Francesca Rossi is a full professor of computer science at the University of Padova, in Italy. Her research interests focus on artificial intelligence (AI), with a particular emphasis on preference modeling and reasoning, constraint processing, multi-agent systems, and voting theory.
Preferences are ubiquitous in our lives, and we make decisions based on them—at times by compromising with individuals to whom we are connected on social media such as Twitter or Facebook. Knowing how to extract, model, and combine the preferences of several individuals in such online social settings therefore has great potential. The main goal of Rossi’s project is to study and develop techniques for preference extraction, modeling, and aggregation for collective decision making. Rossi aims to generalize the scope and goals of sentiment analysis in order to understand preferences over several correlated items. She proposes to do so by exploiting and adapting notions and techniques from AI (such as knowledge representation, natural language processing, reasoning with uncertainty, and machine learning) and voting theory.
Rossi holds a PhD in computer science from the University of Pisa, in Italy. She has published more than 170 papers in international conferences or journals, edited 16 volumes, and coauthoted a book. She has served as program chair for three international conferences and as president of the Association for Constraint Programming. Rossi is a fellow of the Association for the Advancement of Artificial Intelligence and the European Coordinating Committee for Artificial Intelligence and the current president of the International Joint Conference on Artificial Intelligence.