Sifat Moon, Ph.D.
About Sifat Moon, Ph.D.
Sifat Moon, Ph.D., is a scientist at Oak Ridge National Laboratory, specializing in computational tools for graph-based spreading processes. He has a strong academic background with degrees from Kansas State University and has published research in notable journals.
Work at Oak Ridge National Laboratory
Sifat Moon, Ph.D., has been employed as a Scientist at Oak Ridge National Laboratory since 2024. In this role, he has focused on pioneering novel computational tools designed to model and analyze graph-based spreading processes. His work contributes to advancements in computational science and enhances the laboratory's research capabilities.
Education and Expertise
Sifat Moon holds a Doctor of Philosophy (Ph.D.) in Computer Engineering from Kansas State University, which he completed in 2020. He also earned a Master of Science (MS) in Electrical and Computer Engineering from the same institution in 2018. His undergraduate degree is a Bachelor of Science (BSc) in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology, obtained in 2012. His academic background equips him with expertise in developing end-to-end solutions utilizing real-world data.
Previous Employment Experience
Before joining Oak Ridge National Laboratory, Sifat Moon worked as a Postdoctoral Research Fellow at the University of Virginia from 2021 to 2024, focusing on Network System Science and Advanced Computing. He also served as a Senior Software Engineer at Samsung R&D Institute Bangladesh from 2013 to 2016. Additionally, he was a Graduate Research and Teaching Assistant at Kansas State University from 2016 to 2021, where he contributed to both research and education.
Research Publications
Sifat Moon has published research in several prestigious journals, including Nature Scientific Reports, IEEE Transactions on Network Science and Engineering, and Royal Society Open Science. His publications reflect his contributions to the fields of computational science and engineering, showcasing his research findings and methodologies.