ORNL taps ANS Fellow Icenhour as deputy for operations

March 31, 2021, 12:01PMANS Nuclear Cafe

Icenhour

Alan S. Icenhour, an ANS member since 2002 and a Fellow, has been named deputy for operations at the Department of Energy’s Oak Ridge National Laboratory. He succeeds Jeff Smith, who is retiring this spring after serving in the role since UT-Battelle began operating the lab in 2000.

Background: Icenhour joined ORNL in 1990 as an engineer and served most recently as associate laboratory director for the Isotope Science and Engineering Directorate. He led the Nuclear Science and Engineering Directorate from 2014 until the isotopes directorate was formed in October 2020, and he has held a variety of other leadership positions as well as an assignment as senior technical adviser to the National Nuclear Security Administration.

ANS Fellows elected to National Academy of Engineering

February 23, 2021, 9:31AMANS News

Magwood

Peters

ANS Fellows William D. Magwood IV and Mark T. Peters have been elected to the National Academy of Engineering (NAE).

Magwood, an ANS member since 1983, is the secretary general for the OECD Nuclear Energy Agency. He was elected for “leadership and contributions to research programs that drive innovation in global nuclear energy enterprises.”

Peters, an ANS member since 2007 and the executive vice president for Laboratory Operations at Battelle, was elected “for leadership and contributions in advancing U.S. nuclear energy capabilities and infrastructure.”

B. John Garrick, pioneer in development and application of risk sciences, passes away

November 9, 2020, 12:00PMANS News

Garrick

B. John Garrick, ANS Fellow and member since 1956 and an international authority on quantitative risk assessment, died on November 1 due to complications from a fall. He was 90.

Garrick, a distinguished adjunct professor of materials science and engineering at the University of California at Los Angeles, established his trailblazing theory on risk sciences in his Ph.D. thesis, which contributed to building the foundation of probabilistic risk assessment. Also referred to as quantitative risk assessment, it offers a guide to corrective actions to eliminate threats and to best practices for managing low-probability, high-consequence events resulting from natural and man-made disasters.