
DATA MINING AND ANALYSIS FOR BIG DATA
massive data streams, and social networks with solutions for outlier detection, recommendations, collaborative filtering, incremental clustering, patterns detection, scientometrics, and sentiment analysis

INFORMATION RETRIEVAL AND CORE DATA MANAGEMENT
technologies such as cloud, graph, spatial and spatiotemporal databases, query processing, community detection, distributed data engineering, and optimisation of data analytics flows

DESIGN AND DEVELOPMENT
of collective social awareness and smart city platforms for creative ICT driven distributed applications, frameworks and services at which social, cultural and historical content is e-reflected and shared

MASSIVELY PARALLEL SYSTEMS
including MapReduce, Spark, Flink and CUDA to support end-to-end big data science applications and runtime evolving analytics

STRONG THEORETICAL BACKGROUND
in fields underpinning modern data and web analytics: data structures, graph theory and applications, algorithmic complexity and computational geometry

DECENTRALISED APPLICATIONS
design and development for smart contract solutions based on blockchain technologies (such as Ethereum and Hyperledger Fabric)