Subject to: Francesca Maggioni
Francesca Maggioni is Associate Professor of Operations Research at the Department of Management, Information and Production Engineering (DIGIP) of the University of Bergamo (Italy). Her research interests concern both methodological and applicative aspects of optimization under uncertainty. From a methodological point of view, she has developed different types of bounds and approximations for stochastic, robust and distributionally robust multistage optimization problems. She applies these methods to solve problems in logistics, transportation, energy production, pension funds and machine learning. On these topics she has published more than 60 scientific articles featured in peer-reviewed operations research and optimization journal like, among others, SIAM Journal on Optimization (SIOPT), European Journal of Operational Research (EJOR), Transportation Science, Journal of Optimization, Theory and Applications (JOTA). She is currently serving the \u201cEURO Working Group on Stochastic Optimization\u201d and the \u201cAIRO Thematic Section of Stochastic Programming\u201d as chair and has served the \u201cStochastic Programming Society\u201d in the period 2016-2023. She is Associate Editor of the journals \u201cComputational Management Science\u201d (CMS), \u201cEURO Journal on Computational Optimization\u201d (EJCO), \u201cAn Official Journal of the Spanish Society of Statistics and Operations Research\u201d (TOP), \u201cNetworks\u201d and \u201cInternational Transactions in Operational Research\u201d (ITOR). She is principal investigator of the PRIN 2020 project "Urban Logistics and sustainable TRAnsportation: OPtimization under uncertainTY and MAchine Learning (ULTRAOPTYMAL) funded by the Italian University and Research Ministry.