The UNIWA AI Innovation Hub is a pioneering initiative advancing AI research and innovation through a state-of-the-art infrastructure. Serving as a central access point, it connects businesses in Attica with advanced facilities and specialized expertise, fostering AI-driven solutions across multiple sectors. At its core, UNIWA CloudAI provides a scalable computing platform supporting multi-user access, secure data processing, and hardware expansion. This infrastructure enables researchers and SMEs to analyze data while ensuring privacy and integrity.
The Hub’s key areas of focus include:
- Health & Nutrition: Developing AI-driven models for medical imaging, bone density analysis, and bioanalytical data processing to detect and quantify bone mass reduction. Collecting and analyzing large-scale genomic, proteomic, and metabolomic data to create innovative health and nutrition solutions, benefiting SMEs in diagnostics, food production, and pharmaceuticals.
- Cultural Heritage: Research on paleofood and archaeofood, with applications in educational materials, gastronomy and catering, contributing to innovation.
- Energy: Optimizing PV and battery storage unit operations using machine learning for better forecasting of generation, consumption, and wholesale electricity prices. Developing strategies for day-ahead scheduling in self-production and energy aggregation.
- Intelligent Structures: Advancing 3D printing with AI-driven design, integrating numerical methods and optimization algorithms. Enhancing precision, structural predictability, and energy efficiency while reducing design constraints and material waste.
- Environment: Automating geospatial and environmental data collection through a self-propelled system integrating scanning and sensing technologies. Real-time processing enables enhanced monitoring of 3D space mapping, particulate matter (PM2.5), visibility, cloud base height, and seabed composition.
With over 125 Letters of Interest, the Hub plays a vital role in removing scientific and technological barriers for SMEs, equipping them with tools, expertise, and infrastructure for AI-integrated product development. Professor Cleo Sgouropoulou, as the scientific lead, along with a team of specialized experts from UNIWA, drives AI research and its real-world applications, fostering innovation across industries.