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Jeff Voas (Fed)

Computer Scientist

Jeffrey Voas is currently a computer scientist at the US National Institute of Standards and Technology (NIST) in Gaithersburg, MD. Before joining NIST in 2009, Voas was an entrepreneur and co-founded Cigital that was acquired by Synopsys. He served as the IEEE Reliability Society President (2003-2005, 2009-2010, 2017-2018) and served on the IEEE Board of Directors as Division VI Director (2011-2012). Voas co-authored two John Wiley books (Software Assessment: Reliability, Safety, and Testability [1995] and Software Fault Injection: Inoculating Software Against Errors [1998] and was on the Editorial Advisory Board of IEEE Spectrum Magazine (2011-2015).  Voas is the Editor-in-Chief of IEEE Computer Magazine (2020-2025). In 2023, Computer magazine was a Grand Award Winner in the 2023 APEX Awards for Publication Excellence. In 2024, Computer magazine was an Award of Excellence Winner in the 2024 APEX Awards for Publication Excellence. Voas received his undergraduate degree in computer engineering from Tulane University (1985) and received his M.S. and Ph.D. in computer science from the College of William and Mary (1986, 1990 respectively).   Voas is a Fellow of the IEEE, member of IEEE Eta-Kappa Nu (IEEE Honor Society), Fellow of the Institution of Engineering and Technology (IET), Fellow of the American Association for the Advancement of Science (AAAS), and Life Fellow of the Washington Academy of Sciences. Voas is a Distinguished Scientist of ACM and an Emeritus Life member of the College of William and Mary Graduate Studies Advisory Board. Voas received the Gold Medal from the US Department of Commerce in 2014. Washington Academy of Sciences honored Voas with the 2023 Distinguished Career Award in Computer Science.

Publications

Proxy Validation and Verification for Critical AI Systems

Author(s)
Phillip Laplante, Joanna DeFranco, D. Richard Kuhn, Jeff Voas
This white paper offers a suggestion that prior testing artifacts from similar AI systems can be reused for new AI software. Testing AI and Machine learning

Aggregating Atomic Clocks for Time-Stamping

Author(s)
Temur Saidkhodjaev, Jeff Voas, D. Richard Kuhn, Joanna DeFranco, Phil Laplante
A timestamp is a critical component in many applications, such as proof of transaction ordering or analyzing algorithm performance. This paper reports on a

Vetting the Security of Mobile Applications

Author(s)
Michael Ogata, Josh Franklin, Jeff Voas, Vincent Sritapan, Stephen Quirolgico
Mobile applications are an integral part of our everyday personal and professional lives. As both public and private organizations rely more on mobile

Rethinking Distributed Ledger Technology

Author(s)
David R. Kuhn, Dylan J. Yaga, Jeffrey M. Voas
Blockchains were designed to solve the problem of double-spending in cryptocurrencies, and the success of the Bitcoin design has generated vastly more interest
Created October 9, 2019, Updated April 17, 2025