BEGOÑA VITORIANO
Profesora titular de universidad
Department: Estadística e Investigación Operativa
Faculty: Ciencias Matemáticas
Centre/Institute: Instituto de Matemática Interdisciplinar (IMI)
Universidad: Complutense University of Madrid
Area: Statistics and Operations Research
Research group: HUMLOG Modelos de decisión en logística y gestión de desastres (Logística humanitaria)
Email: bvitoria@ucm.es
Personal web: https://blogs.mat.ucm.es/bvitoriano
Doctor by the Universidad Complutense de Madrid with the thesis Bloques-antibloques. Relación con los problemas de recubrimiento y empaquetado 1995. Supervised by Dr. Miguel Sánchez García.
Begoña is Associate Professor at the Department of Statistics and Operational Research of Complutense University of Madrid (UCM) since 2009, and researcher of the Interdisciplinary Mathematics Institute (IMI). She has been a university lecturer since 1990, at the UCM and at the Comillas Pontifical University (1997-2006). Particularly relevant is her activity in knowledge transfer and her leadership in research projects, contracts and groups creation and management: • She has participated in 5 proposals of European projects (one as Principal Researcher), 2 of them with success, being PR at UCM of the RISE-MSCA-H2020 GEOSAFE (2016-20), and, currently, being PR at UCM of the HORIZON-RIA project HURRICANE (2025-28). • She has been PR of 11 national research projects, including a Thematic Network on Multiple Criteria Decision Making, and participated in other 32 projects as a team member. Begoña was one of the experts of the Mathematical Action against Coronavirus of the Spanish Committee of Mathematics (CEMat) (2020-21). • She has been PR of 10 contracts with private companies and entities, participating in other 17 contracts. • She has been PR of 11 cooperation for development projects on competitive calls, and team member of other 6. She has been involved in development cooperation activities organising programs in El Salvador, Peru and Mozambique since 1995, providing her with extensive knowledge of other realities and motivating her research. • She is the President of the Spanish Society of Statistics and Operations Research SEIO (2022-2025), being previously Elected President (2021-2022). • She is the founder and coordinator of the UCM research group Decision Aid Models for Logistics and Disaster Management (Humanitarian Logistics) since 2011, and organiser of the IMI Data Science Club since 2019. • She has been coordinator of the Master’s Degree in Mathematical Engineering of UCM (2010-12), of several masters in Statistics (El Salvador, Peru and Mozambique), the first coordinator of the Master in Disaster Management of the UCM and the Technical University of Madrid (UPM) (2014-19), and coordinator of the PhD Programme in Mathematical Engineering, Statistics and Operational Research of UCM and UPM (2015-22). • Begoña has supervised 35 Master Theses, 30 Degree Theses and 6 PhD Theses, the last two as the only supervisor reaching one of them the 2022 Prize for the Best PhD Thesis in MCDM of the Spanish Group on MCDM, and another one in cotutelle with John Hearne of the Royal Melbourne Institute of Technology (Australia). • She also has an international recognition, as can be seen by the 5 proposals of European projects, with an intensive activity in conferences and as member of international committees (EMS, CIMPA...). In 2023, she has been member of the Scientific Committee of the IFORS conference and plenary speaker of the XI CSMIO. She is author of more than 75 research publications (32 in journals included in the JCR), being also co-editor of the book Decision Aid Models for Disaster Management and Emergencies (Springer, 2013) and author of the chapter Humanitarian Logistics of the Handbook of Disaster Risk Reduction and Management (World Scientific Press & Imperial College Press, 2017). Her research focuses mainly on Integer and Stochastic Programming, and Multicriteria Decision Making, leading and developing, with her collaborators, new lines of research, new mathematical models for real problems, new mathematical and solution concepts, new methodologies for solving models, and even identifying new theoretical problems in OR.