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Department of Applied Mathematics

Dr Mark Pogson

Dr Mark Pogson

Telephone: 0151 231 2155

Biography

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.

Degrees

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

Publications

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

Dondini M, Alberti G, Delle Vedove G, Ventura M, Tonon G, Viger M, Harris ZM, Jenkins JR, Richards M, Pogson M, Taylor G, Smith JU, Smith P. 2017. Evaluation of the ECOSSE model to predict heterotrophic soil respiration by direct measurements EUROPEAN JOURNAL OF SOIL SCIENCE, 68 :384-393 >DOI >Link

Richards M, Pogson M, Dondini M, Jones EO, Hastings A, Henner DN, Tallis MJ, Casella E, Matthews RW, Henshall PA, Milner S, Taylor G, McNamara NP, Smith JU, Smith P. 2017. High-resolution spatial modelling of greenhouse gas emissions from land-use change to energy crops in the United Kingdom GCB Bioenergy, 9 :627-644 >DOI

Pogson M. 2016. Simulation of Invertebrate Aggregation Shows the Importance of Stable Personality over Diversity in Consensus Decision-Making. PLoS One, 11 :e0165082 >DOI >Link

Dondini M, Richards M, Pogson M, Jones EO, Rowe RL, Keith AM, McNamara NP, Smith JU, Smith P. 2016. Evaluation of the ECOSSE model for simulating soil organic carbon under Miscanthus and short rotation coppice-willow crops in Britain GCB Bioenergy, 8 :790-804 >DOI

Dondini M, Richards MIA, Pogson M, McCalmont J, Drewer J, Marshall R, Morrison R, Yamulki S, Harris ZM, Alberti G, Siebicke L, Taylor G, Perks M, Finch J, McNamara NP, Smith JU, Smith P. 2016. 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, 8 :925-940 >DOI

Santangeli A, Toivonen T, Pouzols FM, Pogson M, Hastings A, Smith P, Moilanen A. 2016. Global change synergies and trade-offs between renewable energy and biodiversity GCB Bioenergy, 8 :941-951 >DOI

Santangeli A, Di Minin E, Toivonen T, Pogson M, Hastings A, Smith P, Moilanen A. 2016. Synergies and trade-offs between renewable energy expansion and biodiversity conservation - a cross-national multifactor analysis GCB Bioenergy, 8 :1191-1200 >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, 16 :2357-2368 >DOI

Pogson M, Richards M, Dondini M, Jones EO, Hastings A, Smith P. 2016. ELUM: A spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK Environmental Modelling and Software, 84 :458-466 >DOI

Dondini M, Jones EO, Richards M, Pogson M, Rowe RL, Keith AM, Perks MP, McNamara NP, Smith JU, Smith P. 2015. Evaluation of the ECOSSE model for simulating soil carbon under short rotation forestry energy crops in Britain GLOBAL CHANGE BIOLOGY BIOENERGY, 7 :527-540 >DOI >Link

Pogson M, Smith P. 2015. Effect of spatial data resolution on uncertainty ENVIRONMENTAL MODELLING & SOFTWARE, 63 :87-96 >DOI >Link

Subedi M, Matthews RB, Pogson M, Abegaz A, Balana BB, Oyesiku-Blakemore J, Smith J. 2014. Can biogas digesters help to reduce deforestation in Africa? BIOMASS & BIOENERGY, 70 :87-98 >DOI >Link

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 E, Drewer J, Drosler M, Smith P. 2014. Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model Water, Air, & Soil Pollution, 225 >DOI

Pogson M, Hastings A, Smith P. 2013. How does bioenergy compare with other land-based renewable energy sources globally? GLOBAL CHANGE BIOLOGY BIOENERGY, 5 :513-524 >DOI >Link

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, Robertson A, Vetter S, Wong HM, Smith J. 2012. Systems approaches in global change and biogeochemistry research PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 367 :311-321 >DOI >Link

Wang S, Wang S, Hastings A, Pogson M, Smith P. 2012. Economic and greenhouse gas costs of Miscanthus supply chains in the United Kingdom GLOBAL CHANGE BIOLOGY BIOENERGY, 4 :358-363 >DOI >Link

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, Worth D. 2012. Modelling complex biological systems using an agent-based approach INTEGRATIVE BIOLOGY, 4 :53-64 >DOI >Link

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, 29 :37-43 >DOI >Link

Pogson M. 2011. Modelling Miscanthus yields with low resolution input data ECOLOGICAL MODELLING, 222 :3849-3853 >DOI >Link

Hughes RJ, Angus JAS, Cox TJ, 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, 128 :2847-2856 >DOI >Link

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-kappa B Modelling - An Agent-Based Approach PLOS ONE, 3 >DOI >Link

Pogson M, Smallwood R, Qwarnstrom E, Holcombe M. 2006. Formal agent-based modelling of intracellular chemical interactions BIOSYSTEMS, 85 :37-45 >DOI >Link

Other

Verheul JP, robinson , vanrenterghem , lisboa , pogson , gregson . Training load monitoring in soccer: can a mass-spring-damper model reproduce ground reaction forces during dynamic tasks?