Strengthening of the Italian Research Infrastructure for Metrology and Open Access Data in support to the Agrifood
UNIBA1 – Agrifood Open Data and ICT integration
(Reference person: Sabina Tangaro)
The OU “Agrifood Open Data and ICT integration” involves an interdisciplinary research group of the Università degli Studi di Bari Aldo Moro that includes high-level scientific expertise in analysis of images, signals and data, and development of Intelligent Decision Support System, Clustering algorithms, Predictive Models in applied sciences and food sensors for spectroscopic and microscopic characterisation. The component of this OU are from two UNIBA Departments, namely: Department of Soil, Plant and Food Sciences (DiSSPA) and Department of Physics (FIS).
In the ICT sector, the OU has always developed in-house innovative open solutions for its advanced distributed computing needs and for the production and analysis of large quantities of scientific data. In order to facilitate the processing of large amounts of data and allow more efficient analysis of the datasets, the OU provides scientific and technological solutions to address relevant issues arising from the multidimensional analysis of datasets. The UNIBA group has been involved in activities related to the analysis and understanding of images and patterns and has in general gained an expertise on image processing, pattern recognition, machine/deep learning and complex network analysis. The OU is highly engaged in developing and deploying related explainable Artificial Intelligence applications in the field of digital food, besides a particular attention is given to the “Big Data” approach.
UNIBA HPC
REeCaS Data Center
Sabina Tangaro
Is associate professor of Applied Physics at the University of Bari. She focuses on activities related to the analysis and understanding of images and patterns gaining an expertise on image processing, computer vision, pattern recognition, machine learning, complex networks and related applications. She coordinates some research projects founded by INFN, Regione Puglia, Univesity of Bari and Italian Ministry of Research. Her work is focused on developing Computer Aided Detection (CAD) software systems, predictive model based on Artificial Intelligence for applications on distributed databases, identifying and explain quantitative biomarkers of pathologies and the understanding the complex biological phenomena. In the last years her research activity also includes the development of scientific applications in the HPC computing environment and explainable artificial intelligence models.
Roberto Bellotti
Is a full professor of Applied Physics at the University of Bari. His current research interests are in One Health physics model by means of machine learning techniques and complex network analysis. He servs as director of the Department of Physics. The research programs involve more about 20 researchers whose investigations aim at the development of fully automated predictive model for the data driven analysis. He is co-author of more than 480 publications in peer-reviewed journals, with h-index 59.
Maria De Angelis
Is Full Professor of Agricultural Microbiology and Director of the Department of Soil, Plant and Food Sciences of University of Bari. Her research activities concern the microbiology and biotechnology of food with emphasis on the biotechnological implications of lactic acid bacteria, the study of the human gut microbiota and its implications with diet, probiotics, prebiotics and human health. She is co-author of more than 280 publications in peer-reviewed journals, with h-index 70.