Stephen McGough

简介

Stephen McGough is a Reader in Machine Learning within the Scalable Computing Group in the School of Computing at Newcastle University. He researches in the areas of Machine Learning (specifically Deep Learning), Big Data and Energy Efficient Computing. He studied parallel simulation (PhD, Newcastle) and previously completed an MSc in Computing (Newcastle) and a BSc in Mathematics (Durham). Before joining Newcastle in 2017, he held positions at Durham University, Newcastle University, University College London, and Imperial College London.

教育经历

• PhD Parallel Simulation, Newcastle University
• MSc Computing, Newcastle University
• BSc Mathematics, Durham University

代表成果

• Khalil M, McGough AS, Pourmirza Z, Pazhoohesh M, Walker S. Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review. Engineering Applications of Artificial Intelligence 2022
• Koc K, McGough AS, Johansson Fernstad S. PeaGlyph: Glyph design for investigation of balanced data structures. Information Visualization 2022
• Allen B, McGough AS, Devlin M. Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience. ACM Transactions on Computing Education 2022
• Chen SH, Londono-Larrea P, McGough AS, Bible AN, Gunaratne C, Araujo-Granda PA, Morrell-Falvey JL, Bhowmik D, Fuentes-Cabrera M. Application of Machine Learning Techniques to an Agent-Based Model of Pantoea. Frontiers in Microbiology 2021
• Kell AJM, McGough AS, Forshaw M. The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. Sustainable Computing: Informatics and Systems 2021
• Khalil M, McGough S, Pourmirza Z, Pazhoohesh M, Walker S. Transfer Learning Approach for Occupancy Prediction in Smart Buildings. In: 2021 12th International Renewable Engineering Conference (IREC). 2021
• Allen B, Devlin M, McGough AS. Using the One Minute Paper to Gain Insight into Potential Threshold Concepts in Artificial Intelligence Courses. In: CEP '21: Proceedings of the 5th Conference on Computing Education Practice. 2021
• Al Moubayed N, McGough S, Awwad Shiekh Hasan B. Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling. PeerJ Computer Science 2020
• Kell AJM, Salas P, Mercure JF, Forshaw M, McGough AS. Deep Reinforcement Learning in Electricity Generation Investment for the Minimization of Long-Term Carbon Emissions and Electricity Costs. In: Tackling Climate Change with Machine Learning workshop at NeurIPS 2020. 2020
• Ullah MS, McGough AS. Distributed Disk Store. In: ICCA 2020 : International Conference on Computing Advancements. 2020