Omar A.
About Omar A.
Omar A. is an R&D Computer Science professional currently working at Sandia National Laboratories and The University of New Mexico, with extensive experience in academia and industry.
Title and Current Positions
Omar A. holds the position of R&D Computer Science and is currently working at both The University of New Mexico and Sandia National Laboratories. At The University of New Mexico, Omar serves as an Adjunct Faculty member, based in Albuquerque, New Mexico, since 2019. Concurrently, Omar has been employed at Sandia National Laboratories since 2018, focusing on R&D in Computer Science.
Past Professional Experience
Omar A. has an extensive professional background spanning various roles and organizations. Omar worked as a Year-Round Intern at Sandia National Laboratories from 2016 to 2018. Prior to that, Omar served as an Instructor at New Mexico State University from 2014 to 2016 and held the roles of Graduate Teaching Assistant and Research Assistant at the same institution from 2012 to 2016. Omar also worked as a C# ASP. Net Developer at Citi in the Dallas/Fort Worth area from 2010 to 2012 and was a System Analyst at Teleplan International in 2010.
Education and Academic Background
Omar A. earned a Doctor of Philosophy (Ph.D.) in Computer Science from New Mexico State University, where he studied from 2012 to 2018. Before that, Omar completed a Master's Degree in Computer Science at Baghdad University, from 2000 to 2003. This solid academic foundation has supported his extensive research and professional work in computer science and high-performance computing (HPC).
Research Focus and Expertise
Omar A.'s research aims to increase the overall utility of expensive high-performance computing (HPC) resources in scientific applications. Omar employs statistical and numerical techniques to analyze behavior patterns of parallel applications. Additionally, he utilizes statistical and machine learning modules to enhance the performance of scientific applications in the HPC field, contributing significantly to advancements in this domain.