معرفی
Marco Gori is a Full Professor at the Department of Information Engineering and Mathematical Sciences, University of Siena. His research spans Artificial Intelligence, Machine Learning, and Neural-Symbolic AI, with significant contributions to Educational Technology and Knowledge Graphs. He teaches Algorithms and Data Structures for undergraduate Management Engineering and Fundamentals of Machine Learning for graduate Artificial Intelligence and Automation Engineering. His recent work integrates Graph Neural Networks and State-Space Models for tasks like educational quiz generation and interoperable supply chain traceability.
His publications highlight trends in Hybrid AI, focusing on interpretable models, cross-language educational tools, and temporal sequence processing. Articles like Grounding Methods for Neural-Symbolic AI and Interpretable-by-design Link Prediction underscore his emphasis on explainability and knowledge integration in AI systems.
