Colloquia are 11.30-12.30pm Fridays during term time (40 mins talk + 20 mins questions).
Venue: School of Computing Staff Room (Level 9 EC Stoner)
Fri 13 Nov Cancelled
Fri 20 Nov Martin Dyer, Algorithms and Complexity Research Theme
Title: Random regular graphs and peer-to-peer networks
Abstract: Random regular graphs have been proposed as a topology for peer-to-peer networks. A useful property for such networks is to be “self-organising”, in the sense that they retain their properties as clients join and leave the network. We will discuss Markov chain approaches to the construction and maintenance of these networks.
Fri 27 Nov Hamish Carr, Computational Science and Engineering Research Theme
Title: Parallelising Contour Tree Computation
Abstract: Topological analysis is now firmly established as a technique for analysis and visualisation of scalar fields, especially in the form of the contour tree and related merge tree. Although distributed algorithms exist for computing it, these are limited by the need to store the entire tree on the master node. Moreover, these trees capture global properties of the data rather than merely local properties, which makes management of communication between nodes difficult. One way around this is to redefine the computation in fundamentally parallel terms under an SMP model, then build hybrid parallel-distributed computations for scalability. I will report on some recent approaches to this problem.
Fri 4 Dec Shiroq Al-Megren, Computational Science and Engineering Research Theme
Title: Comparing Tangible and Multi-touch Interaction for Interactive Data Visualization Tasks
Abstract: Interactive visualization plays a key role in the analysis of large datasets. It can help users to explore data, investigate hypotheses and find patterns. The easier and more tangible the interaction, the more likely it is to enhance understanding. This paper presents a tabletop Tangible User Interface (TUI) for interactive data visualization and offers two main contributions. First, we highlight the functional requirements for a data visualization interface and present a tabletop TUI that combines tangible objects with multi-touch interaction. Second, we compare the performance of the tabletop TUI and a multi-touch interface. The results show that participants found patterns faster with the TUI. This was due to the fact that they adopted a more effective strategy using the tabletop TUI than the multi-touch interface.
Fri 11 Dec Matthew Benatan, Artificial Intelligence Research Theme
Title: Speech Audio Processing for Multimedia Localisation Workflows
Abstract: This talk will discuss my PhD work towards the development of workflow solutions for broadcast media post-production processes, with a focus on a novel approach for speech detection within film audio and low-resource, language-independent speech-to-transcript alignment.