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MARIA SILVIA PINI

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Position

Professoressa Associata

Address

VIA G. GRADENIGO, 6/B - PADOVA

Telephone

0498277704

Maria Silvia Pini is Associate Professor at the Department of Information Engineering of the University of Padua since June 2015. She was Assistant Professor from May 2012 to May 2015. In October 2003 she obtained a degree in Mathematics with Honours and in March 2007 she obtained a PhD in Computational Mathematics at the University of Padua discussing a thesis in the Artificial Intelligence field entitled `Reasoning with Preferences and Uncertainty'. She then carried out research in the field of Artificial Intelligence as a Postdoctoral Researcher for 5 years at the Department of Mathematics of the University of Padua.

Her research activity is in the field of Artificial Intelligence and concerns the reasoning with preferences and uncertainty, the aggregation of preferences in multi-agent systems, the computational aspects of voting theory and the stable matching problems. On these issues she published 14 papers in international journals and 85 papers in international conference proceedings and workshop proceedings.

She has collaborated with researchers from various international centers including NICTA and QUT (Australia), the University of Oslo, INRIA (France), the Cork Constraint and Computation Center (Ireland), the University of Paris and the University of Amsterdam.

She has been a member of the program committee of several relevant international conferences in the field of Artificial Intelligence and Multi-agent Systems (AAAI, IJCAI, AAMAS, ECAI, COMSOC, MPREF). She was one of the organizers and program co-chairs of the 11th Soft Preferences and Constraints Workshop (SOFT 2011) and she collaborated actively on the organization of the first international conference on algorithmic decision theory (ADT 2009).

Notices

Research Area

Artificial Intelligence, Preference Reasoning, Aggregation of Preferences in Multiagent Systems, Computational Social Choice, Voting Theory, Preference Elicitation, Reasoning with Uncertainty, Compact Preference Representation Methods, Soft Constraints, CP-nets, Stable Matching, Optimization, Reputation Systems and Recommendation Systems.