Scholar
Vasileios Lampos
Google Scholar ID: eXDONDEAAAAJ
University College London
Citations & Impact
Citations
4,150
H-index
25
i10-index
38
Publications
20
Co-authors
42
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper titled 'DeformTime: capturing variable dependencies with deformable attention for time series forecasting' published in Transactions on Machine Learning Research (TMLR)
- Paper titled 'Neural network models for influenza forecasting with associated uncertainty using Web search activity trends' published in PLOS Computational Biology
- Paper titled 'An artificial intelligence approach for selecting effective teacher communication strategies in autism education' published in Nature (npj) Science of Learning
- Paper titled 'Tracking COVID-19 using online search' published in Nature (npj) Digital Medicine
- Google.org initiative supporting research on COVID-19
- Research on transfer learning for disease surveillance models from online search activity covered by Nature as part of an outlook article about real-time flu tracking
- Two papers accepted by the Web Conference 2019: one proposes a transfer learning method for estimating flu rates using web search activity in locations without established health surveillance systems, and the other proposes a privacy-preserving framework for collecting web search activity data for health-related research
- 2017/18 annual flu report by Public Health England incorporates internet-based flu rate estimates, powered by web search activity and our machine learning models
- Paper on multi-task learning models for syndromic surveillance from Google search data accepted by WWW 2018
- Paper proposing a better feature selection method for syndromic surveillance models from web search activity accepted by WWW 2017
- Paper on predicting judicial decisions of the European Court of Human Rights using statistical NLP published in PeerJ Computer Science, covered by VICE, BBC, The Guardian, and a UCL press release
Research Experience
- Leading the Ωmega research group; research areas include time series forecasting, influenza prediction, autism education, and COVID-19 tracking
Background
- Associate Professor, Ωmega Research Group, Centre for Artificial Intelligence, Department of Computer Science, University College London
Miscellany
- Twitter: @lampos, UCL profile, Email: v.lampos (at) ucl.ac.uk
