معرفی
Paul Johnson is a Senior Lecturer in Applied Mathematics at the University of Manchester, where he has been affiliated for nearly two decades. He leads the Mathematical Modelling in Finance and Economics Group, focusing on stochastic systems and partial differential equations (PDEs) in finance, energy, and resource management. His research addresses challenges in renewable energy (wind, solar), banking, and revenue optimization, with applications to battery storage valuation, imbalance markets, and nuclear emergency response.
Johnson holds a BSc, MSc, and PhD from Manchester, followed by postdoctoral work in the same department. His expertise spans financial systems with uncertain flows, non-linear PDE solutions, and interdisciplinary applications in energy economics. Recent work emphasizes regime switching models, stochastic volatility, and optimal control strategies for storage systems and hedge funds.
His 35+ publications reflect contributions to energy storage valuation, risk management in finance, and statistical process control. Notable awards include the Best Student Paper Award (2012) for collaborative work on optimization methodologies. He supervises a team of PhD students exploring energy and finance intersections, and his research aligns with UN Sustainable Development Goals on affordable energy and climate action.
