Ahmed Hussein
About Ahmed Hussein
Ahmed Hussein is a Software Engineer at Lightmatter in Austin, Texas, specializing in photonic machine learning. He holds a Ph.D. in Mechanical Engineering from The Johns Hopkins University and has extensive experience in software development across various organizations.
Work at Lightmatter
Ahmed Hussein has been employed at Lightmatter since 2022 as a Software Engineer. In this role, he focuses on developing runtime libraries tailored for photonic machine learning accelerators. His contributions support the advancement of photonic computing technologies, which are essential for enhancing computational efficiency and performance.
Education and Expertise
Ahmed Hussein holds a Doctor of Philosophy (Ph.D.) in Mechanical Engineering from The Johns Hopkins University, where he studied from 2011 to 2015. He also earned a Master's degree in Mechanical Engineering from the same institution in 2012. Prior to that, he completed a Master of Science in Solid and Structural Mechanics at Cairo University from 2008 to 2010, and a Bachelor of Science in Aerospace Engineering from 2003 to 2008. His academic background provides a strong foundation for his expertise in software development for photonic computing.
Professional Background
Ahmed Hussein has a diverse professional background in software engineering and research. He worked at Applied Science International, LLC as a Software Developer from 2008 to 2011. He then joined Canon Nanotechnologies, where he served as a Senior Fluid Dynamics Engineer from 2018 to 2020 and as a Staff Research and Development Engineer from 2020 to 2022. Additionally, he was a Software Developer II at ANSYS, Inc. from 2016 to 2018 and a Research Scientist at the Air Force Research Laboratory from 2015 to 2016. His experience includes a significant tenure as a Graduate Research Assistant at Johns Hopkins University from 2011 to 2015.
Contributions to Photonic Machine Learning
Ahmed Hussein has made notable contributions to the field of photonic machine learning through his software engineering work. His role at Lightmatter involves the development of software that enhances the capabilities of photonic computing technologies. This work is critical in advancing the integration of machine learning with photonic systems, which has implications for various applications in computing and data processing.