Awarded a $600,000 grant by the Department of Energy's Office of Science through the FAIR initiative to develop algorithms that efficiently handle the training and inference processes for Graph Neural Networks used in particle tracking within High Energy Physics applications.
Research Experience
Summer 2024: Visiting Faculty at Lawrence Berkeley National Lab in the Physics and X-Ray Science Group; Research Project: Investigating Large-Scale Models for High-Energy Physics Pattern Recognition, collaborating with Paolo Calafiura from LBNL.
Background
Professor in Data Science, Deep Learning, and Programming.
Miscellany
Office: 334 Meshel Hall; Phone: 330-941-3468; Email: alazar at ysu dot edu; Affiliation: Department of Computer Science and Information Systems, Youngstown State University