Where and when

Computational Science and Engineering (CSE) complement theory and experiment as a critical component of scientific discovery. CSE is indispensable for leading edge investigation and engineering design in a vast number of industrial sectors. CSE also contributes to policy and decisions relating to human health in many new areas such as medicine, the life sciences, etc. CSE is naturally interdisciplinary. At the frontiers of CSE remain many open problems and challenges, including the verification, validation, and uncertainty quantification of computational models. [...] The SIAM CSE conference seeks to enable in-depth technical discussions on a wide variety of major computational efforts on large-scale problems in science and engineering, foster the interdisciplinary culture required to meet these large-scale challenges, and promote the training of the next generation of computational scientists. ^{[source: "About the Conference"]}

PROGRAMS

The MIDA group will take part in it with a two talk, a seminar and a poster:

• in the minisymposium "High-Fidelity and Data-Driven Methods for Multiscale and Multi-Physics Problems” with "Prediction of severe thunderstorm events as a warning machine with deep learning and radar data" – talk by Sabrina Guastavino and with "Data-Driven Fitting for First Hard X-Ray Imaging Results by Solar Orbiter Stix” – seminar by Emma Perracchione
• in the minisymposium "Perspectives in Modern Kernel Approximation Methods" with "Local-to-Global Support Vector Machines (LGSVMs)" – talk by Francesco Marchetti 
• in the poster session with "Narrowband Transmit Beam Pattern in Medical Ultrasound: a Stochastic Approach to Delays Optimization" – poster by Chiara Razzetta