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Matthew Forshaw

Reader in Data Science · School of Computing

Newcastle University · United Kingdom
data sciencestream processingenergy efficiencydistributed computing

简介

Dr Matthew Forshaw is Reader in Data Science at Newcastle University and Senior Advisor for Skills to The Alan Turing Institute. His work in data and AI skills includes working with the Government on the skills pillar of the UK's National Data Strategy and National AI Strategy and leading the development of AI Skills for Business Competency Framework with Innovate UK BridgeAI. He is currently seconded to the UK Department for Science, Innovation and Technology (DSIT) as their Head of Skills for AI Assurance. He is passionate about democratising access to, and widening participation into, data and AI skills training at all levels.

代表成果

  • Bhattacharyya A, Forshaw M, Golightly D, Merricks S, Palacin R, Pierce K, Da Silva PP. Using Time Signal at Red (Tsar) as a Tool for Analysing Rail Network Performance.
  • Yao F, Zhao W, Forshaw M, Zhou W. A Unified Data-Driven Approach Under Deep Reinforcement Learning with Direct Control Responses for Microgrid Operations.
  • Yao F, Zhao W, Forshaw M, Song Y. A self-organizing interval type-2 fuzzy neural network for multi-step time series prediction.
  • Yao F, Zhao W, Forshaw M, Song Y. A holistic power optimization approach for microgrid control based on deep reinforcement learning.
  • Akbulut O, Cavus M, Cengiz M, Allahham A, Giaouris D, Forshaw M. Hybrid Intelligent Control System for Adaptive Microgrid Optimization: Integration of Rule-Based Control and Deep Learning Techniques.
  • Oakley JL, Forshaw M, Philipson P, Wilson KJ. Examining the impact of critical attributes on hard drive failure times: Multi-state models for left-truncated and right-censored semi-competing risks data.
  • Akbulut O, McLaughlin L, Xin T, Forshaw M, Holliman NS. Visualizing ordered bivariate data on node-link diagrams.
  • Sivakumar J, Forshaw MJ, Lam S, Peters CJ, Allum WH, Whibley J, Sinclair RCF, Snowden CP, Hii MW, Sivakumar H, Read M. Identifying the limitations of cardiopulmonary exercise testing prior to esophagectomy using a pooled analysis of patient-level data.
  • Kell AJM, McGough AS, Forshaw M. The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets.
  • Alrajeh O, Forshaw M, Thomas N. Virtual Machine Live Migration in Trace-driven Energy-Aware Simulation of High-Throughput Computing Systems.

数据校验于 9/6/2026数据来源

学生评价

还没有评价。成为第一位分享经验的学生吧。