Research Projects
VESPA 2.0
PO FESR Sicilia 2014-2020
http://www.euroinfosicilia.it/
Project website: https://www.progettovespa.it/
Project Time Window: 2019-2023
Role: Partner
Focus on: Big Data Management, Data Analysis, Data Pipeline engineering
Summary
The project “Virtual Environment for a Superior neuro-Psychiatry” Second Generation (VESPA 2.0) continues the previous efforts to promote health and use innovative solutions for the psycho-physical well-being of individuals with greater vulnerability and neuro-fragility. The primary research areas focus on the analysis, revision, and adoption of: technologies and models for cognitive stimulation and learning; user-centered technologies and application models aimed at improving the quality of life (health, safety, mobility, social inclusion) of identified end-users; innovative technologies, products, and service models to promote healthy lifestyles. The VESPA project has developed and validated in the laboratory a high-immersion 3D Virtual Reality (VR) system, remotely supervised by healthcare personnel located in remote facilities, for the quantitative evaluation and rehabilitation of cognitive-motor functions in patients with Intellectual Disabilities (ID), Communication Disorders (CD), or Alzheimer’s Disease (AD).
VESPA 2.0 aligns with broader strategies by introducing new products, fostering innovation, and exploring international markets. The integration of intensive computing, Big Data, and advanced VR technologies strengthens its impact and supports its evolution towards comprehensive, user-centered healthcare solutions, including home use.
Deep Learning for Health
PO FESR Sicilia 2014-2020
http://www.euroinfosicilia.it/
Project Website: https://www.dl4health.it/
Project Time Window: 2019-2022
Role: Partner
Focus on: IA-based solution for Health-related data, Patient treatment, Graph-based knowledge management, Big Data Management, Data Pipeline engineering
Summary
The project, funded by the European Union throught the European Regional Development Fund (FERS - Fondo Europeo per lo Sviluppo Regionale), focuses on research and development to create an advanced prototype designed to support healthcare professionals in identifying key variables that influence the clinical behavior of patients in high-complexity care settings. This innovative approach leverages cutting-edge technologies in Deep Learning, Big Data, and computational processing to deliver actionable insights in real-time.
Data for the project were sourced from selected hospital departments, which played a crucial role in the experimental phase. These data were meticulously collected, pre-processed, homogenized, and organized into a graph-based database to ensure consistency and relevance. This structured repository facilitates comprehensive analysis, enabling deep learning algorithms to extract meaningful patterns, correlations, and insights.
The graph-based database enhances the ability to represent complex relationships among variables, offering a more nuanced understanding of clinical dynamics. The prototype aims to improve decision-making processes, enhance patient care, and optimize resource utilization in complex healthcare environments by adopting this data-driven approach.
WIKI Roads Map
National R&D Project 2014-2016
Role: Consultant
Focus on: IA-based solution for traffic management, collision avoidance and
Summary
WikiRoads Map is a Research and Development project funded by the PAC funds of MIUR – the Italian Ministry of Education, University and Research. The project aims to create a collaborative system that leverages, in an innovative and integrated manner, the data flow generated by road infrastructures and the surrounding territory. It applies semantic analysis technologies for the extraction, collection, integration, and publication of data.