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Scott Ferson (professor)

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Scott Ferson
NationalityAmerican
Alma materWabash College (AB)
Stony Brook University (PhD)
Known forp-boxes
probability bounds analysis
Scientific career
Fieldsrisk and uncertainty
uncertainty quantification
uncertainty propagation
environmental science
conservation biology
InstitutionsUniversity of Liverpool
Stony Brook University
Applied Biomathematics
Doctoral advisorLawrence Slobodkin
Websitesites.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 the University of Liverpool, 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 was named a Fellow of the Society for Risk Analysis and received its Distinguished Educator Award in 2017.[2][3] From Shelbyville, Indiana, Ferson received a PhD from Stony Brook University and an A.B. from Wabash College.[1]

Ferson published several books and over 250 other scholarly publications,[4] mostly in methods for analyzing risks and uncertainty for environmental and engineering problems.[5] 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[6] that have been influential in uncertainty quantification for engineering risk assessment and design problems.

References

[edit]
  1. ^ a b "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. ^ https://scholar.google.com/citations?user=6Dz2_9wAAAAJ&hl=en
  5. ^ "Welcome to Prof Scott Ferson", University of Liverpool Institute for Risk and Uncertainty Newsletter, January 2017, editor Marco De Angelis, http://riskinstitute.uk.
  6. ^ "Uncertainty projection in engineered systems". sites.google.com.