Dr Paul McKennaBusiness Partnerships Manager
I have been working as a Business Partnerships Manager since 2011, within the Enterprise and Business Partnerships (EBP) team in the Lancaster Environment Centre. Through this role I identify, develop and support new collaborative research opportunities and partnerships relevant to a broad spectrum of expertise across LEC. I also handle relationship management of key research partnerships across LEC (e.g. Environment Agency) and a number of resident companies.
My role provides support to members of staff considering opportunities for collaborative working both across LEC and with other partners to exploit new and more diverse income streams for research. I also provide project management of post-award processes, project reporting and monitoring of major LEC research collaborations and projects.
I have previously worked with the Associate Director for Research and Research Promotions Officer in carrying out the preparations for LEC’s submission to the Research Excellence Framework (REF) in 2014.
Prior to this role I was the coordinator of a £1.2M Environment Agency Air Quality Umbrella Project and coordinated the first UK Conference on Energy Policy, “Will the lights go out?” in December 2004.
My research interests began in the development of algorithms for data-based transfer function modelling and their application to environmental time series. I also have experience in the application of mechanistic models as tools for horticultural control design and environmental management. Most recently, I have been involved with research into sophisticated data analysis techniques and devices to monitor air pollution for source apportionment purposes. I currently focus primarily on development and management of research partnerships for researchers across LEC.
I graduated in 1993 from Lancaster University with a first class degree in Environmental Science, followed by a PhD entitled “Delta operator modelling, forecasting and control” in 1997.
Through my subsequent postdoctoral research projects I employed these data-based mechanistic transfer function modelling tools in a number of different time series applications:
- Catchment erosion in partially logged tropical rainforest in Malaysia Borneo (Royal Society funded)
- Mass and energy flows in imperfectly mixed airspaces in animal housing, in collaboration with Katholieke Universiteit Leuven, Belgium (BBSRC funded)
- Coordination of ramp metering sites for inter-urban motorways in collaboration with the Intelligent Transportation Systems Program at the Massachusetts Institute of Technology (MIT) USA (UK Highways Agency funded)
- Development of state-dependent parameter estimation algorithms for modelling non-linear stochastic systems (EPSRC funded).
I have also worked on projects developing larger mechanistic models:
- Optimal control of nitrate accumulation in greenhouse lettuce and other leafy vegetables using the NICOLET model. This post was at the Technion (Israeli Institute of Technology) in Haifa, Israel (EC FP5 funded).
- Calibrating and evaluating the Phosphorus Indicators Tool (PIT) to estimate phosphorus losses from soils to surface water (Defra funded).
The common thread running through much of my work is the modelling of flows, whether these are flows of eroded sediments or nutrients in catchments, air mass and energy in animal housing, cars on motorways or nitrates in lettuces.
Recently I have had a limited input into the development of new passive air sampling technologies resulting from collaborative research between LEC and the UK Environment Agency.
Daily irradiance and sunshine hours in North West England: a consultancy report undertaken for Placefirst
Ferranti, E., McKenna, P. 12/2012 Lancaster University. 20 p.
Field testing of a new flow-through directional passive air sampler applied to monitoring ambient nitrogen dioxide.
Lin, C., McKenna, P.G., Timmis, R., Jones, K.C. 2010 In: Journal of Environmental Monitoring. 12, 7, p. 1430-1436. 7 p.
The Captain toolbox.
Young, P.C., Taylor, C.J., Tych, W., Pedregal, D.J., McKenna, P.G. 2010
Macroscopic traffic flow modelling and ramp metering control using Matlab/Simulink
Taylor, C.J., McKenna, P.G., Young, P.C., Chotai, A., Mackinnon, M. 1/10/2004 In: Environmental Modelling and Software. 19, 10, p. 975-988. 14 p.
Model-based PIP control of the spatial temperature distribution in cars.
Quanten, S., McKenna, P., Van Brecht, A., Van Hirtum, A., Young, P.C., Janssens, K., Berckmans, D. 10/11/2003 In: International Journal of Control. 76, 16, p. 1628-1634. 7 p.
State dependent parameter (SDP) modelling of a traffic corridor based on a macroscopic statistical traffic model (STM).
Kontoroupis, P., McKenna, P.G., Taylor, C.J., Chotai, A., Young, P.C. 2003 In: Proceedings of the 16th international conference on systems engineering (ICSE2003). p. 367-372. 6 p.
Traffic flow modelling and linked ramp metering control for the M3/M27 pilot scheme.
Taylor, C.J., McKenna, P.G., Young, P.C., Chotai, A., Scariza, J. 2003 In: Proceedings of the 16th international conference on systems engineering, ICSE 2003. p. 687-692. 6 p.
Identification of non-linear stochastic systems by state dependent parameter estimation.
Young, P.C., McKenna, P., Bruun, J. 12/2001 In: International Journal of Control. 74, 18, p. 1837-1857. 21 p.
Parsimonious modelling of water and suspended-sediment flux from nested-catchments affected by selective tropical forestry.
Chappell, N.A., McKenna, P., Bidin, K., Douglas, I., Walsh, R.P.D. 29/11/1999 In: Philosophical Transactions B: Biological Sciences. 354, 1391, p. 1831-1846. 16 p.
Proportional-integral-plus (PIP) design for delta (d ) operator systems : part 1, SISO systems.
Young, P.C., Chotai, A., McKenna, P., Tych, W. 05/1998 In: International Journal of Control. 70, 1, p. 123-147. 25 p.
Proportional-integral-plus (PIP) design for delta (d ) operator systems: part 2, MIMO systems.
Chotai, A., Young, P.C., McKenna, P., Tych, W. 05/1998 In: International Journal of Control. 70, 1, p. 149-168. 20 p.
Delta operator: modelling forecasting and control
McKenna, P. 09/1997 Lancaster University. 207 p.