Associate Director, Urban Big Data Centre
Professor, Computing Science
Chair of Data Systems Engineering
- Sir Alyn Williams Building, University of Glasgow, Glasgow, G12 8QN
- +44 (0) 141 330 4932
Peter was born in Toronto Canada, grew up in Greece, and studied in Canada. He received his PhD in Computer Science from the University of Waterloo in 1991, being the Dept of Computer Science's and the Faculty of Mathematics' nominee for the Gold Metal for Outstanding Achievements at the Doctoral Level. Since then he has held faculty positions in Simon Fraser University (1991-1996), the Technical University of Crete (1996-2002), and the University of Patras (2002-2012). He has also been a visiting professor with the Max-Planck Institute for Informatics in 2004-2005 and also in 2012 - 2013 in the Database and Information Systems group. He has co-authored more than 120 papers, has served as a member of the Technical Program Committee in more than 120 conferences, has has received two best-paper awards in top-notch conferences, namely in the ACM Conference on Information retrieval ACM SIGIR2016, and in the ACM Conference on Information and Knowledge Management, ACM CIKM2006, and 2 of his papers were selected among the best papers in conferences. He has served as a PC Vice Chair for the IEEE International Conference in Data Engineering (2008), PC co-chair for WISE 2010, and PC co-chair for the ACM/IFIP/USENIX Conference in Middleware 2013. His research and publications have spanned a number of areas including Distributed Databases, Distributed Filesystems, Multimedia Systems, Storage Servers, Peer-to-Peer Data Systems, Publish-Subscribe, Event-based Systems, Decentralized Search Engines, and Social Networks/Systems. Currently, his interests lie in Big Data Infrastructures, Scalable and Efficient big data analytics processing, and Human-Centric Data Management.
- Big Data Management Systems: NoSQL systems, index-based and Hadoop-style massively parallel data access, statistical structures and query processing and optimization.
- Cloud Infrastructures: Internet-wide, inter-Data Centre infrastructures, high availability and reliable storage systems.
- Crowdsourcing as a means to improve Data System Internals and Information/Knowledge Acquisition.
- Large-scale, Event-based, Publish/Subscribe Systems and Continuous Queries.
Big Data Management
This project aims to understand the technical data management requirements underlying social science linked datasets and social science queries, and to investigate the development of one data management infrastructure which will facilitate analyses not previously obtainable from any single datase...