His research, teaching, industrial knowledge transfer and industry facing activities include digital and analogue signal processing, mixed-signal silicon circuit and system design (synchronous and asynchronous), sensors, and sensor networks, reduced complexity low-power multi-standard GNSS receivers along with efficient biomedical signal and image processing techniques and satellite on-board processing and processors as well as communication systems and receivers. He is currently leading research in the design and efficient implementation of sensors and sensor networks, for ground sensors and unmanned aerial vehicles based sensors and sensor networks for environment, monitoring as well as for wearable devices for health and wellbeing applications. All developed low-power DSP algorithms and devices are applicable in the communications, GNSS, sensors and biomedical industries and are inline with the next generation Internet of Things concepts. He is also working with the European Space Agency on efficient low-power and complexity reduced reconfigurable channeliser algorithms and processors to be deployed in next generation on-board satellite processing systems.