Research Activity
The AI-ISA Group has extensive experience in Computer Vision, Pattern Recognition, and Signal Analysis, as well as expertise in Deep/Machine Learning. The group’s activities focus on:
– Method development and design of new learning networks and algorithms for feature extraction/pattern identification/classification in images and signals.
– Development of models for the interpretability and explainability of machine learning systems, to understand and explain their predictions or classifications.
– Development of models based on end-to-end Deep/Machine Learning systems in the context of Generative Models for the generation of new patterns with characteristics similar to those of real data in the application domain.
– Development of Artificial Intelligence models for mobile devices designed to provide low-latency inference performance at extremely low costs in terms of processing power, memory, and energy consumption.
– Development of innovative algorithms for Federated Learning based on Computational Intelligence methodologies.
– Use of Soft Computing methodologies for Neuroevolution for both shallow and deep neural networks, including in the context of Federated Learning.
Goals
The AI-ISA Group has three main objectives:
– Design and development of AI models and methods for the automatic analysis of images, signals, and data that are inherently difficult for a human operator to inspect, or that require highly specific skills to extract their semantic content.
– Design and development of methodologies for interpreting and explaining the decision-making mechanisms underlying complex AI models.
– Design and development of AI models capable of processing images, signals, and data in resource-limited environments.
Application Fields
Particular interest is oriented to the application fields of Medical/Biological Imaging, Healthcare, and Agrifood and Environment.
IVANOE DE FALCO
ANTONIO DELLA CIOPPA
SALVATORE GIUGLIANO
CARMELO MILITELLO
DANIEL RICCIO
GIOVANNA SANNINO
- Traas
- Smart Health 2.0
- SIRIMAP – Sistemi di Rilevamento innovativi per il monitoraggio dell’Inquinamento Marino da Plastiche e successivo recupero e riciclo
- HIMALAYA
- FSE6: Realization of services and tools for Public Administrations for the implementation of the Electronic Health Record
- FAIR_Spoke 3: Resilient AI
- EXPLORER
- eHealthNet
- e-Brewery – Virtualizzazione, sensing e IoT per l’innovazione del processo produttivo industriale delle bevande
- DS4Health – Digital skills for Healthcare Transformation
- D3_4Health
- Campania Oncotherapies
- AMICO Assistenza Medicale In COntextual awareness
- AMICO : Automazione e Monitoraggio Intelligente dei Consumi
- A.S.K. – Health
NATIONAL IRCCS INSTITUTES:
IRCCS: National Cancer Institute – Milan, “Bonino Pulejo” Neurolesion Center
HOSPITAL FACILITIES:
“Vincenzo Monaldi” Hospital – AOS dei Colli
ITALIAN UNIVERSITIES:
Universities: Naples “Federico II”, Naples “Parthenope”, Salerno, Campania “L. Vanvitelli”, Polytechnic University of Milan, Messina, Palermo, Enna “Kore”, Bari “Aldo Moro”, Trento
FOREIGN UNIVERSITIES:
UK University of Hertfordshire, United Kingdom
DE Aachen University, Germany
PL Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland
FR University of Lille, Lille, France
CZ University of West Bohemia, Pilsen, Czech Republic
ES Pablo de Olavide University, University of Las Palmas de Gran Canaria, Spain
CNR
Institute for Sustainable Plant Protection (IPSP-CNR)
