Pedram Hassanzadeh, assistant professor of mechanical engineering and of Earth, environmental and planetary sciences at Rice University, has received a one-year, $15,000 grant from Microsoft AI for Earth for studying ways to predict extreme weather events using deep learning techniques.
The grant will give Hassanzadeh and his research group access to Microsoft’s Azure cloud-computing system and the company’s machine learning experts. His proposal was titled “Predicting Large-Scale Extreme-Causing Weather Patterns using Deep Learning.” Last year, Microsoft announced the AI for Earth program, pledging $50 million over five years for artificial-intelligence projects that address challenges in conservation biology and environmental science.
Hassanzadeh, who joined the Rice faculty in 2016, is an expert in environmental fluid dynamics and climate science. His research focuses on large-scale turbulent flows, such as those in the atmosphere. He uses computational, mathematical and statistical modeling to study atmospheric flows related to a broad range of issues, from extreme weather events to wind energy.