Research

From statistics to integrable systems, astrophysics to smart materials and communications to renewable energy, Mathematics, Physics and Electrical Engineering’s pioneering research focuses on a wide range of areas.

From statistics to integrable systems, astrophysics to smart materials and communications to renewable energy, Mathematics, Physics and Electrical Engineering’s pioneering research focuses on a wide range of issues. The department has core groups in Astrophysics (Solar MHD), Mathematical Physics (Dynamical Systems & Symmetries), Statistics, Sustainable and Renewable Energy Systems (S&RES), Advanced Materials and Manufacturing (AM&M), and Communications, Control and Instrumentation (CC&I).

Prospective PhD students: Opportunities to carry out postgraduate research towards an MPhil/PhD or MSc by research exist in all the areas identified above. Further information may be obtained from The Graduate School.

Visiting scholars: We welcome visiting academics - please contact Dr James McLaughlin (Mathematics) or Dr Wai Pang Ng (Physics or Electrical Engineering)

To access research outputs in this area and others, please visit Northumbria Research Link.


Click each research area below to find out more about our work:

Advanced signal processing

Advanced Signal Processing work focuses on the issue of non-uniform/irregular sampling, compressive sensing and chaotic communication systems.

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Applied Statistics

Statistics are ubiquitous in everyday life with an increasing demand on both the provision and explanation of meaningful statistics to navigate through the increasing demands of the data-driven modern world.

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Biomathematics

The focus of the research is in mathematical, statistical and computational models of processes and events in biology, physiology and medicine.

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Condensed Matter

This group uses nanofabrication and advanced materials characterisation techniques to probe the physics of structures such as quantum dots, nanocrystals and atomically thin 2D layers.

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Dynamical Systems and Symmetries

The focus of the research is the time evolution of physical systems, both classical and quantum mechanical, and the symmetries underlying their dynamics and structures.

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Learning and Teaching

Our work is based on educational research across the academic disciplines of architecture, built environment, computing, engineering, geography, information sciences, mathematics, physics and statistics.

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Microwave Imaging & Antenna

Antenna research concentrates on the microwave region for mobile telephones and Radio Frequency Identification Devices.

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Nonlinear Waves and Integrable Systems

Nonlinear phenomena appear everywhere in nature, from water waves to magnetic materials, from optics to weather forecasts. This group of researchers aim to understand the phenomena both from the theoretical and the applicative point of view.

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Non-Linear Control

Research in nonlinear control covers nonlinear observer design and path/motion planning.

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Northumbria Photovoltaic Applications Group

Northumbria Photovoltaic Applications Group (NPAG) focuses on the development and practical application of photovoltaics (PV)

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Optical Communications

Optical Communications research is focused on theoretical investigation, simulation and practical implementation of devices, and systems for optical wireless communications, visible light communications, free space optical communications, radio over fibre, and high-speed optical switching & routing.

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Power and Wind Energy (PaWE)

This group covers grid integration of renewable energy sources and electric vehicles (smart grids); wind energy conversion systems; electric drives; power quality; advanced control systems and complex industrial processes and systems.

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Smart Materials & Soft Matter

This group's interests are mainly around how liquids interact with surfaces and how that interaction can be controlled.

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Solar Physics

Solar Physics at Northumbria University investigates Solar Physics using advanced mathematical techniques and cutting-edge computer simulations, including the use of high-performance computing.

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