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Studies on the design and implementation of low-power and high-performance neuromorphic electronics for challenging cognitive tasks, and building large-scale neural networks to help research and cure brain diseases.

, Professor Janina Mazierska,

Development of accurate and precise methods to measure quantities tied to bulk or film materials at microwave frequencies - including superconductors and dielectrics.

AI and machine learning are becoming an indispensable part of our everyday lives. Building hardware that can run them efficiently while consuming little power is therefore essential. This research is focused on developing hardware for resource-constrained low-power devices, which can run at the edge of the Internet of Things, and near billions of sensors currently operating around us.

Fabrication of novel thin films (metallic, polymer, organic semiconductors and graphene) using plasma enhanced chemical vapour deposition and non-destructive characterisation of materials (superconductors, conductors, polymers and insulators/dielectrics) at cryogenic temperature (from -2700C). Electrical testing and calibration of devices, and development and testing of sensors for various applications including precision agriculture.

Studying the design and implementation of low-cost ubiquitous computers for applications ranging from agriculture automation to medical instrumentation.

Development of custom made microwave pyrolysis units and optimise waste to energy conversion requirements.