New Opportunities in Signal Processing: Call for Expressions of Interest
07-08 February 2017
Mercure Holland House Hotel, Bristol
EPSRC is holding a two-day workshop on New Opportunities in Signal Processing as discussions with the community have indicated that new developments have the potential both to influence novel research in signal processing as well as in its applications.
The workshop will be multidisciplinary with the aim of bringing together researchers in signal processing, the disciplines that feed into that research area and the application domains to which signal processing can be applied.
What is Signal Processing?
Signal Processing is the theory, algorithms and architectures for processing data and signals and the information they carry (audio, video, image, speech, communication, sonar, radar, medical, sensor, graph signals, big data) for applications across science, technology and media. It includes the theory and techniques concerned with detection, estimation, coding, transmission, enhancement, analysis, representation, recording, reconstruction, transformation and interpretation of signals, data and information.
Over the last five years EPSRC support for this research area has grown. However the focus seems to have narrowed. There is a well-coordinated activity in the defence sector resulting from the investment in 2013 in the £6 million University Defence Research Consortia. This means that whilst the priorities for defence-related research in this area have been the subject of scrutiny there has been no equivalent exploration of the opportunities outside of defence. For example the industrial and societal challenges in a variety of other sectors, including health, autonomous systems, robotics, and the creative industries. Outside of ICT there need to be links with other academic domains and there are opportunities for researchers to exploit techniques emerging from areas such as mathematical sciences, machine learning and data science which could have an impact in signal processing.
The workshop will bring together researchers in this area in order to identify
- the new opportunities in Digital Signal Processing arising from:
- developments in other disciplines, such as mathematical sciences, that could be applied to DSP
- development in technologies that open up new application domains but whose deployment depends on novel signal processing solutions; and
- the strategies and priorities for researchers addressing the civil aspects of DSP, including meeting development opportunities offered by the Global Challenge Research Fund.
We are looking for participants who can contribute to a range of topics including (but not restricted to):
- Communications signal processing in particular in relation to the Internet of Things, 5G and beyond
- Mathematics and statistics
- Data science (including formation and enhancement, representation and modelling, and, understanding from data)
- Machine learning
- Image processing and computer vision
- Visualisation and immersive technologies
- Psychoacoustic and visual perception
- audio (music, speech, environmental)
We will also be looking for participants with connections to application domains, particularly where those challenges require new solutions. These could include, but again are not limited to:
- Healthcare (biostatistics, processing of medical data, data from sensors)
- Earth sciences and remote sensing
- Robotics and autonomous systems
There will be an opportunity for participants to showcase relevant research in a poster session.
The output will be a published report which will highlight the research opportunities to the broader community.
Applying to Attend and Selection Procedure
Those wishing to attend the workshop should complete the short Expression of Interest (EoI) form on this page. This will be used to select participants based on their ability and willingness to contribute to the discussion as described in their EoI submission. In addition, EPSRC will also be seeking to ensure a balanced representation of organisation, expertise and career stages from both the academic and user communities.
Expressions of interest will need to address the following points:
- Your research area.
- How will your research contribute to future research in signal processing?
- A list of the possible application domains for your research. This should not be limited to industrial sectors or commercial exploitation but should also address, where appropriate, other academic disciplines, applications and third sector, et cetera. This will include indications of where link already exist
- What other disciplines or knowledge would you need to involve in order to realise your ideas?
- What research would you like to highlight in a poster at the workshop?
- A short biography that includes your wider research interests
Places are limited and the number of participants from a given organisation may have to be restricted in the event of multiple applications.
All submissions should be sent using the form on this page. The deadline for submissions is 21 October 2016. Applications will not be accepted after this deadline.
Successful applicants will be notified in the week commencing 28 November 2016.
EPSRC’s decision on attendance is final and feedback will not be given to unsuccessful applicants.
EPSRC will be covering the cost of accommodation during the workshop. However, expenses for travel and subsistence incurred by participants will not be covered by EPSRC.
Location and Date
The workshop will take place from 10:00 on Tuesday 07 February to 12:30 on Wednesday 08 February 2017 at the Mercure Holland House Hotel, Bristol.
An application will be considered confirmation of availability on this date and a commitment to attend if selected. Full details of the venue and agenda will be made available to the selected participants.
Support for people with caring responsibilities
As this is a two-day event we understand that some people with caring responsibilities may be put off from applying. EPSRC is committed to attracting the best potential researchers from a diverse populations and so where participation might involve additional care requirements there may be support available. Details will be supplied to successful applicants on request.
For general enquiries please contact
Email: ICT Theme