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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Senate EPW Committee to hold Nieh nomination hearing
Nieh
The Senate Environment and Public Works Committee will hold a nomination hearing Wednesday for Ho Nieh, President Donald Trump’s nominee to serve as commission at the Nuclear Regulatory Commission.
Trump nominated Nieh on July 30 to serve as NRC commissioner the remainder of a term that will expire June 30, 2029, as Nuclear NewsWire previously reported.
Nieh has been vice president of regulatory affairs at Southern Nuclear since 2021, though since June 2024 he has been at the Institute of Nuclear Power Operations as a loaned executive.
A return to the NRC: If confirmed by the Senate, Nieh would be returning to the NRC after three previous stints totaling nearly 20 years.
Ahmad Al Rashdan, Vivek Agarwal
Nuclear Technology | Volume 205 | Number 8 | August 2019 | Pages 1053-1061
Technical Paper – Special section on Big Data for Nuclear Power Plants | doi.org/10.1080/00295450.2019.1601469
Articles are hosted by Taylor and Francis Online.
The migration of paper-based work packages to an electronic version for the nuclear power industry results in opportunities for work optimization through data analytics and integration. This can only be achieved if the work package is broken into its data elements and stored in a structured data form. The contribution of this paper is the development of a set of guidelines that enables creating a data model from breaking the work package into its data elements. The data model can be used to create a common information model for work packages at nuclear power plants. The results presented and discussed in this paper highlight distinctive data model characteristics regarding the work element properties and associations; work package topology; properties cascade; elements and properties function; templates and instances; and steps flow. In total, 13 guidelines were identified as part of this work. The resulting benefits from the extracted data model are enabling step-level review of the work, reducing planning effort, and automating work package creation and formatting. In addition, coupling work process data with other data sources at the plant improves overall maintenance activity efficiency by enabling capabilities such as real-time schedule update and automatic allocation and release of work resources.