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Professor Douglas Leith

Professor of Computer Systems (Computer Science)
LLOYD INSTITUTE

 leithdo@tcd.ie

 3531896 1534


Biography

Doug Leith graduated from the University of Glasgow in 1986 and was awarded his PhD, also from the University of Glasgow, in 1989. Prof. Leith moved to the National University of Ireland, Maynooth in 2001 to establish the Hamilton Institute (www.hamilton.ie) of which he was founding Director from 2001-2014. In Dec 2014, Prof Leith moved to Trinity College Dublin to take up the Chair of Computer Systems in the School of Computer Science and Statistics. His current research interests include machine learning (especially multi-arm bandits, reinforcement learning and online optimisation), recommender systems, data privacy in mobile handsets and privacy enhanced machine learning.

Research Tags

  data privacy   distributed optimisation   MACHINE LEARNING   network congestion control   RECOMMENDER SYSTEMS   wireless networks
What Data Do the Google Dialer and Messages Apps on Android Send to Google? in, Springer Nature Switzerland, 2023, pp549-568 , [Leith, Douglas J.], Book Chapter, PUBLISHED  DOI
Towards Quantifying the Privacy of Redacted Text in, Springer Nature Switzerland, 2023, pp423-429 , [Gusain, Vaibhav, Leith, Douglas], Book Chapter, PUBLISHED  DOI
Liu, Haoyu, Leith, Douglas J., Patras, Paul, Android OS Privacy Under the Loupe -- A Tale from the East, ACM, 2023, Conference Paper, PUBLISHED  DOI
Anderson, D. and Iosifidis, G. and Leith, D.J., Lazy Lagrangians for Optimistic Learning With Budget Constraints, IEEE/ACM Transactions on Networking, 2023, p1-15 , Notes: [cited By 0], Journal Article, PUBLISHED  DOI
Liu, Haoyu, Patras, Paul, Leith, Douglas J., On the data privacy practices of Android OEMs, PLOS ONE, 18, (1), 2023, pe0279942 , Journal Article, PUBLISHED  DOI
Mhaisen, Naram, Iosifidis, George, Leith, Douglas, Online Caching with no Regret: Optimistic Learning via Recommendations, IEEE Transactions on Mobile Computing, 2023, p1-17 , Journal Article, PUBLISHED  DOI
Rajapakse, Dilina Chandika, Leith, Douglas, User Cold-Start Learning In Recommender Systems Using Monte Carlo Tree Search, ACM Transactions on Recommender Systems, 2023, Journal Article, PUBLISHED  DOI
Dilina Chandika Rajapakse, Douglas Leith, Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search, 2022, Conference Paper, PUBLISHED  DOI
Mhaisen, N. and Iosifidis, G. and Leith, D., Online Caching with Optimistic Learning, 2022, Notes: [cited By 0], Conference Paper, PUBLISHED  DOI
David Young, Douglas Leith, High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits, 2022, Conference Paper, PUBLISHED  DOI
  

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D.J.Leith and Oliver Mason, Interdisciplinary Workshop on Data Privacy, 2014, NUI Maynooth, Meetings /Conferences Organised, PUBLISHED
D.J.Leith and K.R.Duffy, International Workshop on Network Science, 2011, NUI Maynooth, Meetings /Conferences Organised, PUBLISHED

  

Research Interests

Description Of Research Interests

machine learning, multi-arm bandits, reinforcement learning, online optimisation, recommender systems, data privacy in mobile handsets, privacy enhanced machine learning