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An adaptive approach to better load balancing in a consumer-centric cloud environment (2016)
Journal Article
Liu, Q., Cai, W., Shen, J., Liu, X., & Linge, N. (2016). An adaptive approach to better load balancing in a consumer-centric cloud environment. IEEE Transactions on Consumer Electronics, 62(3), 243-250. https://doi.org/10.1109/tce.2016.7613190

Pay-as-you-consume, as a new type of cloud computing paradigm, has become increasingly popular since a large number of cloud services are gradually opening up to consumers. It gives consumers a great convenience, where users no longer need to buy the... Read More about An adaptive approach to better load balancing in a consumer-centric cloud environment.

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm (2016)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2016, October). Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. Presented at PPSN 2016 14th International Conference on Parallel Problem Solving from Nature

It is well known that in open-ended evolution, the nature of the environment plays in key role in directing evolution. However, in Evolutionary Robotics, it is often unclear exactly how parameterisation of a given environment might influence the emer... Read More about Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm.

Analysing the performance of migrating birds optimisation approaches for large scale continuous problems (2016)
Presentation / Conference Contribution
Lalla-Ruiz, E., Segredo, E., Voss, S., Hart, E., & Paechter, B. (2016, September). Analysing the performance of migrating birds optimisation approaches for large scale continuous problems. Presented at 14th International Conference on Parallel Problem Sol

We present novel algorithmic schemes for dealing with large scale continuous problems. They are based on the recently proposed population-based meta-heuristics Migrating Birds Optimisation (mbo) and Multi-leader Migrating Birds Optimisation (mmbo), t... Read More about Analysing the performance of migrating birds optimisation approaches for large scale continuous problems.

Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment (2016)
Journal Article
Liu, Q., Cai, W., Jin, D., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016). Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment. Sensors, 16(9), 1386. https://doi.org/10.3390/s16091386

Distributed Computing has achieved tremendous development since cloud computing was proposed in 2006, and played a vital role promoting rapid growth of data collecting and analysis models, e.g., Internet of things, Cyber-Physical Systems, Big Data An... Read More about Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment.

Technological support for citizen science in global ecology (2016)
Presentation / Conference Contribution
Davison, B., Begossi, A., Roques, K., Pandeya, B., & August, T. (2016, August). Technological support for citizen science in global ecology. Presented at 5th International EcoSummit: Ecological Sustainability - Engineering Change, Montpelier, France

The contribution of volunteers in ecology is undeniable. With developments in mobile technology and social media, many predict their contribution to become even more significant. However, economic disparities across the world challenge this vision. T... Read More about Technological support for citizen science in global ecology.

TD-ERCS map-based confusion and diffusion of autocorrelated data (2016)
Journal Article
Khan, J. S., Ahmad, J., & Khan, M. A. (2017). TD-ERCS map-based confusion and diffusion of autocorrelated data. Nonlinear Dynamics, 87(1), 93-107. https://doi.org/10.1007/s11071-016-3028-2

In this article, we proposed a new scheme to encrypt highly autocorrelated image pixel data. In existing literature, single substitution was used to break autocorrelation in images. To get better results, instead of single substitution box, some rese... Read More about TD-ERCS map-based confusion and diffusion of autocorrelated data.

Cloud Security, Privacy, and Trust Baselines (2016)
Book Chapter
Pitropakis, N., Katsikas, S., & Lambrinoudakis, C. (2016). Cloud Security, Privacy, and Trust Baselines. In Cloud Computing Security Foundations and Challenges. Boca Raton: CRC Press

According to ISO 27001, a threat is a potential event. When a threat turns into an actual event, it may cause an undesirable incident. It is undesirable because the incident may harm an organization or a system, causing a security incident and/or t... Read More about Cloud Security, Privacy, and Trust Baselines.

25th annual computational neuroscience meeting: CNS-2016 (2016)
Presentation / Conference Contribution
Sharpee, T. O., Destexhe, A., Kawato, M., Sekulić, V., Skinner, F. K., Wόjcik, D. K., …others. (2016). 25th annual computational neuroscience meeting: CNS-2016. BMC Neuroscience, 17(Suppl. 1), 22. https://doi.org/10.1186/s12868-016-0283-6

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variab... Read More about 25th annual computational neuroscience meeting: CNS-2016.

Optogenetics in silicon: A neural processor for predicting optically active neural networks (2016)
Journal Article
Luo, J., Nikolic, K., Evans, B. D., Dong, N., Sun, X., Andras, P., …Degenaar, P. (2017). Optogenetics in silicon: A neural processor for predicting optically active neural networks. IEEE Transactions on Biomedical Circuits and Systems, 11(1), 15-27. htt

We present a reconfigurable neural processor for real-time simulation and prediction of opto-neural behaviour. We combined a detailed Hodgkin-Huxley CA3 neuron integrated with a four-state Channelrhodopsin-2 (ChR2) model into reconfigurable silicon h... Read More about Optogenetics in silicon: A neural processor for predicting optically active neural networks.

A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment (2016)
Journal Article
Liu, Q., Cai, W., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016). A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment. Security and Communication Networks, 9(17), 4002-4012. https://d

A heterogeneous cloud system, for example, a Hadoop 2.6.0 platform, provides distributed but cohesive services with rich features on large-scale management, reliability, and error tolerance. As big data processing is concerned, newly built cloud clus... Read More about A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment.

Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching (2016)
Journal Article
Tran, H., Cambria, E., & Hussain, A. (2016). Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching. Cognitive Computation, 8(6), 1074-1086. https://doi.org/10.1007/s12559-016-9418-4

Background/Introduction Common-sense reasoning is concerned with simulating cognitive human ability to make presumptions about the type and essence of ordinary situations encountered every day. The most popular way to represent common-sense knowledg... Read More about Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching.

Natural Language Generation enhances human decision-making with uncertain information. (2016)
Presentation / Conference Contribution
Gkatzia, D., Lemon, O., & Rieser, V. (2016, August). Natural Language Generation enhances human decision-making with uncertain information. Presented at 54th Annual Meeting of the Association for Computational Linguistics (ACL) Volume 2 (short papers)

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on hu... Read More about Natural Language Generation enhances human decision-making with uncertain information..

The Far Side of Mobile Application Integrated Development Environments (2016)
Presentation / Conference Contribution
Lyvas, C., Pitropakis, N., & Lambrinoudakis, C. (2016). The Far Side of Mobile Application Integrated Development Environments. In S. Katsikas, C. Lambrinoudakis, & S. Furnell (Eds.), Trust, Privacy and Security in Digital Business; Lecture Notes in Compu

Smart phones are, nowadays, a necessity for the vast majority of individuals around the globe. In addition to the ubiquitous computing paradigm supported by such devices, there are numerous software applications that utilize the high computational ca... Read More about The Far Side of Mobile Application Integrated Development Environments.

If two countries waged cyber war on each another, here’s what to expect (2016)
Newspaper / Magazine
Buchanan, B. (2016). If two countries waged cyber war on each another, here’s what to expect. [https://theconversation.com/if-two-countries-waged-cyber-war-on-each-another-heres-what-to-expect-63544]. https://theconversation.com/if-two-countries-waged-c

Imagine you woke up to discover a massive cyber attack on your country. All government data has been destroyed, taking out healthcare records, birth certificates, social care records and so much more. The transport system isn’t working, traffic light... Read More about If two countries waged cyber war on each another, here’s what to expect.

The trade-off between usability and security in the context of eGovernment: a mapping study (2016)
Presentation / Conference Contribution
Alshamsi, A., Williams, N., & Andras, P. (2016). The trade-off between usability and security in the context of eGovernment: a mapping study. In HCI '16: Proceedings of the 30th International BCS Human Computer Interaction Conference: Fusion!. https://do

Most governments implement the latest information communication technology (ICT) to improve the online experience of their citizens and businesses. Governments put great effort into providing user-focused services that are usable, secure and accessib... Read More about The trade-off between usability and security in the context of eGovernment: a mapping study.

DEEPC: Dynamic Energy Profiling of Components (2016)
Presentation / Conference Contribution
Liu, X., Chinenyeze, S. J., & Al-Dubai, A. (2016). DEEPC: Dynamic Energy Profiling of Components. In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC). https://doi.org/10.1109/COMPSAC.2016.90

Many software projects are built using reusable components (i.e. reusable objects - as per component and connectors in software architectures). During component selection in CBSD, components are evaluated on the criteria of required quality attribute... Read More about DEEPC: Dynamic Energy Profiling of Components.

Integrating real-time fluid simulation with a voxel engine (2016)
Journal Article
Zadick, J., Kenwright, B., & Mitchell, K. (2016). Integrating real-time fluid simulation with a voxel engine. The Computer Games Journal, 5(1-2), 55-64. https://doi.org/10.1007/s40869-016-0020-5

We present a method of adding sophisticated physical simulations to voxel-based games such as the hugely popular Minecraft (2012. http://minecraft.gamepedia.com/Liquid), thus providing a dynamic and realistic fluid simulation in a voxel environment.... Read More about Integrating real-time fluid simulation with a voxel engine.

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings (2016)
Journal Article
Bitterli, B., Rousselle, F., Moon, B., Iglesias-Guitián, J. A., Adler, D., Mitchell, K., Jarosz, W., & Novák, J. (2016). Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Computer Graphics Forum, 35(4), 107-117. https://d

We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide range of scenes. We analyze existing approaches from a theoretical and empiric... Read More about Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings.