Matteo Ravasi

Assistant Professor, Earth Science and Engineering

Physical Science and Engineering Division
Deep Imaging Group (DIG)


Education Profile

  • Ph.D. Geophysics, University of Edinburgh, 2015
  • M.Sc. Telecommunications, Politecnico di Milano, 2011
  • B.Sc. Telecommunications, Politecnico di Milano, 2009

Research Interests

​Professor Ravasi's research interests are in geophysical inverse problems with applications to seismic acquisition and processing, imaging, quantitative interpretation, and time-lapse monitoring. He is also interested in the use of machine learning and high-performance computing and heavily involved in the development of open-source software.

Selected Publications

  • Ravasi, M. and Vasconcelos., I., 2020, PyLops - A Linear-Operator Python Library for large scale optimization. SoftwareX, 11.
  • Ravasi, M., 2017, Rayleigh-Marchenko redatuming for target-oriented, true-amplitude imaging. Geophysics, 82(6).
  • van der Neut, J., Ravasi, M. Liu, Y., and Vasconcelos, I., 2017, Target-enclosed seismic imaging. Geophysics, 82(6).
  • Vasconcelos, I., Ravasi, M., and van der Neut, J., 2017, Subsurface-domain, interferometric objective functions for target-oriented waveform inversion, Geophysics, 82(4).
  • Ravasi, M., Vasconcelos, I., Kritski, A., Curtis, A., da Costa Filho C.A., and Meles, G., 2016, Target-oriented Marchenko imaging of a North Sea field. Geophysical Journal International - Express Letters, 205.
  • Ravasi, M., and Curtis, A., 2013, Elastic imaging with exact wavefield extrapolation for application to ocean-bottom 4C seismic data, Geophysics 78(6).