Research group

Sustainable Electronic Technologies

Wireless technology

Our group explores how to improve renewable energy sources and create more efficient electronic device technology to benefit the environment.

About

We research new methods of electricity generation, and more efficient electronics and communications, while addressing all aspects of sustainability.

Electronic devices, such as computers, mobile phones and data centres, account for a significant amount of the world's energy consumption.

We need electricity from renewable resources in order to allow advanced electronic devices to have a continued positive impact on society. We also need high-speed, low-power and efficient computing and communication.

Our research interests cover 3 main areas:

  • solar cells and energy harvesting, including photovoltaic devices, photovoltaic systems, thermoelectric generators and radiative cooling
  • mobile and automotive electronics, including lidar and beam steering light-emitting diodes, structural colour and photo-detectors
  • devices for artificial intelligence, including neuromorphic computing, heterogeneous integration, 2D material-based transistors and flexible electronics

People, projects and publications

People

Professor Mark Zwolinski BSc (Hons), PhD, CEng, FIET, FBCS, SMIEEE, SMACM

PROFESSOR IN ELECTRONICS & COMP SCIENCE

Accepting applications from PhD students

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Professor Martin Charlton

Prof of Photonics and Nano-Electronics
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Dr Nema Abdelazim PhD, AFHEA

Lecturer

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Dr Ruomeng Huang FHEA, SMIEEE, MInstP, MRSC

Associate Professor

Research interests

  • 1. Neuromorphic computing based on novel memristor materials and devices
  • 2. Machine learning enabled nanophotonics and energy harvesting devices design and optimization

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Dr Stuart Boden

Associate Professor

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Dr Tasmiat Rahman

Associate Professor

Research interests

  • Solar Energy Forecasting through Machine Learning and Computer Vision
  • Applied Photovoltaic Systems including Floating PV, Agri-PV, and HRES 
  • Low-Cost Air Quality Sensing for use in LMICs

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Dr Xu Fang

Lecturer

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Dr Yasir Noori PhD, CPhys, CEng, SMIEEE, FHEA

Lecturer

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