BSc MSc PhD, MIEEE
Office: Room 403, Dean Street
My research interests are in the fields of applied photovoltaics, embedded microelectronics and wireless sensor networks. I am particularly interested in practical applications using organic photovoltaics. My latest research involves the use of artificial neural networks for data foecasting.
We have an outdoor solar photovoltaic (PV) monitoring system on the roof of the department, which is used for testing PV modules fabricated from next generation materials: organic, perovskite etc. We are always looking for new materials to work with. Our latest work has involved testing large area organic PV modules. We are also investigating the use of solar cells for indoor energy harvesting, specifically in the area of wireless sensors.
Internet of Things (IoT)
We are working on developing wireless sensors for many different applications, working with partners across the spectrum, from agri-tech to social housing. We are looking at developing edge computing applications, where much of the computing effort takes place on the sensor, reducing the amount of data being transmitted. We are also looking at developing machine learning techniques to make use of the large amounts of data that IoT devices generate. We are always looking for more applications for this technology.
We are working on various data science applications, especially in the area of data forecasting; using past data to predict future performance. As the amount of data created by IoT devices increases it becomes harder to make full use of it and this is where data forecasting using artificial neural networks comes into its own. We are always looking for more opportunities to utilise these techniques.