Scott Ferson (professor)

Scott Ferson
Born (1958-08-27) August 27, 1958
Residence Liverpool, United Kingdom
Nationality United States
Alma mater Wabash College (AB)
Stony Brook University (PhD)
Known for p-boxes
probability bounds analysis
Scientific career
Fields risk and uncertainty
uncertainty quantification
uncertainty propagation
environmental science
conservation biology
Institutions University of Liverpool
Stony Brook University
Applied Biomathematics
Doctoral advisor Lawrence Slobodkin
Website sites.google.com/site/scottfersonsite/

Scott David Ferson is Chair of Uncertainty in Engineering at University of Liverpool, Professor in its School of Engineering, and director of the Institute for Risk and Uncertainty there. Before joining University of Liverpool as a faculty member, Ferson taught as an adjunct professor at Stony Brook University and did research at Applied Biomathematics, a small think tank on Long Island, New York.[1] He is a Fellow of the Society for Risk Analysis, which gave him its Distinguished Educator Award in 2017.[2][3] From Shelbyville, Indiana, Ferson received a Ph.D. from Stony Brook University and earned an A.B. summa cum laude from Wabash College.[1]

Ferson is author or editor of several books and an author of over 100 other scholarly publications, mostly in methods for analysing risks and uncertainty for environmental and engineering problems.[4] He developed the notion of the probability box and probability bounds analysis, a technique for distribution-free risk analysis or sensitivity analysis for probabilistic assessments. He authored a series of reports[5] that have been influential in uncertainty quantification for engineering risk assessment and design problems.

References

  1. 1 2 "Ferson, Scott - University of Liverpool". www.liverpool.ac.uk.
  2. "Fellows of the Society : SRA". www.sra.org.
  3. "Nine honored by Society for Risk Analysis" (PDF).
  4. "Welcome to Prof Scott Ferson", University of Liverpool Institute for Risk and Uncertainty Newsletter, January 2017, editor Marco De Angelis, http://riskinstitute.uk.
  5. "Uncertainty projection in engineered systems". sites.google.com.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.