ZM, Richards M, Pogson M, Taylor G, Ineson P, Smith JU, Smith P. Heterotrophic respiration can be predicted by the ECOSSE model. A model evaluation using direct measurements European Journal of Soil Science, >DOI


Verheul JP, Robinson M, vanrenterghem , Lisboa P, pogson , Gregson W. Training load monitoring in soccer: can a mass-spring-damper model reproduce ground reaction forces during dynamic tasks?

Engagement & Impact

Conference presentation:

Title of presentation: Training load monitoring in soccer: can a mass-spring-damper model reproduce ground reaction forces during dynamic tasks?, Conference title: International Society of Biomechanics, Place/location of conference: Brisbane, Presentation type: Oral presentation