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Past Centre Seminars/Talks

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  • To perform complex tasks, RDF Stream Processing Web applications evaluate continuous queries over streams and quasi-static (background) data. While the former are pushed in the application, the latter are continuously retrieved from the sources.
    Speaker
    Name:
    Soheila Dehghanzadeh
    Institution:
    Seminar Details
    Location:
    NUIG
    Date:
    06/03/2015
  • With the rapid growth of data on the web, a significant number of companies have embraced the idea of open data to enable innovation, generate revenue and develop new data products and services.
    Speaker
    Name:
    Fatemeh Ahmadi-Zeleti
    Bio:
    Fatemeh Ahmadi is a researcher in e-Government unit at Insight Centre for Data Analytics, National University of Ireland, Galway. At Insight Centre for Data Analytics, her research addresses the problems exist in Open Data Business Models and value capabilities.
    Seminar Details
    Location:
    NUIG
    Date:
    27/02/2015
  • Heterogeneous volume modelling is a new and quickly developing research area, which deals with many different aspects of a volumetric object, such as its outer shape, its general functionality, its internal structure, an ability to move and to interact with its environment.
    Speaker
    Name:
    Prof Alexander Pasko
    Bio:
    Alexander Pasko is a professor at The National Centre for Computer Animation, Bournemouth University in the UK and the board chairman of the Uformia AS company in Norway.
    Seminar Details
    Location:
    UCD
    Date:
    02/03/2015
  • The collection and analysis of data about individuals has changed dramatically over the past 50 years.
    Speaker
    Name:
    Padhraic Smyth
    Bio:
    Padhraic Smyth is a Professor at the University of California, Irvine, in the Department of Computer Science with a joint appointment in Statistics, and is also Director of the newly founded Data Science Initiative at UC Irvine.
    Institution:
    University of California, Irvine
    Seminar Details
    Location:
    UCD
    Date:
    20/03/2015
  • We introduce a new way to describe a large family of global constraints over time-series data. These constraints describe various features of the time series, like the number of peaks, or the steepest ascent, which together characterise the time-series. Those features often are linked to physical limits of the generator of the series, for example a power plant, or a data sensor.
    Speaker
    Name:
    Helmut Simonis
    Bio:
    Researcher at Insight Centre for Data Analytics
    Seminar Details
    Location:
    UCC
    Date:
    18/02/2015
  • Genetic Improvement (GI) is a form of Genetic Programming that improves an existing program. We use GI to evolve a faster version of a C++ program, a Boolean satisfiability (SAT) solver called MiniSAT, specialising it for a particular problem class, namely Combinatorial Interaction Testing (CIT), using automated code transplantation.
    Speaker
    Name:
    Justyna Petke
    Bio:
    Research associate at University College London
    Seminar Details
    Location:
    UCC
    Date:
    23/01/2015
  • One month ago, the 12th November 2014, Humanity has made the first landing of a spacecraft on a Comet. What were the context, the motivation and the results ? I will try to present the global mission with specific details and last news about the lander Philae. What did happen during the landing ? Where is the lander now, and what did we discover ?
    Speaker
    Name:
    Gilles Simonin
    Bio:
    Senior Post-Doctoral Researcher in UCC Insight
    Seminar Details
    Location:
    UCC
    Date:
    17/12/2014
  • PCP-nets (Probabilistic CP-nets) generalize CP-nets to model conditional preferences with probabilistic uncertainty. PCP-nets can be used in a multi-agent context to compactly represent a collection of CP-nets, thus using probabilistic uncertainty to reconcile possibly conflicting qualitative preferences expressed by a group of agents.
    Speaker
    Name:
    Cristina Cornelio
    Bio:
    PhD student at the Doctoral School in Mathematical Sciences (Computer Science area) of the University of Padova (Italy), under the supervision of Francesca Rossi and in the research group on Preference Reasoning and Aggregation.
    Seminar Details
    Location:
    UCC
    Date:
    03/12/2014
  • This thesis encourages the use of the CFLP(FD) paradigm for tackling real-life Constraint Satisfaction and Optimization Problems. To do so it focuses on the system TOY(FD). The first part of the research improves the solving performance of TOY(FD) by interfacing the C++ CP(FD) solvers of Gecode and ILOG Solver, and by enhancing the language for a better specification of ad-hoc search strategies.
    Speaker
    Name:
    Ignacio Castineiras
    Bio:
    Post-Doctoral Researcher in UCC Insight
    Seminar Details
    Location:
    UCC
    Date:
    26/11/2014
  • Some problems require solutions that “look random”, with no apparent patterns and perhaps passing statistical tests of randomness. The reason could be to avoid statistical bias, to avoid detection, or to behave unpredictably. Based on ideas from data compression and algorithmic information theory, we propose “entropy constraint” to allow only solutions with few or no discernible patterns.
    Speaker
    Name:
    Steve Prestwich
    Bio:
    Lecturer in UCC Insight
    Seminar Details
    Location:
    UCC
    Date:
    25/11/2014

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