Reinforcement learning, deep learning, decision trees, neural networks and genetic algorithms.

Time series analysis and clustering techniques for decision making support tools.

Technological support for creating, storing, and managing big data streams.

Building and deploying big data applications and advanced analytics for customized insights.

Data disambiguation, noise elimination and predictive analytics.

Blockchain platform and smart contracts implementation.

Blockchain based trading market implementation and management

Distributed shared ledger implementation.

Ethereum technology integration.

Privacy-preserving techniques for blockchain platforms.

Distributed peer to peer control.

Distributed consensus (PoW and PoS).

Blockchain Tokens Creation.

Homomorphic encryption for private P2P trading mechanisms.

Blockchain and federated learning infrastructures.

Blockchain for tamper proof registration and audit

Big data and ML adaptable infrastructures integrating data from various IoT sensors, software agents and self-reporting activities used to:

(i) Assess the cognitive state of MCI older adults

(ii) Manage the transitional care process for older adults and personalize their monitoring and care plans.

(iii) Personalize social robots interaction.

(iv) Manage and assess polypharmacy and medicine intake.

(v) Monitor heart disease and offer support for healthcare professionals.

Mathematical modeling of complex systems and environments.

System behavioral analysis.

Digital Twins.

Semantic web and ontology engineering.

Rule-based reasoning over semantic representations for knowledge extraction and decision making.

What-if model simulation techniques.

Mathematical modeling and simulation of complex hybrid systems that exhibits both continuous and discrete behaviors.

Multi-objective and multi-criteria problems solving using mathematical models.

Analysis and optimization of processes based on event logs using process mining.

Industrial process real time control and costs optimization.

Bio-inspired hybrid meta-heuristics applicable in multi-objective optimization problems such as:

(i) selecting the optimal solution in semantic web service composition

(ii) data clustering

(iii) business process mining

(iv) generating personalized healthy diet recommendations

(v) ensuring energy efficiency at the server/data center level

Cloud-edge computational orchestration and offloading.

Cloud-fog-edge architectures for optimal load management.

Cloud DCs energy usage assessment.

Cloud workload consolidation for energy consumption reduction.

Delay tolerant workload scheduling for minimizing energy costs.

Optimization of cloud DCs energy consumption through Dynamic Power Management.