ICT Early Career Researcher Workshop, Oxford 2014
February 2014
EPSRC’s Information and Communication Technologies (ICT) Theme held this workshop as part of its on-going commitment to support the development of early career researchers.
The two-day workshop provided a forum for early career researchers from across the ICT research landscape to engage with academic mentors, guest speakers and EPSRC staff. Workshop sessions provided advice on funding opportunities and career development, networking activities and discussions on the impact of ICT research, responsible innovation and the development of strategies to benefit UK ICT research.
Prior to the workshop, participants were invited to provide a short title and longer description answering the question:
"Which research topic in ICT is currently of greatest interest to you?"
Participants were then invited to sort the resulting topics into coherent groups. These groups are shown below, with the colours used to refer to them at the meeting. To see the longer descriptions for any coloured area, or the researchers who were interested in the topics within, simply click on it.
Blue Group
| Group Members | Description |
|---|---|
| Medical Image Analysis and Computation | Using computational techniques to understand the content of medical imaging data, to detect abnormalities, to assist diagnosis and treatment planning, and hopefully to predict clinical outcome. |
| Medical Image Computing | My research topic focuses on anatomical shape modelling for image guided surgical intervention. In particular, I am using medical images to develop geometric and motion models of anatomy for improved navigation in minimally invasive surgery. |
| Dense 3D Reconstruction for Medical Applications | The ability to reconstruct accurate 3D models of physical objects in real-time enables exciting applications for medical augmented reality. |
| Biomedical signal processing | My research area lies on the synergy of digital biomedical signal processing and machine learning. I am interested in automatic detection of knee disease (osteoarthritis) by developing methods for multimodal signal analysis and machine learning. |
| Biological Informatics -Computational Neuroscience | Computational neuroscience is a highly interdisciplinary science that studies brain function and behaviour through modelling and analysis, in terms of neural information processing. It is also classified under EPSRC's Biomedical Neuroscience. |
| Tracking objects in video sequences | I am interested in applying image processing techniques to following moving objects in complex visual scenes: following cars moving on busy junctions, farm animals roaming, workers at construction sites, etc. |
Suggested Name:
Image Processing Applications