Kamyar Azizzadenesheli

Kamyar Azizzadenesheli is a senior research scientist at NVIDIA. Previously, he held positions as an assistant professor at Purdue University in the Department of Computer Science and as a postdoctoral scholar in the Department of Computing and Mathematical Sciences (CMS) at the California Institute of Technology (Caltech). He is a former visiting student researcher at Caltech working with ML and control researchers in the CMS department and in the Center for Autonomous Systems and Technologies. He also held various research roles at Stanford University, U.C. Berkeley, INRIA France, and Microsoft Research Labs. He received his Ph.D. at the University of California, Irvine.
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Posts by Kamyar Azizzadenesheli

Simulation / Modeling / Design

Next-Generation Seismic Monitoring with Neural Operators

Virtual seismology has only been around for a few years, and it has already had a significant impact on earthquake monitoring.  Historically, seismic phase... 6 MIN READ
Simulation / Modeling / Design

Modeling Earth’s Atmosphere with Spherical Fourier Neural Operators

Machine learning-based weather prediction has emerged as a promising complement to traditional numerical weather prediction (NWP) models. Models such as NVIDIA... 8 MIN READ
Image of underground reservoir modeling.
Simulation / Modeling / Design

Using Carbon Capture and Storage Digital Twins for Net Zero Strategies

CO2 capture and storage technologies (CCS) catch CO2 from its production source, compress it, transport it through pipelines or by ships, and store it... 13 MIN READ
Simulation / Modeling / Design

Accelerating Climate Change Mitigation with Machine Learning: The Case of Carbon Storage

Climate change mitigation is about reducing greenhouse gas (GHG) emissions. The worldwide goal is to reach net zero, which means balancing the amount of GHG... 11 MIN READ