Professor Peter Triantafillou

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Peter Triantafillou

Former position

Turing Fellow

Partner Institution

University of Warwick
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Research areas

Statistical methods & theory Time series Causality Computer systems & architectures Databases Information retrieval Operating systems Artificial intelligence Neural networks Machine learning Supervised learning Semi-supervised learning Deep learning Applications (Machine learning)

Bio

Peter Triantafillou is Professor of Data Systems and Head of the Data Sciences Division at the Department of Computer Science at the University of Warwick, Fellow of the Alan Turing Institute , member of the Advisory Board of the Urban Big Data Research Centre (a national infrastructure for urban data services and analytics), and Honorary Senior Research Fellow at the School of Computing Science at the University of Glasgow. Prior to that, he held the Data Systems Chair at the School of Computing Science at the University of Glasgow.

Peter has also held professorial positions at Simon Fraser University (1991-1995), the Technical University of Crete (1995-2002), the University of Patras (2002-2013), and visiting professorships at the Max-Planck Institute for Informatics (in 2004-2005 and in 2012-2013). Peter received his Ph.D. in computer science from the University of Waterloo and was the Department of Computer Science and the Faculty of Mathematics nominee for the Gold Medal for outstanding achievements at the Doctoral level.

 

Research interests

Peter's research efforts in general aim to push the state of the art in our understanding of how:

  • (Big) data is managed, from its ingestion into systems to its subsequent interrogation, and includes data wrangling, storage, indexing, query and analytics processing.
  • To best select / engage appropriate underlying system infrastructures, during query processing.
  • To successfully translate analytics needs of end users to algorithmic processes that can run scalably and efficiently regardless of data volumes, underlying systems, and irrespective of application areas (such as health and well-being, smart cities, government data, financial data, etc.).

At The Alan Turing Institute, Peter's research will specifically focus on the intersection and cross-fertilisation of machine learning and data systems: How to employ ML models and approaches in order to improve the efficiency, scalability and accuracy of data analytics systems, and, conversely, how to use advanced data management algorithms and structures in order to improve the performance of time-consuming and resource-hungry machine learning tasks.

Achievements and awards

Peter has published extensively in top journals and conferences in the above areas, has served in the Technical Program Committees of more than 120 international conferences, and has been the PC Chair or Vice-chair in several prestigious conferences. Peter has received the best paper awards at the ACM SIGIR Conference (on Information Retrieval) in 2016 and at the ACM CIKM Conference (on Information and Knowledge Management) in 2006 and is a co-designer of several innovative systems (such as the MINERVA decentralized search engine and the eXO decentralized social networking system).

Turing Research