About Marco Ballesio Marco Ballesio Ph.D., Applied Mathematics and Computational Science Stochastic Modeling uncertainty quantification Marco Ballesio is a Ph.D. candidate at Stochastic Numerics Research Group (STOCHNUM) under the supervision of Professor Raul F. Tempone at King Abdullah University of Science and Technology (KAUST). Research Interests Marco's research interests include Probability Theory and Stochastic Processes, Stochastic Modeling, Uncertainty Quantification. Education Profile Laurea Magistrale (Master’s Degree) in Mathematics for Engineering, Politecnico di Torino (Grade: 110/110 cum laude), (2013-3/2016). Allievi Honors Program, Allievo Senior, Collegio Carlo Alberto (2013-3/2016). Erasmus Student at Aalto Events Presented Events Jan 9 - Jan 15, 2022 Multilevel Methods for Stochastic Forward and Inverse Problems Marco Ballesio, Ph.D., Applied Mathematics and Computational Science Jan 12, 11:00 - 12:00 KAUST This thesis studies novel and efficient computational sampling methods for applications in three types of stochastic inversion problems: seismic waveform inversion, filtering problems, and static parameter estimation.
Multilevel Methods for Stochastic Forward and Inverse Problems Marco Ballesio, Ph.D., Applied Mathematics and Computational Science Jan 12, 11:00 - 12:00 KAUST This thesis studies novel and efficient computational sampling methods for applications in three types of stochastic inversion problems: seismic waveform inversion, filtering problems, and static parameter estimation.
Related Sites Stochastic Numerics Research Group (STOCHNUM) Applied Mathematics and Computational Science (AMCS) Related Content Articles 2 Events 1 Related Links LinkedIn Profile
