Hussain Kadhem is a Ph.D. student in mathematics at UC Berkeley, with a primary research interest in higher geometry and the formalization of quantum field theory and quantum gravity. Their work at Berkeley Lab currently focuses on the testing and implementation of Fortran parallel programming features in the Flang frontend of LLVM.
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Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao,
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges,
2022 Snowmass Summer Study,
2022,
Chun-Yi Wang, others,
Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline,
20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing,
2022,
Alina Lazar, others,
Accelerating the Inference of the Exa.TrkX Pipeline,
20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing,
2022,
Xiangyang Ju, others,
Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors,
33rd Annual Conference on Neural Information Processing Systems,
2020,
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