Data Science and Engineering
DESCRIPTION
We study topics and methods for handling data of large volumes and complex nature, to facilitate data analytics in scientific and industrial applications. Our main goal is to understand the requirements in data handling and engineering that arise in such applications and provide efficient and scalable solutions. The topics that we study include, but are not limited to, data representations, specialized data structures, and indices for complex data types (such as multidimensional vectors, spatial objects, temporal and time-series data, graph structures, semi-structured text); algorithms for processes that handle data in scientific workflows and end-to-end AI tasks; scaling up and out data analytics; security and privacy in decentralized data management and analysis tasks; systems infrastructure aiming at resource, energy, and runtime efficiency; management and analysis of semantic data and knowledge bases.
RESEARCHERS
Angela Ralli
University of Patras, Greece
Evaggelia Pitoura
University of Ioannina, Greece
Evimaria Terzi
Boston University, USA
Giorgos Papanastasiou
University of Essex, UK
John Pavlopoulos
Αthens University of Economics and Business, Greece
Konstantinos Tsakalidis
University of Liverpool, UK
Manolis Koubarakis
National and Kapodistrian University of Athens, Greece
Nikos Komodakis
University of Crete, Greece
Nikos Mamoulis
University of Ioannina, Greece
Panagiotis Tsaparas
University of Ioannina, Greece
Paris Giampouras
University of Warwick, UK
Sotirios Tsaftaris
The University of Edinburgh, UK
