M. Grazia Speranza

Maria Grazia Speranza (born 30 March 1957) is an Italian applied mathematician and operations researcher.

Mixed integer programming models, computational complexity, worst-case analysis, exact (branch-and-cut and branch-and-price) and heuristic algorithms have been her primary areas of research.

She has collaborated on scientific projects with both Italian and foreign colleagues, and she has co-authored publications with some of the greatest scholars like Hans Kellerer and Ulrich Pferschy of the University of Graz (Austria), Zsolt Tuza of the Hungarian Academy of Science - Budapest (Hungary), Dimitri Bertsekas of the Massachusetts Institute of Technology (U.S.A.), Michel Gendreau, Gilbert Laporte, and Alain Hertz of the University of Montreal (Canada), Martin Savelsbergh of the Georgia Institute of Technology (U.S.A. (Canada).

She has served on committees to evaluate PhD theses from institutions throughout the world, including Troyes (France), Trondheim (Norway), Lausanne (Switzerland), and Lancaster (England) (UK).

[6] Speranza is the co-author, with Renata Mansini and Włodzimierz Ogryczak, of the book Linear and Mixed Integer Programming for Portfolio Optimization (EURO Advanced Tutorials in Operational Research, Springer, 2015).