Matthew Forshaw

90 papers A* 3A 2B 7C 4Journal 31Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Monitor, Mitigate, Moderate: Backpressure in Stream Benchmark Generators. ICPE Companion Iain Dixon, Matthew Forshaw, Joe Matthews
2025	J	`jnl`	A New Error Temporal Difference Algorithm for Deep Reinforcement Learning in Microgrid Optimization. CoRR Fulong Yao, Wanqing Zhao, Matthew Forshaw
2025	J	`jnl`	A self-organizing interval type-2 fuzzy neural network for multi-step time series prediction. Appl. Soft Comput. Fulong Yao, Wanqing Zhao, Matthew Forshaw, Yang Song
2025	J	`jnl`	A unified data-driven approach under deep reinforcement learning with direct control responses for microgrid operations. Knowl. Based Syst. Fulong Yao, Wanqing Zhao, Matthew Forshaw, Wenju Zhou
2025	C	`conf`	Are large screens effective at supporting the analysis of delay visualizations? IV Aljawharah Almajyul, Daniel Archambault, Matthew Forshaw
2025	A*	`conf`	Constraint Optimisation Approaches for Designing Group-Living Captive Breeding Programmes. AAAI Matthew Forshaw, Rachel Gray, Bridgett vonHoldt, Alexander Ochoa, Joshua M. Miller, Kristin E. Brzeski, Adalgisa Caccone, Evelyn L. Jensen
2025	J	`jnl`	Data Science Students Perspectives on Learning Analytics: An Application of Human-Led and LLM Content Analysis. CoRR Raghda Zahran, Jianfei Xu, Huizhi Liang, Matthew Forshaw
2025	—	`conf`	Fairness in Student Allocation and Group Formation. ITiCSE (2) Matthew Forshaw, Cristina Adriana Alexandru, Caitlin M. Bentley, Vladimiro González-Zelaya, Joseph Kwame Adjei, Vangel V. Ajanovski, Mireilla Bikanga Ada, Julian Brooks, Joshua Burridge, Alex Chao, Rutwa Engineer, Olga Glebova, Tasmina Islam, Mitsuka Kiyohara, Shao-Heng Ko, Ellert Smári Kristbergsson, Svetlana Peltsverger, Seán Russell, Maíra Marques Samary, Merel Steenbergen, Carolin Wortmann
2025	—	`conf`	Fairness in Student Group Formation: Perspectives, Priorities, Compromises, Mechanisms, and Tooling. ITiCSE-WGR Matthew Forshaw, Cristina Adriana Alexandru, Caitlin M. Bentley, Vladimiro González-Zelaya, Vangel V. Ajanovski, Mireilla Bikanga Ada, Julian Brooks, Joshua Burridge, Alex Chao, Rutwa Engineer, Olga Glebova, Tasmina Islam, Mitsuka Kiyohara, Shao-Heng Ko, Ellert Smári Kristbergsson, Svetlana Peltsverger, Seán Russell, Maíra Marques Samary, Merel Steenbergen, Carolin Wortmann
2025	J	`jnl`	Using Time Signal at Red (TSAR) as a tool for analysing rail network performance. J. Rail Transp. Plan. Manag. Anirban Bhattacharyya, Matthew Forshaw, David Golightly, Seb Merricks, Roberto Palacin, Ken G. Pierce, Pedro Pinto da Silva
2024	J	`jnl`	A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning. CoRR Fulong Yao, Wanqing Zhao, Matthew Forshaw, Yang Song
2024	J	`jnl`	A New Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction. CoRR Fulong Yao, Wanqing Zhao, Matthew Forshaw, Yang Song
2024	—	`conf`	A Plan for a Joint Study into the Impacts of AI on Professional Competencies of IT Professionals and Implications for Computing Students. ITiCSE (2) Tony Clear, Åsa Cajander, Alison Clear, Roger McDermott, Andreas Bergqvist, Mats Daniels, Monica Divitini, Matthew Forshaw, Niklas Humble, Maria Kasinidou, Styliani Kleanthous, Can Kültür, Ghazaleh Parvini, Mohammad Polash, Tingting Zhu
2024	—	`conf`	AI Integration in the IT Professional Workplace: A Scoping Review and Interview Study with Implications for Education and Professional Competencies. ITiCSE-WGR Tony Clear, Åsa Cajander, Alison Clear, Roger McDermott, Mats Daniels, Monica Divitini, Matthew Forshaw, Niklas Humble, Maria Kasinidou, Styliani Kleanthous, Can Kültür, Ghazaleh Parvini, Mohammad Polash, Tingting Zhu
2024	—	`conf`	Evaluating Deep Graph Network Performance by Augmenting Node Features with Structural Features. ASONAM (3) Mohamad Elhadi Abushofa, Amir Atapour-Abarghouei, Matthew Forshaw, A. Stephen McGough
2024	A*	`conf`	Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CVPR Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
2024	J	`jnl`	Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CoRR Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
2024	B	`conf`	Reasoning Over Streaming System Performance Using Response Surface Methodology. IEEE Big Data Stuart Jamieson, Matthew Forshaw
2024	—	`conf`	Robust Streaming Benchmark Design in the Presence of Backpressure. EPEW Iain Dixon, Matthew Forshaw, Joe Matthews
2024	J	`jnl`	Visualization of missing data: a state-of-the-art survey. CoRR Sarah Alsufyani, Matthew Forshaw, Sara Johansson Fernstad
2023	—	`conf`	A State-Size Inclusive Approach to Optimizing Stream Processing Applications. EPEW Paul Omoregbee, Matthew Forshaw, Nigel Thomas
2023	B	`conf`	FEGR: Feature Enhanced Graph Representation Method for Graph Classification. ASONAM Mohamad Elhadi Abushofa, Amir Atapour Abarghouei, Matthew Forshaw, Andrew Stephen McGough
2023	—	`conf`	On Improving Streaming System Autoscaler Behaviour using Windowing and Weighting Methods. DEBS Stuart Jamieson, Matthew Forshaw
2023	—	`ed.`	Practical Applications of Stochastic Modelling - 11th International Workshop, PASM 2022, Alicante, Spain, September 23, 2022, Revised Selected Papers PASM Matthew Forshaw, Katja Gilly, William J. Knottenbelt, Nigel Thomas
2023	B	`conf`	Predicting the Performance of a Computing System with Deep Networks. ICPE Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2023	J	`jnl`	Predicting the Performance of a Computing System with Deep Networks. CoRR Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2023	J	`jnl`	Visualizing ordered bivariate data on node-link diagrams. Vis. Informatics Osman Akbulut, Lucy McLaughlin, Tong Xin, Matthew Forshaw, Nicolas S. Holliman
2022	B	`conf`	A systematic literature review on machine learning for electricity market agent-based models. IEEE Big Data Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2022	—	`conf`	Analysis of Reinforcement Learning for Determining Task Replication in Workflows. EPEW Andrew Stephen McGough, Matthew Forshaw
2022	J	`jnl`	Analysis of Reinforcement Learning for determining task replication in workflows. CoRR Andrew Stephen McGough, Matthew Forshaw
2022	J	`jnl`	Long-term Reproducibility for Neural Architecture Search. CoRR David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2022	J	`jnl`	Machine learning applications for electricity market agent-based models: A systematic literature review. CoRR Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2022	—	`conf`	Measuring Streaming System Robustness Using Non-parametric Goodness-of-Fit Tests. EPEW Stuart Jamieson, Matthew Forshaw
2022	B	`conf`	Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. IEEE Big Data Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2022	—	`conf`	Performability Requirements in Making a Rescaling Decision for Streaming Applications. EPEW Paul Omoregbee, Matthew Forshaw
2022	—	`conf`	Towards Energy-Aware Management of Shared Printers. PASM Antreas Kasiotis, Chinomnso Ekwedike, Matthew Forshaw
2021	—	`conf`	Hard Disk Failure Prediction on Highly Imbalanced Data using LSTM Network. IEEE BigData Cahyadi, Matthew Forshaw
2021	J	`jnl`	Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. CoRR Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2021	J	`jnl`	The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. CoRR Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2021	J	`jnl`	The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. Sustain. Comput. Informatics Syst. Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2021	J	`jnl`	Using Virtual Machine live migration in trace-driven energy-aware simulation of high-throughput computing systems. Sustain. Comput. Informatics Syst. Osama Nasser Alrajeh, Matthew Forshaw, Nigel Thomas
2020	—	`conf`	Exploring market power using deep reinforcement learning for intelligent bidding strategies. IEEE BigData Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2020	J	`jnl`	Exploring market power using deep reinforcement learning for intelligent bidding strategies. CoRR Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2020	—	`conf`	Long-term electricity market agent based model validation using genetic algorithm based optimization. e-Energy Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2020	J	`jnl`	Long-term electricity market agent based model validation using genetic algorithm based optimization. CoRR Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2020	—	`conf`	Optimizing carbon tax for decentralized electricity markets using an agent-based model. e-Energy Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2020	J	`jnl`	Optimizing carbon tax for decentralized electricity markets using an agent-based model. CoRR Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2020	—	`ed.`	Tenth International Workshop on the Practical Application of Stochastic Modelling, PASM 2019, Milan, Italy, November 2019 PASM Matthew Forshaw, Marco Gribaudo, William J. Knottenbelt, Nigel Thomas
2019	—	`conf`	ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. e-Energy Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	J	`jnl`	ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. CoRR Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	—	`conf`	Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model. e-Energy Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	—	`conf`	Optimising energy and overhead for large parameter space simulations. IGSC Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	J	`jnl`	Optimising energy and overhead for large parameter space simulations. CoRR Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	—	`conf`	Preface. PASM Matthew Forshaw, Marco Gribaudo, William J. Knottenbelt, Nigel Thomas
2019	—	`conf`	Students' Perception on Data Sources from Outside Virtual Learning Environment for Learning Analytics. ICETC Andharini D. Cahyani, Lindsay F. Marshall, Matthew Forshaw
2018	—	`conf`	Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment. ICPE Companion A. Stephen McGough, Matthew Forshaw
2018	J	`jnl`	Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM). Sustain. Comput. Informatics Syst. A. Stephen McGough, Matthew Forshaw
2018	—	`ed.`	Proceedings of the Ninth International Workshop on the Practical Application of Stochastic Modelling, PASM 2017, Berlin, Germany, September 9, 2017 PASM Matthew Forshaw, William J. Knottenbelt, Nigel Thomas, Katinka Wolter
2018	—	`conf`	Segmenting Residential Smart Meter Data for Short-Term Load Forecasting. e-Energy Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2018	C	`conf`	Simulation of Virtual Machine Live Migration in High Throughput Computing Environments. DS-RT Osama Nasser Alrajeh, Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
2018	A*	`conf`	Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows. OSDI Vasiliki Kalavri, John Liagouris, Moritz Hoffmann, Desislava C. Dimitrova, Matthew Forshaw, Timothy Roscoe
2018	—	`conf`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2018	J	`jnl`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2017	—	`conf`	An Automated Approach to Cloud Performance Benchmarking. UKPEW Adam Cattermole, Matthew Forshaw
2017	—	`ed.`	Analytical and Stochastic Modelling Techniques and Applications - 24th International Conference, ASMTA 2017, Newcastle-upon-Tyne, UK, July 10-11, 2017, Proceedings ASMTA Nigel Thomas, Matthew Forshaw
2017	—	`conf`	Automatic Generation of Distributed Run-Time Infrastructure for Internet of Things. ICSA Workshops Saleh Mohamed, Matthew Forshaw, Nigel Thomas
2017	J	`jnl`	Erratum to "On the Privacy of Private Browsing - A Forensic Approach" [JISA 19/1(2014), 88-100]. J. Inf. Secur. Appl. Kiavash Satvat, Matthew Forshaw, Feng Hao, Ehsan Toreini
2017	A	`conf`	Experience Report: How to Design Web-Based Competitions for Legal Proceedings: Lessons from a Court Case. ISSRE Aad P. A. van Moorsel, Matthew Forshaw, Francisco Rocha
2017	—	`conf`	Machine Learning Models for Predicting Timely Virtual Machine Live Migration. EPEW Osama Nasser Alrajeh, Matthew Forshaw, Nigel Thomas
2017	B	`conf`	Performance and Dependability Evaluation of Distributed Event-based Systems: A Dynamic Code-injection Approach. ICPE Saleh Mohamed, Matthew Forshaw, Nigel Thomas, Andrew E. Dinn
2017	—	`conf`	Preface. PASM Matthew Forshaw, William J. Knottenbelt, Nigel Thomas, Katinka Wolter
2017	—	`conf`	Towards an Extensible and Scalable Energy Harvesting Wireless Sensor Network Simulation Framework. ICPE Companion James Allen, Matthew Forshaw, Nigel Thomas
2017	—	`conf`	Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems. ICPE Companion A. Stephen McGough, Noura Al Moubayed, Matthew Forshaw
2016	J	`jnl`	HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems. Concurr. Comput. Pract. Exp. Matthew Forshaw, A. Stephen McGough, Nigel Thomas
2016	A	`conf`	Meeting Graduate Employability Needs through Open-source Collaboration with Industry. SIGCSE Matthew Forshaw, Ellis Solaiman, Oonagh McGee, Hugo Firth, Paul Robinson, Ryan Emerson
2016	B	`conf`	Out of the Comfort Zone: Embedding Entrepreneurship in a Cohort of Computer Science Doctoral Students. ITiCSE Oonagh McGee, Matthew Forshaw, Barry Hodgson, Steve J. Caughey
2015	C	`conf`	Energy-Aware Simulation of Workflow Execution in High Throughput Computing Systems. DS-RT A. Stephen McGough, Matthew Forshaw
2015	—	`conf`	Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster. SimuTools Matthew Forshaw, A. Stephen McGough
2014	J	`jnl`	Comparison of a cost-effective virtual cloud cluster with an existing campus cluster. Future Gener. Comput. Syst. Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Stuart Wheater, Ben Allen, Paul Robinson
2014	—	`conf`	Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems. PASM Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
2014	—	`conf`	On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems. SMARTGREENS Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
2014	J	`jnl`	On the privacy of private browsing - A forensic approach. J. Inf. Secur. Appl. Kiavash Satvat, Matthew Forshaw, Feng Hao, Ehsan Toreini
2014	—	`conf`	Operating Policies for Energy Efficient Dynamic Server Allocation. UKPEW Thai Ha Nguyen, Matthew Forshaw, Nigel Thomas
2014	J	`jnl`	Reduction of wasted energy in a volunteer computing system through Reinforcement Learning. Sustain. Comput. Informatics Syst. A. Stephen McGough, Matthew Forshaw
2014	—	`conf`	Time-inhomogeneous Population Models of a Cycle-Stealing Distributed System. UKPEW Jeremy T. Bradley, Matthew Forshaw, Anton Stefanek, Nigel Thomas
2014	C	`conf`	Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems. DS-RT Matthew Forshaw, Nigel Thomas, A. Stephen McGough
2013	J	`jnl`	Analysis of power-saving techniques over a large multi-use cluster with variable workload. Concurr. Comput. Pract. Exp. Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Paul Robinson, Stuart Wheater
2013	—	`conf`	On the Privacy of Private Browsing - A Forensic Approach. DPM/SETOP Kiavash Satvat, Matthew Forshaw, Feng Hao, Ehsan Toreini
2012	—	`conf`	A Novel Approach to Energy Efficient Content Distribution with BitTorrent. EPEW/UKPEW Matthew Forshaw, Nigel Thomas
2012	—	`conf`	Reducing the Number of Miscreant Tasks Executions in a Multi-use Cluster. CGC Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Stuart Wheater