Bio
Sifat Moon is a Research Scientist for HPC and AI in Health within the Biostatistics and Multiscale Systems Modeling Group in the Computational Sciences and Engineering Division.
Prior to joining ORNL, she was a Postdoctoral Research Associate in the Network Systems Science and advanced Computing (NSSAC) section at the University of Virginia. She received her Ph.D. in Computer Engineering from Kansas State University in 2021 for her dissertation “Modeling and analysis of stochastic contagion processes over large networks from limited data.” Dr. Moon’s research areas include computational science, scalable data mining, graph algorithms, machine learning, and discrete algorithms on HPC systems. In her Ph.D., she worked on solving discrete algorithmic questions and developed large network systems to solve real-world spatiotemporal concerns. Before embarking on her Ph.D. journey, Dr. Moon gained valuable industry experience as a software engineer at Samsung Research & Development Institute, where she contributed to the design of sketching algorithms for the Samsung drawing engine and enhanced its performance. Her diverse background and research interests position her as a skilled expert in computational network science.
Education
Kansas State University, Electrical and Computer Engineering, Ph.D., 2021
Kansas State University, Electrical and Computer Engineering, M.SC., 2018
Bangladesh University of Engineering and Technology, Electrical and Electronic Engineering, B.Sc., 2013
Professional Service
Reviewer of IEEE Transactions on Network Science and Engineering, IEEE Networking Letters, PLOS Computational Biology, PLOS One, Journal of Theoretical Biology, Nature Scientific Reports, and Association for the Advancement of Artificial Intelligence (AAAI).
Trademarks and Patents
Mozumder MS, Moon SA, Nandy J, Mondol MA, Islam SU, inventors; Samsung Electronics Co Ltd, assignee. Collaborative drawing method and electronic device therefor. United States patent application US 15/262,676. 2017 May 4. https://patents.google.com/patent/US20170123648A1/en