Dean, Research & Innovation
+44 7594 818718
Kerracher, N. Tasks and visual techniques for the exploration of temporal graph data. (Thesis)
This thesis considers the tasks involved in exploratory analysis of temporal graph data, and the visual techniques which are able to support these tasks.
There has been an e...
Kerracher, N., & Kennedy, J. (2019). Constructing and Evaluating Visualisation Task Classifications: Process and Considerations. Computer Graphics Forum, 36(3), 47-59. https://doi.org/10.1111/cgf.13167
Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been develo...
Stapleton, G., Chapman, P., Rodgers, P., Touloumis, A., Blake, A., & Delaney, A. (2019). The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers. PLOS ONE, 14(3), https://doi.org/10.1371/journal.pone.0211234
This paper presents the first empirical investigation that compares Euler and linear diagrams when they are used to represent set cardinality. A common approach is to use area...
Language generation (LG) is a crucial technology if machines are to communicate with humans seamlessly using human natural language. A great number of different tasks within Natural Language Processin...
To optimise the ZoneFox product through the development and incorporation of effective information visualisation tools for
generating insight through visual exploration and discovery of relationships ...
Scottish Funding Council
The solution for the synchronisation issue was to include a simultaneous animation of the journey and the weather data. This provided an intuitive visualisation of two independent sets of data.
2484,0131 651 4884
Professor of Data Science and Intelligent Systems
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., …Liotta, A. (2019). Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217
The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data ...
Vogogias, A., Kennedy, J., Archambault, D., Bach, B., Smith, V. A., & Currant, H. (2018). BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM transactions on intelligent systems and technology, 10(1), 1-23. https://doi.org/10.1145/3230623
We address the problem of exploring, combining and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. In th...
van der Lee, T., Liotta, A., & Exarchakos, G. (2019). Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014
• This study presents the complete and slotted interference graph model.
• The service uses the complete interference graph to evaluate the network.
• Slotted int...
Koniaris, B., Kosek, M., Sinclair, D., & Mitchell, K. (2018). GPU-accelerated depth codec for real-time, high-quality light field reconstruction. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 1(1), 1-15. doi:10.1145/3203193
Pre-calculated depth information is essential for efficient light field video rendering, due to the prohibitive cost of depth estimation from color when real-time performance ...
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018). Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-04316-3
Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from ...
Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019). An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169
Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and t...
Calian, D. A., Lalonde, J., Gotardo, P., Simon, T., Matthews, I., & Mitchell, K. (2018). From Faces to Outdoor Light Probes. Computer Graphics Forum, 37(2), 51-61. doi:10.1111/cgf.13341
Image‐based lighting has allowed the creation of photo‐realistic computer‐generated content. However, it requires the accurate capture of the illumination conditions, a task n...
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019). On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219
Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the ...
Pan, Y., Sinclair, D., & Mitchell, K. (2018). Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment. Computer Animation and Virtual Worlds, 29(3-4), e1838. https://doi.org/10.1002/cav.1838
We present several mixed‐reality‐based remote collaboration settings by using consumer head‐mounted displays. We investigated how two people are able to work together in these...
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018). A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869
Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but als...
Koniaris, C., Kosek, M., Sinclair, D., & Mitchell, K. (2019). Compressed Animated Light Fields with Real-time View-dependent Reconstruction. IEEE Transactions on Visualization and Computer Graphics, 25(4), 1666-1680. https://doi.org/10.1109/tvcg.2018.2818156
We propose an end-to-end solution for presenting movie quality animated graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion....
Engineering and Physical Sciences Research Council
Ontologies are a way of reasoning about data in an efficient manner. Ontologies are increasingly prevalent in a range of applications, including the Semantic Web, medicine and law. The development and...
The DISTRO network brings together leading laboratories in Visual Computing and 3D Computer Graphics research across Europe with the aim of training a new generation of scientists, technologists, and ...
To analyse in game communications to predict engagement of players.
A prototype visualisation was built using D3-based libraries on top of a supplied data set (which in essence was a data cube). This was then connected to an R-based statistical service which allowed a...
Successful completion of project. Deliverable of demonstrative prototype for showing visual inter-relationships of policies, roles and data access achieved and integrated into SymphonicTrust's product...
A prototype visualisation which demonstrated the advantages of dynamic representations of genomes over standard static diagrams was developed. This used the d3 library to allow interactive layering of...
The creation of a ‘software-as-a-service’ product to allow Client companies, or their agents, to improve their ‘Propositions’ – their own commercial offers; this is done by removing the need for ‘twea...
Biotechnology and Biological Sciences Research Council
Biology is a visually grounded scientific discipline-from the way data is collected and analysed to the manner in which the results are communicated to others. Traditionally pictures in scientific pub...
Scottish Woodlands Ltd is Scotland's leading independent full-service forest management company. It is also the second largest operator in the UK, with a network of 17 offices operating throughout Sco...
FOCAS is a coordination action in the area of collective adaptive systems. It provides increased visibility to the research carried out by projects funded by the FOCAS FET Proactive Initiative and oth...
Ubiquitous Computing promises to enrich our everyday lives by enabling the environment to be enhanced via compu...
The necessity for scientists and others to use consistent terminology has recently been regarded as fundamental to advancing ...
Augmented Reality (AR) aims to extend the physical world through virtual content. To perform such addition in an unnoticeable way, a vari...
14:00 in CoRe44, room C44, Merchiston Campus
15 May 2018
16:00 in Core44, room C44, Merchiston campus
1 May 2018
CORE 44, room C44 Merchiston Campus
21 March 2018
G2, Merchiston Campus
18 June 2017
219 Colinton Road
19 April 2017 - 20 April 2017
Core44, room C44, Merchiston campus
1 March 2017