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Phillip Laplante (Fed)

He is currently a computer scientist at the US National Institute of Standards and Technology (NIST) in Gaithersburg, MD. He spent more than 30 years in academia as professor, researcher and administrator and has been a software engineer and project manager for avionics, CAD, and software testing systems. He has published 38 books and more than 300 scholarly papers and is a licensed professional engineer in the Commonwealth of Pennsylvania. 

His research interests are in all aspects of software engineering for safety critical systems in a wide range of applications. He received his B.S., M.Eng., and Ph.D. from Stevens Institute of Technology and an MBA from the University of Colorado. He is a Fellow of the IEEE and SPIE and has won international awards for his teaching, research and service. From 2010-2017 he led the effort to develop a national licensing exam for software engineers.

Selected Publications

Building Caring Healthcare Systems in the Internet of Things

Author(s)
Phillip Laplante, Mohamad Kassab, Nancy Laplante, Jeff Voas
The nature of healthcare and the computational and physical technologies and constraints present a number of challenges to systems designers and implementers

In Trust we Trust

Author(s)
Keith Miller, Jeff Voas, Phillip Laplante
The term trust has had a well understood definition for centuries. However after e-trust came along, and then cloud, where e-trust is not sufficient due to the

In IoT We Trust?

Author(s)
Jeff Voas, D. Richard Kuhn, Phillip Laplante
In this short article, we review an abbreviated list of trust challenges that we foresee as increased adoption transforms the IoT into another ubiquitous

Internet of Things (IoT) Metrology

Author(s)
Jeff Voas, D. Richard Kuhn, Phillip Laplante
The field of metrology has evolved into many classes and viewpoints over centuries of time. What we are suggesting is how that body of knowledge may be

Thoughts on Higher Education and Scientific Research

Author(s)
Jeffrey M. Voas, George Hurlburt, Keith Miller, Phillip Laplante, Bret Michael
The notion of a "tipping point" isn't new, al though the concept has relevance in differing ways. Academia seems to be at a tipping point, whereby the steady

Educating Next-Gen Computer Scientists

Author(s)
Jeff Voas, D. Richard Kuhn, Celia Paulsen, Kim B. Schaffer
Just as yeast, flour, water, and salt are to bread, algorithms, data structures, operating systems, database design, compiler design, and programming languages

Testing IoT Systems

Author(s)
Jeffrey M. Voas, David R. Kuhn, Phil Laplante
The ability to test systems that are based on the underlying products and services commonly referred to as the Internet of 'things' (IoT) is discussed. The role

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

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
View more Publications
Created December 8, 2019, Updated December 9, 2022