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M&S Graduates of 2020
M&S Graduates of 2020
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M&S Graduates of 2020
M&S Graduates of 2020
Nick Viano
2023-08-07T19:22:46-04:00
M&S Graduates of 2020
Dissertation/Thesis Title links to online text, if available. Click title to access text.
Graduate
Program
Semester
Advisor
Dissertation/Thesis Title
Kristian Damkjer
Ph.D.
Summer
Foroosh, Hassan
An Information-Potential Approach to Airborne LiDAR Point Cloud Sampling and Assessment
Tamara Griffith
Ph.D.
Spring
Bockelman, Patricia
Interactions Between Humans, Virtual Agent Characters and Virtual Avatars
John Aedo
Ph.D.
Spring
Proctor, Michael
The Level of Creative Thinking of STEM-oriented Middle and High School Children Associated with the Level of Self-motivated Play and Success Within a Builder Game and Engagement in Builder Gaming Communities' Social Media Culture
Rebecca Leis
Ph.D.
Fall
Caulkins, Bruce
Natural Language Processing for Modeling Domains in Higher Education
Rachid Ait Maalem Lahcen
Ph.D.
Fall
Kassab, Alain
Explicit calculation of smoothed sensitivity coefficients for linear problems
Thomas Kehr
Ph.D.
Fall
Proctor, Michael
Exploring Delphi Method Generated Synthetic Natural Environment (SNE) Visual Aesthetic Quality (VAQ) Factor Forecasts and Preferences through Conjoint Analysis of End User Assessments
Armando Fandango
Ph.D.
Fall
Wiegand, Rudolph
Investigation of Recurrent Neural Network architectures based Deep Learning for Short-Term Traffic Speed Forecasting
Sarah Matthews
Ph.D.
Fall
Proctor, Michael
Integrating Technology Acceptance Model and Health Belief Model Factors to Better Estimate Intelligent Tutoring System Use for Surge Capacity Public Health Events and Training
Graduating Class
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