Impact Archives - Page 4 of 14 - Systems Engineering

Research: Switch to green wastewater infrastructure could reduce emissions, provide huge savings

A young man stands outside in a summer landscape.

Floor tiles celebrate graduate student contributions to CSU Energy Institute research, entrepreneurship

A woman in a light coat stands on a sidewalk with cars in the background.

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.

CSU Systems Engineering key to $1.4 million workforce grant to Innosphere Ventures

Image of Tom Bradley speaking, an electric car charging, and solar panels with plants growing between them.

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.

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

Image of an electric vehicle charging.

Federal award to CSU and CDOT will support planning needed to improve regional electric vehicle charging infrastructure

Car charging with wires going across a sidewalk.

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.