AI@UniFE is a multidisciplinary research group, part of the IN4 Hub of the University of Ferrara, bringing together experts from the Department of Engineering, the Department of Mathematics and Computer Science, the Department of Chemical, Pharmaceutical and Agricultural Sciences and the Department of Environmental and Prevention Sciences.

Our focus is on advancing Machine Learning and Artificial Intelligence, pushing the boundaries of innovation and discovery. Through cutting-edge research, we tackle complex challenges across various domains, contributing to the development of intelligent systems that drive both academic progress and real-world applications. 

At AI@UniFE, we are dedicated to fostering collaboration and delivering impactful solutions in the rapidly evolving field of AI.

We developed a comprehensive suite of software tools that span various domains of artificial intelligence, with a particular focus on Probabilistic Logic Programming, Semantic Web, Deep Learning and Neural-Symbolic Integration.

Key projects include web applications for probabilistic logic programming (cplint on SWISH) and for integrating tableau reasoners from the TRILL framework. We have also developed tools and interactive platforms for teaching Bayesian networks (Belief propagation), and algorithms for reasoning over probabilistic ontologies using DISPONTE semantics. You can find linked below.

Among the several software and applications we developed, some optimize deep neural network training with symbolic rules, while others focus on scalable learning of probabilistic logic programs and hierarchical structures. 

We offer undergraduate and graduate theses, as well as PhD research opportunities, guiding students at all levels through hands-on or theoretical projects in cutting-edge AI. Our team is dedicated to mentoring the next generation of researchers and innovators in artificial intelligence.

If you are a student interested in conducting an internship with the AI@UNIFE research group, please contact: Professor Evelina Lamma, Professor Fabrizio Riguzzi, Professor Marco Gavanelli, Professor Marco Alberti, Professor Elena Bellodi, and Professor Riccardo Zese.