Dr Matthew Forshaw
Rachel Gray
Dr Evelyn Jensen
| Constraint optimisation approaches for designing group-living captive breeding programmes | 2025 |
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Dr Anirban Bhattacharyya
Dr Matthew Forshaw
Dr David Golightly
Seb Merricks
Professor Roberto Palacin
et al. | Using Time Signal at Red (Tsar) as a Tool for Analysing Rail Network Performance | 2025 |
|
Fulong Yao
Dr Wanqing Zhao
Dr Matthew Forshaw
| A New Error Temporal Difference Algorithm for Deep Reinforcement Learning in Microgrid Optimization | 2024 |
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Dr Jordan Oakley
Dr Matthew Forshaw
Dr Pete Philipson
Professor Kevin Wilson
| Examining the impact of critical attributes on hard drive failure times: Multi-state models for left-truncated and right-censored semi-competing risks data | 2024 |
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Dr Osman Akbulut
Muhammed Cavus
Mehmet Cengiz
Dr Adib Allahham
Professor Damian Giaouris
et al. | Hybrid Intelligent Control System for Adaptive Microgrid Optimization: Integration of Rule-Based Control and Deep Learning Techniques | 2024 |
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Dr Robert Geada
David Towers
Dr Matthew Forshaw
Dr Amir Atapour Abarghouei
Dr Stephen McGough
et al. | Insights from the Use of Previously Unseen Neural Architecture Search Datasets | 2024 |
|
Sarah Alsufyani
Dr Matthew Forshaw
Dr Silvia Del Din
Professor Alison Yarnall
Professor Lynn Rochester
et al. | Multi-level visualization for exploration of structures in missing data. | 2024 |
|
Hassan Laghbi
Dr Nigel Thomas
Dr Matthew Forshaw
| Slotted and Token-based Overlays for Vehicular Platooning | 2024 |
|
Dr Paul Omoregbee
Dr Matthew Forshaw
Dr Nigel Thomas
| A State-Size Inclusive Approach to Optimizing Stream Processing Applications | 2023 |
|
Dr Stuart Jamieson
Dr Matthew Forshaw
| On Improving Streaming System Autoscaler Behaviour using Windowing and Weighting Methods | 2023 |
|
Mehmet Cengiz
Dr Matthew Forshaw
Dr Amir Atapour Abarghouei
Dr Stephen McGough
| Predicting the Performance of a Computing System with Deep Networks | 2023 |
|
Dr Osman Akbulut
Lucy Mclaughlin
Dr Tong Xin
Dr Matthew Forshaw
Professor Nick Holliman
et al. | Visualizing ordered bivariate data on node-link diagrams | 2023 |
|
Dr Matthew Forshaw
Dr Rhona Sinclair
Dr Christopher Snowden
| Identifying the limitations of cardiopulmonary exercise testing prior to esophagectomy using a pooled analysis of patient-level data | 2022 |
|
Alex Kell
Dr Stephen McGough
Dr Matthew Forshaw
| The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets | 2021 |
|
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
| Deep Reinforcement Learning in Electricity Generation Investment for the Minimization of Long-Term Carbon Emissions and Electricity Costs | 2020 |
|
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
| Long-term electricity market agent based model validation using genetic algorithm based optimization | 2020 |
|
Alex Kell
Dr Stephen McGough
Dr Matthew Forshaw
| Optimizing carbon tax for decentralized electricity markets using an agent-based model | 2020 |
|
Osama Alrajeh
Dr Matthew Forshaw
Dr Nigel Thomas
| Virtual Machine Live Migration in Trace-driven Energy-Aware Simulation of High-Throughput Computing Systems | 2020 |
|
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
| ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning | 2019 |
|
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
| Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model | 2019 |
|
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
| Optimising energy and overhead for large parameter space simulations | 2019 |
|
Osama Alrajeh
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
| Simulation of Virtual Machine Live Migration in High Throughput Computing Environments | 2019 |
|
Dr Adam Cattermole
Dr Matthew Forshaw
| An Automated Approach to Cloud Performance Benchmarking | 2018 |
|
Dr Matthew Forshaw
Dr Stephen McGough
| Clustering Vehicles based on Trips Identified from Automatic Number Plate Recognition Camera Scans | 2018 |
|
Dr Stephen McGough
Dr Matthew Forshaw
| Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment | 2018 |
|
Dr Stephen McGough
Dr Matthew Forshaw
| Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM) | 2018 |
|
Alex Kell
Dr Stephen McGough
Dr Matthew Forshaw
| Segmenting Residential Smart Meter Data for Short-Term Load Forecasting | 2018 |
|
Dr Matthew Forshaw
| Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows | 2018 |
|
Dr Stephen McGough
Dr Matthew Forshaw
Dr John Brennan
Dr Noura Al Moubayed
| Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments | 2018 |
|
Dr Nigel Thomas
Dr Matthew Forshaw
| Analytical and Stochastic Modelling Techniques and Applications | 2017 |
|
Saleh Mohamed
Dr Matthew Forshaw
Dr Nigel Thomas
| Automatic Generation of Distributed Run-time Infrastructure for Internet of Things (IoT) | 2017 |
|
Dr Matthew Forshaw
| Experience Report: How to Design Web-Based Competitions for Legal Proceedings: Lessons from a Court Case | 2017 |
|
Osama Alrajeh
Dr Matthew Forshaw
Dr Nigel Thomas
| Machine Learning Models for Predicting Timely Virtual Machine Live Migration | 2017 |
|
Osama Alrajeh
Dr Matthew Forshaw
Dr Nigel Thomas
| Machine learning models for predicting timely virtual machine live migration | 2017 |
|
Saleh Mohamed
Dr Matthew Forshaw
Dr Nigel Thomas
| Performance and dependability evaluation of distributed event-based systems: a dynamic code-injection approach | 2017 |
|
James Allen
Dr Matthew Forshaw
Dr Nigel Thomas
| Towards an accurate and scalable energy harvesting wireless sensor network simulator model framework | 2017 |
|
Dr Stephen McGough
Dr Matthew Forshaw
| Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems | 2017 |
|
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
| HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems | 2016 |
|
Dr Matthew Forshaw
Dr Ellis Solaiman
Oonagh McGee
Dr Paul Robinson
Ryan Emerson
et al. | Meeting Graduate Employability Needs through Open-source Collaboration with Industry | 2016 |
|
Oonagh McGee
Dr Matthew Forshaw
Professor Steve Caughey
| Out of the comfort zone: Embedding entrepreneurship in a cohort of computer science doctoral students | 2016 |
|
Oonagh McGee
Dr Matthew Forshaw
Barry Hodgson
Professor Steve Caughey
| Out of the Comfort Zone: Embedding Entrepreneurship in a Cohort of Computer Science Doctoral Students | 2016 |
|
Osama Alrajeh
Dr Matthew Forshaw
Dr Nigel Thomas
| Performance of Virtual Machine Live Migration with Various Workloads | 2016 |
|
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
| The case for energy-aware simulation and modelling of internet of things (IoT) | 2016 |
|
Dr Stephen McGough
Dr Matthew Forshaw
Dr Clive Gerrard
Dr Stuart Wheater
Dr Ben Allen
et al. | Comparison of a cost-effective virtual Cloud cluster with an existing campus cluster | 2015 |
|
Dr Stephen McGough
Dr Matthew Forshaw
| Energy-aware simulation of workflow execution in High Throughput Computing systems | 2015 |
|
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
| Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems | 2015 |
|
Dr Matthew Forshaw
Dr Stephen McGough
| Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster | 2015 |
|
Dr Matthew Forshaw
Dr Nigel Thomas
| Operating policies for energy efficient dynamic server allocation | 2015 |
|
Dr Matthew Forshaw
Dr Stephen McGough
| Reduction of wasted energy in a volunteer computing system through Reinforcement Learning | 2015 |
|
Dr Matthew Forshaw
Dr Nigel Thomas
| Time-inhomogeneous Population Models of a Cycle-Stealing Distributed System | 2015 |
|
Dr Matthew Forshaw
Dr Nigel Thomas
Dr Stephen McGough
| Trace-driven simulation for energy consumption in High Throughput Computing systems | 2015 |
|
Dr Stephen McGough
Dr Matthew Forshaw
Dr Stuart Wheater
Dr Ben Allen
| Comparison of a cost-effective virtual cloud cluster with an existing campus cluster | 2014 |
|
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
| Energy-efficient checkpointing in high-throughput cycle-stealing distributed systems | 2014 |
|
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
| On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems | 2014 |
|
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
| On energy-efficient checkpointing in high-throughput cycle-stealing distributed systems | 2014 |
|
Dr Matthew Forshaw
Professor Feng Hao
Ehsan Toreini
| On the privacy of private browsing - A forensic approach | 2014 |
|
Dr Matthew Forshaw
Professor Feng Hao
Ehsan Toreini
| On the Privacy of Private Browsing - A Forensic Approach | 2014 |
|
Dr Matthew Forshaw
Professor Feng Hao
Dr Ehsan Toreini
| On The Privacy Of Private Browsing - A Forensic Approach (short paper) | 2014 |
|
Dr Matthew Forshaw
Dr Nigel Thomas
| Operating policies for energy efficient dynamic server allocation | 2014 |
|
Dr Stephen McGough
Dr Matthew Forshaw
| Reduction of wasted energy in a volunteer computing system through Reinforcement Learning | 2014 |
|
Dr Matthew Forshaw
Dr Nigel Thomas
Dr Stephen McGough
| Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems | 2014 |
|
Dr Stephen McGough
Dr Matthew Forshaw
Dr Clive Gerrard
Dr Paul Robinson
Dr Stuart Wheater
et al. | Analysis of power-saving techniques over a large multi-use cluster with variable workload | 2013 |
|
Dr Matthew Forshaw
Professor Feng Hao
Ehsan Toreini
| On the Privacy of Private Browsing - A Forensic Approach | 2013 |
|
Dr Matthew Forshaw
Dr Nigel Thomas
| A Novel Approach to Energy Efficient Content Distribution with BitTorrent | 2012 |
|
Dr Stephen McGough
Dr Matthew Forshaw
Dr Clive Gerrard
Dr Stuart Wheater
| Reducing the number of miscreant tasks executions in a multi-use cluster | 2012 |
|
Dr Matthew Forshaw
| A Comparative Study of System Designs for distributed file processing | 2010 |
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