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2018 Best PIC I Paper: Industrial Engineering Division: Immersive Virtual Training Environment for Teaching Single- and Multi-queuing Theory: Industrial Engineering Queuing Theory Concepts

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

DISTINGUISHED LECTURE: 2018 Best PIC and Zone Paper Presentations

Tagged Topic

ASEE Board of Directors

Page Count

23

Permanent URL

https://peer.asee.org/31931

Download Count

13

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Paper Authors

biography

Michael Andre Hamilton Mississippi State University

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Dr. Michael A. Hamilton is an Associate Director at Mississippi State University's Institute for System Engineering Research (ISER) in Vicksburg, MS. He received his Doctorate, Master and Bachelor degrees in Industrial and Systems Engineering from Mississippi State University and has a graduate certificate in Modeling, Simulation, and Visualization Engineering from Old Dominion University. Currently, he is the technical lead for Big Data Analytic and Visualization, and Surrogate Modeling efforts in conjunction with the U.S. Army Engineer Research and Development Center (ERDC). Over the past 4 years, Dr. Hamilton have been leading the efforts for developing immersive virtual environments for conducting data analyzes of tradespace data sets. The immersive data visualization systems allows stakeholders the ability to visualize the tradespace options, subset the data, and work in collaboration with other analysts within the same virtual environment. Other research interest includes using virtual reality for enhancing classroom education in engineering programs.

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Abstract

Best PIC I Paper

Hamilton, M. A. (2019, June), 2018 Best PIC I Paper: Industrial Engineering Division: Immersive Virtual Training Environment for Teaching Single- and Multi-queuing Theory: Industrial Engineering Queuing Theory Concepts Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/31931

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