Category / Computer Science

New STRC season seminar : “Introduction to System Testing” (22nd of August 16h at Lawrence Lecture Theatre)

It is my pleasure to kindly announce the new season of the Smart Technology Research Center Seminars.

Our first guest will be Mr. Aleksander Badura; which has extensive experience in Software System’s Testing in a wide range of projects within the international company Research & Engineering Center (REC-global).

The talk will take place next Wednesday, the 22nd of August at Lawrence Lecture Theatre at 16:00 h (please click here for a map)

I kindly encourage to researchers and PhD students interested on software systems to attend to this talk; where software systems testing will be analysed from an Industrial perspective.

The title of the talk is “Introduction to System Testing”:

“I will provide an introduction to Software Testing with focusing on Test level or System Test. We will discuss how testing within a project Life Cycle is planned and performed. To conclude I will provide an example of testing within INFER project”

Best Wishes, Emili

Emili Balaguer-Ballester, PhD

SMART Technology Research Center, School of Engineering & Computing, Bournemouth University

Center for Computational Neuroscience, University of Heidelberg

Visit and STRC seminar not to miss next Tuesday: Image and Signal Processing Group of University of Valencia (26th June at 15h 30’ in PG16)

Dear Colleagues,
I would like to draw your attention to the visit of two members and a postdoc researcher of the Image and Signal Processing Group of University of Valencia, Spain.
This group is very influential in several areas like for instance Image Processing (in Geosciences, Medical Brain Imaging, etc.) and Kernel Machines; and they will be in Talbot Campus just for one day.
They will deliver a couple of short talks and after that they will stay for an hour for discussing ideas or future plans with anybody interested in BU.
The special seminar will take place next Tuesday, the 26th of June in PG 16 Lecture Theatre at 15:30 h (Ground floor, Poole House)
After that, you are very welcome to join us in an informal Discussion Panel from 16h 30’ to 17h 15’ approx.
I would like to encourage DEC PhD researchers, senior research fellows and staff to attend; particularly those who work or what to get into image/signal processing and kernel machines because they are leading experts in these areas. Kindly check out, for instance,
http://www.uv.es/gcamps
http://www.uv.es/jmalo/
The agenda of the visit is the following:
• 15h 30’. Short intro by Dr. Malo (Associate Prof): “Research at the Image and Signal Processing Group”. Jesús Malo. A brief overview of our research interests and lines.
• 15h 40’. Short talk by Dr Laparra (Postdoc): “Gaussianization Framework for Signal Processing”
Abstract: We generalize a class of projection pursuit methods to transform arbitrary multidimensional data into multivariate normal data, thus attaining statistical independence of its components. The proposed analysis enables a number of novel ways to solve practical problems in high-dimensional scenarios, such as those encountered in image processing, speech recognition, array processing, or bioinformatics. Our framework extends Independent and Principal Components Analyses-based methods, which are typically not applicable to data generated from nonlinear, non-independent or non-Gaussian sources. The performance is successfully illustrated in a number of multidimensional data processing problems such as image synthesis, classification, saliency analysis, and de-noising.
• 16h. Short talk by Dr. Camps (Associate Prof): “Extended Kernel Methods”.
Abstract: I will talk about our love story with kernel methods for the last 10 years. Kernel methods constitute a simple way of translating linear algorithms into nonlinear ones. I will revise several interesting developments for 1) time series analysis, regression and function approximation; 2) classification problems; 3) nonlinear feature extraction; and 4) dependence estimation. The introduced methods extend previous standard algorithms to deal with non-stationary environments and structured domains, and the presence of non-Gaussian noise. Additionally, I’ll briefly talk about a way to learn the kernel function directly from the data via clustering or graphs. Examples in signal and image processing will guide this overview.
• 16h 25’. Discussion Panel.
Please, feel free to show up or leave any time during this event on your convenience. I hope you consider this program attractive and that you find a slot to come in.
Best Wishes, Emili

Talk on Software Platforms for Evolving Predictive Systems, wednesday 13th June 14:00, Lawrence Lecture Theatre

Our next external speaker of the STRC seminar series will be Mr . Tobiasz Dworak. The talk will take place on Wednesday, 13th of June in Lawrence Lecture Theatre at 14:00 h
Tobiasz is a highly experience Project Manager and Software Developer in the International Company Research & Engineering Center (REC-global)
I think that those of you involved in software design and development would like to hear this Seminar.
The title of the talk is: “Current state of INFER platform software. (Hands on demo)”
“I will be presenting current state of the INFER (Computational Intelligence Platform for Evolving and Robust Predictive Systems) software with emphasis on new model of predictive elements. Additionally I’ll draft further of INFER core and present live demo of the software. Open discussion will take part after the presentation. I’d like to hear wishes from all potential users of INFER”.
Best Wishes, Emili

Introduction to Adaptive Learning from Streaming Data by Dr Zliobaite, Wednesday 30th of May:

Kindly announce that our next speaker of the STRC seminar series will be Dr Indrė Žliobaitė. The talk will take place next Wednesday, 30th of May in Lawrence Lecture Theatre at 16:00 h (please click for a map)

Indrė (Lecturer in BU as most of us know) will present novel angles of her work in a highly didactic fashion. She will talk about an exciting topic, strategies for predicting streaming data. This is particularly attractive for instance for those of us involved in projects in real-time industrial settings.

Please feel free to show up if you like it regardless you background!

The talk title is:

“Introduction to Adaptive Learning from Streaming Data”

Short description:

Changing data over time presents one of the major challenges in predictive modelling applications, for example automated movie recommendation, bankruptcy prediction, spam categorization, food sales prediction and many more. In such situations predictive models need to have mechanisms to update or retrain themselves using recent data, otherwise they will quickly lose accuracy. This talk will give an introductory overview of settings and algorithms for adaptive predictive modelling.

Best Wishes, Emili

Interesting Talk Next Wednesday: Evolving Simple and Complex Structures To Combine Predictors

Our next speaker of the STRC seminar series will be Dr Athanasios Tsakonas. The talk will take place next Wednesday, 23rd of May in Lawrence Lecture Theatre at 16:00 h (please click for a map)

In my personal view, this is a very interesting talk for those of us working on any kind of predictive approaches. Please find below more details.

Title:
Evolving Simple and Complex Structures To Combine Predictors

Abstract:
The popularity of ensemble systems in real-world problems is a natural result of their effectiveness for a range of tasks, where single predictors or classifiers can overfit or provide weak solutions. A primary property in ensemble systems, contributing to their ability to generalize better is a combination of individual performances and diversity among individual learners. This lecture presents effective approaches for the generation of multi-level, multi-component combined predictors, through a grammar driven evolutionary framework. Several grammar schemes are presented for the production of hierarchical and fuzzy rule based ensembles. Candidate architectures are investigated in terms of data resampling, and different training approaches are tested, involving ensemble diversity measures

This is a short curriculum of our speaker:

Dr. Athanasios Tsakonas received his M.Eng in Electrical and Computer Engineering from the National Technical University of Athens and his M.Sc. and Ph.D from University of the Aegean. His Ph.D thesis was “Computational Intelligence in Complex Managerial and Financial Domains – The Evolutionary Neural Logic Network Paradigm”. Athanasios has gathered strong experience in the analysis, design and development of specialized computational intelligence systems, with applications in the financial and medical sector. His experience includes participation in European and domestic research projects (such as BOEMIE, SHARE, EUNITE, INFER, etc.), occupation of related research positions in top research centers (such as N.C.S.R. Demokritos) or in the private sector (banks, software development companies, etc.), as well as teaching related courses in universities (Aristotle University of Salonica, Demokritus University of Thrace, etc.). His research interests include computational intelligence, data mining, genetic programming and complex systems. He has published 1 book and more than 45 articles in total, in international scientific journals, conferences, or as book chapters. He is with the Smart Technology Research Centre, Bournemouth University, since January 2011.

Best Wishes, Emili

DEC Post Graduate Researcher Poster Competition

The School of Design, Engineering and Computing is holding its 5th Annual Post Graduate Research Student Poster Competition Conference on Wednesday 23rd May 2012 in the Thomas Hardy Suite.  This event showcases the School’s current PhD research.  Judging will take place in the morning and then the display will be open to all at 14:00 hours. Bournemouth University Board Member, Dr Peter Barnwell MBE will officially open the conference at 14:30 p.m. and will be awarding the prizes for the best posters at approximately 15:00 pm. Students will be there to discuss their research until 16:00 hours.  All staff are welcome.

EPSRC announce call: Working together in ICT

Summary

EPSRC’s ICT Theme intends to commit around £5M of funding for research projects which will directly address its Working Together priority.

Projects submitted in response to this call should comprise two or more ‘streams’ of research which run concurrently and show significant mutual benefit. These streams may include ICT researchers working with researchers in areas outside ICT, as long as the potential benefit to ICT research is the main driver for the project.

Full call document including background, funding available, aims and scope of call, eligibilty, how to apply and assessment can be found here.

Closing date: 16:00 on 10 July 2012

Submitting application

You should prepare and submit your proposal using the Research Councils’ Joint electronic Submission (Je-S) System (https://je-s.rcuk.ac.uk/).

When adding a new proposal, you should select: Council ‘EPSRC’; Document type ‘Standard Proposal’; Scheme ‘Standard Research’; On the Project Details page you should select the ‘Working Together in ICT’ call.

The RKE Operations team can help you with your application.

EPSRC/ESRC Invitation for Outlines: Consortia for Exploratory Research in Security

                                                                                                                                                                                                         

As part of their contribution to the RCUK Global Uncertainties Programme, EPSRC and ESRC are jointly inviting proposals for research consortia (PDF 79KB) to explore current and future cyber security challenges.

CEReS consortia are encouraged to work across or between established disciplines and to draw on expertise from multiple research organisations wherever necessary. They particularly welcome proposals with significant novel mathematics and/or social science content.

Initially, outline proposals will be assessed for their novelty and fit to the aims of the call. Successful outline applicants will be invited to submit full proposals later in 2012.

EPSRC and ESRC have made available up to £4M available to fund full proposals funded through the CEReS call. They expect to support a range of projects which is broad in terms of scale (likely to be between £500k and £1M for each consortium), duration (two to four years), mix of disciplines (with single discipline proposals being the exception rather than the norm) and subject matter (although all must focus on cyber security-related challenges in the broadest sense).  Activities funded through CEReS are limited to those currently allowed on EPSRC grants. As a result they will not be able to accept applications which request funding for PhD studentships, even if they are outside EPSRC’s remit.

CEReS is a call for exploratory research. Consortia should identify ambitious goals with far-reaching impacts on future research and, potentially at least, practice in cyber security. Projects which continue or extend current work in a straightforward or obvious way will not be supported. Collaboration between disciplines is strongly encouraged. Although it is not essential that all projects include cross- or intra-disciplinary working it is likely that the assessment process will select positively for consortia which adopt this approach.

Although it is being managed by EPSRC the CEReS call is also open to researchers eligible to apply for targeted funding from ESRC. There is no quota of applications or funding based on Research Council remits. It is possible for the same researcher(s) to be associated with more than one consortium application.

For further information visit the call website: http://www.epsrc.ac.uk/funding/calls/open/Pages/ceres.aspx and read the call documentation: http://www.epsrc.ac.uk/SiteCollectionDocuments/Calls/2012/CEReSCall.pdf. Outline proposals should be prepared and submitted using the Research Councils’ Joint electronic Submission (JeS) System (https://je-s.rcuk.ac.uk/).

The RKE Operations team can help you with your application.

The closing date is 14 June 2012.

Seminar on Software Design and Research Tomorrow

It is my pleasure to announce the next seminar of the STRC tomorrow, 2nd of May in Lawrence Lecture Theatre at 16:00 h

The program for tomorrow evening is particularly attractive for those of you connected with software research and design in varied industrial settings.
Our speaker this time will be Ms Monika Bedersen, a highly experience Project Manager and developer in EVONIK industries AG since 1986; where she was responsible for the successful completion of very challenging projects; and a nice colleague.
Please feel free to show up any time on your convenience,

Best Wishes, Emili

(ToK Coordinator STRC)

Workshop on Evolving Predictive Systems

Workshop on Evolving Predictive Systems

co-located with the 12th International Conference on Parallel Problem Solving From Nature (PPSN-2012)

September 1-5, 2012

Taormina, Italy

In recent years, the data mining scientific community witnessed a very strong demand for predictive systems that will be able to evolve and adapt. The range of tasks fulfilled by evolving predictive systems is very broad and covering many different application areas. Despite the high number of publications dealing with applications, there are still unaddressed pressing issues of evolving predictive systems design and development, such as complexity analysis, ensemble architectures and meta-learning. This workshop is devoted to the discussion of robust, context aware and easy-to-use evolving predictive systems, which improve, adapt and possibly maintain themselves within their respective environments and constraints.  Contributions presenting recent work on ensemble systems, complexity analysis and meta-learning are particularly welcome.

The workshop addresses people from the scientific IT community who are active in the research domain of data-driven systems capable to adapt to changing situations and environments. The considered approaches can include evolutionary algorithms, other nature-inspired methods or heuristic approaches. Special focus will be put on research dealing with ensemble architectures, as well as with complexity issues (size, form and interpretation of the solution formula, time and algorithm complexity) and meta-learning incorporation.

Researchers are invited to submit original work as papers of not more than 10 pages. Authors are encouraged to submit their papers in LaTeX. Papers must be submitted in Springer Verlag’s LNCS style.

Topics of interest

Topics that are in the area of interest of the workshop include, but are not limited to:

•             Advanced Modelling Techniques for Evolving Predictive Systems
•             Evolving Predictive Ensembles
•             Complexity Analysis for Evolving Predictive Systems
•             Advanced Adaptation Mechanisms
•             Meta-learning
•             Applications

Important Dates

Submission of Papers: 2 April 2012

Notification of Acceptance: 1 June 2012

Camera-Ready submission of Papers: 20 June 2012

Early Registration Deadline: 25 June 2012

Conference: 1-5 September 2012

Papers are submitted by direct email to mailto:atsakonas@bournemouth.ac.uk

Organization Committee

Bogdan Gabrys, Bournemouth University, UK, bgabrys@bournemouth.ac.uk

Athanasios Tsakonas, Bournemouth University, UK, atsakonas@bournemouth.ac.uk

Mailing address: Bournemouth University, Poole House, Talbot Campus, Fern Barrow, Poole, Dorset, BH12 5BB, UK

Using computational intelligence to develop predictive modelling that benefits organisations

Watch this excellent short video from BU’s Professor Bodgan Gabrys on the Computer Intelligence EU grant (INFER project) used to develop predictive modelling that’s applicable to multiple industries.

To see other BU videos on YouTube go to the BU YouTube page!

 

httpv://www.youtube.com/watch?v=8r5zGqCtVSc