Research

image
Energy Harvesting

Energy harvesting is a process of converting energy from ambient sources, such as sunlight, electromagnetic fields or ambient vibrations, into usable electrical energy. Energy harvesting provides an alterative energy source in applications where battery power is unavailable or undesirable, such as ultra low power IoT sensor nodes. In this research theme, we apply nonlinear circuit theory to analyse nonlinear effects in vibration energy harvesters in order to identify the fundamental performance limits and derive the operating parameters that allow maximum energy to be extracted. (Read more)





image
Ultra Low Power IoT SoCs

In contrast to normal PCs, which have primarily focused on human interfaces, IoT devices receive input through sensors that are often highly miniaturized. A typical IoT node integrates multiple sensors, data converters, analog front-end modules, wireless Tx/Rxs, microprocessors and memory. IoT devices are often untethered; they must survive on a battery for many years or harvest power from the environment. Power consumption is one of the most critical considerations for IoT applications. This research theme focuses on creating a common ultra low power system-on-chip (SoC) hardware platform using the latest nanoscale CMOS technologies. (Read more)





image
Network-Aware Intelligent Radio Access Nodes

To deliver services ranging from multi-dimensional high-speed data streams to billions of low-data rate machine to machine communications, future wireless network access nodes, e.g., cellular base-stations and network getways, must be highly reconfigurable, frequency agile, information adaptive, and intelligent in using resources. This research theme focuses on developing digitally assisted power efficient reconfigurable wireless transceiver architectures and related subsystems, with a particular emphasis on applying advanced digital signal processing techniques to enhance analogue circuit performance. (Read more)





image
Cooperative Wireless

Future wireless devices will need to coexist in a world of high spatial densities with concomitant spectral congestion. One way of addressing this is through hugely flexible nodes that can operate in an intelligent and cooperative manner, particularly at the physical layer which consists of radio front-end, modulation schemes and protocols used. This research theme focuses on developing algorithms, components and systems needed for the implementation and deployment of energy and bandwidth efficient cooperative wireless networks. (Read more)





image
Novel Applications of LED Light Sources

The adoption of LED light sources across the world will truly bring about an energy revolution and may go towards addressing projected energy crises. While the advantages of such sources appear obvious, their widespread adoption also raises critical issues regarding their optical effects on humans and animals. One example is that the installation of blue LED in Tokyo subway system has been reported as producing a significant decrease (80%) in the number of suicides. The UCD team has been applying LEDs to a range of advanced applications, including light therapy marks for race horses. The automated device provides the optimum level of blue light to a single eye to successfully advance the breeding season. (Read more)





image
Deep Brain Stimulation for Parkinson’s Disease

Deep brain stimulation (DBS) involves electrically stimulating neurons with tiny electrodes implanted within the deep structures of the brain. Over the past decade, it has become established an effective therapy for treating the symptoms of Parkinson’s disease and other neurological disorders. Despite its clinical success, the mechanisms by which DBS works are not yet understood. In this research, we are developing computer models of the central and peripheral nervous system to better understand how DBS affects the activity of networks of neurons within the brain and neuromuscular system. Using these models we can explore the mechanisms by which DBS exerts its therapeutic effects and design optimal stimulation patterns that can ultimately be applied in patients to obtain better clinical outcomes. (Read more)