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My published research focused on a collection of multi-disciplinary areas including modern experimental design, model-based-systems engineering, and decision analysis
Modern Experimental Design
Second-order nearly orthogonal Latin hypercubes for exploring stochastic simulations
Illuminating Tradespace Decisions Using Efficient Experimental Space-Filling Designs for the Engineered Resilient System Architecture
Leveraging a design of experiments methodology to enhance impacts of modeling and simulations for engineered resilient systems
Tradespace Analysis for Multiple Performance Measures
A Systems Design Exploration Approach that Illuminates Tradespaces Using Statistical Experimental Designs
Capturing Experimental Design Insights in Support of the Model-based System Engineering Approach
Collaborative Efforts in Advancing the State-of-the-art of Early Ship Design
Systems Engineering
The Hyper-Enabled Operator
Model-based systems engineering: application and lessons from a technology maturation project
Integrating External Simulations Within the Model-Based Systems Engineering Approach Using Statistical Metamodels
Improving the performance of AI models in tactical environments using a hybrid cloud architecture
A Case Study in Developing an Integrated Data and Model Management System for the Development of a Complex Engineered System
Bridging Systems Engineering Theory and Application in Undergraduate Curricula
DEVS Distributed Parallel Architecture for Enterprise Simulation
Decision Analysis
Multiobjective Decision Analysis with Probability Management for Systems Engineering Trade-off Analysis
Trade-off Analytics: Creating and Exploring the System Tradespace, Chapter 9, An Integrated Model for Trade-off Analysis
Selecting Robotic Power Solutions: A Case Study of Stochastic Value Modeling