Francesca Maggioni is Professor of Operations Research at the Department of Management, Information and Production Engineering (DIGIP) of the University of Bergamo (Italy).
She teaches courses in “Operational Research”, “Optimization”, “Numerical Analysis”, “Financial and Insurance Risk Modeling” and "Optimization for Healthcare problems”.
Her research interests concern both methodological and applicative aspects for optimization under uncertainty. From a methodological point of view, she has developed different types of bounds and approximation for stochastic, robust and distributionally robust multistage optimization problems. She applies these methods to solve problems in logistics, transportation, energy, finance and machine learning. On these topics she has published more than 60 scientific articles featured in peer-reviewed optimization and operations research journals.
In 2021 her research has been supported as principal investigator by a grant from the Italian Ministry of Education for the project “ULTRA OPTYMAL Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning” (20207C8T9M, score 100/100, 532.800 Euros).
She serves the EURO Working Group on Stochastic Optimization as chair in the period 2022-2024, the AIRO Thematic Section of Stochastic Programming as chair in the period 2018-2025 and the Stochastic Programming Society as secretary in the period 2020-2023.
She is Associate Editor of the journals Computational Management Science, EURO Journal on Computational Optimization, TOP, International Transactions in Operational Research (ITOR), Networks and guest editor of several special issues in Operations Research.
She is currently coordinating the research group CQIIA-MatNet for teaching of mathematics and its applications of the University of Bergamo and is Deputy Director of the PhD program in Applied Economics & Management of the Universities of Bergamo and Pavia.