AI-Patterns

The AI-Patterns project focuses on two main research activities, Semantic methodologies for Cloud-Edge Patterns Discovery and Composition and Pattern identification on cognitive tests and operational signals. 

The first activity aim is to develop advanced models and technologies to represent Cloud capabilities and patterns more efficiently using semantics. These models will automate the process of discovering, composing, and evaluating Cloud services, applicable in both vendor-independent and vendor-specific scenarios.

The second activity aims to investigate impaired aspects of social cognition between healthy individuals and those with Mild Cognitive Impairment (MCI), identifying differences in socio/behavioral features. It involves three main phases:

Data Collection involves gathering cognitive and operational data from healthy and impaired individuals, including cognitive tests and handwriting/drawing samples.

Data Processing employs statistical and artificial intelligence distributed algorithms to analyze collected data, aiming to identify behavioral features for detecting patients' health status and well-being. This includes developing acquisition devices and cloud-based algorithms to enhance diagnostic accuracy.

Data Fusion and Analysis integrates collected data through statistical fusion to improve decision-making in dementia care. This involves formulating mathematical models, conducting statistical analyses, and providing recommendations for interventions.

Project Team

• Prof. Beniamino DI MARTINO (Full Professor) - 5 PM - SSD ING-INF/05 (Information Processing Systems) - Department of Engineering
• Eng. Antonio Esposito (Researcher RTD-B) - 5 PM - SSD ING-INF/05 (Information Processing Systems) - Department of Engineering
• Eng. Salvatore D' Angelo (Researcher RTD-A) - 2 PM - SSD ING-INF/05 (Information Processing Systems) - Department of Engineering
• Prof. Anna Esposito (Full Professor) - 4 PM - SSD INF/01 (Computer Science) - Department of Psychology
• Prof. Gennaro Cordasco (Associate Professor) - 4 PM - SSD INF/01 (Computer Science) - Department of Psychology
• Prof. Maurizio D'Arienzo (Associate Professor) - 4 PM - SSD INF/01 (Computer Science) - Department of Political Science