game theorymachine learningpattern recognitionartificial intelligencecomputational linguisticsnlp
Rocco Tripodi is Post Doctoral Research at Dipartimento di Studi Linguistici e Culturali Comparati, Ca’ University of Venice, where he is working on learning models based on game theoretic principles. He completed his PhD in Computer Science at Ca' Foscari University in 2015 with a thesis titled "Evolutionary Game Theoretic Models for Natural Language Processing". He was Research Assistant and Adjunct Professor at Ca' Foscari University in 2010, where he worked on ontological semantics and taught Corpus Linguistics and Natural Language Processing for Online Applications. In 2015, he was visiting researcher at Staffordshire University (UK).
His research interests are in the areas of machine learning and natural language processing. He is particularly interested in classification problems on networked data, from a semantic perspective and on the design, learning and evolution of linguistic communication systems. At present, he is working on learning models inspired by evolutionary game theoretic principles, with applications to the analysis of multi-modal signals from interacting agents and on opinion dynamics.
Protein function prediction as a graph-transduction game