Stefania Monica obtained a B.Sc. and a M.Sc. in Mathematics from the University of Parma. She also obtained a Ph.D. in Information Technology from the same University. From January 2017 to May 2020 she was a researcher (RTD-A) at the Department of Mathematics, Physics, and Computer Science of the University of Parma. Currently, she is assistant professor on a three-years tenure track (RTD-B) at the Department of Sciences and Methods for Engineering of the University of Modena and Reggio Emilia, where she is a member of the Distributed and Pervasive Intelligence Group.
Starting from her doctoral studies, her research interests include accurate and robust indoor localization in industrial environments using UWB signaling. Recently, her interest on indoor localization focused on the use of other signaling technologies, and on the proposal of the localization as optimization approach. Stefania is also interested in constraint satisfaction problems and their applications. In particular, her contribution on this subject concerns the study of effective algorithms to treat polynomial constraints over finite domains. Finally, she has recently started a research on the study of long-term asymptotic properties of large multi-agent systems using ideas and methods borrowed from mathematical kinetic theories.