Speaker
Eiad Hamwi
(BNL)
Description
Eiad Hamwi is a physicist specializing in accelerator beam dynamics and simulation. He completed his Ph.D. at Cornell and is currently a postdoc at the collider-accelerator department at BNL. His current focus is on adaptive digital twins for robust control and inference.
This talk summarizes the recent efforts to build a digital twin model for NSRL, a mature beamline with diverse beam conditions, and application of machine learning tuning to generate a uniform beam distribution for experiments.
