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 to a mature beamline with diverse beam conditions and apply machine learning tuning to generate a uniform beam distribution.
