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Michael Sharp (Fed)

Reliability Engineer

Dr. Michael E. Sharp is a Reliability Engineer at the National Institute of Standards and Technology (NIST) located in Gaithersburg, MD. He received a B.S (2007), M.S. (2009), and Ph.D. (2012) in Nuclear Engineering from the University of Tennessee, Knoxville, TN, USA. His research interests include signal analytics, machine learning, artificial intelligence, optimization, and natural language processing. Michael has worked on a wide array of projects including image processing for elemental material recognition, navel reliability monitoring, and manufacturing robotics diagnostic monitoring. He currently works as a project lead on Industrial Artificial Intelligence Management and Metrology (IAIMM) at NIST in the Communications Technology Laboratory.

Publications

Data and Software Publications

Simantha: Simulation for Manufacturing

Author(s)
Michael Hoffman, Mehdi Dadfarnia, Serghei Drozdov, Michael Sharp
Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines

Human Observational Data in a Production Environment

Author(s)
Radu Pavel, Michael K. Dawson Jr., Michael E. Sharp
A heterogeneous dataset of human measurement data and human-generated text. This dataset was generated by TechSolve Inc. (techsolve.org) as a collaborative effort with NIST. Respondents were asked to
Created August 15, 2019, Updated December 8, 2022
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