Faculty Archives - Page 4 of 22 - Systems Engineering

Enhancing Defect Detection in Circuit Board Assembly Using AI and Text Analytics for Component Failure Classification

A flawed circuit board with text over it “Enhancing Defect Detection in Circuit Board Assembly Using AI and Text Analytics for Component Failure Classification”

Automated Vehicle Lane Centering SystemRequirements Informed by Resilience Engineering and a Solution UsingInfrastructure-Based Sensors

Image of a normal street with lane lines digitally painted over and boxes highlighting street signs.

Engineering alum receives patent for integrated prosthetic device developed at CSU

A graphic that includes a photo of a man wearing a collared shirt and glasses. Next to the image is a digital drawing of the medical device he designed. Text includes US patent number 11992411. Adam Morrone.

Patent number US 11992411 describes a medical device engineered to assist in the attachment of lower limb prosthetics directly to a patient’s bone.

We have 36 amazing graduates in Spring & Summer 2024!

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First students graduate from CSU’s System Engineering Accelerated Master’s Program

Graphic with images of two men. One has his thumb up and has on a Microsoft shirt. The other is in hiking cloths on top of a mountain. Text reads: System's first AMP grads!

Report outlines ways to spur homeowner investment to address climate change

A graphic of a man over an aerial view of Fort Collins, Colorado.

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.

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.

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.