Big Data Management Systems, Data Stream Management Systems, Distributed Systems and Machine Learning
Apostolis Glenis is a PhD Candidate in the Department of Digital Systems under the supervision of George Vouros.
Apostolis holds a Masters degree in computer science from the University of Crete and a Bachelors degree in computer science from the University of Piraeus.
His research interests include Data Streams,Machine Learning,Recommendation Systems and Time-Series data.
SPARTAN: Semantic Integration of Big Spatio-temporal Data from Streaming and Archival Sources Journal Article Forthcoming
Future Generation Computer Systems, to appear , Forthcoming.
The delta big data architecture for mobility analytics Conference
2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService), IEEE IEEE, Oxford, UK, 2020.
Efficient Spatio-temporal RDF Query Processing in Large Dynamic Knowledge Bases Conference
SAC 2019, 2019.
Generating linked RDF data from heterogeneous streaming and archival data sources: Populating the datAcron ontology Conference
Semantics 2017, Amstrerdam, Holland, 2017.