Professor Eleni Vasilaki

Chair of Computational Neuroscience & Neural Engineering
Director or Research, Head of Machine Learning Group.

Telephone: +44 (0) 114 222 1822
Emaile.vasilaki@sheffield.ac.uk

Head of the Machine Learning research group and member of the Complex Systems Modelling research group
Personal
website: staffwww.dcs.shef.ac.uk/people/E.Vasilaki/

ORCID

Selected publications | All publications

Prof. Eleni Vasilaki

Profile

Biography

Eleni graduated with a Bachelor’s degree in Informatics and Telecommunications and a Master’s degree in Microelectronics from the University of Athens, before taking her DPhil (PhD) at Sussex, in Computer Science and Artificial Intelligence. From 2004 to 2006 she worked at the University of Bern and from 2007 to 2009 at the Swiss Federal Institute of Technology Lausanne (EPFL). In 2009 she joined the University of Sheffield as Lecturer, where she is Professor since 2011.

Other professional activities and achievements

  • One of the Academic editors of Scientific Reports, Nature Publishing Group, PLOS ONE and PeerJ.
  • Review editor / Reviewer for over 20 journals and conferences, including Nature Nanotechnology, and research funding bodies e.g. EPSRC (UK) and FWO (Belgium). Has served as EPSRC panel member and panel Chair.
  • Elected Director for the Organisation for Computational Neurosciences from Jan 2016 to Nov 2017.
  • Area Chair for key machine learning conference NIPS 2014.
  • More than 30 invited talks worldwide, including Oxford, Imperial, ETH Zurich/ Univ. Zurich, Columbia, and Beijing Institute of Technology.
Research

Research

Computational Neuroscience, Artificial Intelligence:

  • Synaptic plasticity and Learning
  • Unsupervised Learning
  • Reinforcement Learning

Eleni develops computational models aiming to advance our understanding of the brain learning mechanisms. She targets to unveil the principles that govern the modifications of the neuronal connections when acquiring information, with emphasis to unsupervised and reinforcement learning.

Grants

Current grants

Previous grants