Artificial intelligence and digital technologies

Distributed Systems Design, development and verification of embedded systems and virtual tools for automation and industrial control.

Software engineering and network Blockchain, cloud platforms, LoRa networks, advanced gateway solution and virtual networks, requirement engineering, code analysis, design of security-sensitive applications.

Neuroinformatics Modelling data by brain inspection, solutions to study disease spreads, support to decision-making.

Interfaces and interaction Interaction design, automatic behavioral analysis, non-standard interfaces.

Deep and Structured ML Improvements in deep learning techniques and data logs in rare diseases, mimic human cognition in the analysis, comprehension of complex medical and health care data, bioinformatics.

Intelligent interfaces, artificial cognitive systems, personalized and adaptive systems, Widespread implementation of electronic health record systems, enhanced the precision of robot-assisted surgery.

Predictive models. Molecular dinamics, predictive models for RNA and protein folding and protein-protein interaction, growth of genomic sequencing databases, disease diagnosis telemedicine, electronic health records, drug Interactions, creation of new drugs.

Epidemiological models, large scale simulations of emerging infectious diseases and evaluation of mitigation/containment policies.

Data and knowledge management, elicitation, representation, integration of knowledge & semantic services, process and data intelligence.

Deep and Structured ML and AI prototypical and main application domains are computer vision and multimedia, natural language processing, and bioinformatics.

Cloud, Fog and Edge Computing cloud-to-thing continuum service-aware workload placement and zero-touch deployment.

Data Security, identity and access management, security risk assessment and Management, security vs privacy, cyber resilient systems, critical infrastructures and cyber-physical systems.

Predictive models, mathematical models and ICT platforms for high dimensional data.

Remote sensing Pattern recognition technologies for supporting a digital monitoring, analysis and sustainable management of resources.

3D optical metrology Measurements and reality-based 3D reconstruction.

Deep and Structured ML and AI prototypical and main application domains are computer vision and multimedia, natural language processing, and bioinformatics.

Design of product features and functionalities with design thinking methodologies to support industrialization of digital technologies.

Rapid prototyping of human-computer interfaces with agile methods (e.g. Design Sprint) to accelerate new product development.

User testing and co-design in real life setting for optimization of software usability and system user experience.