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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Ho Nieh nominated to the NRC
Nieh
President Trump recently nominated Ho Nieh for the role of commissioner in the Nuclear Regulatory Commission through the remainder of a term that will expire June 30, 2029.
Nieh has been the vice president of regulatory affairs at Southern Nuclear since 2021, though he is currently working as a loaned executive at the Institute of Nuclear Power Operations, where he has been for more than a year.
Nieh’s experience: Nieh started his career at the Knolls Atomic Power Laboratory, where he worked primarily as a nuclear plant engineer and contributed as a civilian instructor in the U.S. Navy’s Nuclear Power Program.
From there, he joined the NRC in 1997 as a project engineer. In more than 19 years of service at the organization, he served in a variety of key leadership roles, including division director of Reactor Projects, division director of Inspection and Regional Support, and director of the Office of Nuclear Reactor Regulation.
Iván Lux
Nuclear Science and Engineering | Volume 73 | Number 1 | January 1980 | Pages 66-75
Technical Paper | doi.org/10.13182/NSE80-A18709
Articles are hosted by Taylor and Francis Online.
Sufficient conditions are provided in terms of transition kernels under which one game results in a lower variance than another game when both estimate the same quantity. By defining the efficiency of a Monte Carlo game by the inverse of the product of the variance and the number of collisions per history and the computing time per collision, and by using a special approximation, called the separation assumption, for the evaluation of integrals occurring in the analysis, it is shown in a simplified situation that the expected leakage probability method in reaction rate and leakage estimations, although reducing the variance, is less efficient than the analog game with an expectation estimator. The efficiency of a game with survival biasing and Russian roulette is examined, and a simple method is presented for the determination of a quasi-optimum value of the Russian roulette parameter.