Workshop on Meta Transfer of Knowledge: Challenges in Transfer of Knowledge in Industry - Academia Projects (MToK 2012), Bournemouth, UK

Event Date: 
19 Apr 2012 (All day) - 20 Apr 2012 (All day)

Workshop on Meta Transfer of Knowledge

Challenges in Transfer of Knowledge in Industry - Academia Projects (MToK 2012)

co-located with the International Conference on Innovation through Knowledge Transfer (InnovationKT-2012)

Bournemouth UK, 19-20 April 2012

INFER is a major EU-funded project (www.infer.eu) involving academic and industrial partners from three European countries (Germany, Poland and United Kingdom). The programme offers project participants the opportunity to move between sectors and country in order to provide, absorb and implement new knowledge in a professional industrial-academic environment. The workshop will allow conference delegates to benefit from experiences that have been gained in knowledge transfer, knowledge exchange and knowledge sharing, during the progress of the INFER and other similar projects.

The goal of the workshop is to share the knowledge about the most effective transfer of knowledge activities that can and have been organised especially in large international projects such as those carried out within EC “People” Industry-Academia Partnerships and Pathways (IAPP) programme. Such projects are of particular interest to this workshop as their aim is to stimulate intersectoral mobility and increase knowledge sharing through joint research partnerships in longer term co-operation programmes between organisations from academia and industry where effective knowledge transfer is critical to the success of the projects.

As the transfer of knowledge mechanisms can be observed in all areas where the cooperation between academia and industry exists, we aim to foster and develop sustainable collaborations between people who are interested in continuous development of these mechanisms and improvement of their efficiency. This will give the opportunity to push further the discussion upon the potential of Transfer of Knowledge phenomena across different communities.

Topics of interest

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

• Knowledge transfer opportunities for academia and industry in the context of international projects (e.g. FP7 IAPP projects).

• Case studies of successful knowledge transfer projects

• The outcomes and results of knowledge transfer within international projects

• Management of knowledge transfer in the international projects

• Examples of best practice in respect of knowledge transfer from practitioners

• Development of knowledge transfer policy

• International spin-out companies created as a result of industry-academia projects

• Incubators and entrepreneur schemes

• University-industry contracts and consultancy

• Licensing of university-originated intellectual property

Important Dates

Submission of Papers: 1 December 2011  31 January.2012 Still Open

Notification of Acceptance: 21 February 2012

Early Registration Deadline: 28 February 2012

Upload of Final Abstracts to Appear in Programme: 14 March 2012

Conference: 19-20 April 2012 For more information about submission of the papers please see: http://inkt12.innovationkt.org/submission.php

Organization Committee

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

Katarzyna Musial, Bournemouth University, UK, kmusial@bournemouth.ac.uk

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

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: (Extended) 1 July 2012

Notification of Acceptance: 15 July 2012

Camera-Ready submission of Papers: 25 July 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

INFER Workshop on Meta-learning for Complex, Adaptive Prediction Systems

Meta-learning for Complex, Adaptive Prediction Systems

Workshop constituting a part of the INFER project Mid-term review

Main Auditorium of the Wroclaw Congress Center which is linked to Hala Stulecia, Wystawowa 1, 51-618 Wrocław, Poland

26 April, 2012 

 

The goal of the workshop is to bring together researchers and practitioners to discuss advances andchallenges in meta learning while designing and building complex adaptive prediction systems. The workshop features 2 invited talks and a panel discussion.

 

Confirmed invited speakers:

Prof. Włodzisław Duch, Nicolaus Copernicus University, Torun, Poland
Dr Norbert Jankowski, Nicolaus Copernicus University, Torun, Poland
Dr Carlos Soares, University of Porto, Porto, Portugal

 

AGENDA:

9:00 - 9:15 Introduction to the open workshop on "Meta-learning for Complex, Adaptive Prediction Systems" by Prof. Bogdan Gabrys

9:15 - 10.15 "Meta-learning as intelligent searching through model space", invited talk by Dr Norbert Jankowski and Prof. Włodzisław Duch

10.15 - 11.15 "Meta-learning for model management", invited talk by Dr Carlos Soares

11.15 - 11.30 Coffee break

11.30 - 13.00 Panel discussion - "The role and need for Meta-learning in Complex, Adaptive Prediction Systems" moderated by Prof. Bogdan Gabrys

13:00 – 14:00 Lunch

New INFER team members recruited

Three new INFER team members have been recruited:

1. Lecturer, Dr Frederic Stahl, who joined in February 2012,

2. Senior Lecturer, Dr Hamid Bouchachia, who joined in April 2012,

3. Lecturer in Computational Neuroscience, Dr Emilio Balaguer-Ballester, who joined in April 2012.

New PhD students recruited

Two new PhD students have been recruited:

1. Mr Manuel Martin Salvador, who joined in January 2012,

2. Mr Rashid Bakirov, who joined in April 2012.

Fully funded PhD research studentships

 

We are pleased to announce 2 fully funded PhD research studentships related to the projects:

 

Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems

This PhD project, while fully funded by the Bournemouth University, will be executed in the framework of the INFER project.

Full text of the advert can be downloaded from here.

More information and the link to the application procedure is available here.

 

Visual Analytics for Evolving Prediction Systems

This PhD project, while fully funded by the Bournemouth University, will be executed in the framework of the INFER project.

Full text of the advert can be downloaded from here.

More information and the link to the application procedure is available here.

INFER Job Opportunity

 

The INFER consortium is pleased to announce a job opening related to the project:

 

Marie Curie Senior Research Fellow (Fixed term), Ref: DEV/INF/002/12

Salary circa €38,879 per annum (less appropriate deductions) + travel, mobility and career development allowances (18 months fixed term appointment) 

You will develop software and conduct research in the area of novel human-machine interfaces and pervasively adaptive software systems in the context of software development methodologies and architectures for continuously learning predictive systems within the European project on Computational Intelligence Platform for Evolving and Robust Predictive Systems (INFER).

We are seeking an Experienced Research Fellow to work on an exciting project entitled "Computational Intelligence Platform for Evolving and Robust Predictive Systems (INFER)" funded by the European Commission within the Marie Curie Industry Academia Partnerships and Pathways (IAPP) scheme. This is a collaborative project between Bournemouth University from UK, Evonik Industries from Germany and Research & Engineering Center from Poland.

The INFER project research programme focuses on pervasively adaptive software systems for the development of an open, modular software platform for predictive modelling applicable in different industries and a next generation of adaptive soft sensors for on-line prediction, monitoring and control in the process industry. One of the main goals of the project is the promotion of a paradigm shift from human labour and knowledge intensive processes of building predictive systems to autonomous, evolving complex systems.

The Fellow will be joining the Research & Engineering Center and will be primarily based in Wroclaw, Poland but will also be required to visit and work with the academic partner in UK and industrial partner in Germany which provides an outstanding opportunity to gain a diverse experience of both academic and commercial environments.

Applicants should have a strong analytical background and have at least four years of experience (or hold a Doctorate) in designing novel human-machine interfaces. 

Candidates should also have very strong programming skills using Java and a range of modern technologies for realising rich graphical user interfaces (including web-based or remote interfaces). Proficiency in or at least working knowledge of any or the combination of Eclipse, Eclipse GMP, JFace, RAP, Swing would be an advantage.

The applicant should satisfy eligibility for Experienced Researchers as defined by the EC. They must, at the time of the recruitment, have between 4 to 10 years of full time research experience (possession of a doctoral degree is optional). Additionally, eligible researchers must not have resided or carried out their main activity (work, studies, etc) in Poland for more than 12 months, in the 3 years immediately prior to the date of selection.

When applying please attach a cover letter explaining your current interests and relevant background to this project, your full curriculum vitae, a list of your publications and a list of the software projects you have been involved in together with a clear statement of your role in each of the projects. Please send your application to: careers@rec-global.com quoting the job reference number: DEV/INF/002/12

Full text of the advert can be downloaded from here.

 

The 2nd International Workshop on Handling Concept Drift in Adaptive Information Systems @ ICDM'11, Vancouver, Canada

Event Date: 
10 Dec 2011 (All day)

The 2nd International Workshop on Handling Concept Drift in Adaptive Information Systems

HaCDAIS workshop @ ICDM'11

Vancouver Canada, 10 December 2011

In this workshop aims to attract researchers with an interest in adaptive learning, handling concept drift and recurring contexts in adaptive information systems. Prospective contributors are encouraged to submit full (8 pages) or short (5 pages) papers.

Important dates:

Submissions due:    July 23, 2011
Author Notification:  September 20, 2011
Final Papers due:    October 11, 2011
Workshop:     December 10, 2011

Co-chairs: Latifur Khan (University of Texas at Dallas, USA), Mykola Pechenizkiy (Eindhoven University of Technology, the Netherlands), Indrė Žliobaitė (Bournemouth University, UK).

 

For more information visit hacdais2011.

Special Session on Computational Swarm Intelligence (CSI 2011) at the 3rd International Conference on Computational Collective Intelligence, Gydnia, Poland

Event Date: 
21 Sep 2011 (All day) - 23 Sep 2011 (All day)

Discovering Relationships in Data

Special Session on Computational Swarm Intelligence (CSI 2011) at the 3rd International Conference on Computational Collective Intelligence

Gdynia Poland, 21-23 September 2011

Computational Swarm Intelligence algorithms, often inspired by communication and interaction between social agents such as ants or bees, play important role in Artificial Intelligence. Different learning and adaptive mechanisms incorporated in these techniques (applied in real-world applications), are the research area that currently becomes the main field of Computational Collective Intelligence. The session will gather experts in adjacent and seemingly related fields of: (i) Ant Colony Optimization, (ii) Artificial Life, (iii) Artificial Bee Colony, (iv) Particle Swarm Optimization, (v) Multi-agent systems, (vi) Differential Evolution, (vii) Simulated Annealing, (viii) Information Theoretic Learning.

Important dates:

Submission of papers: March 31, 2011
Notification of acceptance: April 30, 2011
Camera ready papers submission: May 15, 2011
Conference: September 21-23, 2011

Co-chairs: Dr hab. Urszula Boryczka Institute of Computer Science, University of Silesia, Sosnowiec, Poland; Dr hab. Mariusz Boryczka Institute of Computer Science, University of Silesia, Sosnowiec, Poland; Dr. Marcin Budka Smart Technology Research Centre, Computational Intelligence Research Group, School of Design, Engineering & Computing, Bournemouth University, Poole, United Kingdom; Dr Katarzyna Musial, Smart Technology Research Centre, Computational Intelligence Research Group, School of Design, Engineering & Computing, Bournemouth University, Poole, United Kingdom; Dr. Radomil Matoušek, Institute of Automation and Computer Science, Dept. of Applied Computer Science, University of Technology Brno, Czech Republic

For more information see http://iccci2011.am.gdynia.pl/?q=csi

INFER Workshop on Adaptive Prediction Systems

INFER Workshop on Adaptive Prediction Systems - APS'11

Workshop constituting a part of the INFER project Annual Meeting

Room K101, Kimmeridge House, Talbot Campus, Bournemouth University, UK

4 August, 2011 

 

The goal of the workshop is to bring together researchers and practitioners to discuss advances and challenges in designing and building adaptive prediction systems. The workshop features 4 invited talks and a panel discussion.

 

Confirmed invited speakers:

Dr João Gama, University of Porto, Portugal
Dr Rogerio de Lemos, University of Kent, UK
Albert Bifet, University of Waikato, New Zealand

 

AGENDA:

9.40 – 9.55 Welcome coffee

9.55 – 10.00 Introduction

10.00 – 10.45 Prof. Bogdan Gabrys (Bournemouth University, UK); Building Robust and Adaptive Predictive Systems Moving away from engineering maxim of “simple is beautiful” towards biological statement of “complexity is not a problem” SLIDES

10.45 – 11.15 Break

11.15 – 12.00 Dr João Gama (University of Porto, Portugal); Challenges and issues in learning from data streams SLIDES 

12.00 – 13.00 Lunch

13.00 – 13.45 Dr Rogerio de Lemos (University of Kent, UK); Architecting Resilience in Self-Adaptive Software Systems SLIDES

13.45 – 14.15 Break

14.15 – 15.00 Dr Albert Bifet (University of Waikato, New Zealand); MOA: a Real-time Analytics Open Source Framework SLIDES

15.00 – 15.30 Coffee Break

15.30 – 17.00 Panel/round table discussion SUMMARY

 

All staff is welcome. For more information and to register for the event please follow the link: http://www.bournemouth.ac.uk/staff_development/Programmes/infer/infer.html

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