Overall, my research interests fall into a number of areas:

• Semantic web
  Semantic technologies are at the heart of the future Web providing ways to express knowledge and data so that it can be properly exploited. My research interests focus on the design and provision of evaluation methodologies and metrics for semantic search technologies. In addition to the fundamental research into new ways to evaluate search approaches focussed on static (traditional ontologies) and dynamic (linked data) knowledge bases, I am also active in the organisation of evaluation campaigns. I co-edited a special issue on the evaluation of semantic technologies for the Journal of Web Semantics.
  Funded Project: SEALS
• Sensor Data and Low-Cost Participation
  Traditional approaches to in-the-field environmental monitoring have two major drawbacks: the density and resolution of the collected data can be sparse especially during anomalous (critical) events such as floods and continuing droughts; secondly, it promotes a passive role for the community with regards to understanding the environment, i.e. citizens are traditionally considered consumers of information services at the very end of the information chain. My research interests focus on the development of novel, low-cost monitoring devices and procedures which, when used in larger numbers and at a wider range of locations than traditional (more expensive, geographically static) devices, help to counter these two issues.
  Funded Project: WeSenseIt
• Energy Consumption Analysis and Literacy
  There is an increasing social and political focus on the environmental and economic impact of energy consumption. There are specific efforts to reduce both industrial and domestic carbon emissions as well as address the growing incidence of fuel-poverty. My interests focus on energy-use monitoring, its analysis and subsequent use in energy consumption visualisation with the ultimate aim of increasing energy literacy which, in turn, can help reduce CO2 emissions and alleviate fuel poverty.
  Funded Project: EIDC
• Multimodal data
  It is increasingly common for events and environments to be recorded using multiple microphones situated in spatially distinct locations (e.g., meetings, music sessions, wearable devices, etc.). Such multichannel audio recordings, while providing a rich source of information, pose significant processing challenges; for example, people need to access (both actively and passively) live and archived multichannel recordings in an efficient manner. I am interested in developing means of presenting audio as a concurrent task which maximises task efficiency and improves the perception of ‘presence’. I also have interests in interfaces to such audio streams which automatically monitor and signal the user to interesting topics or regions. I am also interested in how large amounts of such data, some of which may be streaming, are stored and subsequently accessed/processed.
  Funded Projects: M4, AMI, AMIDA