Students Archives - Page 3 of 14 - Systems Engineering

From Childhood Curiosity to Combating Climate Change

A women researcher in a hardhat with a wired network at her feet and mountains in the background.

Researchers highlight potential cybersecurity threats to trucking industry, supply chain

A CSU-branded commercial truck sits next to a Tesla car.

Bridging the Technologist/Policymaker Divide in Digital Privacy

Photo of an older man with a faded graphic behind him. Text reads "IEEE Digital Privacy Model, Kent Lambert, Doctoral Student.

Accounting for climate change in the water infrastructure design: evaluating approaches and recommending a hybrid framework

Image of a flood risk map with the following text overlayed: Adaptive Management Approaches, Inverse Climate Change Impact Methods, Machine Learning Methods, Adjusted Flood Frequency Analysis Methods, Soft Computing Methods.

A Geo-Spatial Method for Calculating BEV Charging Inconvenience Using Publicly Available Data

Image of an electric vehicle charging.

Colorado State University key leader in $160M NSF-funded climate, community, and technology initiative

Clouds form and rain falls with burned trees in the foreground.

Predicting the Dynamics of Earned Value Creation in the Presence of Technical Debt

Image shows a ball and chain locked to a flowchart representing a system. On the ball is the term “Technical Debt.” Above this image there is a graph with the following caption: “FIGURE 10. Cumulative probabilities of completing the aircraft project under various technical debt and parallelism assumptions.” The variable Cumulative Probability on the Y axis, and the variable Project Duration (months) on the X axis. The lines showing “No Technical Debt” has the lowest time projection. The lines showing “High Technical Debt” has the most time projection. This is true when adjusting for task parallelism, though shifted down the X axis quite a lot.

Electric utility construction: Causes and types of field change orders

Image of a powerline with a graph overlayed showing that field order changes drive up costs, especially when burying powerlines.

Context-Aware Personalization: A Systems Engineering Framework

Image of an A-P-I diagram over a web search-results page for “online shopping.” Text reads: Figure 5. Context-awareness subsystem architecture.

Applying the heteroskedastic ordered probit model on injury severity for improved age & gender estimation

An image of cars accelerating at a traffic light. There is a graph overlayed in the sky demonstrating heteroscedasticity.