Mario L.V. Martina is scientific advisor at RED. He is also senior researcher at IUSS - School of Advanced Study, Pavia (Italy) in hydrology and adjunct professor at the University of Bologna (Italy). He is lecturer in Hydrology and Flood Risk at the University of Bologna and in Loss Adjustment of Natural Disaster in the Master course Risk Engineering and Loss Adjustment at Cineas - Polytechnic University of Milan (Italy). His research activity is mainly focused on probabilistic approaches for natural hazards and risk assessment, physically-based hydrological models and assessment of uncertainty in the prediction. He received his degree in Civil Environmental Engineering and his PhD in Physically Based Modeling for the Environmental Protection at the University of Bologna. He obtained an MSc in Risk Engineering and Loss Adjustment at Cineas - Polytechnic University of Milan. He participated to several EU funded research projects (MUSIC, MITCH, FLOODsite, EcoStress) and Italian research projects (Cubist, MisPor, MiDA). He has been visiting researcher at numerous academic institutions including the MIT, the Oregon State University and the University of Newcastle-upon-Tyne. He has been research fellow within the Willis Research Network and consultant for several Insurance/Re-Insurance Company and brokers for the scientific and technical review of catastrophe models. He has been consultant for several research institution or public administration including the Environmental Agency and the Civil Protection.

Selected publications:

• Figueiredo, R., and M. Martina. 2016. "Using open building data in the development of exposure data sets for catastrophe risk modelling." Natural Hazards and Earth System Sciences 16, no. 2 (2016): 417-429.
• Dottori, F., Martina, M.L.V. and Figueiredo, R., 2016. A methodology for flood susceptibility and vulnerability analysis in complex flood scenarios. Journal of Flood Risk Management.
• Golian, S., Yazdi, J., Martina, M.L.V. and Sheshangosht, S., 2015. A deterministic framework for selecting a flood forecasting and warning system at watershed scale. Journal of Flood Risk Management, 8(4), pp.356-367.
• Berti, M., Martina, M.L.V., Franceschini, S., Pignone, S., Simoni, A. and Pizziolo, M., 2012. Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach. Journal of Geophysical Research: Earth Surface, 117(F4).
• Terribile, F., Coppola, A., Langella, G., Martina, M. and Basile, A., 2011. Potential and limitations of using soil mapping information to understand landscape hydrology. Hydrology and Earth System Sciences, 15(12), pp.3895-3933.
• Martina, M.L.V., Todini, E. and Liu, Z., 2011. Preserving the dominant physical processes in a lumped hydrological model. Journal of hydrology, 399(1), pp.121-131.
• De Waele, J., Martina, M.L., Sanna, L., Cabras, S. and Cossu, Q.A., 2010. Flash flood hydrology in karstic terrain: Flumineddu Canyon, central-east Sardinia. Geomorphology, 120(3), pp.162-173.
• Dottori, F., Martina, M.L.V. and Todini, E., 2009. A dynamic rating curve approach to indirect discharge measurement. Hydrology and Earth System Sciences, 13(6), p.847.
• Martina, M.L.V., Todini, E. and Libralon, A., 2009. Rainfall thresholds for flood warning systems: A Bayesian decision approach. In Hydrological Modelling and the Water Cycle (pp. 203-227). Springer Berlin Heidelberg.
• Mantovan, P., Todini, E. and Martina, M.L., 2007. Reply to comment by Keith Beven, Paul Smith and Jim Freer on “Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology”. Journal of Hydrology, 338(3), pp.319-324.
• Liu, Z., Martina, M.L. and Todini, E., 2005. Flood forecasting using a fully distributed model: application of the TOPKAPI model to the Upper Xixian Catchment. Hydrology and Earth System Sciences Discussions, 9(4), pp.347-364.
• Martina, M.L. and Entekhabi, D., 2006. Identification of runoff generation spatial distribution using conventional hydrologic gauge time series. Water resources research, 42(8).

Curriculum vitae: