Dr Matt Ellis

Department of Computer Science

Lecturer in Machine Learning

Member of the Machine Learning research group

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+44 114 222 1949

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Dr Matt Ellis
Department of Computer Science
Regent Court (DCS)
211 Portobello
S1 4DP

Dr Matthew Ellis is a Lecturer in Machine Learning and member of the Machine Learning Group at the Department of Computer Science.

He graduated with a MPhys in Theoretical Physics from the University of York in 2011, before staying at York to undertake a PhD in Physics under Prof. Roy Chantrell.

After completing his PhD in 2015 he joined the group of Prof. Stefano Sanvito at Trinity College Dublin as a post-doctoral research fellow. In 2019, he joined the University of Sheffield as a post-doctoral research associate in the Bio-Inpsired Machine Learning group under Prof. Eleni Vasilaki developing machine learning models for neuromorphic computing in collaboration with the Department of Materials Science.

Research interests

Dr Ellis is interested in developing energy efficient machine learning algorithms and systems based on neuromorphic computing. In particular, he is interested in developing models of physical systems that can be utilised as machine learning processing devices, such as devices for physical reservoir computing or neuromorphic hardware based on magnetic systems. Beyond machine learning he is interested in developing large scale models of magnetic devices including developing gpu accelerated models.


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Journal articles

Conference proceedings papers


  • Manneschi L, Vidamour IT, Stenning KD, Gartside JC, Swindells C, Venkat G, Griffin D, Stepney S, Branford WR, Hayward T , Ellis MO et al (2024) Optimising network interactions through device agnostic models. RIS download Bibtex download
  • Ellis MOA, Welbourne A, Kyle SJ, Fry PW, Allwood DA, Hayward TJ & Vasilaki E (2023) Machine learning using magnetic stochastic synapses. RIS download Bibtex download
  • Manneschi L, Ellis MOA, Gigante G, Lin AC, Del Giudice P & Vasilaki E (2021) Exploiting Multiple Timescales in Hierarchical Echo State Networks, arXiv. RIS download Bibtex download
  • Ababei RV, Ellis MOA, Vidamour IT, Devadasan DS, Allwood DA, Vasilaki E & Hayward TJ () Neuromorphic Computation With a Single Magnetic Domain Wall. RIS download Bibtex download