The change reflects the reality that Augsburg already offers nine graduate degree programs—including Minnesota’s first program for physician assistants—in addition to its more than 50 undergraduate degree programs.

“Becoming Augsburg University does not change our dedication to our liberal arts mission or our commitment to being small to our students and big for the world,” said Augsburg President Paul C. Pribbenow.

“As we lean into our reality as a university, we will continue our drive toward the intentional diversity for which we are known. We will ensure we are student-ready and can provide those of academic ability with opportunities for hands-on learning, undergraduate research, international study, and internships so that all Auggies are prepared to share their gifts and talents with the world.”

The name change decision was made after a thorough review that included conducting market research, studying the process and impact of name changes by other institutions, and holding open dialogue sessions with a broad set of stakeholders, including students, alumni, faculty, staff, and regents.

More information about the change is at augsburg.edu/university.

About Augsburg: Augsburg offers more than 50 undergraduate majors and nine graduate degrees to nearly 3,600 students of diverse backgrounds at its campus in the vibrant center of the Twin Cities and the Rochester site. Augsburg educates students to be informed citizens, thoughtful stewards, critical thinkers, and responsible leaders. An Augsburg education is defined by excellence in the liberal arts and professional studies, guided by the faith and values of the Lutheran church, and shaped by its urban and global settings.

Campus Photo: Download a photo of campus at

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This year Augsburg College will be represented by two McNair program scholars:

Building an Infrastructure to Recognize an Image’s Evoked Emotion

Chue Xue Lee, computer science, with Prof. Shana Watters

Facial emotion recognition is a subfield of computer vision. A facial emotion recognition system is a computer application for identifying or verifying a person’s emotion from a digital image or a video frame. This research focuses on building a facial emotion recognition infrastructure. A facial emotion recognition algorithm is implemented and used to analyze images to determine whether a given facial image is classified as “happy” or “not happy.” This type of research is important to the development of robotic systems that interact with humans and is also being used for advertisement studies.

Mesoscale Nanopatterning Using Lipid Surfactant Templating

Nana Owusu, physics, with Prof. Kevin Landmark

Contemporary research in the field of nanotechnology has demonstrated the self-assembly of nanoparticles. They spontaneously form patterns guided only by interactions among themselves and with their environment. There are various methods being investigated by researchers to template nanoparticles and transfer the patterns onto a solid substrate. This project explores the use of lipids on a Langmuir trough to organize nanoparticles at the air-water interface as well as the Langmuir-Blodgett technique to deposit the resulting monolayer. The model system that was created employed the lipid dipalmitoylphosphatidylcholine (DPPC) as a templating agent for dye-loaded polystyrene nanoparticles with a negatively charged surface. Both fluorescence microscopy and atomic force microscopy analyses of the deposited monolayers show evidence of nanoparticle patterning by DPPC. The results of this study

warrant further investigation of the technique by extending the system to different lipids, nanoparticle compositions and nanoparticle surface chemistries.

Scholars at the Capitol

Wednesday, Feb. 22, 11 a.m. – 1 p.m.

State Capitol Rotunda

Find more information on the Minnesota Private College Council .

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