Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171

Advanced VR Research Centre

Find out more about some of the AVRRC's featured projects by clicking the items below.

  • Big Data - Interactive Visual Analytics

    Big data is challenging scientists and engineers as they tackle increasingly complex systems. The greater inter-connectedness of systems is adding to the challenge because of the need to process huge amounts of data which originates from many different sources and with different degrees of uncertainty. Whilst great strides have been achieved with semi-automated analysis of the data it is often the human that makes sense of the data. Consequently, our research is exploring how to effectively couple the human with their data through advanced interactive visual analytics. Understanding the perceptual and cognitive factors is key to the progress in this field.

  • Insight Benefits of Interaction in Visual Analytics

    Visual Analytics is a multi-disciplinary field that uses interactive visualisations to promote and assist the analytic reasoning and generate insights. Understanding the perceptual and cognitive factors is key to the progress in this field. This research focuses on understanding the benefits of interaction in terms of insight generation. Moreover, this investigation explores the compounding effects individual differences have with interaction when analysing data to generate insights. This study investigated the individual differences in two sets; psychometric set measures, and a sensorial preferences multimodal learning style.

  • Monitoring Endangered Species through Analysis of Complex Sparse Big Data

    This project is concerned with monitoring endangered species through analysis of sparse big data in order to help conservation scientists.

  • Big Data - Protecting High Value Assets Travelling in Hostile Territory

    Transportation of high value assets in urban and rural environments represents a serious risk from attacks and interceptions. Research has been undertaken to look at solutions to track hundreds of vehicles 24/7 and trianguulate hostile threats and intercept them. Special big data analytics and visualization techniques have been developed to process the huge amounts of data that must be processed in a very short time to identify the location of the threat.

  • Designing for Adaptability and evolutioN in System of systems Engineering DANSE

    DANSE focuses on the development of a new methodology to support evolving, adaptive and iterative System of Systems (SoS) life-cycle models based on a formal semantics for SoS inter-operations and supported by novel tools for analysis, simulation, and optimisation.

  • EU FP7 DANSE: Integrated Water Treatment Systems

    Human life is critically dependant on availability of clean drinking water. However, in certain parts of the world the effects of population growth, population movement and climate change is putting the supply of water at risk. This project looks at how to create a resilient architecture for future water supply networks.

  • British Swimming - Big Data Performance Evaluation Platform

    This project established a web-platform to manage Big Data emerging from the Intensive Training Centre framework for British Swimming including functionality to capture data and text based information and produce management reports.‌

  • Platform Independent Model Driven Architectures for Future Vehicle Systems

    The goal of the project is to investigate how model driven architectures coupled with open systems architectures can be used to support future vehicle designs by driving the system architecture from a platform independent perspective. This will make it significantly easier to design and re-use validated system components and manage the ever increasing system complexity of the overall vehicle design.

  • Low Effort Energy Demand Reduction

    LEEDR (Low-Effort Energy Demand Reduction) is a 3.7 year £1.9m project running at Loughborough University. This interdisciplinary project will integrate energy monitoring with design and social anthropological understanding of household energy use. The project will enable the design and evaluation of the next generation intervention strategies that will help the UK towards achieving the 2050 CO2 reduction targets (LEEDR 2010 [www.leedr-project.co.uk]).

  • Predicting Water Supply/Demand Across a 10 Year Cycle Through Visual Analytics

    The changing global climate and growing population is challenging the resilience of water supply systems across the UK. This project describes the data mining and modeling of domestic water demand based on previous consumption profile and weather forecasts.