Francesc Pozo Montero

Associate professor at UPC
Research area: Mathematical Modelling / Statistics

PhD in Mathematics obtained at Universitat Politècnica de Catalunya (2005)


Francesc Pozo received the degree in mathematics from the University of Barcelona, Barcelona, Spain, in 2000, and the Ph.D. degree in applied mathematics from the Universitat Politècnica de Catalunya, Barcelona, in 2005. Since 2000, he has been with the Department of Mathematics and the Barcelona East School of Engineering (EEBE), Universitat Politècnica de Catalunya, where he is currently an Associate Professor with the Control, Modeling, Identification and Applications Research Group (CoDAlab). He is also a Teaching Collaborator at the Open University of Catalonia, Barcelona.

His research interests include wind turbine control, semiactive vibration mitigation in civil engineering structures (buildings and bridges), automotive and aeronautic systems, and offshore support structures, structural health monitoring (SHM) and condition monitoring (CM) and, in general, the application of applied mathematics in engineering problems.

Dr. Pozo serves as a Secretary of the Spanish Joint Chapter of the IEEE Control Systems Society (CSS) and the IEEE Industrial Applications Society (IAS). He is also a member of the European Association for the Control of Structures (EACS) and an Editorial Board Member for international journals, such as Mathematical Problems in Engineering. Dr. Pozo is author of more than 45 research papers, 13 book chapters and 100 conference papers.

Research lines

  • Structural control
  • Condition monitoring of wind turbines
  • Structural health monitoring
  • Wind turbine control
  • Modeling and identification of systems

Selected publications

Vitola, J., Pozo, F., Tibaduiza, D. A., & Anaya, M. (2017). A sensor data fusion system based on k-nearest neighbor pattern classification for structural health monitoring applications. Sensors, 17(2), 417.

Pozo, F., Arruga, I., Mujica, L. E., Ruiz, M., & Podivilova, E. (2016). Detection of structural changes through principal component analysis and multivariate statistical inference. Structural Health Monitoring, 15(2), 127-142.

Mujica, L. E., Ruiz, M., Pozo, F., Rodellar, J., & Gu?emes, A. (2013). A structural damage detection indicator based on principal component analysis and statistical hypothesis testing. Smart materials and structures, 23(2), 025014.

Zapateiro, M., Pozo, F., Karimi, H. R., & Luo, N. (2012). Semiactive control methodologies for suspension control with magnetorheological dampers. IEEE/ASME Transactions on mechatronics, 17(2), 370-380.

Bahar, A., Pozo, F., Acho, L., Rodellar, J., & Barbat, A. (2010). Hierarchical semi-active control of baseisolated structures using a new inverse model of magnetorheological dampers. Computers & structures, 88(7-8), 483-496.