Statistical Signal Processing (SSP) Workshop 2018 at STOR-i, Lancaster University, UK

The STOR-i Centre for Doctoral Training, which is a joint venture of the Operational Research group at the Department of Management Science and the Statistics group at the Department of Mathematics at Lancaster University with strong links to the industry, will be holding a specialist workshop on statistical signal processing.

The need for modern statistical signal processing techniques arises due to the ubiquity of vastly-observed signals across numerous applications. Such techniques commonly encompass aspects of time series analysis, machine learning, stochastic processes, optimisation, and many others. Furthermore, signals are commonly observed jointly, motivating the need for methodology that extends to multivariate and high-dimensional settings.

The main aim of the workshop will be to focus on challenges arising in non-parametric methods for non-stationary and high-dimensional signals, bringing together researchers from a number of distinct but related areas of signal processing to share ideas and foster dialogue.

 

Important Dates

Wednesday 28th February 2018: Abstract submission and student bursary request deadline

Friday 16th March 2018: registration deadline

Thursday 12th - Friday 13th April 2018: Workshop 

 

Invited Speakers

Josiane Zerubia

INRIA, France

 

Andrew Walden

Imperial College, London, UK

 

Peter Schreier

Universität Paderborn, Germany

 

David Simpson

University of Southampton, UK

 

Peter Craigmile

Ohio State University, USA

 

Abstract Submission

We invite researchers and practitioners to present their work on statistical signal processing by submitting an abstract. Please send your name, e-mail, affiliation, title and abstract including a list of co-authors in a one-page PDF format by e-mail to stor-i-ssp@lancaster.ac.uk by Wednesday 28th February 2018. We will aim to accommodate all the accepted abstracts as talks, but some may be accepted as posters.

 

The topics of the workshop include, but are not limited to, the following:

          - multivariate and multiscale signals

          - wavelet and Fourier-based methods

          - signal processing on graphs and networks

          - applications of statistical signal processing

 

Student bursaries

We have limited funding to provide bursaries to UK PhD students to enable them to attend the conference. The bursaries are likely to cover accommodation, travel and workshop fees. If you would like to apply please email stor-i-ssp@lancaster.ac.uk by 28th February 2018 with a description of your current research topic and why the workshop is important to you.

 

Registration

To register, please go to the registration page.

The registration fee is £100 to be paid by Friday 16th March 2018.

Registration for STOR-i students is free, but is required by Friday 9th March 2018 by emailing stor-i-ssp@lancaster.ac.uk.

The conference fee includes access to the workshop presentations, meals and the conference dinner, but you will need to book your own accommodation.

On-campus accommodation can be booked at Lancaster House Hotel or at Lancaster University Visitor Rooms. There are several accommodation options in Lancaster city centre.

 

Programme

The workshop will be held on Thursday 12th and Friday 13th April 2018.

The programme for the workshop is available here: SSP Workshop Programme

 

Programme and Organising Committee

Adam Sykulski

Matt Nunes

Rebecca Killick

Ed Cohen

 

Location

Postgraduate Statistics Centre

Lancaster University

Lancaster

United Kingdom

LA1 4YF