Amazon

Dr Haroldo F. de Campos Velho will deliver the ESE Departmental Seminar on 27 October 2022, “Machine Learning applications: data assimilation, hybrid methods for atmospheric prediction, and aerial drone autonomous navigation on the Amazon region (Brazil)”

Join us in room G41 – RSM Building – on Thursday 27 October 2022 at 12h15.

Or on Microsoft Teams: Haroldo F. de Campos Velho Seminar

Abstract

Machine learning algorithms have been employed for many applications. In the presentation, neural networks are applied for significative reduction of the computational effort for data assimilation process – a scheme for  combining data from observational system and a previous forecasting –  for numerical weather and ocean predcitions. Several machine learning algorithms are evaluated to be coupled with a limited area atmospheric model (WRF) for extreme events prediction. Finally, autonomous navigation  strategies for aerial drones are investigated based on machine learning  schemes. A particular challenge for autonomous navigation is over the Amazon region. In the seminar, it will be shown our approach to address that challenge.

 

About the speaker

Dr. Haroldo F. de Campos Velho is a senior researcher of the National Institute  for Space Research (INPE) – Brazil. He was Associate Director for Space and Environment of the INPE (2008-2010). He received his BS degree (1982) in Chemical Engineering from the Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil; D.Sc. (1992) and M.Sc. (1988) degrees in Mechanical Engineering on computational fluid dynamics and nuclear reactor physics, respectively, from the Federal University of Rio Grande do Sul (UFRGS), Brazil. He was a visiting scientist for the Istituto di Cosmo-Geofisica (Turin,  Italy) – 1997, and Dept. of Atmospheric Science of the Colorado State University (USA) – 1998.  His research interests include inverse problems,  turbulence modelling, data assimilation, and scientific computing.

Getting here