Publications 2010 to 2019
2019
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments
Bruna~G Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour-Abarghouei, James Garforth, and Toby~P Breckon
arXiv preprint arXiv:1912.05684, 2019
[Free Paper]
Immaculate Depth Perception: Recovering 3D Scene Information via Depth Completion and Prediction
Amir Atapour-Abarghouei
PhD thesis, Durham University, 2019
[Free Paper]
Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior
A. Atapour-Abarghouei and T.P. Breckon
In Proc. IEEE Int. Conference on Image Processing, p. 4295--4299 IEEE, September 2019
[Official Publication][Free Paper]
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation
Amir Atapour-Abarghouei and Toby~P Breckon
In Proc. International Conference on 3D Vision (3DV), p. 183--193 IEEE, 2019
[Official Publication][Free Paper]
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
B.G. Maciel-Pearson, S. Akcay, A. Atapour-Abarghouei, C. Holder, and T.P. Breckon
IEEE Robotics and Automation Letters, 4(4):4116--4123, 2019
[Official Publication][Free Paper]
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
A. Akcay, A. Atapour-Abarghouei, and T.P. Breckon
In Proc. Int. Joint Conference on Neural Networks, p. 1--8 IEEE, 2019
[Official Publication][Free Paper]
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
N.K.N. Aznan, A. Atapour-Abarghouei, S. Bonner, J. Connolly, N. Al~Moubayed, and T.P. Breckon
In Proc. Int. Joint Conference on Neural Networks, p. 1--8 IEEE, July 2019
[Official Publication][Free Paper]
Generative Adversarial Framework for Depth Filling via Wasserstein Metric, Cosine Transform and Domain Transfer
A. Atapour-Abarghouei, S. Akcay, G. Payen~deLa~Garanderie, and T.P. Breckon
J. Pattern Recognition, 91:232--244, 2019
[Official Publication][Free Paper]
Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation
A. Atapour-Abarghouei and T.P. Breckon
In RGB-D Image Analysis and Processing, p. 15--50 Springer, 2019
[Official Publication][Free Paper]
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
A. Atapour-Abarghouei and T.P. Breckon
In Proc. IEEE Conf. Computer Vision and Pattern Recognition, p. 3368--3379 IEEE, 2019
[Official Publication][Free Paper]
Style Augmentation: Data Augmentation via Style Randomization
P. Jackson, A. Atapour-Abarghouei, S. Bonner, T.P. Breckon, and B. Obara
In IEEE Conf. Computer Vision and Pattern Recognition Workshops, p. 1--10 IEEE, 2019
[Free Paper]
MIGarage Newcastle
A.~Stephen McGough
Invited talk, MIGarage one year anniversary, Digital Catapult, London, UK, Feb. 2019
Accademic Engagement - Digital Catapult
A.~Stephen McGough and Catarina Fernandes
Pannel member at Academic Network for Intelligent Mobility, Transport Catapult, London, UK, Mar. 2019
Provenance, AI and proof in court
A.~Stephen McGough
Invited talk at the Provenance, security & machine learning Workshop, Alan Turing Institute, UK, Nov. 2019
Good Ransomware and Bad Ransomware, but which is which?
A.~Stephen McGough
Invited talk at the North East Fraud Forum Annual Conference, Newcastle, UK, Nov. 2019
Applications of AI to security, energy efficiency and nature
A.~Stephen McGough
Invited talk at Roesearch Computing Summer School 2019, Imperial College London, UK, Sep. 2019
AI For Security
A.~Stephen McGough
Talk at UK-Japan Robotics and AI research collaboration workshop, Edinburgh, UK, Sep. 2019
Using Deep Learning and Genetic Algorithms for fine-tuning simulations
A.~Stephen McGough, Lino Valdovinos, and Miguel Fuentes-Cabrera
Sep. 2019
Cloud, Crime, Ransomware and the problems of Data
A.~Stephen McGough
Talk, Defence and Security programme meetup, Alan Turing Institute, UK, Jan. 2019
Volenti non fit injuria: Ransomware and its Victims
A Atapour-Abarghouei, S Bonner, and AS McGough
In IEEE International Conference on Big Data (Deep Graph Learning: Methodologies and Applications) IEEE, dec 2019
[Free Paper]
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
A Atapour-Abarghouei, S Bonner, and AS McGough
In IEEE International Conference on Big Data (Deep Graph Learning: Methodologies and Applications) IEEE, dec 2019
[Free Paper]
Optimising energy and overhead for large parameter space simulations
AJM Kell, M Forshaw, and AS McGough
In Tenth International Green and Sustainable Computing Conference (IGSC) IEEE, oct 2019
[Free Paper]
Temporal neighbourhood aggregation : predicting future links in temporal graphs via recurrent variational graph convolutions.
Stephen Bonner, Amir Atapour-Abarghouei, Phillip Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Stephen McGough, and Boguslaw Obara
In IEEE International Conference on Big Data (Deep Graph Learning: Methodologies and Applications) IEEE, dec 2019
[Free Paper]
NUFEB: A Massively Parallel Simulator for Individual-based Modelling of Microbial Communities
Bowen Li, Denis Taniguchi, Jayathilake~Pahala Gedara, Valentina Gogulancea, Rebeca Gonzalez-Cabaleiro, Jinju Chen, Andrew~Stephen McGough, Irina~Dana Ofiteru, Thomas~P Curtis, and Paolo Zuliani
bioRxiv, p. 648204, 2019
The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation
Cameron Trotter, Georgia Atkinson, Matthew Sharpe, A~Stephen McGough, Nick Wright, and Per Berggren
2019
On the Use of Neural Text Generation for the Task of Optical Character Recognition
Mahnaz Mohammadi, Sardar Jaf, Andrew~Stephen McGough, Toby~P Breckon, Peter Matthews, Georgios Theodoropoulos, and Boguslaw Obara
In 16th ACS/IEEE International Conference on Computer Systems and Applications, 2019
[Official Publication]
Individual based model links thermodynamics, chemical speciation and environmental conditions to microbial growth
Valentina Gogulancea, Rebeca Gonz\'alez-Cabaleiro, Bowen Li, Denis Taniguchi, Pahala~Gedara Jayathilake, Jinju Chen, Darren Wilkinson, David Swailes, Andrew~Stephen McGough, Paolo Zuliani, and others
Frontiers in microbiology, 10:1871, 2019
Exploring the semantic content of unsupervised graph embeddings: an empirical study.
Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Stephen McGough, and Boguslaw Obara
Data science and engineering., 2019
Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model
Alexander Kell, Matthew Forshaw, and A~Stephen McGough
In Proceedings of the Tenth ACM International Conference on Future Energy Systems, p. 425--427 ACM, 2019
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning
Alexander Kell, Matthew Forshaw, and A~Stephen McGough
In Proceedings of the Tenth ACM International Conference on Future Energy Systems, p. 556--565 ACM, 2019
Why-Diff: Exploiting Provenance to Understand Outcome Differences from non-identical Reproduced Workflows
Priyaa Thavasimani, Jacek Ca\la, and Paolo Missier
IEEE Access, p. 1--18, 2019
Sharing and performance optimization of reproducible workflows in the cloud
Rawaa Qasha, Zhenyu Wen, Jacek Ca\la, and Paul Watson
Future Generation Computer Systems, 98:487--502, 2019
Report on the first international workshop on incremental re-computation: Provenance and beyond
Paolo Missier, Tanu Malik, and Jacek Cala
ACM SIGMOD Record, 47(4):35--38, 2019
Efficient Re-computation of Big Data Analytics Processes in the Presence of Changes: Computational Framework, Reference Architecture, and Applications (Invited Paper)
Paolo Missier and Jacek Ca\la
In IEEE Big Data Congress 2019, 2019
Bruna~G Maciel-Pearson, Letizia Marchegiani, Samet Akcay, Amir Atapour-Abarghouei, James Garforth, and Toby~P Breckon
arXiv preprint arXiv:1912.05684, 2019
[Free Paper]
Immaculate Depth Perception: Recovering 3D Scene Information via Depth Completion and Prediction
Amir Atapour-Abarghouei
PhD thesis, Durham University, 2019
[Free Paper]
Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior
A. Atapour-Abarghouei and T.P. Breckon
In Proc. IEEE Int. Conference on Image Processing, p. 4295--4299 IEEE, September 2019
[Official Publication][Free Paper]
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation
Amir Atapour-Abarghouei and Toby~P Breckon
In Proc. International Conference on 3D Vision (3DV), p. 183--193 IEEE, 2019
[Official Publication][Free Paper]
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
B.G. Maciel-Pearson, S. Akcay, A. Atapour-Abarghouei, C. Holder, and T.P. Breckon
IEEE Robotics and Automation Letters, 4(4):4116--4123, 2019
[Official Publication][Free Paper]
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
A. Akcay, A. Atapour-Abarghouei, and T.P. Breckon
In Proc. Int. Joint Conference on Neural Networks, p. 1--8 IEEE, 2019
[Official Publication][Free Paper]
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
N.K.N. Aznan, A. Atapour-Abarghouei, S. Bonner, J. Connolly, N. Al~Moubayed, and T.P. Breckon
In Proc. Int. Joint Conference on Neural Networks, p. 1--8 IEEE, July 2019
[Official Publication][Free Paper]
Generative Adversarial Framework for Depth Filling via Wasserstein Metric, Cosine Transform and Domain Transfer
A. Atapour-Abarghouei, S. Akcay, G. Payen~deLa~Garanderie, and T.P. Breckon
J. Pattern Recognition, 91:232--244, 2019
[Official Publication][Free Paper]
Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation
A. Atapour-Abarghouei and T.P. Breckon
In RGB-D Image Analysis and Processing, p. 15--50 Springer, 2019
[Official Publication][Free Paper]
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
A. Atapour-Abarghouei and T.P. Breckon
In Proc. IEEE Conf. Computer Vision and Pattern Recognition, p. 3368--3379 IEEE, 2019
[Official Publication][Free Paper]
Style Augmentation: Data Augmentation via Style Randomization
P. Jackson, A. Atapour-Abarghouei, S. Bonner, T.P. Breckon, and B. Obara
In IEEE Conf. Computer Vision and Pattern Recognition Workshops, p. 1--10 IEEE, 2019
[Free Paper]
MIGarage Newcastle
A.~Stephen McGough
Invited talk, MIGarage one year anniversary, Digital Catapult, London, UK, Feb. 2019
Accademic Engagement - Digital Catapult
A.~Stephen McGough and Catarina Fernandes
Pannel member at Academic Network for Intelligent Mobility, Transport Catapult, London, UK, Mar. 2019
Provenance, AI and proof in court
A.~Stephen McGough
Invited talk at the Provenance, security & machine learning Workshop, Alan Turing Institute, UK, Nov. 2019
Good Ransomware and Bad Ransomware, but which is which?
A.~Stephen McGough
Invited talk at the North East Fraud Forum Annual Conference, Newcastle, UK, Nov. 2019
Applications of AI to security, energy efficiency and nature
A.~Stephen McGough
Invited talk at Roesearch Computing Summer School 2019, Imperial College London, UK, Sep. 2019
AI For Security
A.~Stephen McGough
Talk at UK-Japan Robotics and AI research collaboration workshop, Edinburgh, UK, Sep. 2019
Using Deep Learning and Genetic Algorithms for fine-tuning simulations
A.~Stephen McGough, Lino Valdovinos, and Miguel Fuentes-Cabrera
Sep. 2019
Cloud, Crime, Ransomware and the problems of Data
A.~Stephen McGough
Talk, Defence and Security programme meetup, Alan Turing Institute, UK, Jan. 2019
Volenti non fit injuria: Ransomware and its Victims
A Atapour-Abarghouei, S Bonner, and AS McGough
In IEEE International Conference on Big Data (Deep Graph Learning: Methodologies and Applications) IEEE, dec 2019
[Free Paper]
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
A Atapour-Abarghouei, S Bonner, and AS McGough
In IEEE International Conference on Big Data (Deep Graph Learning: Methodologies and Applications) IEEE, dec 2019
[Free Paper]
Optimising energy and overhead for large parameter space simulations
AJM Kell, M Forshaw, and AS McGough
In Tenth International Green and Sustainable Computing Conference (IGSC) IEEE, oct 2019
[Free Paper]
Temporal neighbourhood aggregation : predicting future links in temporal graphs via recurrent variational graph convolutions.
Stephen Bonner, Amir Atapour-Abarghouei, Phillip Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Stephen McGough, and Boguslaw Obara
In IEEE International Conference on Big Data (Deep Graph Learning: Methodologies and Applications) IEEE, dec 2019
[Free Paper]
NUFEB: A Massively Parallel Simulator for Individual-based Modelling of Microbial Communities
Bowen Li, Denis Taniguchi, Jayathilake~Pahala Gedara, Valentina Gogulancea, Rebeca Gonzalez-Cabaleiro, Jinju Chen, Andrew~Stephen McGough, Irina~Dana Ofiteru, Thomas~P Curtis, and Paolo Zuliani
bioRxiv, p. 648204, 2019
The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation
Cameron Trotter, Georgia Atkinson, Matthew Sharpe, A~Stephen McGough, Nick Wright, and Per Berggren
2019
On the Use of Neural Text Generation for the Task of Optical Character Recognition
Mahnaz Mohammadi, Sardar Jaf, Andrew~Stephen McGough, Toby~P Breckon, Peter Matthews, Georgios Theodoropoulos, and Boguslaw Obara
In 16th ACS/IEEE International Conference on Computer Systems and Applications, 2019
[Official Publication]
Individual based model links thermodynamics, chemical speciation and environmental conditions to microbial growth
Valentina Gogulancea, Rebeca Gonz\'alez-Cabaleiro, Bowen Li, Denis Taniguchi, Pahala~Gedara Jayathilake, Jinju Chen, Darren Wilkinson, David Swailes, Andrew~Stephen McGough, Paolo Zuliani, and others
Frontiers in microbiology, 10:1871, 2019
Exploring the semantic content of unsupervised graph embeddings: an empirical study.
Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Stephen McGough, and Boguslaw Obara
Data science and engineering., 2019
Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model
Alexander Kell, Matthew Forshaw, and A~Stephen McGough
In Proceedings of the Tenth ACM International Conference on Future Energy Systems, p. 425--427 ACM, 2019
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning
Alexander Kell, Matthew Forshaw, and A~Stephen McGough
In Proceedings of the Tenth ACM International Conference on Future Energy Systems, p. 556--565 ACM, 2019
Why-Diff: Exploiting Provenance to Understand Outcome Differences from non-identical Reproduced Workflows
Priyaa Thavasimani, Jacek Ca\la, and Paolo Missier
IEEE Access, p. 1--18, 2019
Sharing and performance optimization of reproducible workflows in the cloud
Rawaa Qasha, Zhenyu Wen, Jacek Ca\la, and Paul Watson
Future Generation Computer Systems, 98:487--502, 2019
Report on the first international workshop on incremental re-computation: Provenance and beyond
Paolo Missier, Tanu Malik, and Jacek Cala
ACM SIGMOD Record, 47(4):35--38, 2019
Efficient Re-computation of Big Data Analytics Processes in the Presence of Changes: Computational Framework, Reference Architecture, and Applications (Invited Paper)
Paolo Missier and Jacek Ca\la
In IEEE Big Data Congress 2019, 2019
2018
Extended Patch Prioritization For Depth Hole Filling Within Constrained Exemplar-Based RGB-D Image Completion
A. Atapour-Abarghouei and T.P. Breckon
In Proc. Int. Conf. Image Analysis and Recognition, p. 306--314 Springer, 2018
[Official Publication][Free Paper]
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akcay, A. Atapour-Abarghouei, and T.P. Breckon
In Proc. Asian Conference on Computer Vision, p. 622--637 Springer, 2018
[Official Publication][Free Paper]
A Comparative Review of Plausible Hole Filling Strategies in the Context of Scene Depth Image Completion
A. Atapour-Abarghouei and T.P. Breckon
J. Computers and Graphics, 72:39--58, 2018
[Official Publication][Free Paper]
Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
G. Payen~deLa~Garanderie, A. Atapour-Abarghouei, and T.P. Breckon
In Proc. European Conf. Computer Vision, p. 812--830 Springer, 2018
[Official Publication][Free Paper]
Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer
A. Atapour-Abarghouei and T.P. Breckon
In Proc. IEEE Conf. Computer Vision and Pattern Recognition, p. 2800--2810 IEEE, June 2018
[Official Publication][Free Paper]
Get your head out of the Clouds: clear truths on how AI can help Cloud security
A.~Stephen McGough
Invited talk at AI Forum, London, UK, July 2018
Real-world & scale simulations through parallel computing
A.~Stephen McGough and Denis Taniguchi
Invited talk at Bridging theory and practice in ecological engineering workshop, Narbonne, France, June 2018
Detecting Anomalies Cloud Crime and Ransomware
A.~Stephen McGough
Invited talk at the North East Fraud Forum, Gateshead, UK, June 2018
How can Machine Learning help with Crime, Security and Justice? and what are the limitations
A.~Stephen McGough
Invited talk at Technologies of Crime, Justice and Security Conference, Leeds, UK, Mar. 2018
Machine Intelligence @ Newcastle
A.~Stephen McGough
Invited talk at the MIGarage Launch, Digital Catapult, London, UK, Jan. 2018
Simulation of virtual machine live migration in high throughput computing environments
Osama Alrajeh, Matthew Forshaw, Andrew~Stephen McGough, and Nigel Thomas
In 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), p. 1--8 IEEE, 2018
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
AS McGough, M Forshaw, J Brennan, Moubayed Al, S Bonner, and others
In 9th International Green and Sustainable Computing Conference (IGSC 2018) Newcastle University, 2018
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
Fady Medhat, Mahnaz Mohammadi, Sardar Jaf, Chris~G Willcocks, Toby~P Breckon, Peter Matthews, Andrew~Stephen McGough, Georgios Theodoropoulos, and Boguslaw Obara
In 2018 IEEE International Conference on Big Data (Big Data), p. 2986--2994 IEEE, 2018
Predicting the Computational Cost of Deep Learning Models
Daniel Justus, John Brennan, Stephen Bonner, and Andrew~Stephen McGough
In 2018 IEEE International Conference on Big Data (Big Data), p. 3873--3882 IEEE, 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew~Stephen McGough, and Boguslaw Obara
In 2018 IEEE International Conference on Big Data (Big Data), p. 3737--3746 IEEE, 2018
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data
Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A~Stephen McGough, and Noura Al~Moubayed
In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 541--546 IEEE, 2018
CAM: A Combined Attention Model for Natural Language Inference
Amit Gajbhiye, Sardar Jaf, Noura Al~Moubayed, Steven Bradley, and A~Stephen McGough
In 2018 IEEE International Conference on Big Data (Big Data), p. 1009--1014 IEEE, 2018
Clustering Vehicles based on Trips Identified from Automatic Number Plate Recognition Camera Scans
M Silva, PMP~andForshaw and AS McGough
In 1st International Workshop on Big Traffic Data Analytics, BigTraffic 2018, 2018
Black-box Variational Inference for Stochastic Differential Equations
Thomas Ryder, Andrew Golightly, A~Stephen McGough, and Dennis Prangle
In Thirty-fifth International Conference on Machine Learning, ICML, 2018
An exploration of dropout with RNNs for natural language inference.
Amit Gajbhiye, Sardar Jaf, Noura Al-Moubayed, A. Stephen~McGough, and Steven Bradley
Lecture notes in computer science Springer, October 2018
ICANN 2018: 27th International Conference on Artificial Neural Networks, 4-7 October 2018.
Type-2 Diabetes Mellitus diagnosis from time series clinical data using Deep Learning models.
Zakhriya Alhassan, Stephen McGough, Riyad Alshammari, Tahini Daghstani, David Budgen, and Noura~Al Moubayed
In 27th International Conference on Artificial Neural Networks (ICANN)., Lecture Notes in Computer Science Springer, October 2018
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting
Alexander Kell, A.~Stephen McGough, and Matthew Forshaw
In Proceedings of the Ninth International Conference on Future Energy Systems, e-Energy '18, p. 91--96, New York, NY, USA, 2018 ACM
Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM)
A.~Stephen McGough and Matthew Forshaw
Sustainable Computing: Informatics and Systems, 2018
[Official Publication]
Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment
A.~Stephen McGough and Matthew Forshaw
In Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE '18, p. 85--90, New York, NY, USA, 2018 ACM
[Official Publication]
Building an advanced Biological Simulation System using Atomistic Simulation tools
A.~Stephen McGough
Talk - reviewed selection, New Horizons in Atomistic Simulation; N8 HPC, CCP5 & UKCP Network Event, Jan. 2018
[Official Publication][Slides]
Black-Box Autoregressive Density Estimation for State-Space Models
T Ryder, A Golighty, AS McGough, and D Prangle
Technical report, arXiv, 2018
[Free Paper]
Exploiting execution provenance to explain difference between two data-intensive computations
Priyaa Thavasimani, Jacek Ca\la, and Paolo Missier
In 2018 IEEE 14th International Conference on e-Science (e-Science), p. 380--381 IEEE, 2018
Selective and recurring re-computation of Big Data analytics tasks: insights from a Genomics case study
Jacek Ca\la and Paolo Missier
Big data research, 13:76--94, 2018
Provenance Annotation and Analysis to Support Process Re-Computation
Jacek Ca\la and Paolo Missier
In 7th International Provenance and Annotation Workshop, IPAW 2018, p. https--link http://www.lamsade.dauphine.fr/\~belhajjame/Program\_files/pdf/s3\_p1.pdf, 2018
Design and evaluation of a genomics variant analysis pipeline using GATK Spark tools
Nicholas Tucci, Jacek Cala, Jannetta Steyn, and Paolo Missier
arXiv preprint arXiv:1806.00788, 2018
Proceedings of the Ninth International Workshop on the Practical Application of Stochastic Modelling (PASM) Preface
Matthew Forshaw, William Knottenbelt, Nigel Thomas, and Katinka Wolter
2018
Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows
Vasiliki Kalavri, John Liagouris, Moritz Hoffmann, Desislava Dimitrova, Matthew Forshaw, and Timothy Roscoe
In 13th $\$USENIX$\$ Symposium on Operating Systems Design and Implementation ($\$OSDI$\$ 18), p. 783--798, 2018
An Automated Approach to Cloud Performance Benchmarking
Adam Cattermole and Matthew Forshaw
Electronic Notes in Theoretical Computer Science, 340:23--39, 2018
Building an advanced Biological Simulation System using Atomistic Simulation tools
A.~Stephen McGough
Talk at New Horizons in Atomistic Simulation workshop, York, UK, Jan. 2018
A. Atapour-Abarghouei and T.P. Breckon
In Proc. Int. Conf. Image Analysis and Recognition, p. 306--314 Springer, 2018
[Official Publication][Free Paper]
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akcay, A. Atapour-Abarghouei, and T.P. Breckon
In Proc. Asian Conference on Computer Vision, p. 622--637 Springer, 2018
[Official Publication][Free Paper]
A Comparative Review of Plausible Hole Filling Strategies in the Context of Scene Depth Image Completion
A. Atapour-Abarghouei and T.P. Breckon
J. Computers and Graphics, 72:39--58, 2018
[Official Publication][Free Paper]
Eliminating the Dreaded Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
G. Payen~deLa~Garanderie, A. Atapour-Abarghouei, and T.P. Breckon
In Proc. European Conf. Computer Vision, p. 812--830 Springer, 2018
[Official Publication][Free Paper]
Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer
A. Atapour-Abarghouei and T.P. Breckon
In Proc. IEEE Conf. Computer Vision and Pattern Recognition, p. 2800--2810 IEEE, June 2018
[Official Publication][Free Paper]
Get your head out of the Clouds: clear truths on how AI can help Cloud security
A.~Stephen McGough
Invited talk at AI Forum, London, UK, July 2018
Real-world & scale simulations through parallel computing
A.~Stephen McGough and Denis Taniguchi
Invited talk at Bridging theory and practice in ecological engineering workshop, Narbonne, France, June 2018
Detecting Anomalies Cloud Crime and Ransomware
A.~Stephen McGough
Invited talk at the North East Fraud Forum, Gateshead, UK, June 2018
How can Machine Learning help with Crime, Security and Justice? and what are the limitations
A.~Stephen McGough
Invited talk at Technologies of Crime, Justice and Security Conference, Leeds, UK, Mar. 2018
Machine Intelligence @ Newcastle
A.~Stephen McGough
Invited talk at the MIGarage Launch, Digital Catapult, London, UK, Jan. 2018
Simulation of virtual machine live migration in high throughput computing environments
Osama Alrajeh, Matthew Forshaw, Andrew~Stephen McGough, and Nigel Thomas
In 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), p. 1--8 IEEE, 2018
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
AS McGough, M Forshaw, J Brennan, Moubayed Al, S Bonner, and others
In 9th International Green and Sustainable Computing Conference (IGSC 2018) Newcastle University, 2018
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
Fady Medhat, Mahnaz Mohammadi, Sardar Jaf, Chris~G Willcocks, Toby~P Breckon, Peter Matthews, Andrew~Stephen McGough, Georgios Theodoropoulos, and Boguslaw Obara
In 2018 IEEE International Conference on Big Data (Big Data), p. 2986--2994 IEEE, 2018
Predicting the Computational Cost of Deep Learning Models
Daniel Justus, John Brennan, Stephen Bonner, and Andrew~Stephen McGough
In 2018 IEEE International Conference on Big Data (Big Data), p. 3873--3882 IEEE, 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew~Stephen McGough, and Boguslaw Obara
In 2018 IEEE International Conference on Big Data (Big Data), p. 3737--3746 IEEE, 2018
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data
Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A~Stephen McGough, and Noura Al~Moubayed
In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 541--546 IEEE, 2018
CAM: A Combined Attention Model for Natural Language Inference
Amit Gajbhiye, Sardar Jaf, Noura Al~Moubayed, Steven Bradley, and A~Stephen McGough
In 2018 IEEE International Conference on Big Data (Big Data), p. 1009--1014 IEEE, 2018
Clustering Vehicles based on Trips Identified from Automatic Number Plate Recognition Camera Scans
M Silva, PMP~andForshaw and AS McGough
In 1st International Workshop on Big Traffic Data Analytics, BigTraffic 2018, 2018
Black-box Variational Inference for Stochastic Differential Equations
Thomas Ryder, Andrew Golightly, A~Stephen McGough, and Dennis Prangle
In Thirty-fifth International Conference on Machine Learning, ICML, 2018
An exploration of dropout with RNNs for natural language inference.
Amit Gajbhiye, Sardar Jaf, Noura Al-Moubayed, A. Stephen~McGough, and Steven Bradley
Lecture notes in computer science Springer, October 2018
ICANN 2018: 27th International Conference on Artificial Neural Networks, 4-7 October 2018.
Type-2 Diabetes Mellitus diagnosis from time series clinical data using Deep Learning models.
Zakhriya Alhassan, Stephen McGough, Riyad Alshammari, Tahini Daghstani, David Budgen, and Noura~Al Moubayed
In 27th International Conference on Artificial Neural Networks (ICANN)., Lecture Notes in Computer Science Springer, October 2018
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting
Alexander Kell, A.~Stephen McGough, and Matthew Forshaw
In Proceedings of the Ninth International Conference on Future Energy Systems, e-Energy '18, p. 91--96, New York, NY, USA, 2018 ACM
Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM)
A.~Stephen McGough and Matthew Forshaw
Sustainable Computing: Informatics and Systems, 2018
[Official Publication]
Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment
A.~Stephen McGough and Matthew Forshaw
In Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE '18, p. 85--90, New York, NY, USA, 2018 ACM
[Official Publication]
Building an advanced Biological Simulation System using Atomistic Simulation tools
A.~Stephen McGough
Talk - reviewed selection, New Horizons in Atomistic Simulation; N8 HPC, CCP5 & UKCP Network Event, Jan. 2018
[Official Publication][Slides]
Black-Box Autoregressive Density Estimation for State-Space Models
T Ryder, A Golighty, AS McGough, and D Prangle
Technical report, arXiv, 2018
[Free Paper]
Exploiting execution provenance to explain difference between two data-intensive computations
Priyaa Thavasimani, Jacek Ca\la, and Paolo Missier
In 2018 IEEE 14th International Conference on e-Science (e-Science), p. 380--381 IEEE, 2018
Selective and recurring re-computation of Big Data analytics tasks: insights from a Genomics case study
Jacek Ca\la and Paolo Missier
Big data research, 13:76--94, 2018
Provenance Annotation and Analysis to Support Process Re-Computation
Jacek Ca\la and Paolo Missier
In 7th International Provenance and Annotation Workshop, IPAW 2018, p. https--link http://www.lamsade.dauphine.fr/\~belhajjame/Program\_files/pdf/s3\_p1.pdf, 2018
Design and evaluation of a genomics variant analysis pipeline using GATK Spark tools
Nicholas Tucci, Jacek Cala, Jannetta Steyn, and Paolo Missier
arXiv preprint arXiv:1806.00788, 2018
Proceedings of the Ninth International Workshop on the Practical Application of Stochastic Modelling (PASM) Preface
Matthew Forshaw, William Knottenbelt, Nigel Thomas, and Katinka Wolter
2018
Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows
Vasiliki Kalavri, John Liagouris, Moritz Hoffmann, Desislava Dimitrova, Matthew Forshaw, and Timothy Roscoe
In 13th $\$USENIX$\$ Symposium on Operating Systems Design and Implementation ($\$OSDI$\$ 18), p. 783--798, 2018
An Automated Approach to Cloud Performance Benchmarking
Adam Cattermole and Matthew Forshaw
Electronic Notes in Theoretical Computer Science, 340:23--39, 2018
Building an advanced Biological Simulation System using Atomistic Simulation tools
A.~Stephen McGough
Talk at New Horizons in Atomistic Simulation workshop, York, UK, Jan. 2018
2017
Recent Advances in RGB-D Hole Filling
A. Atapour-Abarghouei
Invited talk to BMVA Technical meeting on Analysis and Processing of RGBD Data, Mar. 2017
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation
A. Atapour-Abarghouei and T.P. Breckon
In Proc. British Machine Vision Conference, p. 208.1--208.13 BMVA, 2017
[Official Publication][Free Paper]
Sentiment Analysis using Probabilistic Topic Modelling and Unsupervised Deep Learning
A.~Stephen McGough and Noura~Al Moubayed
Seminar, Newcastle University, UK, June 2017
PARALLEM: massively Parallel Landscape Evolution Modelling
A.~Stephen McGough and Darrel Maddy
Seminar, Sheffield University, Nov. 2017
[Slides]
Evaluating the quality of graph embeddings via topological feature reconstruction.
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Stephen McGough, and Boguslaw Obara
In IEEE International Conference on Big Data IEEE, November 2017
[Official Publication][Free Paper]
Enhanced detection of movement onset in EEG through deep oversampling
N.~A. Moubayed, B.~A.~S. Hasan, and A.~S. McGough
In 2017 International Joint Conference on Neural Networks (IJCNN), p. 71--78, May 2017
[Official Publication][Free Paper][Slides]
Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine
Noura Al~Moubayed, David Wall, and A.~Stephen McGough
In Theo Tryfonas, editor, Human Aspects of Information Security, Privacy and Trust: 5th International Conference, HAS 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, p. 287--295, Cham, 2017 Springer International Publishing
[Official Publication][Free Paper][Slides]
A mechanistic Individual-based Model of microbial communities
Pahala~Gedara Jayathilake, Prashant Gupta, Bowen Li, Curtis Madsen, Oluwole Oyebamiji, Rebeca Gonz√°lez-Cabaleiro, Steve Rushton, Ben Bridgens, David Swailes, Ben Allen, A.~Stephen McGough, Paolo Zuliani, Irina~Dana Ofiteru, Darren Wilkinson, Jinju Chen, and Tom Curtis
PLOS ONE, 12(8):1--26, 08 2017
[Official Publication][Free Paper]
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems
A.~Stephen McGough, Noura Al~Moubayed, and Matthew Forshaw
In Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion, ICPE '17 Companion, p. 55--60, New York, NY, USA, 2017 ACM
[Official Publication][Free Paper][Slides]
Massively Parallel Landscape-Evolution Modelling using General Purpose Graphical Processing Units
A.~Stephen McGough and Darrel Maddy
Talk - reviewed selection, GTC 2017, May 2017
[Slides]
Sentiment Analysis Through the Use of Unsupervised Deep Learning
A.~Stephen McGough and Noura~Al Moubayed
Talk - reviewed selection, GTC 2017, May 2017
[Slides]
Why-diff: Explaining differences amongst similar workflow runs by exploiting scientific metadata
Priyaa Thavasimani, Jacek Ca\la, and Paolo Missier
In 2017 IEEE International Conference on Big Data (Big Data), p. 3031--3041 IEEE, 2017
Runtime Performance Prediction of Big Data Workflows with I/O-aware Simulation
Faris Llwaah, Jacek Ca\la, and Nigel Thomas
In Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools, p. 74--81, 2017
Preserving the value of large scale data analytics over time through selective re-computation
Paolo Missier, Jacek Ca\la, and Manisha Rathi
In British International Conference on Databases, p. 65--77 Springer, Cham, 2017
Performance and Dependability evaluation of distributed event-based systems: a dynamic code-injection approach
Saleh Mohamed, Matthew Forshaw, Nigel Thomas, and Andrew Dinn
In 8th ACM/SPEC International Conference on Performance Engineering (ICPE), 2017
Erratum to “On the Privacy of Private Browsing--A Forensic Approach”[JISA 19/1 (2014), 88--100]
Kiavash Satvat, Matthew Forshaw, Feng Hao, and Ehsan Toreini
Journal of Information Security and Applications, 100(33):66, 2017
Automatic Generation of Distributed Run-time Infrastructure for Internet of Things (IoT)
Saleh Mohamed, Matthew Forshaw, and Nigel Thomas
In ICSAW, 2017
Experience Report: How to Design Web-Based Competitions for Legal Proceedings: Lessons from a Court Case
Aad vanMoorsel, Matthew Forshaw, and Francisco Rocha
In International Symposium on Software Reliability Engineering (ISSRE), 2017
Machine learning models for predicting timely virtual machine live migration
Osama Alrajeh, Matthew Forshaw, and Nigel Thomas
In European Performance Engineering Workshop, 2017
Robust and Efficient EH-WSN Simulation using Solar Radiation Data
James Allen, Matthew Forshaw, and Nigel Thomas
Doctoral School on Transiently Powered Computing, p. 28, 2017
On the Privacy of Private Browsing-A Forensic Approach (vol 19, pg 88, 2017)
Kiavash Satvat, Matthew Forshaw, Feng Hao, and Ehsan Toreini
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 33:66--66, 2017
Towards an accurate and scalable energy harvesting wireless sensor network simulator model framework
James Allen, Matthew Forshaw, and Nigel Thomas
In 3rd International Workshop on Energy-aware Simulation (ENERGY-SIM’17) Newcastle University, 2017
Towards an Extensible and Scalable Energy Harvesting Wireless Sensor Network Simulation Framework
James Allen, Matthew Forshaw, and Nigel Thomas
In Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion, p. 39--42 ACM, 2017
Analytical and Stochastic Modelling Techniques and Applications [electronic resource]: 24th International Conference, ASMTA 2017, Newcastle-upon-Tyne, UK, July 10-11, 2017, Proceedings/edited by Nigel Thomas, Matthew Forshaw.
Nigel Thomas, Matthew Forshaw, and others
2017
Analytical and Stochastic Modelling Techniques and Applications
Nigel Thomas and Matthew Forshaw
Lecture Notes in Computer Science, 2017
Using Edge-Clouds to Reduce Load on Traditional WiFi Infrastructures and Improve Quality of Experience
Pedro~M. Pinto da Silva, Joao Rodrigues, Joaquim Silva, Rolando Martins, Luis Lopes, and Fernando Silva
In 2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC), p. 61--67, May 2017
A. Atapour-Abarghouei
Invited talk to BMVA Technical meeting on Analysis and Processing of RGBD Data, Mar. 2017
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation
A. Atapour-Abarghouei and T.P. Breckon
In Proc. British Machine Vision Conference, p. 208.1--208.13 BMVA, 2017
[Official Publication][Free Paper]
Sentiment Analysis using Probabilistic Topic Modelling and Unsupervised Deep Learning
A.~Stephen McGough and Noura~Al Moubayed
Seminar, Newcastle University, UK, June 2017
PARALLEM: massively Parallel Landscape Evolution Modelling
A.~Stephen McGough and Darrel Maddy
Seminar, Sheffield University, Nov. 2017
[Slides]
Evaluating the quality of graph embeddings via topological feature reconstruction.
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Stephen McGough, and Boguslaw Obara
In IEEE International Conference on Big Data IEEE, November 2017
[Official Publication][Free Paper]
Enhanced detection of movement onset in EEG through deep oversampling
N.~A. Moubayed, B.~A.~S. Hasan, and A.~S. McGough
In 2017 International Joint Conference on Neural Networks (IJCNN), p. 71--78, May 2017
[Official Publication][Free Paper][Slides]
Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine
Noura Al~Moubayed, David Wall, and A.~Stephen McGough
In Theo Tryfonas, editor, Human Aspects of Information Security, Privacy and Trust: 5th International Conference, HAS 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, p. 287--295, Cham, 2017 Springer International Publishing
[Official Publication][Free Paper][Slides]
A mechanistic Individual-based Model of microbial communities
Pahala~Gedara Jayathilake, Prashant Gupta, Bowen Li, Curtis Madsen, Oluwole Oyebamiji, Rebeca Gonz√°lez-Cabaleiro, Steve Rushton, Ben Bridgens, David Swailes, Ben Allen, A.~Stephen McGough, Paolo Zuliani, Irina~Dana Ofiteru, Darren Wilkinson, Jinju Chen, and Tom Curtis
PLOS ONE, 12(8):1--26, 08 2017
[Official Publication][Free Paper]
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems
A.~Stephen McGough, Noura Al~Moubayed, and Matthew Forshaw
In Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion, ICPE '17 Companion, p. 55--60, New York, NY, USA, 2017 ACM
[Official Publication][Free Paper][Slides]
Massively Parallel Landscape-Evolution Modelling using General Purpose Graphical Processing Units
A.~Stephen McGough and Darrel Maddy
Talk - reviewed selection, GTC 2017, May 2017
[Slides]
Sentiment Analysis Through the Use of Unsupervised Deep Learning
A.~Stephen McGough and Noura~Al Moubayed
Talk - reviewed selection, GTC 2017, May 2017
[Slides]
Why-diff: Explaining differences amongst similar workflow runs by exploiting scientific metadata
Priyaa Thavasimani, Jacek Ca\la, and Paolo Missier
In 2017 IEEE International Conference on Big Data (Big Data), p. 3031--3041 IEEE, 2017
Runtime Performance Prediction of Big Data Workflows with I/O-aware Simulation
Faris Llwaah, Jacek Ca\la, and Nigel Thomas
In Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools, p. 74--81, 2017
Preserving the value of large scale data analytics over time through selective re-computation
Paolo Missier, Jacek Ca\la, and Manisha Rathi
In British International Conference on Databases, p. 65--77 Springer, Cham, 2017
Performance and Dependability evaluation of distributed event-based systems: a dynamic code-injection approach
Saleh Mohamed, Matthew Forshaw, Nigel Thomas, and Andrew Dinn
In 8th ACM/SPEC International Conference on Performance Engineering (ICPE), 2017
Erratum to “On the Privacy of Private Browsing--A Forensic Approach”[JISA 19/1 (2014), 88--100]
Kiavash Satvat, Matthew Forshaw, Feng Hao, and Ehsan Toreini
Journal of Information Security and Applications, 100(33):66, 2017
Automatic Generation of Distributed Run-time Infrastructure for Internet of Things (IoT)
Saleh Mohamed, Matthew Forshaw, and Nigel Thomas
In ICSAW, 2017
Experience Report: How to Design Web-Based Competitions for Legal Proceedings: Lessons from a Court Case
Aad vanMoorsel, Matthew Forshaw, and Francisco Rocha
In International Symposium on Software Reliability Engineering (ISSRE), 2017
Machine learning models for predicting timely virtual machine live migration
Osama Alrajeh, Matthew Forshaw, and Nigel Thomas
In European Performance Engineering Workshop, 2017
Robust and Efficient EH-WSN Simulation using Solar Radiation Data
James Allen, Matthew Forshaw, and Nigel Thomas
Doctoral School on Transiently Powered Computing, p. 28, 2017
On the Privacy of Private Browsing-A Forensic Approach (vol 19, pg 88, 2017)
Kiavash Satvat, Matthew Forshaw, Feng Hao, and Ehsan Toreini
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 33:66--66, 2017
Towards an accurate and scalable energy harvesting wireless sensor network simulator model framework
James Allen, Matthew Forshaw, and Nigel Thomas
In 3rd International Workshop on Energy-aware Simulation (ENERGY-SIM’17) Newcastle University, 2017
Towards an Extensible and Scalable Energy Harvesting Wireless Sensor Network Simulation Framework
James Allen, Matthew Forshaw, and Nigel Thomas
In Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion, p. 39--42 ACM, 2017
Analytical and Stochastic Modelling Techniques and Applications [electronic resource]: 24th International Conference, ASMTA 2017, Newcastle-upon-Tyne, UK, July 10-11, 2017, Proceedings/edited by Nigel Thomas, Matthew Forshaw.
Nigel Thomas, Matthew Forshaw, and others
2017
Analytical and Stochastic Modelling Techniques and Applications
Nigel Thomas and Matthew Forshaw
Lecture Notes in Computer Science, 2017
Using Edge-Clouds to Reduce Load on Traditional WiFi Infrastructures and Improve Quality of Experience
Pedro~M. Pinto da Silva, Joao Rodrigues, Joaquim Silva, Rolando Martins, Luis Lopes, and Fernando Silva
In 2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC), p. 61--67, May 2017
2016
Back to Butterworth - A Fourier Basis for 3D Surface Relief Hole Filling within RGB-D Imagery
A. Atapour-Abarghouei, G. Payen~deLa~Garanderie, and T.P. Breckon
In Proc. Int. Conf. Pattern Recognition, p. 2813--2818 IEEE, 2016
[Official Publication][Free Paper]
GFP-X: A Parallel Approach To Massive Graph Comparison Using Spark
Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, and Andrew~Stephen McGough
In IEEE International Conference on Big Data, p. 1--10, 2016
[Official Publication][Free Paper][Slides]
Deep Topology Classification: A New Approach for Massive Graph Classification
Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, and Andrew~Stephen McGough
In IEEE International Conference on Big Data, p. 1--8, 2016
[Official Publication][Free Paper][Slides]
The Case for Energy-aware Simulation and Modelling of Internet of Things (IoT)
Matthew Forshaw, Nigel Thomas, and A.~Stephen McGough
In Proceedings of the 2Nd International Workshop on Energy-Aware Simulation, ENERGY-SIM '16, p. 5:1--5:4, New York, NY, USA, 2016 ACM
[Official Publication][Free Paper]
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder
Noura Al~Moubayed, Toby Breckon, Peter Matthews, and A.~Stephen McGough
In Alessandro~E.P. Villa, Paolo Masulli, and Antonio~Javier Pons~Rivero, editors, Artificial Neural Networks and Machine Learning -- ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II, p. 423--430, Cham, 2016 Springer International Publishing
[Official Publication][Free Paper]
Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'
Stephen Bonner, John Brennan, Ibad Kureshi, and McGough~Andrew Stephen
In Twelfth Workshop on Mining and Learning with Graphs (MLG) at KDD'16, MLG12, p. 1--8 ACM, 2016
[Official Publication]
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems
M. Forshaw, A.S. McGough, and N. Thomas
Concurrency and Computation: Practice and Experience, 28(12):3260--3290, 2016
cpe.3804
[Official Publication][Free Paper]
A new frontier in design -- the simulation of open-engineered biological systems: NUFEB 1.0 and Beyond
Stephen McGough
Oak Ridge National Labs, TN, USA, July 2016
Massively Parallel Landscape Evolution Modelling -- the PARALLEM approach
A.S. McGough, D. Maddy, J. Wainwright, S. Liang, M. Rapoportas, A. Trueman, R. Grey, and G.~Kumar Vinodi
Oxford, May 2016
Anomaly Detection and Categorization Using Unsupervised Deep Learning
A.~Stephen McGough, Noura~Al Moubayed, Jonathan Cumming, Eduardo Cabrera, Peter Matthews, Toby~P. Breckon, Ed Ruck-Keene, and Georgios Theodoropoulosi
Talk - reviewed selection, GTC 2016, Apr. 2016
[Slides]
Anomaly Detection and Categorization Using Unsupervised Deep Learning
A.~Stephen McGough, Noura~Al Moubayed, Jonathan Cumming, Eduardo Cabrera, Peter Matthews, Toby~P. Breckon, Ed Ruck-Keene, and Georgios Theodoropoulosi
Invited Talk, Deep Learning Meets TensorFlow Mega Meetup, Silicon Valley, CA, Apr. 2016
[Slides]
Anomaly Detection and Categorisation Using Unsupervised Deep Learning from Semi-structured Data Sources
A.~Stephen McGough, Noura~Al Moubayed, Chris Willcocks, Ed Ruck-Keene, Peter Matthews, Toby~P. Breckon, and Boguslaw Obara
Invited Talk at DEFENCE INFORMATION SYMPOSIUM 2016, London, UK, Sep. 2016
Northern Cloud Cybercrime Centre
A.~Stephen McGough
Talk at RCUK Cloud Working Group Workshop 2016, London, UK, Nov. 2016
Scalable and efficient whole-exome data processing using workflows on the cloud
Jacek Ca\la, Eyad Marei, Yaobo Xu, Kenji Takeda, and Paolo Missier
Future Generation Computer Systems, 65:153--168, 2016
EUBrazilCC Federated Cloud: A Transatlantic Multi-Cloud Infrastructure
José~Luis Vivas, Francisco~Vilar Brasileiro, Abmar Barros, Giovanni~Farias daSilva, Marcos N\'obrega~Jr, Francisco~Germano deAra\'ujo~Neto, Ignacio Blanquer, Erik Torres, Giovanni Aloisio, Sandro Fiore, and others
In Developing Interoperable and Federated Cloud Architecture, p. 220--251 IGI Global, 2016
The Data, They Are A-Changin'.
Paolo Missier, Jacek Cala, and Eldarina~Azfar Wijaya
In TaPP, 2016
Cost Effective, Reliable and Secure Workflow Deployment over Federated Clouds
Zhenyu Wen, Jacek Ca\la, Paul Watson, and Alexander Romanovsky
IEEE Transactions on Services Computing, (99), 2016
Simulation of Runtime Performance of Big Data Workflows on the Cloud
Faris Llwaah, Jacek Ca\la, and Nigel Thomas
In European Workshop on Performance Engineering, p. 141--155 Springer, Cham, 2016
A Framework for Scientific Workflow Reproducibility in the Cloud
Rawaa Qasha, Jacek Ca\la, and Paul Watson
In IEEE 12th International Conference on eScience, 2016
Dynamic deployment of scientific workflows in the cloud using container virtualization
Rawaa Qasha, Jacek Cala, and Paul Watson
In 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), p. 269--276 IEEE, 2016
TECHNICAL REPORT SERIES
Container Virtualization, Rawaa Qasha, Jacek Cala, and Paul Watson
2016
Meeting Graduate Employability Needs through Open-source Collaboration with Industry
Matthew Forshaw, Ellis Solaiman, Oonagh McGee, Hugo Firth, Paul Robinson, and Ryan Emerson
In Proceedings of the 47th ACM Technical Symposium on Computing Science Education, p. 516--521 ACM, 2016
Out of the Comfort Zone: Embedding Entrepreneurship in a Cohort of Computer Science Doctoral Students
Oonagh McGee, Matthew Forshaw, Barry Hodgson, and Steve Caughey
In 21th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), 2016
Performance of Virtual Machine Live Migration with Various Workloads
Osama Alrajeh, Nigel Thomas, and Matthew Forshaw
In UK Performance Engineering Workshop (UKPEW), 2016
A. Atapour-Abarghouei, G. Payen~deLa~Garanderie, and T.P. Breckon
In Proc. Int. Conf. Pattern Recognition, p. 2813--2818 IEEE, 2016
[Official Publication][Free Paper]
GFP-X: A Parallel Approach To Massive Graph Comparison Using Spark
Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, and Andrew~Stephen McGough
In IEEE International Conference on Big Data, p. 1--10, 2016
[Official Publication][Free Paper][Slides]
Deep Topology Classification: A New Approach for Massive Graph Classification
Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, and Andrew~Stephen McGough
In IEEE International Conference on Big Data, p. 1--8, 2016
[Official Publication][Free Paper][Slides]
The Case for Energy-aware Simulation and Modelling of Internet of Things (IoT)
Matthew Forshaw, Nigel Thomas, and A.~Stephen McGough
In Proceedings of the 2Nd International Workshop on Energy-Aware Simulation, ENERGY-SIM '16, p. 5:1--5:4, New York, NY, USA, 2016 ACM
[Official Publication][Free Paper]
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder
Noura Al~Moubayed, Toby Breckon, Peter Matthews, and A.~Stephen McGough
In Alessandro~E.P. Villa, Paolo Masulli, and Antonio~Javier Pons~Rivero, editors, Artificial Neural Networks and Machine Learning -- ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II, p. 423--430, Cham, 2016 Springer International Publishing
[Official Publication][Free Paper]
Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'
Stephen Bonner, John Brennan, Ibad Kureshi, and McGough~Andrew Stephen
In Twelfth Workshop on Mining and Learning with Graphs (MLG) at KDD'16, MLG12, p. 1--8 ACM, 2016
[Official Publication]
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems
M. Forshaw, A.S. McGough, and N. Thomas
Concurrency and Computation: Practice and Experience, 28(12):3260--3290, 2016
cpe.3804
[Official Publication][Free Paper]
A new frontier in design -- the simulation of open-engineered biological systems: NUFEB 1.0 and Beyond
Stephen McGough
Oak Ridge National Labs, TN, USA, July 2016
Massively Parallel Landscape Evolution Modelling -- the PARALLEM approach
A.S. McGough, D. Maddy, J. Wainwright, S. Liang, M. Rapoportas, A. Trueman, R. Grey, and G.~Kumar Vinodi
Oxford, May 2016
Anomaly Detection and Categorization Using Unsupervised Deep Learning
A.~Stephen McGough, Noura~Al Moubayed, Jonathan Cumming, Eduardo Cabrera, Peter Matthews, Toby~P. Breckon, Ed Ruck-Keene, and Georgios Theodoropoulosi
Talk - reviewed selection, GTC 2016, Apr. 2016
[Slides]
Anomaly Detection and Categorization Using Unsupervised Deep Learning
A.~Stephen McGough, Noura~Al Moubayed, Jonathan Cumming, Eduardo Cabrera, Peter Matthews, Toby~P. Breckon, Ed Ruck-Keene, and Georgios Theodoropoulosi
Invited Talk, Deep Learning Meets TensorFlow Mega Meetup, Silicon Valley, CA, Apr. 2016
[Slides]
Anomaly Detection and Categorisation Using Unsupervised Deep Learning from Semi-structured Data Sources
A.~Stephen McGough, Noura~Al Moubayed, Chris Willcocks, Ed Ruck-Keene, Peter Matthews, Toby~P. Breckon, and Boguslaw Obara
Invited Talk at DEFENCE INFORMATION SYMPOSIUM 2016, London, UK, Sep. 2016
Northern Cloud Cybercrime Centre
A.~Stephen McGough
Talk at RCUK Cloud Working Group Workshop 2016, London, UK, Nov. 2016
Scalable and efficient whole-exome data processing using workflows on the cloud
Jacek Ca\la, Eyad Marei, Yaobo Xu, Kenji Takeda, and Paolo Missier
Future Generation Computer Systems, 65:153--168, 2016
EUBrazilCC Federated Cloud: A Transatlantic Multi-Cloud Infrastructure
José~Luis Vivas, Francisco~Vilar Brasileiro, Abmar Barros, Giovanni~Farias daSilva, Marcos N\'obrega~Jr, Francisco~Germano deAra\'ujo~Neto, Ignacio Blanquer, Erik Torres, Giovanni Aloisio, Sandro Fiore, and others
In Developing Interoperable and Federated Cloud Architecture, p. 220--251 IGI Global, 2016
The Data, They Are A-Changin'.
Paolo Missier, Jacek Cala, and Eldarina~Azfar Wijaya
In TaPP, 2016
Cost Effective, Reliable and Secure Workflow Deployment over Federated Clouds
Zhenyu Wen, Jacek Ca\la, Paul Watson, and Alexander Romanovsky
IEEE Transactions on Services Computing, (99), 2016
Simulation of Runtime Performance of Big Data Workflows on the Cloud
Faris Llwaah, Jacek Ca\la, and Nigel Thomas
In European Workshop on Performance Engineering, p. 141--155 Springer, Cham, 2016
A Framework for Scientific Workflow Reproducibility in the Cloud
Rawaa Qasha, Jacek Ca\la, and Paul Watson
In IEEE 12th International Conference on eScience, 2016
Dynamic deployment of scientific workflows in the cloud using container virtualization
Rawaa Qasha, Jacek Cala, and Paul Watson
In 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), p. 269--276 IEEE, 2016
TECHNICAL REPORT SERIES
Container Virtualization, Rawaa Qasha, Jacek Cala, and Paul Watson
2016
Meeting Graduate Employability Needs through Open-source Collaboration with Industry
Matthew Forshaw, Ellis Solaiman, Oonagh McGee, Hugo Firth, Paul Robinson, and Ryan Emerson
In Proceedings of the 47th ACM Technical Symposium on Computing Science Education, p. 516--521 ACM, 2016
Out of the Comfort Zone: Embedding Entrepreneurship in a Cohort of Computer Science Doctoral Students
Oonagh McGee, Matthew Forshaw, Barry Hodgson, and Steve Caughey
In 21th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), 2016
Performance of Virtual Machine Live Migration with Various Workloads
Osama Alrajeh, Nigel Thomas, and Matthew Forshaw
In UK Performance Engineering Workshop (UKPEW), 2016
2015
Detecting Insider Threats Using Ben--ware: Beneficial Intelligent Software for Identifying Anomalous Human Behaviour
Andrew~Stephen *McGough, Budi Arief, Carl Gamble, David Wall, John Brennan, John Fitzgerald, Aad vanMoorsel, Sujeewa Alwis, Georgios Theodoropoulos, and Ed Ruck-Keene
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications,, 6(4):3--46, 2015
[Official Publication][Free Paper]
Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware)
Andrew~Stephen McGough, David Wall, John Brennan, Georgios Theodoropoulos, Ed Ruck-Keene, Budi Arief, Carl Gamble, John Fitzgerald, Aad vanMoorsel, and Sujeewa Alwis
In Proceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats, MIST '15, p. 1--12, New York, NY, USA, 2015 ACM
[Official Publication][Free Paper][Slides]
Data quality assessment and anomaly detection via map / reduce and linked data : a case study in the medical domain.
S. Bonner, S. McGough, I. Kureshi, J. Brennan, G. Theodoropoulos, L. Moss, D. Corsar, and G. Antoniou
In IEEE International Conference on Big Data IEEE, January 2015
[Official Publication][Free Paper][Slides]
Energy-aware simulation of workflow execution in High Throughput Computing systems.
A.~Stephen McGough and Matthew Forshaw
In 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 14-16 October 2015, Chengdu, China ; proceedings. IEEE, October 2015
[Free Paper][Slides]
Flipping the priority : effects of prioritising HTC jobs on energy consumption in a multi-use cluster.
Matthew Forshaw and A.Stephen McGough
In Georgios Theodoropoulos, Gary Tan~Soon Huat, and Claudia Szabo, editors, Proceedings of the 8th International Conference on Simulation Tools and Techniques, SIMUTools '15, August 26-28, Athens, Greece., p. 357--364, Brussels, Belgium, August 2015 Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST)
[Official Publication][Free Paper][Slides]
Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
Matthew Forshaw, A.~Stephen McGough, and Nigel Thomas
Electronic Notes in Theoretical Computer Science, 310(0):65 -- 90, 2015
Proceedings of the Seventh International Workshop on the Practical Application of Stochastic Modelling (PASM)
[Official Publication][Free Paper]
Cost Effective, Reliable and Secure Workflow Deployment over Federated Clouds
Zhenyu Wen, Jacek Ca\la, Paul Watson, and Alexander Romanovsky
In 8th IEEE International Conference on Cloud Computing (IEEE CLOUD 2015), 2015
Towards Automated Workflow Deployment in the Cloud using TOSCA
Rawaa Qasha, Jacek Ca\la, and Paul Watson
In 8th IEEE International Conference on Cloud Computing (IEEE CLOUD 2015), 2015
A Leishmaniasis Virtual Laboratory (LVL) to contribute to leishmaniasis surveillance
IP Llanes-Acevedo, GE Ferreira, E Torres, J Cala, C Arcones, PH~Fernandes Shimabukuro, C Chicharro, F Brasileiro, I Blanquer, E Cupolillo, and others
2015
Operating Policies for Energy Efficient Large Scale Computing
Matthew Forshaw
PhD thesis, Newcastle University, UK, 2015
SenseMyHeart: A Cloud Service and API for Wearable Heart Monitors
Pedro~M. Pinto da Silva and Joao~Paulo Cunha
In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), p. 4986--4989, Aug. 2015
Andrew~Stephen *McGough, Budi Arief, Carl Gamble, David Wall, John Brennan, John Fitzgerald, Aad vanMoorsel, Sujeewa Alwis, Georgios Theodoropoulos, and Ed Ruck-Keene
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications,, 6(4):3--46, 2015
[Official Publication][Free Paper]
Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware)
Andrew~Stephen McGough, David Wall, John Brennan, Georgios Theodoropoulos, Ed Ruck-Keene, Budi Arief, Carl Gamble, John Fitzgerald, Aad vanMoorsel, and Sujeewa Alwis
In Proceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats, MIST '15, p. 1--12, New York, NY, USA, 2015 ACM
[Official Publication][Free Paper][Slides]
Data quality assessment and anomaly detection via map / reduce and linked data : a case study in the medical domain.
S. Bonner, S. McGough, I. Kureshi, J. Brennan, G. Theodoropoulos, L. Moss, D. Corsar, and G. Antoniou
In IEEE International Conference on Big Data IEEE, January 2015
[Official Publication][Free Paper][Slides]
Energy-aware simulation of workflow execution in High Throughput Computing systems.
A.~Stephen McGough and Matthew Forshaw
In 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 14-16 October 2015, Chengdu, China ; proceedings. IEEE, October 2015
[Free Paper][Slides]
Flipping the priority : effects of prioritising HTC jobs on energy consumption in a multi-use cluster.
Matthew Forshaw and A.Stephen McGough
In Georgios Theodoropoulos, Gary Tan~Soon Huat, and Claudia Szabo, editors, Proceedings of the 8th International Conference on Simulation Tools and Techniques, SIMUTools '15, August 26-28, Athens, Greece., p. 357--364, Brussels, Belgium, August 2015 Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST)
[Official Publication][Free Paper][Slides]
Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
Matthew Forshaw, A.~Stephen McGough, and Nigel Thomas
Electronic Notes in Theoretical Computer Science, 310(0):65 -- 90, 2015
Proceedings of the Seventh International Workshop on the Practical Application of Stochastic Modelling (PASM)
[Official Publication][Free Paper]
Cost Effective, Reliable and Secure Workflow Deployment over Federated Clouds
Zhenyu Wen, Jacek Ca\la, Paul Watson, and Alexander Romanovsky
In 8th IEEE International Conference on Cloud Computing (IEEE CLOUD 2015), 2015
Towards Automated Workflow Deployment in the Cloud using TOSCA
Rawaa Qasha, Jacek Ca\la, and Paul Watson
In 8th IEEE International Conference on Cloud Computing (IEEE CLOUD 2015), 2015
A Leishmaniasis Virtual Laboratory (LVL) to contribute to leishmaniasis surveillance
IP Llanes-Acevedo, GE Ferreira, E Torres, J Cala, C Arcones, PH~Fernandes Shimabukuro, C Chicharro, F Brasileiro, I Blanquer, E Cupolillo, and others
2015
Operating Policies for Energy Efficient Large Scale Computing
Matthew Forshaw
PhD thesis, Newcastle University, UK, 2015
SenseMyHeart: A Cloud Service and API for Wearable Heart Monitors
Pedro~M. Pinto da Silva and Joao~Paulo Cunha
In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), p. 4986--4989, Aug. 2015
2014
Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems
Matthew Forshaw, Nigel Thomas, and A.~Stephen McGough
In Proceedings of the 2014 IEEE/ACM 18th International Symposium on Distributed Simulation and Real Time Applications, DS-RT '14, p. 27--34, Washington, DC, USA, 2014 IEEE Computer Society
[Official Publication][Free Paper][Slides]
On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
Matthew Forshaw, A.S.McGough, and Nigel Thomas
In 3rd International Conference on Smart Grids and Green IT systems, Barcelona, Spain, Apr. 2014
[Free Paper]
Energy-efficient checkpointing in high-throughput cycle-stealing distributed systems
Matthew Forshaw, A.~Stephen McGough, and Nigel Thomas
In Seventh International Workshop on Practical Applications of Stochastic Modelling (PASM), 2014
[Free Paper]
Comparison of a cost-effective virtual Cloud cluster with an existing campus cluster
A~Stephen McGough, Matthew Forshaw, Clive Gerrard, Stuart Wheater, Ben Allen, and Paul Robinson
Future Generation Computer Systems, 2014
[Official Publication][Free Paper]
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning
A~Stephen McGough and Matthew Forshaw
Sustainable Computing: Informatics and Systems, 2014
[Official Publication][Free Paper]
Optimal Hiring of Cloud Servers
AndrewStephen McGough and Isi Mitrani
In Andras Horvath and Katinka Wolter, editors, Computer Performance Engineering, volume 8721 of Lecture Notes in Computer Science, p. 1--15 Springer International Publishing, 2014
[Official Publication][Free Paper][Slides]
Modelling 50,000 Years of Landscape Evolution in the Upper Thames Valley, UK: Preliminary Results from PARALLEM
J Wainwright, D Maddy, AS McGough, A Trueman, RM Briant, and C Stemerdink
pres, San Fransisco, USA, Dec. 2014
[Free Paper]
From scripted HPC-based NGS pipelines to workflows on the cloud
Jacek Ca\la, Yaobo Xu, Eldarina~Azfar Wijaya, and Paolo Missier
In First International Worshop on Cloud for Bio (C4Bio), 2014
A scalable method for partitioning workflows with security requirements over federated clouds
Zhenyu Wen, Jacek Cala, and Paul Watson
In 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, p. 122--129 IEEE, 2014
On the Privacy of Private Browsing - A Forensic Approach
Kiavash Satvat, Matthew Forshaw, Feng Hao, and Ehsan Toreini
Journal of Information Security and Applications, 19(1):88--100, 2014
Operating policies for energy efficient dynamic server allocation
Thai~Ha Nguyen, Matthew Forshaw, and Nigel Thomas
In 30th Annual UK Performance Engineering Workshop (UKPEW 2014), 2014
Matthew Forshaw, Nigel Thomas, and A.~Stephen McGough
In Proceedings of the 2014 IEEE/ACM 18th International Symposium on Distributed Simulation and Real Time Applications, DS-RT '14, p. 27--34, Washington, DC, USA, 2014 IEEE Computer Society
[Official Publication][Free Paper][Slides]
On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
Matthew Forshaw, A.S.McGough, and Nigel Thomas
In 3rd International Conference on Smart Grids and Green IT systems, Barcelona, Spain, Apr. 2014
[Free Paper]
Energy-efficient checkpointing in high-throughput cycle-stealing distributed systems
Matthew Forshaw, A.~Stephen McGough, and Nigel Thomas
In Seventh International Workshop on Practical Applications of Stochastic Modelling (PASM), 2014
[Free Paper]
Comparison of a cost-effective virtual Cloud cluster with an existing campus cluster
A~Stephen McGough, Matthew Forshaw, Clive Gerrard, Stuart Wheater, Ben Allen, and Paul Robinson
Future Generation Computer Systems, 2014
[Official Publication][Free Paper]
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning
A~Stephen McGough and Matthew Forshaw
Sustainable Computing: Informatics and Systems, 2014
[Official Publication][Free Paper]
Optimal Hiring of Cloud Servers
AndrewStephen McGough and Isi Mitrani
In Andras Horvath and Katinka Wolter, editors, Computer Performance Engineering, volume 8721 of Lecture Notes in Computer Science, p. 1--15 Springer International Publishing, 2014
[Official Publication][Free Paper][Slides]
Modelling 50,000 Years of Landscape Evolution in the Upper Thames Valley, UK: Preliminary Results from PARALLEM
J Wainwright, D Maddy, AS McGough, A Trueman, RM Briant, and C Stemerdink
pres, San Fransisco, USA, Dec. 2014
[Free Paper]
From scripted HPC-based NGS pipelines to workflows on the cloud
Jacek Ca\la, Yaobo Xu, Eldarina~Azfar Wijaya, and Paolo Missier
In First International Worshop on Cloud for Bio (C4Bio), 2014
A scalable method for partitioning workflows with security requirements over federated clouds
Zhenyu Wen, Jacek Cala, and Paul Watson
In 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, p. 122--129 IEEE, 2014
On the Privacy of Private Browsing - A Forensic Approach
Kiavash Satvat, Matthew Forshaw, Feng Hao, and Ehsan Toreini
Journal of Information Security and Applications, 19(1):88--100, 2014
Operating policies for energy efficient dynamic server allocation
Thai~Ha Nguyen, Matthew Forshaw, and Nigel Thomas
In 30th Annual UK Performance Engineering Workshop (UKPEW 2014), 2014
2013
Analysis of power-saving techniques over a large multi-use cluster with variable workload
Andrew~Stephen McGough, Matthew Forshaw, Clive Gerrard, Paul Robinson, and Stuart Wheater
Concurrency and Computation: Practice and Experience, p. n/a--n/a, 2013
[Official Publication][Free Paper]
Flood modelling for cities using Cloud computing
Vassilis Glenis, Andrew~Stephen McGough, Vedrana Kutija, Chris Kilsby, and Simon Woodman
Journal of Cloud Computing: Advances, Systems and Applications, 2(7):18, 2013
[Official Publication][Free Paper]
Using the Cloud - the Newcastle experience
A.S. McGough, Vassilis Glenis, Chris Kilsby, Vedrana Kutija, and Simon Wodman
Keynote, University of Sussex, Jan. 2013
[Slides]
Urban flood modelling using cloud computing
Vassilis Glenis, Vedrana Kutija, Chris Kilsby, Andrew McGough, and Simon Woodman
International Conference on Flood Resilience, ICFR, Experiences in Asia and Europe, 5-7 September 2013, University of Exeter, United Kingdom, Sep. 2013
[Free Paper]
Cloud Computing for Fast Prediction of Chemical Activity.
Jacek Ca\la, Hugo Hiden, Simon Woodman, and Paul Watson
Future Generation Computer Systems, 2013
Developing cloud applications using the e-Science Central platform
Hugo Hiden, Simon Woodman, Paul Watson, and Jacek Cala
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371(1983):20120085, 2013
Supporting NGS Pipelines in the cloud
Ignacio~Blanquer Blanquer, Goetz Brasche, Jacek Cala, Fabrizio Gagliardi, Dennis Gannon, Hugo Hiden, Hakan Soncu, Kenji Takeda, Andrés Tom\'as, and Simon Woodman
EMBnet. journal, 19(A):14--16, 2013
Time-inhomogeneous Population Models of a Cycle-Stealing Distributed System
Jeremy~T Bradley, Matthew Forshaw, Anton Stefanek, and Nigel Thomas
UKPEW 2013, p. 8, 2013
On The Privacy of Private Browsing-A Forensic Approach (short paper
Kiavash Satvat, Matthew Forshaw, Feng Hao, and Ehsan Toreini
In Proceedings of the 8th International Workshop on Data Privacy Management (DPM’13 Citeseer, 2013
Andrew~Stephen McGough, Matthew Forshaw, Clive Gerrard, Paul Robinson, and Stuart Wheater
Concurrency and Computation: Practice and Experience, p. n/a--n/a, 2013
[Official Publication][Free Paper]
Flood modelling for cities using Cloud computing
Vassilis Glenis, Andrew~Stephen McGough, Vedrana Kutija, Chris Kilsby, and Simon Woodman
Journal of Cloud Computing: Advances, Systems and Applications, 2(7):18, 2013
[Official Publication][Free Paper]
Using the Cloud - the Newcastle experience
A.S. McGough, Vassilis Glenis, Chris Kilsby, Vedrana Kutija, and Simon Wodman
Keynote, University of Sussex, Jan. 2013
[Slides]
Urban flood modelling using cloud computing
Vassilis Glenis, Vedrana Kutija, Chris Kilsby, Andrew McGough, and Simon Woodman
International Conference on Flood Resilience, ICFR, Experiences in Asia and Europe, 5-7 September 2013, University of Exeter, United Kingdom, Sep. 2013
[Free Paper]
Cloud Computing for Fast Prediction of Chemical Activity.
Jacek Ca\la, Hugo Hiden, Simon Woodman, and Paul Watson
Future Generation Computer Systems, 2013
Developing cloud applications using the e-Science Central platform
Hugo Hiden, Simon Woodman, Paul Watson, and Jacek Cala
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371(1983):20120085, 2013
Supporting NGS Pipelines in the cloud
Ignacio~Blanquer Blanquer, Goetz Brasche, Jacek Cala, Fabrizio Gagliardi, Dennis Gannon, Hugo Hiden, Hakan Soncu, Kenji Takeda, Andrés Tom\'as, and Simon Woodman
EMBnet. journal, 19(A):14--16, 2013
Time-inhomogeneous Population Models of a Cycle-Stealing Distributed System
Jeremy~T Bradley, Matthew Forshaw, Anton Stefanek, and Nigel Thomas
UKPEW 2013, p. 8, 2013
On The Privacy of Private Browsing-A Forensic Approach (short paper
Kiavash Satvat, Matthew Forshaw, Feng Hao, and Ehsan Toreini
In Proceedings of the 8th International Workshop on Data Privacy Management (DPM’13 Citeseer, 2013
2012
Massively parallel Landscape-Evolution Modelling using General Purpose Graphical Processing Units
A.S.McGough, Shun Liang, Markus Rapoportas, Darrel Maddy, Adam Trueman, and John Wainwright
In 19th Annual International Conference on High Performance Computing (HiPC 2012), Winner "NVIDIA best paper award", Pune, India, Dec. 2012
[Official Publication][Free Paper][Slides]
Reducing the number of miscreant tasks executions in a multi-use cluster
A.S.McGough, Matthew Forshaw, Clive Gerrard, and Stuart Wheater
In International Conference on Cloud and Green Computing (CGC 2012), Xiangtan, China, Nov. 2012
[Official Publication][Free Paper][Slides]
The Cutting Edge: Discoverability for Historical Artifacts
A.S.McGough, Mark Turner, Derek Mortimer, Simon Woodman, and Paul Watson
eScience, Chicago, USA, Oct. 2012
[Slides]
Practical Insights of HPC/HTC on the Cloud
A.S. McGough, Vassilis Glenis, Chris Kilsby, Vedrana Kutija, and Simon Wodman
Keynote, Networkshop 40, Apr. 2012
[Slides]
Fast Exploration of the QSAR Model Space with e--Science Central and Windows Azure
Jacek Ca\la, Hugo Hiden, Simon Woodman, and Paul Watson
2012
Cloud computing for fast prediction of chemical activity
Jacek Ca\la, Hugo Hiden, Paul Watson, and Simon Woodman
In 2nd International Workshop on Cloud Computing and Scientific Applications (CCSA), 2012
Developing cloud applications using the e-Science
Hugo Hiden, Simon Woodman, Paul Watson, and Jacek Cala
2012
A novel approach to energy efficient content distribution with BitTorrent
Matthew Forshaw and Nigel Thomas
In Computer Performance Engineering, p. 188--196 Springer Berlin Heidelberg, 2012
A.S.McGough, Shun Liang, Markus Rapoportas, Darrel Maddy, Adam Trueman, and John Wainwright
In 19th Annual International Conference on High Performance Computing (HiPC 2012), Winner "NVIDIA best paper award", Pune, India, Dec. 2012
[Official Publication][Free Paper][Slides]
Reducing the number of miscreant tasks executions in a multi-use cluster
A.S.McGough, Matthew Forshaw, Clive Gerrard, and Stuart Wheater
In International Conference on Cloud and Green Computing (CGC 2012), Xiangtan, China, Nov. 2012
[Official Publication][Free Paper][Slides]
The Cutting Edge: Discoverability for Historical Artifacts
A.S.McGough, Mark Turner, Derek Mortimer, Simon Woodman, and Paul Watson
eScience, Chicago, USA, Oct. 2012
[Slides]
Practical Insights of HPC/HTC on the Cloud
A.S. McGough, Vassilis Glenis, Chris Kilsby, Vedrana Kutija, and Simon Wodman
Keynote, Networkshop 40, Apr. 2012
[Slides]
Fast Exploration of the QSAR Model Space with e--Science Central and Windows Azure
Jacek Ca\la, Hugo Hiden, Simon Woodman, and Paul Watson
2012
Cloud computing for fast prediction of chemical activity
Jacek Ca\la, Hugo Hiden, Paul Watson, and Simon Woodman
In 2nd International Workshop on Cloud Computing and Scientific Applications (CCSA), 2012
Developing cloud applications using the e-Science
Hugo Hiden, Simon Woodman, Paul Watson, and Jacek Cala
2012
A novel approach to energy efficient content distribution with BitTorrent
Matthew Forshaw and Nigel Thomas
In Computer Performance Engineering, p. 188--196 Springer Berlin Heidelberg, 2012
2011
Development, implementation, and multicenter clinical validation of the TeleDICOM—advanced, interactive teleconsultation system
Andrzej Gackowski, \Lukasz Czekierda, Anton Chrustowicz, Jacek Ca\la, Micha\l Nowak, Jerzy Sadowski, Piotr Podolec, Mieczys\law Pasowicz, and Krzysztof Zieli\'nski
Journal of digital imaging, 24(3):541--551, 2011
Iris Segmentation using an Edge Detector based on Fuzzy Sets Theory and Cellular Learning Automata
Afshin Ghanizadeh, Amir Atapour-Abarghouei, Saman Sinaie, Puteh Saad, and Siti~Mariyam Shamsuddin
Applied optics, 50(19):3191--3200, 2011
[Official Publication][Free Paper]
GPGPU Accelerated Landscape-Evolution Modelling
D. Maddy, A.~S. McGough, J. Wainwright, and A. Trueman
p. A1, Dec. 2011
Analysis of Power-Saving Techniques over a large multi-use Cluster
A.S.McGough, Clive Gerrard, Jonathan Noble, Paul Robinson, and Stuart Wheater
In International Conference on Cloud and Green Computing (CGC 2011), Sydney, Australia, Dec. 2011
[Official Publication]
Developing a cost-effective virtual cluster on the Cloud
A.S.McGough
In 8th International Workshop on the Economics and Business of Grids, Clouds, Systems, and Services (GECON 2011), Paphos, Cypress, Dec. 2011
[Official Publication]
Parallel computing, myths and truths
A.S. McGough
Seminar, Newcastle, UK, Nov. 2011
The panel of experts cloud pattern
Paul Watson, Hugo~G Hiden, Simon~J Woodman, David~E Leahy, Jacek Ca\la, and Paolo Missier
In Proceedings of the third international workshop on Cloud data management, p. 23--24, 2011
Developing applications using the e-science central api
Simon Woodman, Hugo Hiden, Paul Watson, and Jacek Cala
In Proceedings of the 2011 e-Science All Hands Meeting, 2011
Cloud computing for chemical activity prediction
Paul Watson, David Leahy, Jacek Cala, Vladimir Sykora, Hugo Hiden, Simon Woodman, Martyn Taylor, and Dominic Searson
School of Computing Science Technical Report Series, 2011
Andrzej Gackowski, \Lukasz Czekierda, Anton Chrustowicz, Jacek Ca\la, Micha\l Nowak, Jerzy Sadowski, Piotr Podolec, Mieczys\law Pasowicz, and Krzysztof Zieli\'nski
Journal of digital imaging, 24(3):541--551, 2011
Iris Segmentation using an Edge Detector based on Fuzzy Sets Theory and Cellular Learning Automata
Afshin Ghanizadeh, Amir Atapour-Abarghouei, Saman Sinaie, Puteh Saad, and Siti~Mariyam Shamsuddin
Applied optics, 50(19):3191--3200, 2011
[Official Publication][Free Paper]
GPGPU Accelerated Landscape-Evolution Modelling
D. Maddy, A.~S. McGough, J. Wainwright, and A. Trueman
p. A1, Dec. 2011
Analysis of Power-Saving Techniques over a large multi-use Cluster
A.S.McGough, Clive Gerrard, Jonathan Noble, Paul Robinson, and Stuart Wheater
In International Conference on Cloud and Green Computing (CGC 2011), Sydney, Australia, Dec. 2011
[Official Publication]
Developing a cost-effective virtual cluster on the Cloud
A.S.McGough
In 8th International Workshop on the Economics and Business of Grids, Clouds, Systems, and Services (GECON 2011), Paphos, Cypress, Dec. 2011
[Official Publication]
Parallel computing, myths and truths
A.S. McGough
Seminar, Newcastle, UK, Nov. 2011
The panel of experts cloud pattern
Paul Watson, Hugo~G Hiden, Simon~J Woodman, David~E Leahy, Jacek Ca\la, and Paolo Missier
In Proceedings of the third international workshop on Cloud data management, p. 23--24, 2011
Developing applications using the e-science central api
Simon Woodman, Hugo Hiden, Paul Watson, and Jacek Cala
In Proceedings of the 2011 e-Science All Hands Meeting, 2011
Cloud computing for chemical activity prediction
Paul Watson, David Leahy, Jacek Cala, Vladimir Sykora, Hugo Hiden, Simon Woodman, Martyn Taylor, and Dominic Searson
School of Computing Science Technical Report Series, 2011
2010
A Novel Solution to Travelling Salesman Problem using Fuzzy Sets, Gravitational Search Algorithm, and Genetic Algorithm
Amir Atapour-Abarghouei
PhD thesis, Universiti Teknologi Malaysia, 2010
A Robust Fuzzy and Cellular Learning Automata Edge Detection and Enhancement Method
Afshin Ghanizadeh, Saman Sinaie, Amir Atapour-Abarghouei, Emadaldin Mozafari-Majd, and Siti~Mariyam Shamsuddin
In Int. Conf. Image Processing, Computer Vision, and Pattern Recognition, p. 551--556, 2010
A Modified PSO Method Enhanced with Fuzzy Inference System for Solving the Planar Graph Coloring Problem
Mostafa Erfani, Afshin Ghanizadeh, Amir Atapour-Abarghouei, Saman Sinaie, and S.M. Shamsuddin
In Int. Conf. Artificial Intelligence, p. 160--165, 2010
Adding Standards Based Job Submission to a Commodity Grid Broker
D.J. Colling, A.S.McGough, Tiejun Ma, Vesso Novov, Jazz~Mack Smith, David Wallom, and Xin Xiong
In International Symposium on Advanced Topics on Information Technologies and Applications (ITA 2010), Bradford, UK, June 2010
[Official Publication]
Intelligent Power Management over Large Clusters
A.S. McGough, Paul Robinson, Clive Gerrard, Paul Haldane, Sindre Hamlander, Dave Sharples, Dan Swan, and Stuart Wheater
In The 2010 International Conference on Green Computing and Communications (GreenCom2010), Hangzhou, China, Dec. 2010
[Official Publication]
Real Time Monitor of Grid job executions
D.J. Colling, J Martyniak, A.S.McGough, A Krenek, J Sitera, M Mulac, and F Dvor·k
Journal of Physics: Conference Series, 219(6):062020, 2010
[Free Paper]
Intelligent Power Management over Large Clusters
A.S. McGough, Clive Gerrard, Paul Haldane, Sindre Hamlander, Paul Robinson, and Dave Sharples
Sep. 2010
in UK All Hands Meeting, Cardiff, UK
[Free Paper][Slides]
Processing Data Intensive Matlab Jobs through Condor
A.S. McGough and Fanar~M. Abed
Sep. 2010
in UK All Hands Meeting, Cardiff, UK
[Free Paper][Slides]
Automatic software deployment in the azure cloud
Jacek Ca\la and Paul Watson
In IFIP International Conference on Distributed Applications and Interoperable Systems, p. 155--168 Springer, Berlin, Heidelberg, 2010
Adaptive Deployment of Component-based Applications in Distributed Systems
Jacek Ca\la
PhD thesis, AGH-University of Science and Technology, 2010
Accelerating Chemical Property Prediction with Cloud Computing
H Hiden, P Watson, D Leahy, J Cala, D Searson, V Sykora, and S Woodman
In Microsoft e-Science Workshop Newcastle University, 2010
e-Science Central: e-Science on the Web, powered by Clouds
Paul Watson, Hugo Hiden, Simon Woodman, David Leahy, and Jacek Cala
In UK e-Science All Hands Meeting Newcastle University, 2010
Wdro\.zenie i wieloo\'srodkowa ocena przydatno\'sci klinicznej polskiego systemu telekonsultacji angiograficznych TeleDICOM--analiza kwalifikacji operacyjnej 735 pacjent\'ow
Andrzej Gackowski, \Lukasz Czekierda, Jacek Ca\la, Jerzy Sadowski, Micha\l Nowak, Tomasz Masternak, Mieczys\law Pasowicz, Bogdan Kapelak, Jerzy Samitowski, Roman Pfitzner, and others
2010
Amir Atapour-Abarghouei
PhD thesis, Universiti Teknologi Malaysia, 2010
A Robust Fuzzy and Cellular Learning Automata Edge Detection and Enhancement Method
Afshin Ghanizadeh, Saman Sinaie, Amir Atapour-Abarghouei, Emadaldin Mozafari-Majd, and Siti~Mariyam Shamsuddin
In Int. Conf. Image Processing, Computer Vision, and Pattern Recognition, p. 551--556, 2010
A Modified PSO Method Enhanced with Fuzzy Inference System for Solving the Planar Graph Coloring Problem
Mostafa Erfani, Afshin Ghanizadeh, Amir Atapour-Abarghouei, Saman Sinaie, and S.M. Shamsuddin
In Int. Conf. Artificial Intelligence, p. 160--165, 2010
Adding Standards Based Job Submission to a Commodity Grid Broker
D.J. Colling, A.S.McGough, Tiejun Ma, Vesso Novov, Jazz~Mack Smith, David Wallom, and Xin Xiong
In International Symposium on Advanced Topics on Information Technologies and Applications (ITA 2010), Bradford, UK, June 2010
[Official Publication]
Intelligent Power Management over Large Clusters
A.S. McGough, Paul Robinson, Clive Gerrard, Paul Haldane, Sindre Hamlander, Dave Sharples, Dan Swan, and Stuart Wheater
In The 2010 International Conference on Green Computing and Communications (GreenCom2010), Hangzhou, China, Dec. 2010
[Official Publication]
Real Time Monitor of Grid job executions
D.J. Colling, J Martyniak, A.S.McGough, A Krenek, J Sitera, M Mulac, and F Dvor·k
Journal of Physics: Conference Series, 219(6):062020, 2010
[Free Paper]
Intelligent Power Management over Large Clusters
A.S. McGough, Clive Gerrard, Paul Haldane, Sindre Hamlander, Paul Robinson, and Dave Sharples
Sep. 2010
in UK All Hands Meeting, Cardiff, UK
[Free Paper][Slides]
Processing Data Intensive Matlab Jobs through Condor
A.S. McGough and Fanar~M. Abed
Sep. 2010
in UK All Hands Meeting, Cardiff, UK
[Free Paper][Slides]
Automatic software deployment in the azure cloud
Jacek Ca\la and Paul Watson
In IFIP International Conference on Distributed Applications and Interoperable Systems, p. 155--168 Springer, Berlin, Heidelberg, 2010
Adaptive Deployment of Component-based Applications in Distributed Systems
Jacek Ca\la
PhD thesis, AGH-University of Science and Technology, 2010
Accelerating Chemical Property Prediction with Cloud Computing
H Hiden, P Watson, D Leahy, J Cala, D Searson, V Sykora, and S Woodman
In Microsoft e-Science Workshop Newcastle University, 2010
e-Science Central: e-Science on the Web, powered by Clouds
Paul Watson, Hugo Hiden, Simon Woodman, David Leahy, and Jacek Cala
In UK e-Science All Hands Meeting Newcastle University, 2010
Wdro\.zenie i wieloo\'srodkowa ocena przydatno\'sci klinicznej polskiego systemu telekonsultacji angiograficznych TeleDICOM--analiza kwalifikacji operacyjnej 735 pacjent\'ow
Andrzej Gackowski, \Lukasz Czekierda, Jacek Ca\la, Jerzy Sadowski, Micha\l Nowak, Tomasz Masternak, Mieczys\law Pasowicz, Bogdan Kapelak, Jerzy Samitowski, Roman Pfitzner, and others
2010
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