Department: Estadística e Investigación Operativa

Faculty: Ciencias Matemáticas

Centre/Institute: Instituto de Matemática Interdisciplinar (IMI)

Area: Statistics and Operations Research

Research group: Modelos de decisión en logística y gestión de desastres (Logística humanitaria)

Email: javier.martin.campo@ucm.es

Personal web: https://blogs.mat.ucm.es/fjmartinc/en/

Doctor by the Universidad Rey Juan Carlos with the thesis The collision avoidance problem Methods and algorithms 2010. Supervised by Dr. Laureano Fernando Escudero Bueno, Dr. Antonio Alonso Ayuso.

F. Javier Martín Campo holds a M.Sc. in Mathematics (UCM, 2007), a M.Sc. in Statistical Sciences and Techniques (UCM, 2011) and a Ph.D. from the Universidad Rey Juan Carlos (URJC, 2010). He has received the Ramiro Melendreras Prize (2012), awarded by the Spanish Society of Statistics and Operations Research, and the Prize for the Contribution to the Transfer of Mathematical Knowledge in the Ph.D. Thesis "The collision avoidance problem: Methods and algorithms" (2011), awarded by the Royal Society of Spanish Mathematics. His research area includes mixed integer linear and mixed integer nonlinear programming models, metaheuristics and applications. He has participated in several research projects and contracts with companies: GMV, Repsol, Idom, Cortichapa, Mapal, where he has developed mathematical optimisation models and metaheuristic algorithms to solve the problems posed. The problems he has worked on can be divided into two main groups: commercial logistics and humanitarian logistics. Problems in commercial logistics include: air traffic conflict detection and avoidance problems, air traffic management, service delocation problems, cutting and packing problems. Problems in humanitarian logistics include: humanitarian aid distribution problems, disaster management models, design of decentralised rural electrification programmes, and planning of field hospital deployment schedules. Currently, his main research focuses on the study of mathematical optimisation models and metaheuristic algorithms for cutting and packing problems from different dimensionality approaches. He has visited Brunel University (UK), the Mathematical Institute of the Serbian Academy of Sciences and Arts (Serbia), the Royal Melbourne Institute of Technology University (Australia) and the Universidade de Porto (Portugal). He has a strong commitment to knowledge transfer and cooperation. He has been involved in numerous inter-university collaborations and has taught at universities such as Universidad de El Salvador and Universidade Pedagógica de Moçambique.