In today’s global market for chicken, producers of broiler hatching eggs face challenges in managing production efficiently. Traditional methods struggle with complex record-keeping and a lack of real-time monitoring and prediction capabilities. To overcome these challenges, we propose a digital twin framework—a virtual copy of the chicken production system. This framework uses synthetic data generated […]

Synthetic aperture radar (SAR) satellites provide wide area global perspectives through images of the Earth’s surfaces and its governing processes. Capable of detecting small variations in surface roughness, and unconstrained by lighting and weather conditions, SAR is a robust remote sensing instrument. Designing and operating a SAR is a complex process, as there are numerous […]

Research will be conducted to determine the best way to visualize and operationalize engine performance data collected in real-time for vessel owners and operators. Performance data will be correlated to weather and sea conditions to understand their impacts on fuel usage and emissions. The methods of displaying data will be explored to determine the best […]

Sustainable access to energy requires a shift from carbon-intensive sources. Hence, this project aims to improve efficiency of national energy systems via informed decision-making. The holistic modelling framework will integrate individual aspects of energy production and consumption in buildings. Our platform will simulate and optimize the energy source composition to minimize emissions and economic impact. […]

In this project, we aim to improve the efficiency of waste detection on conveyor belts using advanced computer vision technology. By incorporating innovative generative models and data fusion techniques, we seek to enhance the accuracy of identifying different types of waste materials. This research will contribute to more effective waste sorting processes, ultimately reducing environmental […]